Total inspiratory and expiratory impedance in patients with severe chronic obstructive pulmonary disease

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OKG: Older knee osteoarthritis and total knee arthroplasty group. OG: Older control group. YG: Young control group. OA: Lower limb with knee osteoarthritis. TKA: lower limb with total knee arthroplasty. a denotes significant difference between TKA and OA legs (p<0.05)." ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "Emmanuel Gomes Ciolac, Júlia Maria D'Andréa Greve" "autores" => array:2 [ 0 => array:2 [ "nombre" => "Emmanuel Gomes" "apellidos" => "Ciolac" ] 1 => array:2 [ "nombre" => "Júlia Maria D'Andréa" "apellidos" => "Greve" ] ] ] ] ] "idiomaDefecto" => "en" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S1807593222019184?idApp=UINPBA00004N" "url" => "/18075932/0000006600000012/v1_202212011437/S1807593222019184/v1_202212011437/en/main.assets" ] "en" => array:19 [ "idiomaDefecto" => true "cabecera" => "CLINICAL SCIENCE" "titulo" => "Total inspiratory and expiratory impedance in patients with severe chronic obstructive pulmonary disease" "tieneTextoCompleto" => true "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "2085" "paginaFinal" => "2091" ] ] "autores" => array:1 [ 0 => array:4 [ "autoresLista" => "Karla Kristine Dames Silva, Agnaldo José Lopes, José Manoel Jansen, Pedro Lopes de Melo" "autores" => array:4 [ 0 => array:3 [ "nombre" => "Karla Kristine Dames" "apellidos" => "Silva" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "I" "identificador" => "aff1" ] ] ] 1 => array:3 [ "nombre" => "Agnaldo José" "apellidos" => "Lopes" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "II" "identificador" => "aff2" ] ] ] 2 => array:3 [ "nombre" => "José Manoel" "apellidos" => "Jansen" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "II" "identificador" => "aff2" ] ] ] 3 => array:4 [ "nombre" => "Pedro Lopes" "apellidos" => "de Melo" "email" => array:1 [ 0 => "plopes@uerj.br" ] "referencia" => array:3 [ 0 => array:2 [ "etiqueta" => "I" "identificador" => "aff1" ] 1 => array:2 [ "etiqueta" => "III" "identificador" => "aff3" ] 2 => array:2 [ "etiqueta" => "*" "identificador" => "cor1" ] ] ] ] "afiliaciones" => array:3 [ 0 => array:3 [ "entidad" => "State University of Rio de Janeiro, Faculty of Engineering, Institute of Biology, Biomedical Instrumentation Laboratory, Rio de Janeiro/RJ, Brazil." "etiqueta" => "I" "identificador" => "aff1" ] 1 => array:3 [ "entidad" => "State University of Rio de Janeiro, Faculty of Medical Sciences, Pulmonary Function Laboratory, Rio de Janeiro/RJ, Brazil." "etiqueta" => "II" "identificador" => "aff2" ] 2 => array:3 [ "entidad" => "State University of Rio de Janeiro, Institute of Biology, BioVasc Research Laboratory, Rio de Janeiro/RJ, Brazil." "etiqueta" => "III" "identificador" => "aff3" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "cor1" "etiqueta" => "*" "correspondencia" => "Tel.: 55 021 2334-0705" ] ] ] ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig1" "etiqueta" => "Figure 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 389 "Ancho" => 498 "Tamanyo" => 24603 ] ] "descripcion" => array:1 [ "en" => "Mean Zrs values during the ventilatory cycle in COPD (red lines) and healthy subjects (blue lines)." ] ] ] "textoCompleto" => "INTRODUCTIONChronic obstructive pulmonary disease (COPD) is a major cause of morbidity and mortality worldwide.<a class="elsevierStyleCrossRef" href="#bib1">1</a> According to World Health Organization estimates, 80 million people have moderate to severe COPD, and more than 3 million people died of COPD in 2005, which corresponds to 5% of all deaths globally.<a class="elsevierStyleCrossRef" href="#bib2">2</a>The airway obstruction resulting from COPD is associated with a progressive increase in airflow limitation,<a class="elsevierStyleCrossRef" href="#bib1">1</a> which is usually evaluated by spirometric tests. However, these tests require good cooperation and maximal effort by the subject. Thus, these tests may be unreliable and variable if sub-optimal maneuvers are performed.<a class="elsevierStyleCrossRef" href="#bib3">3</a>Forced oscillation technique (FOT) offers a simple, detailed approach for investigating the mechanical properties of the respiratory system. In practice, sinusoidal excitations are superimposed on the subject's spontaneous breathing at the airway opening by a loudspeaker, requiring little patient cooperation.<a class="elsevierStyleCrossRefs" href="#bib4">4–6</a> The resulting oscillations in air flow and pressure are recorded and used to estimate the mechanical impedance of the respiratory system. These features make this technique potentially suitable for the routine evaluation of respiratory function in COPD.<a class="elsevierStyleCrossRefs" href="#bib7">7–9</a>Studies using the FOT often use several excitation frequencies (multifrequency FOT) to obtain an average result from several breathing cycles.<a class="elsevierStyleCrossRefs" href="#bib5">5–9</a> This approach does not allow a detailed, individual analysis of the inspiratory and expiratory phases of the respiratory cycle. Recently, a version of the FOT that uses a single excitation frequency (monofrequency FOT) was developed, and this technique allows within-breath analysis of respiratory mechanics.<a class="elsevierStyleCrossRef" href="#bib10">10</a> For within-breath analysis, the system evaluates, in real time, the module of the respiratory impedance (Zrs), which is associated with respiratory system resistance (Rrs) and reactance (Xrs) as described in equation 1: <elsevierMultimedia ident="f10"></elsevierMultimedia>These measurements are related to the total mechanical load provided by the respiratory system. This method has been successfully used to study the fast events associated with sleep apnea<a class="elsevierStyleCrossRefs" href="#bib10">10,11</a> and swallowing.<a class="elsevierStyleCrossRef" href="#bib12">12</a> Other research groups have obtained promising results using the monofrequency forced oscillation technique (MnFOT) for the detection of expiratory flow limitations in patients with COPD,<a class="elsevierStyleCrossRefs" href="#bib13">13,14</a> investigating physiological recovery from an exacerbation of COPD<a class="elsevierStyleCrossRef" href="#bib15">15</a> and analyzing responses to deep inhalation in asthmatic children<a class="elsevierStyleCrossRef" href="#bib16">16</a> and adults.<a class="elsevierStyleCrossRef" href="#bib17">17</a> A detailed evaluation of the short-term variability of airway caliber in asthma was also recently accomplished using this technique.<a class="elsevierStyleCrossRefs" href="#bib18">18,19</a> Dellacá et al.<a class="elsevierStyleCrossRef" href="#bib20">20</a> recently used MnFOT to assess response to salbutamol in COPD patients, and Veiga et al.<a class="elsevierStyleCrossRef" href="#bib21">21</a> obtained promising results using this technique to investigate the pathophysiology of asthmatic patients in the diagnosis of this disease. However, there are limited data reported on the use of respiratory impedance in the analysis of different phases of the breathing cycle<a class="elsevierStyleCrossRefs" href="#bib22">22–24</a> and its use in the diagnosis of COPD. The cited studies were based on an impulse oscillation system, which has some differences from classical FOT, including the data processing and the parameters used to interpret raw data.The objectives of the present study were the following: (1) to compare the respiratory mechanics of normal individuals and those with COPD, with an emphasis on the differences between phases of the respiratory cycle and (2) using spirometry as a reference technique, to evaluate the ability of MnFOT in the clinical diagnosis of increased airway obstruction in patients with severe COPD.MATERIALS AND METHODSStudy design and ethical considerationsThe present work is a controlled cross-sectional study that was developed at the State University of Rio de Janeiro. The examinations included spirometry and FOT measurements. These measurements were performed at the Biomedical Instrumentation Laboratory in the Institute of Biology in conjunction with the Pulmonary Function Laboratory at Pedro Ernesto University Hospital. The Research Ethics Committee of this institution approved this study. The objectives of the study were explained to all individuals, and their written consent was obtained before their inclusion in the study.SubjectsThis study involved volunteers with normal spirometric evaluations who never smoked and patients with COPD from our outpatient clinic. Inclusion criteria for COPD individuals were the following: older than 50 years, being of either sex, having a diagnosis of COPD according to the criteria of GOLD<a class="elsevierStyleCrossRef" href="#bib1">1</a> and the Brazilian Society of Pneumology and Tisiology,<a class="elsevierStyleCrossRef" href="#bib25">25</a> and being classified as having accentuated obstructive lung disease according to Jansen.<a class="elsevierStyleCrossRefs" href="#bib7">7,26–28</a> The exclusion criteria were the following: COPD exacerbation occurring less than 90 days previously, the presence of other chronic lung diseases, tuberculosis or pneumonia, the presence of thoracic trauma or surgery, respiratory infections occurring less than 30 days previously and the inability to perform examinations.The control group consisted of healthy volunteers of both sexes who were older than 50 years with no history of pulmonary disease, cardiovascular disease or smoking. The individuals selected for the control group had normal spirometry results<a class="elsevierStyleCrossRefs" href="#bib7">7,26–28</a> and underwent a clinical examination to observe their general health and the absence of respiratory infections. Baseline data, including age, sex, and height, were obtained from each patient at the time of the test procedures.Study protocolThe exams were previously scheduled by phone, and the subjects were informed of the need to suspend the use of bronchodilators during the 12 hours that preceded the tests. On the scheduled date, the examination sequence was carried out as follows: the evaluation of clinical history, the collection of anthropometric measurements (age, body weight and height) and risk factors associated with the disease, testing FOT impedance, and, finally, gathering spirometric measurements.Within-breath respiratory impedance measurementsThe system used for respiratory impedance analysis was developed in our laboratory. It is based on equipment described previously by our group for the study of respiratory disorders during sleep.<a class="elsevierStyleCrossRefs" href="#bib10">10,11</a> Briefly, the instrument applies a single frequency (5 Hz), low pressure (2.0 cmH2O) sinusoidal signal to the subject's respiratory system, which remains under spontaneous ventilation. Pressure (P) and flow (V´') transducers placed near the subject's mouth are used in the measurement of these variables. The resulting signals are recorded by an analog signal processing circuit to perform calculations to obtain the Zrs (Zrs = P/V´') in real time. This variable is known as the impedance module and describes the total mechanical load of the respiratory system, including the effects of resistance and reactance.<a class="elsevierStyleCrossRefs" href="#bib11">11,21</a> The instrument was calibrated by means of a reference mechanical load and, after this, measurement errors were <0.5%.<a class="elsevierStyleCrossRefs" href="#bib10">10,11</a> The system program was developed in the LabView 8.2 environment and permits the control of the beginning and end of the exam as well as the visualization of respiratory impedance alterations that occur during the phases of the breathing cycle.<a class="elsevierStyleCrossRefs" href="#bib10">10,11</a> This allows an easy evaluation of the reproducibility of a patient's impedance values during the tests. We discarded distortions during the recording that were due to artifacts such as coughs or sneezes. Whenever the impedance time series was not considered adequate, the maneuver was not considered valid and was repeated. When correct maneuvers could not be obtained, the volunteers were excluded from the study.The mechanical alterations during different phases of the respiratory cycle were characterized using the following secondary parameters:<ul class="elsevierStyleList" id="celist10"><li class="elsevierStyleListItem" id="celistitem10">•The mean respiratory impedance (Zm), calculated for the complete exam;</li><li class="elsevierStyleListItem" id="celistitem20">•The mean impedance during the inspiration cycles (Zi);</li><li class="elsevierStyleListItem" id="celistitem30">•The mean impedance during the expiration cycles (Ze);</li><li class="elsevierStyleListItem" id="celistitem40">•The mean impedance at the beginning of inspiration (Zbi);</li><li class="elsevierStyleListItem" id="celistitem50">•The mean impedance at the beginning of expiration (Zbe);</li><li class="elsevierStyleListItem" id="celistitem60">•The peak-to-peak impedance (Zpp), the difference between Zbe and Zbi;</li><li class="elsevierStyleListItem" id="celistitem70">•The mean change in the impedance (ΔZrs), the difference between Ze and Zi.</li></ul>SpirometrySpirometry tests were performed using a flow spirometer (Micro Medical, model MicroLoop, SP, Brazil). The tests followed procedures recommended by the Brazilian Consensus on Spirometry<a class="elsevierStyleCrossRef" href="#bib29">29</a> and were performed by a trained technician, as described by the Brazilian Thoracic Society.<a class="elsevierStyleCrossRef" href="#bib25">25</a> The following parameters were considered:<ul class="elsevierStyleList" id="celist20"><li class="elsevierStyleListItem" id="celistitem80">•Forced expiratory volume in one second (FEV1);</li><li class="elsevierStyleListItem" id="celistitem90">•Forced vital capacity (FVC);</li><li class="elsevierStyleListItem" id="celistitem100">•FEV1/FVC ratio;</li><li class="elsevierStyleListItem" id="celistitem110">•Forced expiratory flow between 25-75% of FVC (FEF25-75);</li><li class="elsevierStyleListItem" id="celistitem120">•The FEF/FVC.</li></ul>All parameters were assessed as absolute and percentage values relative to the value predicted for gender, age and height according to Pereira et al.<a class="elsevierStyleCrossRef" href="#bib30">30</a> and following the criteria established by the American Thoracic Society and European Respiratory Society.<a class="elsevierStyleCrossRefs" href="#bib31">31,32</a> FOT exams were carried out first, and the delay between FOT and spirometric exams was less than thirty minutes.Sample size and statistical analysisTo estimate the sample size, a pilot study in a group of 20 subjects (10 subjects with COPD and 10 controls) was conducted using a protocol identical to that described above. Based on these preliminary results, the software MedCalc® 8.2 (Medicalc Software Mariakerke, Belgium) was used to calculate the sample size based on the difference between means, assuming type I and type II errors of 1%. The minimum calculated value for this study consisted of 12 individuals for each group.Data are presented as means±SD. Initially, the characteristics of the samples were evaluated using the Shapiro-Wilk test. Next, depending on the characteristic, we used the independent Student's t test or Mann-Whitney U test to assess differences between-groups and the paired t test and one-way ANOVA analysis for intra-group differences. These analyses were performed using STATISTICA® 5.0 for Windows (StatSoft Inc., Tulsa, USA). Differences were considered statistically significant when p<0.05.The associations between variables related to spirometry and within-breath respiratory impedance tests were investigated using Pearson's correlation coefficient for the entire group of studied subjects. These tests were carried out using Origin® 6.0 (Microcal Software, MA, USA).The clinical potential of using FOT indices for the detection of respiratory alterations in patients with COPD was evaluated with receiver operating characteristic (ROC) analyses, which were conducted using MedCalc® 8.2 (Medicalc Software Mariakerke, Belgium).RESULTSA total of 48 subjects completed the evaluation protocol; of these subjects, 39 had technically satisfactory measurements. Four patients with COPD (17% of the original COPD group) and five controls (20% of the total control group) produced unsatisfactory measurements due to irregular breathing changes during FOT measurements. The anthropometric and spirometric characteristics of the studied subjects are summarized in <a class="elsevierStyleCrossRef" href="#tbl1">Table 1</a>. Body weight and BMI values were significantly smaller in the COPD group as compared to the control group (p<0.001) while age and height were similar between these groups. As shown in <a class="elsevierStyleCrossRef" href="#tbl1">Table 1</a>, patients with COPD exhibited significant reductions in all of the studied spirometric parameters (p<0.03).<elsevierMultimedia ident="tbl1"></elsevierMultimedia><a class="elsevierStyleCrossRef" href="#tbl2">Table 2</a> shows the results obtained from evaluation of respiratory system impedance during the respiratory cycle of patients with COPD as compared to controls. The respiratory impedances were always significantly higher in COPD patients than in the control group (Zm, Zbi, Zi, Zbe and Ze; p<0.001). Similar comparisons revealed that Zpp (p<0.001) and ΔZrs (p<0.005) were significantly increased in patients with COPD.<elsevierMultimedia ident="tbl2"></elsevierMultimedia>Comparisons of the different respiratory cycle phases in COPD and healthy subjects are shown in <a class="elsevierStyleCrossRef" href="#fig1">Figure 1</a>. The respiratory impedance did not change significantly during the respiratory cycle in the control group (ANOVA, p = ns). Conversely, the Zrs were significantly increased in the COPD group when the cycle from the beginning of the inspiratory phase to the end of the expiratory phase was considered (ANOVA, p<0.005). <a class="elsevierStyleCrossRef" href="#fig1">Figure 1</a> also shows that Ze was significantly higher than Zi (p<0.001) and Zbe was significantly higher than Zbi (p<0.001) in patients with COPD.<elsevierMultimedia ident="fig1"></elsevierMultimedia>The associations between FOT and spirometric parameters are described in <a class="elsevierStyleCrossRef" href="#tbl3">Table 3</a>. Zm, Zi, Ze, Zbi and Zbe values presented statistically significant inverse correlations with all spirometric parameters. Similar behavior was observed for Zpp and ΔZrs, but Zpp was not associated with FVC (L) and ΔZrs was not associated with FVC (%). When the correlation coefficients are compared, Zm, Zi, Ze, Zbe and Zpp were observed to have a higher association with FEV1 (%),Zbi was more associated with FEF25-75% and ΔZrs was more closely associated with FEV1 (L).<elsevierMultimedia ident="tbl3"></elsevierMultimedia><a class="elsevierStyleCrossRef" href="#tbl4">Table 4</a> summarizes the results for the evaluation of the clinical potential of the studied indices. Six of the seven studied parameters presented AUC ≥ 0.9.<elsevierMultimedia ident="tbl4"></elsevierMultimedia>DISCUSSIONIn this study, we observed that severe COPD may be identified by the increase in within-breath respiratory system impedance. Our data suggested that this is more evident in the expiratory phase, and confirms the clinical potential of within-breath impedance analysis for the diagnosis of respiratory modifications related to COPD.Twenty percent of the initial control group and 17% of the initial group of patients with COPD were excluded from the study due to inadequate FOT measurements. This percentile values may be associated with a characteristic of this sample of volunteers, because these volunteers do not presented experience with FOT. Individuals comprising the group of patients with COPD had body mass and BMI values that were smaller than those in the control group (<a class="elsevierStyleCrossRef" href="#tbl1">Table 1</a>). This difference is likely due to the clinical condition of these patients, who suffer from advanced COPD. The alterations in routine lung function parameters in COPD patients were consistent with the presence of severe airway obstruction,<a class="elsevierStyleCrossRefs" href="#bib1">1,32</a> leading to decreased spirometric results (<a class="elsevierStyleCrossRef" href="#tbl1">Table 1</a>). An FEV1/FVC ratio below 70% indicates the presence of airflow obstruction,<a class="elsevierStyleCrossRefs" href="#bib1">1,32</a> while an FEV1(%) below 50% indicates the presence of severe obstructive ventilatory insufficiency,<a class="elsevierStyleCrossRefs" href="#bib1">1,33</a> The FVC was reduced in these patients, indicating the presence of a predominantly obstructive process with probable pulmonary hyperinsuflation.<a class="elsevierStyleCrossRef" href="#bib34">34</a>In this study, we evaluated the respiratory system impedance module, which is associated with the resistive and reactive properties of the entire respiratory system, including the lung and chest wall.<a class="elsevierStyleCrossRefs" href="#bib4">4–6</a> COPD is characterized by the presence of airway wall inflammation, and the consequent reduction in bronchial and bronchiolar quality, as well as mucus hypersecretion, results in airway obstruction.<a class="elsevierStyleCrossRefs" href="#bib1">1,7</a> These factors, alone or associated, are responsible for increased airway resistance. In addition to the increased resistance observed in COPD, a decrease in dynamic compliance is also present. This decrease may be explained using the concept of a “choke point”, introduced by Dellacà et al.,<a class="elsevierStyleCrossRef" href="#bib13">13</a> and describes the difficulty that the oscillatory signals emitted by the FOT encounter when crossing segments of the bronchial tree; this difficulty is associated with increased small airway resistance.<a class="elsevierStyleCrossRef" href="#bib35">35</a> This event induces a fall in the dynamic compliance and a consequent increase in the impedance module. Consistent with this theory, all of the analyzed parameters were significantly increased in COPD subjects (<a class="elsevierStyleCrossRef" href="#tbl2">Table 2</a>). The observed changes in Zm describe the increase in respiratory work associated with the previously mentioned changes.In a previous study, Clement et al.<a class="elsevierStyleCrossRef" href="#bib36">36</a> investigated the behavior of Rrs and Xrs in individuals with and without airway obstruction. These authors associated higher values of Rrs and Xrs with increased degrees of airway obstruction, findings that were associated with the pathophysiological progression of COPD. Van Noord et al.<a class="elsevierStyleCrossRef" href="#bib37">37</a> evaluated the respiratory system resistance of 125 individuals with severe airway obstruction using the FOT at 6 Hz. The authors observed increased resistance values in patients with COPD as compared to healthy subjects. The increase in Rrs due to COPD was also demonstrated by Zerah et al.,<a class="elsevierStyleCrossRef" href="#bib9">9</a> who studied the effect of a bronchodilator using multifrequency FOT. According to these authors, this resistance pattern, which is consistent with the lower FEV1 values identified in this population, is associated with the presence of airway obstruction and consequent non-homogeneous lung capacity. The study conducted by Farré et al.<a class="elsevierStyleCrossRef" href="#bib38">38</a> evaluated respiratory impedance in mechanically ventilated COPD patients. Rrs and Xrs curves showed that resistance values increased and that reactance values were more negative, which are consistent with our results (<a class="elsevierStyleCrossRef" href="#tbl2">Table 2</a>, <a class="elsevierStyleCrossRef" href="#fig1">Figure 1</a>). By analyzing the mechanical changes in the respiratory system resulting from increased levels of airway obstruction in COPD, Di Mango et al.<a class="elsevierStyleCrossRef" href="#bib7">7</a> also found that resistance values were increased and that reactance values were more negative. Other characteristics may contribute to the presence of higher Zm values, such as reductions in the homogeneity of the lung time constants.<a class="elsevierStyleCrossRefs" href="#bib7">7,13,27,39</a> Based on equation (1), the increase in Zm observed in our study (<a class="elsevierStyleCrossRef" href="#tbl2">Table 2</a>) as well as the significant inverse correlations between Zm and spirometric parameters (<a class="elsevierStyleCrossRef" href="#tbl3">Table 3</a>) are consistent with these previously published results<a class="elsevierStyleCrossRefs" href="#bib23">23,24,39</a> and physiological aspects of COPD.<a class="elsevierStyleCrossRefs" href="#bib1">1,35</a>In the present study, subjects with COPD exhibited higher impedance in all phases of the ventilatory cycle when compared to control subjects (<a class="elsevierStyleCrossRef" href="#tbl2">Table 2</a>; <a class="elsevierStyleCrossRef" href="#fig1">Figure 1</a>). The advanced stage of COPD observed in our patients is associated with peribronchial fibrosis and consequent airway tissue remodeling. Thus, this reduced airway compliance may introduce more negative Xrs, contributing to higher Zrs (equation (1)). Higher values of inspiratory and expiratory impedances were also observed by Cavalcanti et al.<a class="elsevierStyleCrossRef" href="#bib21">21</a> in their comparison between asthmatic and healthy subjects using methodology similar to that used in this paper. One possible contributing factor for these results is the recruitment of accessory muscles in COPD subjects due to impaired diaphragmatic mechanics. In COPD, the change in the tidal volume operating point favors lung hyperinflation, reducing the efficiency of the diaphragm as a pump and inducing the use of accessory muscles. Because respiratory impedance measurements include the influence of the chest wall, we believe that abnormal accessory muscle contraction during inspiration may contribute to the increased Zi in our patients.The Zrs values observed throughout the respiratory cycle were similar in both groups (<a class="elsevierStyleCrossRef" href="#fig1">Figure 1</a>); Zrs values increased from the beginning of inspiration to expiration. Paredi et al.<a class="elsevierStyleCrossRef" href="#bib22">22</a> observed only minimal changes in Rrs and Xrs values between inspiration and expiration in normal individuals. Consistent with these results, we observed only non-significant changes in Zrs in healthy subjects (<a class="elsevierStyleCrossRef" href="#fig1">Figure 1</a>). However, patients with COPD showed significant changes in Zrs among the phases of the respiratory cycle (<a class="elsevierStyleCrossRef" href="#fig1">Figure 1</a>; p<0.005). Consistent with the results obtained by Dellacà et al.<a class="elsevierStyleCrossRef" href="#bib13">13</a> and Johnson et al.,<a class="elsevierStyleCrossRef" href="#bib15">15</a> Zrs values were higher during expiration than inspiration in patients with COPD.Analysis of Zrs during expiration has been used to establish the presence of expiratory flow limitation (EFL).<a class="elsevierStyleCrossRefs" href="#bib13">13,15</a> During EFL events, increased Zrs values are observed. In this context, Zbe and Ze are expected to be higher than Zbi and Zi in patients with COPD. The results described in <a class="elsevierStyleCrossRef" href="#fig1">Figure 1</a> indicate that EFL may be a significant component affecting respiratory impedance in the studied subjects.Using an impulse oscillation system, Paredi et al.<a class="elsevierStyleCrossRef" href="#bib22">22</a> investigated whether oscillometric indices differ between patients with asthma and patients with COPD. Consistent with the results of the present work, these authors observed that expiratory reactances at 5 Hz were significantly less than inspiratory reactances in patients with COPD. These results are also consistent with those recently described by Kubota et al.<a class="elsevierStyleCrossRef" href="#bib23">23</a> and Kanda et al.<a class="elsevierStyleCrossRef" href="#bib24">24</a>The control subjects exhibited minimal variations in ΔZrs and Zpp (<a class="elsevierStyleCrossRef" href="#tbl2">Table 2</a>, <a class="elsevierStyleCrossRef" href="#fig1">Figure 1</a>), which are consistent with previous studies.<a class="elsevierStyleCrossRefs" href="#bib13">13–15,24</a> Conversely, <a class="elsevierStyleCrossRef" href="#tbl2">Table 2</a> shows that COPD subjects experienced significant increases in ΔZrs and Zpp. Previous authors have also observed more substantial expiratory-inspiratory differences in patients with COPD than in healthy subjects.<a class="elsevierStyleCrossRefs" href="#bib22">22–24</a>In our understanding as well as that of other authors,<a class="elsevierStyleCrossRefs" href="#bib40">40,41</a> the behavior of Zrs throughout the respiratory cycle in patients with COPD is a controversial topic with several unclear components of the pathophysiology. Further studies are needed to improve our understanding, e.g., concerning the effects of a process dominated by emphysema (elastic changes) or chronic bronchitis (obstructive changes).Zm, Zi, Ze, Zbi and Zbe were significantly and inversely associated with FEV1 and FVC (<a class="elsevierStyleCrossRef" href="#tbl3">Table 3</a>), which link these impedance parameters with airway obstruction and pulmonary volume reductions. Notably, the highest coefficient of determination was observed between FEV1 (%) and Zbe, whereas weaker associations were observed when Zpp and ΔZrs were considered.Johnson and colleagues<a class="elsevierStyleCrossRef" href="#bib39">39</a> compared Rrs and Xrs at 5 Hz with pulmonary resistance (RL), as assessed by the use of an esophageal balloon. Their results indicated that these parameters can be used as predictors of RL. In this case, the greatest advantage of FOT from the perspective of clinical application lies in the fact that the evaluation of Rrs and Xrs by FOT does not involve the use of an invasive procedure, which is necessary for the evaluation of RL with an esophageal balloon. These authors highlighted the strong potential of this approach for scientific and clinical application of real-time assessment of Rrs and Xrs and suggested that the clinical use of these parameters should be systematically evaluated.<a class="elsevierStyleCrossRef" href="#bib39">39</a>To contribute in this direction, ROC curves were elaborated. According to the literature, ROC curves with AUCs between 0.50 and 0.70 indicate low diagnostic accuracy, AUCs between 0.70 and 0.90 indicate moderate diagnostic accuracy, and AUCs between 0.90 and 1.00 indicate high diagnostic accuracy.<a class="elsevierStyleCrossRefs" href="#bib42">42,43</a> An AUC>0.80 is usually considered to be adequate for clinical use.<a class="elsevierStyleCrossRefs" href="#bib42">42,43</a> Thus, AUC values for Zm, Zi, Ze, Zbi, Zbe and Zpp represented highly accurate measurements (<a class="elsevierStyleCrossRef" href="#tbl4">Table 4</a>). However, ΔZrs values do not attain adequate values for clinical use. Under these conditions, Ze was the most suitable for correctly identifying the effects of COPD, with a sensitivity of 100% and a specificity of 90%. These promising results are consistent with those obtained previously<a class="elsevierStyleCrossRefs" href="#bib21">21,44</a> and suggest that the Zrs observed in different phases of the respiratory cycle may be useful in the detection of COPD.When the results of the present study are compared with those obtained in a previous study our group conducted in asthmatic subjects,<a class="elsevierStyleCrossRef" href="#bib21">21</a> both studies were found to provide similar results with AUCs above 0.9, indicating high diagnostic accuracy. The AUC values determined in these studies are superior to those obtained in previous studies using multifrequency FOT that were performed in patients with COPD<a class="elsevierStyleCrossRef" href="#bib45">45</a> (maximum AUCs of 0.85), in asthmatic patients<a class="elsevierStyleCrossRef" href="#bib27">27</a> (maximum AUCs of 0.88), and in patients with sarcoidosis<a class="elsevierStyleCrossRef" href="#bib28">28</a> (maximum AUCs of 0.84). Thus, our results confirm the hypothesis that monofrequency FOT can attain higher diagnostic accuracy than its corresponding multifrequency counterpart.<a class="elsevierStyleCrossRef" href="#bib21">21</a>There are three potential limitations in the present study. First, it is important to note that the description of sensitivity, specificity and accuracy is dependent on the population studied, and that the present work was conducted in patients with severe airway obstruction. Studies in patients with mild and moderate airflow obstruction are still necessary to confirm this hypothesis.The second possible limitation is that the reproducibility of the FOT measures was not evaluated in our patients with COPD. Dellacà et al.<a class="elsevierStyleCrossRef" href="#bib46">46</a> recently evaluated the reproducibility of within breath respiratory resistance during home monitoring. These authors showed a discrepancy of resistance of 0.10±0.01 cmH2O/L/s in COPD patients, and pointed out that FOT yields accurate and reproducible data in COPD patients. Therefore, the lack of reproducibility evaluation probably is not a problem in the present study.The third possible limitation is that, in order to evaluate the contribution of the MnFOT in the diagnosis of COPD, we performed a study using spirometry as a reference. One could argue that a comparison between these methods would also be useful. In fact, our research group recently performed this comparison in groups of smokers with very interesting results. FOT parameters were more accurate than spirometric indices to identify small alterations due to smoking,<a class="elsevierStyleCrossRefs" href="#bib44">44,47</a> while in patients with higher tobacco consumption, the diagnostic performance of the FOT was similar to that observed in spirometry.<a class="elsevierStyleCrossRef" href="#bib44">44</a> These studies were conducted using multifrequency FOT. However, in the present paper, the spirometry is used as a reference technique, and therefore we cannot make a direct comparison between spirometry and FOT. In the previously cited papers,<a class="elsevierStyleCrossRefs" href="#bib44">44,47</a> we compared these two techniques using the amount of tobacco consumption (pack-years) as a reference. Thus, although it is a really intriguing question, we cannot evaluate it in the present paper.Individuals with COPD and severe airway obstruction present respiratory impedances higher than those observed in healthy individuals in all phases of the respiratory cycle. Thus, the impedance changes observed in individuals with COPD reflect the high mechanical load imposed on the respiratory system of these patients, and these changes are consistent with the pathophysiology of the disease. These patients experience higher impedances in the expiratory phase than in the inspiratory phase, indicating that expiratory flow limitation may play a significant role in severe COPD. Several of the studied parameters demonstrated high accuracy for the diagnosis of COPD. These results indicate that the evaluation of respiratory impedance in different phases of the respiratory cycle may be a promising clinical diagnostic tool, representing an alternative and/or complementary technique to other conventional exams used to clinically evaluate patients with COPD." "textoCompletoSecciones" => array:1 [ "secciones" => array:6 [ 0 => array:2 [ "identificador" => "xpalclavsec1582408" "titulo" => "KEYWORDS" ] 1 => array:2 [ "identificador" => "cesec10" "titulo" => "INTRODUCTION" ] 2 => array:3 [ "identificador" => "cesec20" "titulo" => "MATERIALS AND METHODS" "secciones" => array:6 [ 0 => array:2 [ "identificador" => "cesec30" "titulo" => "Study design and ethical considerations" ] 1 => array:2 [ "identificador" => "cesec40" "titulo" => "Subjects" ] 2 => array:2 [ "identificador" => "cesec50" "titulo" => "Study protocol" ] 3 => array:2 [ "identificador" => "cesec60" "titulo" => "Within-breath respiratory impedance measurements" ] 4 => array:2 [ "identificador" => "cesec70" "titulo" => "Spirometry" ] 5 => array:2 [ "identificador" => "cesec80" "titulo" => "Sample size and statistical analysis" ] ] ] 3 => array:2 [ "identificador" => "cesec90" "titulo" => "RESULTS" ] 4 => array:2 [ "identificador" => "cesec100" "titulo" => "DISCUSSION" ] 5 => array:1 [ "titulo" => "REFERENCES" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2011-07-05" "fechaAceptado" => "2011-08-31" "PalabrasClave" => array:1 [ "en" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "KEYWORDS" "identificador" => "xpalclavsec1582408" "palabras" => array:5 [ 0 => "COPD" 1 => "Within-breath analyses" 2 => "Forced oscillation technique" 3 => "Diagnostic" 4 => "Respiratory diseases" ] ] ] ] "tieneResumen" => true "resumen" => array:1 [ "en" => array:2 [ "resumen" => "OBJECTIVES:Several studies have confirmed the high potential of the forced oscillation technique for the assessment of respiratory modifications related to chronic obstructive pulmonary disease. However, most of these studies did not employ within-breath analyses of the respiratory system. The aim of this study is to analyze respiratory impedance alterations in different phases of the respiratory cycle of chronic obstructive pulmonary disease patients and to evaluate their clinical use. METHODS:39 individuals were evaluated, including 20 controls and 19 individuals with chronic obstructive pulmonary disease who experienced severe airway obstruction. We evaluated the mean respiratory impedance (Zm) as well as values for inspiration (Zi) and expiration cycles (Ze), at the beginning of inspiration (Zbi) and expiration (Zbe). The peak-to-peak impedance (Zpp), and the impedance change (ΔZrs) were also analyzed. The clinical usefulness was evaluated by investigating the sensibility, specificity and the area under the receiver operating characteristic curve. RESULTS:The respiratory impedance increased in individuals with chronic obstructive pulmonary disease in all of the studied parameters (Zm, Zi, Ze, Zbi, Zbe, ΔZrs and Zpp). These changes were inversely associated with spirometric parameters. Higher impedances were observed in the expiratory phase of individuals with chronic obstructive pulmonary disease. All of the studied parameters, except for ΔZrs (area under the receiver operating characteristic <0.8), exhibited high accuracy for clinical use (area under the receiver operating characteristic >0.90; Sensibility ≥ 0.85; Sp ≥ 0.85). CONCLUSIONS:The respiratory alterations in severe chronic obstructive pulmonary disease may be identified by the increase in respiratory system impedance, which is more evident in the expiratory phase. These results confirm the potential of within-breath analysis of respiratory impedance for the assessment of respiratory modifications related to chronic obstructive pulmonary disease." "secciones" => array:4 [ 0 => array:2 [ "identificador" => "ceabs10" "titulo" => "OBJECTIVES:" ] 1 => array:2 [ "identificador" => "ceabs20" "titulo" => "METHODS:" ] 2 => array:2 [ "identificador" => "ceabs30" "titulo" => "RESULTS:" ] 3 => array:2 [ "identificador" => "ceabs40" "titulo" => "CONCLUSIONS:" ] ] ] ] "NotaPie" => array:1 [ 0 => array:1 [ "nota" => "No potential conflict of interest was reported. Silva KKD conducted the measurements for this study, analyzed the data, and drafted the manuscript. Lopes AJ provided data and subject identification. Jansen JM, mentored Silva KKD and participated in data analysis process. Melo PL mentored Silva KKD organized the study and helped to draft the manuscript. All authors have read and approved this manuscript." ] ] "multimedia" => array:6 [ 0 => array:7 [ "identificador" => "fig1" "etiqueta" => "Figure 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 389 "Ancho" => 498 "Tamanyo" => 24603 ] ] "descripcion" => array:1 [ "en" => "Mean Zrs values during the ventilatory cycle in COPD (red lines) and healthy subjects (blue lines)." ] ] 1 => array:7 [ "identificador" => "tbl1" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:2 [ "leyenda" => "COPD: Chronic Obstructive Pulmonary Disease; n: number of subjects; ns: non-significant;BMI: body mass index; FEV1: forced expiratory volume in one second; FVC: forced vital capacity; FEF: forced expiratory flow; %: percentage of the predicted value." "tablatextoimagen" => array:1 [ 0 => array:1 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="center" valign="top" scope="col">COPD (n = 19) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="center" valign="top" scope="col">Control (n = 20) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="center" valign="top" scope="col">p-value \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">M/F \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">14/05 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">07/13 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">- \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">Age (years) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">71.3±8.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">68.3±8.3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">ns \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">Weight (kg) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">56.8±10.4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">73.5±12.3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">Height (m) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">1.60±0.10 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">1.63±0.08 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">ns \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">BMI (kg/m2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">21.90±3.50 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">27.79±4.4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">FVC (L) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">2.38±0.8 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">2.89±0.61 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.03 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">FVC (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">76.6±21.8 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">94.4±15.42 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.005 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">FEV1 (L) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.84±0.28 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">2.33±0.59 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.0001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">FEV1 (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">36.5±11.0 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">97.4±14.64 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.0001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">FEV1/FVC \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">37.3±9.0 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">80.25±6.23 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.0001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">FEF/FVC \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">12.7±6.7 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">78.09±22.23 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.0001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">FEF25-75 (L) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.28±0.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">2.31±0.94 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.0001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top" style="border-bottom: 2px solid black">FEF25-75 (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top" style="border-bottom: 2px solid black">12.2±5.2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top" style="border-bottom: 2px solid black">97.25±28.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top" style="border-bottom: 2px solid black">0.0001 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] ] ] ] "descripcion" => array:1 [ "en" => "Biometric and spirometric characteristics of the studied subjects." ] ] 2 => array:7 [ "identificador" => "tbl2" "etiqueta" => "Table 2" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:2 [ "leyenda" => "Zm – Mean impedance of the respiratory system; Zi – inspiratory impedance; Ze – expiratory impedance; Zbi – impedance at the beginning of inspiration; Zbe – impedance at the beginning of expiration. Zpp – peak-to-peak variation of the impedance; ΔZrs – variation of the mean impedance." "tablatextoimagen" => array:1 [ 0 => array:1 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="center" valign="top" scope="col">COPD \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="center" valign="top" scope="col">Control \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="center" valign="top" scope="col">p-value \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">Zm (cmH2O\L\s) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">10.0±2.8 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">4.6±1.2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">Zi (cmH2O\L\s) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">9.0±2.5 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">4.4±1.2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">Ze (cmH2O\L\s) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">10.5±3.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">4.7±1.3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">Zbi (cmH2O\L\s) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">8.1±2.0 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">4.3±1.3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">Zbe (cmH2O\L\s) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">11.0±3.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">4.8±1.3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">Zpp (cmH2O\L\s) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">2.93±2.02 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.50±0.74 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top" style="border-bottom: 2px solid black">ΔZrs (cmH2O\L\s) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top" style="border-bottom: 2px solid black">1.49±1.65 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top" style="border-bottom: 2px solid black">0.27±0.57 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top" style="border-bottom: 2px solid black">0.005 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] ] ] ] "descripcion" => array:1 [ "en" => "Comparative analysis between COPD and control subjects considering the impedance in different phases of the ventilatory cycle." ] ] 3 => array:7 [ "identificador" => "tbl3" "etiqueta" => "Table 3" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:2 [ "leyenda" => "Values are presented as mean and confidence interval (95%); Zm – mean impedance of the respiratory system; Zi – inspiratory impedance; Ze – expiratory impedance; Zbi – impedance at the beginning of inspiration; Zbe – impedance at the beginning of expiration. Zpp – peak-to-peak variation of the impedance; ΔZrs – variation of the mean impedance." "tablatextoimagen" => array:1 [ 0 => array:1 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="center" valign="top" scope="col">AUC \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="center" valign="top" scope="col">Se (%) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="center" valign="top" scope="col">Sp (%) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="center" valign="top" scope="col">Cut-off \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">Zm (cmH2O/L/s) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.974(0.86-1.00) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">94.7(73.9-99.1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">95.0(75.1-99.2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">6.2 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">Zi (cmH2O/L/s) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.963(0.85-0.99) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">94.7(73.9-99.1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">90.0(68.3-98.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">5.6 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">Ze (cmH2O/L/s) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.976(0.87-1.00) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">100.0(82.2-100.0) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">90.0(68.3-98.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">5.7 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">Zbi (cmH2O/L/s) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.958(0.84-0.99) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">94.7(73.9-99.1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">90.0(68.3-98.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">5.4 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">Zbe (cmH2O/L/s) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.971(0.86-1.00) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">94.7(73.9-99.1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">95(75.1-99.2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">6.2 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">Zpp (cmH2O/L/s) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.903(0.76-0.97) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">89,5(66.8-98.4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">85(62.1-96.6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">1.3 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top" style="border-bottom: 2px solid black">ΔZrs (cmH2O/L/s) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top" style="border-bottom: 2px solid black">0.766(0.60-0.89) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top" style="border-bottom: 2px solid black">78.9(45.7-88.0) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top" style="border-bottom: 2px solid black">78.9(54.4-93.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top" style="border-bottom: 2px solid black">0.37 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] ] ] ] "descripcion" => array:1 [ "en" => "Area under the curve (AUC), sensitivity (Se), specificity (Sp) and cut-off point of the Forced Oscillation parameters." ] ] 4 => array:7 [ "identificador" => "tbl4" "etiqueta" => "Table 4" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:1 [ "tablatextoimagen" => array:1 [ 0 => array:1 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="center" valign="top" scope="col">Zm(cmH2O/L/s) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="center" valign="top" scope="col">Zi(cmH2O/L/s) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="center" valign="top" scope="col">Ze(cmH2O/L/s) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="center" valign="top" scope="col">Zbi(cmH2O/L/s) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="center" valign="top" scope="col">Zbe(cmH2O/L/s) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="center" valign="top" scope="col">Zpp(cmH2O/L/s) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="center" valign="top" scope="col">ΔZrs(cmH2O/L/s) \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">FVC (L) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">r -0.57 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">-0.53 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">-0.57 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">-0.56 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">-0.48 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">-0.25 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">-0.40 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">p 0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.002 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.02 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">FVC (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">r -0.59 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">-0.59 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">-0.56 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">-0.55 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">-0.54 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">-0.38 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">-0.20 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">p 0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.02 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.2 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">FEV1 (L) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">r -0.77 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">-0.74 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">-0.77 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">-0.75 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">-0.76 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">-0.56 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">-0.50 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">p 0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.002 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">FEV1 (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">r -0.79 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">-0.78 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">-0.78 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.75 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">-0.80 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">-0.63 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">-0.40 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">p 0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.02 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">FEV1/FVC \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">r -0.71 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">-0.69 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">-0.71 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">-0.69 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">-0.74 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">-0.60 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">-0.40 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">p 0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.02 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">FEF/FVC \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">r -0.74 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">-0.72 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">-0.75 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">-0.74 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">-0.76 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">-0.57 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">-0.46 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">p 0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.004 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">FEF25-75 (L) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">r -0.73 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">-0.70 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">-0.74 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">-0.72 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">-0.74 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">-0.54 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">-0.46 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">p 0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">0.004 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">FEF25-75 (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">r -0.78 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">-0.76 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">-0.77 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">-0.76 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">-0.78 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">-0.60 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top">-0.40 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top" style="border-bottom: 2px solid black">p 0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top" style="border-bottom: 2px solid black">0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top" style="border-bottom: 2px solid black">0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top" style="border-bottom: 2px solid black">0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top" style="border-bottom: 2px solid black">0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top" style="border-bottom: 2px solid black">0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="top" style="border-bottom: 2px solid black">0.01 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] ] ] ] "descripcion" => array:1 [ "en" => "Pearson correlation coefficient (r), and p-value (p) between FOT and spirometry." ] ] 5 => array:5 [ "identificador" => "f10" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => false "mostrarDisplay" => true "figura" => array:1 [ 0 => array:4 [ "imagen" => "eq1.jpeg" "Alto" => 90 "Ancho" => 623 "Tamanyo" => 10164 ] ] ] ] "bibliografia" => array:2 [ "titulo" => "REFERENCES" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "cebibsec10" "bibliografiaReferencia" => array:47 [ 0 => array:3 [ "identificador" => "bib1" "etiqueta" => "1" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "“Global Strategy for the Diagnosis, Management, and prevention of Chronic Obstrutive Pulmonary Disease.”. NHLBI/WHO," "autores" => array:1 [ 0 => array:2 [ "colaboracion" => "GOLD - Global Initiative For Chronic Obstructive Lung Disease – UPDATE (2007)" "etal" => false ] ] ] ] "host" => array:1 [ 0 => array:1 [ "WWW" => array:1 [ "link" => "http://www.goldcopd.com" ] ] ] ] ] ] 1 => array:3 [ "identificador" => "bib2" "etiqueta" => "2" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Chronic respiratory diseases. 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"identificador" => "bib4" "etiqueta" => "4" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Forced oscillation technique: from theory to clinical applications" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:2 [ 0 => """ D Navajas \n \t\t\t\t\t\t\t\t """ 1 => """ R Farré \n \t\t\t\t\t\t\t\t """ ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:5 [ "tituloSerie" => "Monaldi Arch Ches Dis" "fecha" => "2001" "volumen" => "56" "paginaInicial" => "555" "paginaFinal" => "562" ] ] ] ] ] ] 4 => array:3 [ "identificador" => "bib5" "etiqueta" => "5" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "The Forced Oscillation Technique in clinical practice: methodology, recommendations and future developments" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => """ E Oostven \n \t\t\t\t\t\t\t\t """ 1 => """ D MacLeod \n \t\t\t\t\t\t\t\t """ 2 => """ H Lorino \n \t\t\t\t\t\t\t\t """ 3 => """ R Farré \n \t\t\t\t\t\t\t\t """ 4 => """ Z Hantos \n \t\t\t\t\t\t\t\t """ 5 => """ K Desager \n \t\t\t\t\t\t\t\t """ ] ] ] ] ] "host" => array:2 [ 0 => array:1 [ "Revista" => array:5 [ "tituloSerie" => "Eur Resp J" "fecha" => "2003" "volumen" => "22" "paginaInicial" => "1026" "paginaFinal" => "1041" ] ] 1 => array:1 [ "WWW" => array:1 [ "link" => "10.1183/09031936.03.00089403" ] ] ] ] ] ] 5 => array:3 [ "identificador" => "bib6" "etiqueta" => "6" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Avaliação de mecânica ventilatória por oscilações forçadas: fundamentos e aplicações clínicas" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:3 [ 0 => """ PL Melo \n \t\t\t\t\t\t\t\t """ 1 => """ MM Werneck \n \t\t\t\t\t\t\t\t """ 2 => """ A Giannela-Neto \n \t\t\t\t\t\t\t\t """ ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:5 [ "tituloSerie" => "J Pneumol" "fecha" => "2000" "volumen" => "26" "paginaInicial" => "194" "paginaFinal" => "206" ] ] ] ] ] ] 6 => array:3 [ "identificador" => "bib7" "etiqueta" => "7" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Changes in respiratory mechanics with increasing degree of airway obstruction in COPD: Detection by forced oscillation technique" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:4 [ 0 => """ AMTG Di Mango \n \t\t\t\t\t\t\t\t """ 1 => """ AJ Lopes \n \t\t\t\t\t\t\t\t """ 2 => """ JM Jansen \n \t\t\t\t\t\t\t\t """ 3 => """ PL Melo \n \t\t\t\t\t\t\t\t """ ] ] ] ] ] "host" => array:2 [ 0 => array:1 [ "Revista" => array:5 [ "tituloSerie" => "Resp Méd" "fecha" => "2006" "volumen" => "100" "paginaInicial" => "399" "paginaFinal" => "410" ] ] 1 => array:1 [ "WWW" => array:1 [ "link" => "10.1016/j.rmed.2005.07.005" ] ] ] ] ] ] 7 => array:3 [ "identificador" => "bib8" "etiqueta" => "8" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Assessment of respiratory mechanical properties with constant-phase models in healthy and COPD lungs" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:3 [ 0 => """ C Ionescu \n \t\t\t\t\t\t\t\t """ 1 => """ E Derom \n \t\t\t\t\t\t\t\t """ 2 => """ R De Keyser \n \t\t\t\t\t\t\t\t """ ] ] ] ] ] "host" => array:2 [ 0 => array:2 [ "doi" => "10.1016/j.cmpb.2009.06.006" "Revista" => array:6 [ "tituloSerie" => "Comput Methods Programs Biomed" "fecha" => "2010" "volumen" => "97" "paginaInicial" => "78" "paginaFinal" => "85" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/19628290" "web" => "Medline" ] ] ] ] 1 => array:2 [ "doi" => "10.1016/j.cmpb.2009.06.006" "WWW" => array:1 [ "link" => "10.1016/j.cmpb.2009.06.006" ] ] ] ] ] ] 8 => array:3 [ "identificador" => "bib9" "etiqueta" => "9" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ 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CLINICAL SCIENCE

Karla Kristine Dames SilvaI, Agnaldo José LopesII, José Manoel JansenII, Pedro Lopes de MeloI,III,

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plopes@uerj.br

Tel.: 55 021 2334-0705

I State University of Rio de Janeiro, Faculty of Engineering, Institute of Biology, Biomedical Instrumentation Laboratory, Rio de Janeiro/RJ, Brazil.

II State University of Rio de Janeiro, Faculty of Medical Sciences, Pulmonary Function Laboratory, Rio de Janeiro/RJ, Brazil.

III State University of Rio de Janeiro, Institute of Biology, BioVasc Research Laboratory, Rio de Janeiro/RJ, Brazil.

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          "en" => "<p id="spara10" class="elsevierStyleSimplePara elsevierViewall">Mean Zrs values during the ventilatory cycle in COPD &#40;red lines&#41; and healthy subjects &#40;blue lines&#41;&#46;</p>"
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    "textoCompleto" => "<span class="elsevierStyleSections"><span id="cesec10" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle60">INTRODUCTION</span><p id="para10" class="elsevierStylePara elsevierViewall">Chronic obstructive pulmonary disease &#40;COPD&#41; is a major cause of morbidity and mortality worldwide&#46;<a class="elsevierStyleCrossRef" href="#bib1">1</a> According to World Health Organization estimates&#44; 80 million people have moderate to severe COPD&#44; and more than 3 million people died of COPD in 2005&#44; which corresponds to 5&#37; of all deaths globally&#46;<a class="elsevierStyleCrossRef" href="#bib2">2</a></p><p id="para20" class="elsevierStylePara elsevierViewall">The airway obstruction resulting from COPD is associated with a progressive increase in airflow limitation&#44;<a class="elsevierStyleCrossRef" href="#bib1">1</a> which is usually evaluated by spirometric tests&#46; However&#44; these tests require good cooperation and maximal effort by the subject&#46; Thus&#44; these tests may be unreliable and variable if sub-optimal maneuvers are performed&#46;<a class="elsevierStyleCrossRef" href="#bib3">3</a></p><p id="para30" class="elsevierStylePara elsevierViewall">Forced oscillation technique &#40;FOT&#41; offers a simple&#44; detailed approach for investigating the mechanical properties of the respiratory system&#46; In practice&#44; sinusoidal excitations are superimposed on the subject&#39;s spontaneous breathing at the airway opening by a loudspeaker&#44; requiring little patient cooperation&#46;<a class="elsevierStyleCrossRefs" href="#bib4">4&#8211;6</a> The resulting oscillations in air flow and pressure are recorded and used to estimate the mechanical impedance of the respiratory system&#46; These features make this technique potentially suitable for the routine evaluation of respiratory function in COPD&#46;<a class="elsevierStyleCrossRefs" href="#bib7">7&#8211;9</a></p><p id="para40" class="elsevierStylePara elsevierViewall">Studies using the FOT often use several excitation frequencies &#40;multifrequency FOT&#41; to obtain an average result from several breathing cycles&#46;<a class="elsevierStyleCrossRefs" href="#bib5">5&#8211;9</a> This approach does not allow a detailed&#44; individual analysis of the inspiratory and expiratory phases of the respiratory cycle&#46; Recently&#44; a version of the FOT that uses a single excitation frequency &#40;monofrequency FOT&#41; was developed&#44; and this technique allows within-breath analysis of respiratory mechanics&#46;<a class="elsevierStyleCrossRef" href="#bib10">10</a> For within-breath analysis&#44; the system evaluates&#44; in real time&#44; the module of the respiratory impedance &#40;Zrs&#41;&#44; which is associated with respiratory system resistance &#40;Rrs&#41; and reactance &#40;Xrs&#41; as described in equation 1&#58; <elsevierMultimedia ident="f10"></elsevierMultimedia></p><p id="para50" class="elsevierStylePara elsevierViewall">These measurements are related to the total mechanical load provided by the respiratory system&#46; This method has been successfully used to study the fast events associated with sleep apnea<a class="elsevierStyleCrossRefs" href="#bib10">10&#44;11</a> and swallowing&#46;<a class="elsevierStyleCrossRef" href="#bib12">12</a> Other research groups have obtained promising results using the monofrequency forced oscillation technique &#40;MnFOT&#41; for the detection of expiratory flow limitations in patients with COPD&#44;<a class="elsevierStyleCrossRefs" href="#bib13">13&#44;14</a> investigating physiological recovery from an exacerbation of COPD<a class="elsevierStyleCrossRef" href="#bib15">15</a> and analyzing responses to deep inhalation in asthmatic children<a class="elsevierStyleCrossRef" href="#bib16">16</a> and adults&#46;<a class="elsevierStyleCrossRef" href="#bib17">17</a> A detailed evaluation of the short-term variability of airway caliber in asthma was also recently accomplished using this technique&#46;<a class="elsevierStyleCrossRefs" href="#bib18">18&#44;19</a> Dellac&#225; et al&#46;<a class="elsevierStyleCrossRef" href="#bib20">20</a> recently used MnFOT to assess response to salbutamol in COPD patients&#44; and Veiga et al&#46;<a class="elsevierStyleCrossRef" href="#bib21">21</a> obtained promising results using this technique to investigate the pathophysiology of asthmatic patients in the diagnosis of this disease&#46; However&#44; there are limited data reported on the use of respiratory impedance in the analysis of different phases of the breathing cycle<a class="elsevierStyleCrossRefs" href="#bib22">22&#8211;24</a> and its use in the diagnosis of COPD&#46; The cited studies were based on an impulse oscillation system&#44; which has some differences from classical FOT&#44; including the data processing and the parameters used to interpret raw data&#46;</p><p id="para60" class="elsevierStylePara elsevierViewall">The objectives of the present study were the following&#58; &#40;1&#41; to compare the respiratory mechanics of normal individuals and those with COPD&#44; with an emphasis on the differences between phases of the respiratory cycle and &#40;2&#41; using spirometry as a reference technique&#44; to evaluate the ability of MnFOT in the clinical diagnosis of increased airway obstruction in patients with severe COPD&#46;</p></span><span id="cesec20" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle70">MATERIALS AND METHODS</span><span id="cesec30" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle80">Study design and ethical considerations</span><p id="para70" class="elsevierStylePara elsevierViewall">The present work is a controlled cross-sectional study that was developed at the State University of Rio de Janeiro&#46; The examinations included spirometry and FOT measurements&#46; These measurements were performed at the Biomedical Instrumentation Laboratory in the Institute of Biology in conjunction with the Pulmonary Function Laboratory at Pedro Ernesto University Hospital&#46; The Research Ethics Committee of this institution approved this study&#46; The objectives of the study were explained to all individuals&#44; and their written consent was obtained before their inclusion in the study&#46;</p></span><span id="cesec40" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle90">Subjects</span><p id="para80" class="elsevierStylePara elsevierViewall">This study involved volunteers with normal spirometric evaluations who never smoked and patients with COPD from our outpatient clinic&#46; Inclusion criteria for COPD individuals were the following&#58; older than 50 years&#44; being of either sex&#44; having a diagnosis of COPD according to the criteria of GOLD<a class="elsevierStyleCrossRef" href="#bib1">1</a> and the Brazilian Society of Pneumology and Tisiology&#44;<a class="elsevierStyleCrossRef" href="#bib25">25</a> and being classified as having accentuated obstructive lung disease according to Jansen&#46;<a class="elsevierStyleCrossRefs" href="#bib7">7&#44;26&#8211;28</a> The exclusion criteria were the following&#58; COPD exacerbation occurring less than 90 days previously&#44; the presence of other chronic lung diseases&#44; tuberculosis or pneumonia&#44; the presence of thoracic trauma or surgery&#44; respiratory infections occurring less than 30 days previously and the inability to perform examinations&#46;</p><p id="para90" class="elsevierStylePara elsevierViewall">The control group consisted of healthy volunteers of both sexes who were older than 50 years with no history of pulmonary disease&#44; cardiovascular disease or smoking&#46; The individuals selected for the control group had normal spirometry results<a class="elsevierStyleCrossRefs" href="#bib7">7&#44;26&#8211;28</a> and underwent a clinical examination to observe their general health and the absence of respiratory infections&#46; Baseline data&#44; including age&#44; sex&#44; and height&#44; were obtained from each patient at the time of the test procedures&#46;</p></span><span id="cesec50" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle100">Study protocol</span><p id="para100" class="elsevierStylePara elsevierViewall">The exams were previously scheduled by phone&#44; and the subjects were informed of the need to suspend the use of bronchodilators during the 12 hours that preceded the tests&#46; On the scheduled date&#44; the examination sequence was carried out as follows&#58; the evaluation of clinical history&#44; the collection of anthropometric measurements &#40;age&#44; body weight and height&#41; and risk factors associated with the disease&#44; testing FOT impedance&#44; and&#44; finally&#44; gathering spirometric measurements&#46;</p></span><span id="cesec60" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle110">Within-breath respiratory impedance measurements</span><p id="para110" class="elsevierStylePara elsevierViewall">The system used for respiratory impedance analysis was developed in our laboratory&#46; It is based on equipment described previously by our group for the study of respiratory disorders during sleep&#46;<a class="elsevierStyleCrossRefs" href="#bib10">10&#44;11</a> Briefly&#44; the instrument applies a single frequency &#40;5 Hz&#41;&#44; low pressure &#40;2&#46;0 cmH<span class="elsevierStyleInf">2</span>O&#41; sinusoidal signal to the subject&#39;s respiratory system&#44; which remains under spontaneous ventilation&#46; Pressure &#40;P&#41; and flow &#40;V&#180;&#39;&#41; transducers placed near the subject&#39;s mouth are used in the measurement of these variables&#46; The resulting signals are recorded by an analog signal processing circuit to perform calculations to obtain the Zrs &#40;Zrs &#61; P&#47;V&#180;&#39;&#41; in real time&#46; This variable is known as the impedance module and describes the total mechanical load of the respiratory system&#44; including the effects of resistance and reactance&#46;<a class="elsevierStyleCrossRefs" href="#bib11">11&#44;21</a> The instrument was calibrated by means of a reference mechanical load and&#44; after this&#44; measurement errors were &#60;0&#46;5&#37;&#46;<a class="elsevierStyleCrossRefs" href="#bib10">10&#44;11</a> The system program was developed in the LabView 8&#46;2 environment and permits the control of the beginning and end of the exam as well as the visualization of respiratory impedance alterations that occur during the phases of the breathing cycle&#46;<a class="elsevierStyleCrossRefs" href="#bib10">10&#44;11</a> This allows an easy evaluation of the reproducibility of a patient&#39;s impedance values during the tests&#46; We discarded distortions during the recording that were due to artifacts such as coughs or sneezes&#46; Whenever the impedance time series was not considered adequate&#44; the maneuver was not considered valid and was repeated&#46; When correct maneuvers could not be obtained&#44; the volunteers were excluded from the study&#46;</p><p id="para120" class="elsevierStylePara elsevierViewall">The mechanical alterations during different phases of the respiratory cycle were characterized using the following secondary parameters&#58;<ul class="elsevierStyleList" id="celist10"><li class="elsevierStyleListItem" id="celistitem10"><span class="elsevierStyleLabel">&#8226;</span><p id="para130" class="elsevierStylePara elsevierViewall">The mean respiratory impedance &#40;Zm&#41;&#44; calculated for the complete exam&#59;</p></li><li class="elsevierStyleListItem" id="celistitem20"><span class="elsevierStyleLabel">&#8226;</span><p id="para140" class="elsevierStylePara elsevierViewall">The mean impedance during the inspiration cycles &#40;Zi&#41;&#59;</p></li><li class="elsevierStyleListItem" id="celistitem30"><span class="elsevierStyleLabel">&#8226;</span><p id="para150" class="elsevierStylePara elsevierViewall">The mean impedance during the expiration cycles &#40;Ze&#41;&#59;</p></li><li class="elsevierStyleListItem" id="celistitem40"><span class="elsevierStyleLabel">&#8226;</span><p id="para160" class="elsevierStylePara elsevierViewall">The mean impedance at the beginning of inspiration &#40;Zbi&#41;&#59;</p></li><li class="elsevierStyleListItem" id="celistitem50"><span class="elsevierStyleLabel">&#8226;</span><p id="para170" class="elsevierStylePara elsevierViewall">The mean impedance at the beginning of expiration &#40;Zbe&#41;&#59;</p></li><li class="elsevierStyleListItem" id="celistitem60"><span class="elsevierStyleLabel">&#8226;</span><p id="para180" class="elsevierStylePara elsevierViewall">The peak-to-peak impedance &#40;Zpp&#41;&#44; the difference between Zbe and Zbi&#59;</p></li><li class="elsevierStyleListItem" id="celistitem70"><span class="elsevierStyleLabel">&#8226;</span><p id="para190" class="elsevierStylePara elsevierViewall">The mean change in the impedance &#40;&#916;Zrs&#41;&#44; the difference between Ze and Zi&#46;</p></li></ul></p></span><span id="cesec70" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle120">Spirometry</span><p id="para200" class="elsevierStylePara elsevierViewall">Spirometry tests were performed using a flow spirometer &#40;Micro Medical&#44; model MicroLoop&#44; SP&#44; Brazil&#41;&#46; The tests followed procedures recommended by the Brazilian Consensus on Spirometry<a class="elsevierStyleCrossRef" href="#bib29">29</a> and were performed by a trained technician&#44; as described by the Brazilian Thoracic Society&#46;<a class="elsevierStyleCrossRef" href="#bib25">25</a> The following parameters were considered&#58;<ul class="elsevierStyleList" id="celist20"><li class="elsevierStyleListItem" id="celistitem80"><span class="elsevierStyleLabel">&#8226;</span><p id="para210" class="elsevierStylePara elsevierViewall">Forced expiratory volume in one second &#40;FEV<span class="elsevierStyleInf">1</span>&#41;&#59;</p></li><li class="elsevierStyleListItem" id="celistitem90"><span class="elsevierStyleLabel">&#8226;</span><p id="para220" class="elsevierStylePara elsevierViewall">Forced vital capacity &#40;FVC&#41;&#59;</p></li><li class="elsevierStyleListItem" id="celistitem100"><span class="elsevierStyleLabel">&#8226;</span><p id="para230" class="elsevierStylePara elsevierViewall">FEV<span class="elsevierStyleInf">1</span>&#47;FVC ratio&#59;</p></li><li class="elsevierStyleListItem" id="celistitem110"><span class="elsevierStyleLabel">&#8226;</span><p id="para240" class="elsevierStylePara elsevierViewall">Forced expiratory flow between 25-75&#37; of FVC &#40;FEF<span class="elsevierStyleInf">25-75</span>&#41;&#59;</p></li><li class="elsevierStyleListItem" id="celistitem120"><span class="elsevierStyleLabel">&#8226;</span><p id="para250" class="elsevierStylePara elsevierViewall">The FEF&#47;FVC&#46;</p></li></ul></p><p id="para260" class="elsevierStylePara elsevierViewall">All parameters were assessed as absolute and percentage values relative to the value predicted for gender&#44; age and height according to Pereira et al&#46;<a class="elsevierStyleCrossRef" href="#bib30">30</a> and following the criteria established by the American Thoracic Society and European Respiratory Society&#46;<a class="elsevierStyleCrossRefs" href="#bib31">31&#44;32</a> FOT exams were carried out first&#44; and the delay between FOT and spirometric exams was less than thirty minutes&#46;</p></span><span id="cesec80" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle130">Sample size and statistical analysis</span><p id="para270" class="elsevierStylePara elsevierViewall">To estimate the sample size&#44; a pilot study in a group of 20 subjects &#40;10 subjects with COPD and 10 controls&#41; was conducted using a protocol identical to that described above&#46; Based on these preliminary results&#44; the software MedCalc&#174; 8&#46;2 &#40;Medicalc Software Mariakerke&#44; Belgium&#41; was used to calculate the sample size based on the difference between means&#44; assuming type I and type II errors of 1&#37;&#46; The minimum calculated value for this study consisted of 12 individuals for each group&#46;</p><p id="para280" class="elsevierStylePara elsevierViewall">Data are presented as means&#177;SD&#46; Initially&#44; the characteristics of the samples were evaluated using the Shapiro-Wilk test&#46; Next&#44; depending on the characteristic&#44; we used the independent Student&#39;s t test or Mann-Whitney U test to assess differences between-groups and the paired t test and one-way ANOVA analysis for intra-group differences&#46; These analyses were performed using <span class="elsevierStyleItalic">STATISTICA</span>&#174; <span class="elsevierStyleItalic">5&#46;0 for Windows</span> &#40;StatSoft Inc&#46;&#44; Tulsa&#44; USA&#41;&#46; Differences were considered statistically significant when <span class="elsevierStyleItalic">p</span>&#60;0&#46;05&#46;</p><p id="para290" class="elsevierStylePara elsevierViewall">The associations between variables related to spirometry and within-breath respiratory impedance tests were investigated using Pearson&#39;s correlation coefficient for the entire group of studied subjects&#46; These tests were carried out using Origin&#174; 6&#46;0 &#40;Microcal Software&#44; MA&#44; USA&#41;&#46;</p><p id="para300" class="elsevierStylePara elsevierViewall">The clinical potential of using FOT indices for the detection of respiratory alterations in patients with COPD was evaluated with receiver operating characteristic &#40;ROC&#41; analyses&#44; which were conducted using MedCalc&#174; 8&#46;2 &#40;Medicalc Software Mariakerke&#44; Belgium&#41;&#46;</p></span></span><span id="cesec90" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle140">RESULTS</span><p id="para310" class="elsevierStylePara elsevierViewall">A total of 48 subjects completed the evaluation protocol&#59; of these subjects&#44; 39 had technically satisfactory measurements&#46; Four patients with COPD &#40;17&#37; of the original COPD group&#41; and five controls &#40;20&#37; of the total control group&#41; produced unsatisfactory measurements due to irregular breathing changes during FOT measurements&#46; The anthropometric and spirometric characteristics of the studied subjects are summarized in <a class="elsevierStyleCrossRef" href="#tbl1">Table 1</a>&#46; Body weight and BMI values were significantly smaller in the COPD group as compared to the control group &#40;<span class="elsevierStyleItalic">p</span>&#60;0&#46;001&#41; while age and height were similar between these groups&#46; As shown in <a class="elsevierStyleCrossRef" href="#tbl1">Table 1</a>&#44; patients with COPD exhibited significant reductions in all of the studied spirometric parameters &#40;<span class="elsevierStyleItalic">p</span>&#60;0&#46;03&#41;&#46;</p><elsevierMultimedia ident="tbl1"></elsevierMultimedia><p id="para320" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#tbl2">Table 2</a> shows the results obtained from evaluation of respiratory system impedance during the respiratory cycle of patients with COPD as compared to controls&#46; The respiratory impedances were always significantly higher in COPD patients than in the control group &#40;Zm&#44; Zbi&#44; Zi&#44; Zbe and Ze&#59; <span class="elsevierStyleItalic">p</span>&#60;0&#46;001&#41;&#46; Similar comparisons revealed that Zpp &#40;<span class="elsevierStyleItalic">p</span>&#60;0&#46;001&#41; and &#916;Zrs &#40;<span class="elsevierStyleItalic">p</span>&#60;0&#46;005&#41; were significantly increased in patients with COPD&#46;</p><elsevierMultimedia ident="tbl2"></elsevierMultimedia><p id="para330" class="elsevierStylePara elsevierViewall">Comparisons of the different respiratory cycle phases in COPD and healthy subjects are shown in <a class="elsevierStyleCrossRef" href="#fig1">Figure 1</a>&#46; The respiratory impedance did not change significantly during the respiratory cycle in the control group &#40;ANOVA&#44; <span class="elsevierStyleItalic">p</span> &#61; ns&#41;&#46; Conversely&#44; the Zrs were significantly increased in the COPD group when the cycle from the beginning of the inspiratory phase to the end of the expiratory phase was considered &#40;ANOVA&#44; <span class="elsevierStyleItalic">p</span>&#60;0&#46;005&#41;&#46; <a class="elsevierStyleCrossRef" href="#fig1">Figure 1</a> also shows that Ze was significantly higher than Zi &#40;<span class="elsevierStyleItalic">p</span>&#60;0&#46;001&#41; and Zbe was significantly higher than Zbi &#40;<span class="elsevierStyleItalic">p</span>&#60;0&#46;001&#41; in patients with COPD&#46;</p><elsevierMultimedia ident="fig1"></elsevierMultimedia><p id="para340" class="elsevierStylePara elsevierViewall">The associations between FOT and spirometric parameters are described in <a class="elsevierStyleCrossRef" href="#tbl3">Table 3</a>&#46; Zm&#44; Zi&#44; Ze&#44; Zbi and Zbe values presented statistically significant inverse correlations with all spirometric parameters&#46; Similar behavior was observed for Zpp and &#916;Zrs&#44; but Zpp was not associated with FVC &#40;L&#41; and &#916;Zrs was not associated with FVC &#40;&#37;&#41;&#46; When the correlation coefficients are compared&#44; Zm&#44; Zi&#44; Ze&#44; Zbe and Zpp were observed to have a higher association with FEV<span class="elsevierStyleInf">1</span> &#40;&#37;&#41;&#44;Zbi was more associated with FEF<span class="elsevierStyleInf">25-75&#37;</span> and &#916;Zrs was more closely associated with FEV<span class="elsevierStyleInf">1</span> &#40;L&#41;&#46;</p><elsevierMultimedia ident="tbl3"></elsevierMultimedia><p id="para350" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#tbl4">Table 4</a> summarizes the results for the evaluation of the clinical potential of the studied indices&#46; Six of the seven studied parameters presented AUC &#8805; 0&#46;9&#46;</p><elsevierMultimedia ident="tbl4"></elsevierMultimedia></span><span id="cesec100" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle150">DISCUSSION</span><p id="para360" class="elsevierStylePara elsevierViewall">In this study&#44; we observed that severe COPD may be identified by the increase in within-breath respiratory system impedance&#46; Our data suggested that this is more evident in the expiratory phase&#44; and confirms the clinical potential of within-breath impedance analysis for the diagnosis of respiratory modifications related to COPD&#46;</p><p id="para370" class="elsevierStylePara elsevierViewall">Twenty percent of the initial control group and 17&#37; of the initial group of patients with COPD were excluded from the study due to inadequate FOT measurements&#46; This percentile values may be associated with a characteristic of this sample of volunteers&#44; because these volunteers do not presented experience with FOT&#46; Individuals comprising the group of patients with COPD had body mass and BMI values that were smaller than those in the control group &#40;<a class="elsevierStyleCrossRef" href="#tbl1">Table 1</a>&#41;&#46; This difference is likely due to the clinical condition of these patients&#44; who suffer from advanced COPD&#46; The alterations in routine lung function parameters in COPD patients were consistent with the presence of severe airway obstruction&#44;<a class="elsevierStyleCrossRefs" href="#bib1">1&#44;32</a> leading to decreased spirometric results &#40;<a class="elsevierStyleCrossRef" href="#tbl1">Table 1</a>&#41;&#46; An FEV<span class="elsevierStyleInf">1</span>&#47;FVC ratio below 70&#37; indicates the presence of airflow obstruction&#44;<a class="elsevierStyleCrossRefs" href="#bib1">1&#44;32</a> while an FEV<span class="elsevierStyleInf">1</span>&#40;&#37;&#41; below 50&#37; indicates the presence of severe obstructive ventilatory insufficiency&#44;<a class="elsevierStyleCrossRefs" href="#bib1">1&#44;33</a> The FVC was reduced in these patients&#44; indicating the presence of a predominantly obstructive process with probable pulmonary hyperinsuflation&#46;<a class="elsevierStyleCrossRef" href="#bib34">34</a></p><p id="para380" class="elsevierStylePara elsevierViewall">In this study&#44; we evaluated the respiratory system impedance module&#44; which is associated with the resistive and reactive properties of the entire respiratory system&#44; including the lung and chest wall&#46;<a class="elsevierStyleCrossRefs" href="#bib4">4&#8211;6</a> COPD is characterized by the presence of airway wall inflammation&#44; and the consequent reduction in bronchial and bronchiolar quality&#44; as well as mucus hypersecretion&#44; results in airway obstruction&#46;<a class="elsevierStyleCrossRefs" href="#bib1">1&#44;7</a> These factors&#44; alone or associated&#44; are responsible for increased airway resistance&#46; In addition to the increased resistance observed in COPD&#44; a decrease in dynamic compliance is also present&#46; This decrease may be explained using the concept of a &#8220;choke point&#8221;&#44; introduced by Dellac&#224; et al&#46;&#44;<a class="elsevierStyleCrossRef" href="#bib13">13</a> and describes the difficulty that the oscillatory signals emitted by the FOT encounter when crossing segments of the bronchial tree&#59; this difficulty is associated with increased small airway resistance&#46;<a class="elsevierStyleCrossRef" href="#bib35">35</a> This event induces a fall in the dynamic compliance and a consequent increase in the impedance module&#46; Consistent with this theory&#44; all of the analyzed parameters were significantly increased in COPD subjects &#40;<a class="elsevierStyleCrossRef" href="#tbl2">Table 2</a>&#41;&#46; The observed changes in Zm describe the increase in respiratory work associated with the previously mentioned changes&#46;</p><p id="para390" class="elsevierStylePara elsevierViewall">In a previous study&#44; Clement et al&#46;<a class="elsevierStyleCrossRef" href="#bib36">36</a> investigated the behavior of Rrs and Xrs in individuals with and without airway obstruction&#46; These authors associated higher values of Rrs and Xrs with increased degrees of airway obstruction&#44; findings that were associated with the pathophysiological progression of COPD&#46; Van Noord et al&#46;<a class="elsevierStyleCrossRef" href="#bib37">37</a> evaluated the respiratory system resistance of 125 individuals with severe airway obstruction using the FOT at 6 Hz&#46; The authors observed increased resistance values in patients with COPD as compared to healthy subjects&#46; The increase in Rrs due to COPD was also demonstrated by Zerah et al&#46;&#44;<a class="elsevierStyleCrossRef" href="#bib9">9</a> who studied the effect of a bronchodilator using multifrequency FOT&#46; According to these authors&#44; this resistance pattern&#44; which is consistent with the lower FEV<span class="elsevierStyleInf">1</span> values identified in this population&#44; is associated with the presence of airway obstruction and consequent non-homogeneous lung capacity&#46; The study conducted by Farr&#233; et al&#46;<a class="elsevierStyleCrossRef" href="#bib38">38</a> evaluated respiratory impedance in mechanically ventilated COPD patients&#46; Rrs and Xrs curves showed that resistance values increased and that reactance values were more negative&#44; which are consistent with our results &#40;<a class="elsevierStyleCrossRef" href="#tbl2">Table 2</a>&#44; <a class="elsevierStyleCrossRef" href="#fig1">Figure 1</a>&#41;&#46; By analyzing the mechanical changes in the respiratory system resulting from increased levels of airway obstruction in COPD&#44; Di Mango et al&#46;<a class="elsevierStyleCrossRef" href="#bib7">7</a> also found that resistance values were increased and that reactance values were more negative&#46; Other characteristics may contribute to the presence of higher Zm values&#44; such as reductions in the homogeneity of the lung time constants&#46;<a class="elsevierStyleCrossRefs" href="#bib7">7&#44;13&#44;27&#44;39</a> Based on equation &#40;1&#41;&#44; the increase in Zm observed in our study &#40;<a class="elsevierStyleCrossRef" href="#tbl2">Table 2</a>&#41; as well as the significant inverse correlations between Zm and spirometric parameters &#40;<a class="elsevierStyleCrossRef" href="#tbl3">Table 3</a>&#41; are consistent with these previously published results<a class="elsevierStyleCrossRefs" href="#bib23">23&#44;24&#44;39</a> and physiological aspects of COPD&#46;<a class="elsevierStyleCrossRefs" href="#bib1">1&#44;35</a></p><p id="para400" class="elsevierStylePara elsevierViewall">In the present study&#44; subjects with COPD exhibited higher impedance in all phases of the ventilatory cycle when compared to control subjects &#40;<a class="elsevierStyleCrossRef" href="#tbl2">Table 2</a>&#59; <a class="elsevierStyleCrossRef" href="#fig1">Figure 1</a>&#41;&#46; The advanced stage of COPD observed in our patients is associated with peribronchial fibrosis and consequent airway tissue remodeling&#46; Thus&#44; this reduced airway compliance may introduce more negative Xrs&#44; contributing to higher Zrs &#40;equation &#40;1&#41;&#41;&#46; Higher values of inspiratory and expiratory impedances were also observed by Cavalcanti et al&#46;<a class="elsevierStyleCrossRef" href="#bib21">21</a> in their comparison between asthmatic and healthy subjects using methodology similar to that used in this paper&#46; One possible contributing factor for these results is the recruitment of accessory muscles in COPD subjects due to impaired diaphragmatic mechanics&#46; In COPD&#44; the change in the tidal volume operating point favors lung hyperinflation&#44; reducing the efficiency of the diaphragm as a pump and inducing the use of accessory muscles&#46; Because respiratory impedance measurements include the influence of the chest wall&#44; we believe that abnormal accessory muscle contraction during inspiration may contribute to the increased Zi in our patients&#46;</p><p id="para410" class="elsevierStylePara elsevierViewall">The Zrs values observed throughout the respiratory cycle were similar in both groups &#40;<a class="elsevierStyleCrossRef" href="#fig1">Figure 1</a>&#41;&#59; Zrs values increased from the beginning of inspiration to expiration&#46; Paredi et al&#46;<a class="elsevierStyleCrossRef" href="#bib22">22</a> observed only minimal changes in Rrs and Xrs values between inspiration and expiration in normal individuals&#46; Consistent with these results&#44; we observed only non-significant changes in Zrs in healthy subjects &#40;<a class="elsevierStyleCrossRef" href="#fig1">Figure 1</a>&#41;&#46; However&#44; patients with COPD showed significant changes in Zrs among the phases of the respiratory cycle &#40;<a class="elsevierStyleCrossRef" href="#fig1">Figure 1</a>&#59; <span class="elsevierStyleItalic">p</span>&#60;0&#46;005&#41;&#46; Consistent with the results obtained by Dellac&#224; et al&#46;<a class="elsevierStyleCrossRef" href="#bib13">13</a> and Johnson et al&#46;&#44;<a class="elsevierStyleCrossRef" href="#bib15">15</a> Zrs values were higher during expiration than inspiration in patients with COPD&#46;</p><p id="para420" class="elsevierStylePara elsevierViewall">Analysis of Zrs during expiration has been used to establish the presence of expiratory flow limitation &#40;EFL&#41;&#46;<a class="elsevierStyleCrossRefs" href="#bib13">13&#44;15</a> During EFL events&#44; increased Zrs values are observed&#46; In this context&#44; Zbe and Ze are expected to be higher than Zbi and Zi in patients with COPD&#46; The results described in <a class="elsevierStyleCrossRef" href="#fig1">Figure 1</a> indicate that EFL may be a significant component affecting respiratory impedance in the studied subjects&#46;</p><p id="para430" class="elsevierStylePara elsevierViewall">Using an impulse oscillation system&#44; Paredi et al&#46;<a class="elsevierStyleCrossRef" href="#bib22">22</a> investigated whether oscillometric indices differ between patients with asthma and patients with COPD&#46; Consistent with the results of the present work&#44; these authors observed that expiratory reactances at 5 Hz were significantly less than inspiratory reactances in patients with COPD&#46; These results are also consistent with those recently described by Kubota et al&#46;<a class="elsevierStyleCrossRef" href="#bib23">23</a> and Kanda et al&#46;<a class="elsevierStyleCrossRef" href="#bib24">24</a></p><p id="para440" class="elsevierStylePara elsevierViewall">The control subjects exhibited minimal variations in &#916;Zrs and Zpp &#40;<a class="elsevierStyleCrossRef" href="#tbl2">Table 2</a>&#44; <a class="elsevierStyleCrossRef" href="#fig1">Figure 1</a>&#41;&#44; which are consistent with previous studies&#46;<a class="elsevierStyleCrossRefs" href="#bib13">13&#8211;15&#44;24</a> Conversely&#44; <a class="elsevierStyleCrossRef" href="#tbl2">Table 2</a> shows that COPD subjects experienced significant increases in &#916;Zrs and Zpp&#46; Previous authors have also observed more substantial expiratory-inspiratory differences in patients with COPD than in healthy subjects&#46;<a class="elsevierStyleCrossRefs" href="#bib22">22&#8211;24</a></p><p id="para450" class="elsevierStylePara elsevierViewall">In our understanding as well as that of other authors&#44;<a class="elsevierStyleCrossRefs" href="#bib40">40&#44;41</a> the behavior of Zrs throughout the respiratory cycle in patients with COPD is a controversial topic with several unclear components of the pathophysiology&#46; Further studies are needed to improve our understanding&#44; e&#46;g&#46;&#44; concerning the effects of a process dominated by emphysema &#40;elastic changes&#41; or chronic bronchitis &#40;obstructive changes&#41;&#46;</p><p id="para460" class="elsevierStylePara elsevierViewall">Zm&#44; Zi&#44; Ze&#44; Zbi and Zbe were significantly and inversely associated with FEV<span class="elsevierStyleInf">1</span> and FVC &#40;<a class="elsevierStyleCrossRef" href="#tbl3">Table 3</a>&#41;&#44; which link these impedance parameters with airway obstruction and pulmonary volume reductions&#46; Notably&#44; the highest coefficient of determination was observed between FEV<span class="elsevierStyleInf">1</span> &#40;&#37;&#41; and Zbe&#44; whereas weaker associations were observed when Zpp and &#916;Zrs were considered&#46;</p><p id="para470" class="elsevierStylePara elsevierViewall">Johnson and colleagues<a class="elsevierStyleCrossRef" href="#bib39">39</a> compared Rrs and Xrs at 5 Hz with pulmonary resistance &#40;RL&#41;&#44; as assessed by the use of an esophageal balloon&#46; Their results indicated that these parameters can be used as predictors of RL&#46; In this case&#44; the greatest advantage of FOT from the perspective of clinical application lies in the fact that the evaluation of Rrs and Xrs by FOT does not involve the use of an invasive procedure&#44; which is necessary for the evaluation of RL with an esophageal balloon&#46; These authors highlighted the strong potential of this approach for scientific and clinical application of real-time assessment of Rrs and Xrs and suggested that the clinical use of these parameters should be systematically evaluated&#46;<a class="elsevierStyleCrossRef" href="#bib39">39</a></p><p id="para480" class="elsevierStylePara elsevierViewall">To contribute in this direction&#44; ROC curves were elaborated&#46; According to the literature&#44; ROC curves with AUCs between 0&#46;50 and 0&#46;70 indicate low diagnostic accuracy&#44; AUCs between 0&#46;70 and 0&#46;90 indicate moderate diagnostic accuracy&#44; and AUCs between 0&#46;90 and 1&#46;00 indicate high diagnostic accuracy&#46;<a class="elsevierStyleCrossRefs" href="#bib42">42&#44;43</a> An AUC&#62;0&#46;80 is usually considered to be adequate for clinical use&#46;<a class="elsevierStyleCrossRefs" href="#bib42">42&#44;43</a> Thus&#44; AUC values for Zm&#44; Zi&#44; Ze&#44; Zbi&#44; Zbe and Zpp represented highly accurate measurements &#40;<a class="elsevierStyleCrossRef" href="#tbl4">Table 4</a>&#41;&#46; However&#44; &#916;Zrs values do not attain adequate values for clinical use&#46; Under these conditions&#44; Ze was the most suitable for correctly identifying the effects of COPD&#44; with a sensitivity of 100&#37; and a specificity of 90&#37;&#46; These promising results are consistent with those obtained previously<a class="elsevierStyleCrossRefs" href="#bib21">21&#44;44</a> and suggest that the Zrs observed in different phases of the respiratory cycle may be useful in the detection of COPD&#46;</p><p id="para490" class="elsevierStylePara elsevierViewall">When the results of the present study are compared with those obtained in a previous study our group conducted in asthmatic subjects&#44;<a class="elsevierStyleCrossRef" href="#bib21">21</a> both studies were found to provide similar results with AUCs above 0&#46;9&#44; indicating high diagnostic accuracy&#46; The AUC values determined in these studies are superior to those obtained in previous studies using multifrequency FOT that were performed in patients with COPD<a class="elsevierStyleCrossRef" href="#bib45">45</a> &#40;maximum AUCs of 0&#46;85&#41;&#44; in asthmatic patients<a class="elsevierStyleCrossRef" href="#bib27">27</a> &#40;maximum AUCs of 0&#46;88&#41;&#44; and in patients with sarcoidosis<a class="elsevierStyleCrossRef" href="#bib28">28</a> &#40;maximum AUCs of 0&#46;84&#41;&#46; Thus&#44; our results confirm the hypothesis that monofrequency FOT can attain higher diagnostic accuracy than its corresponding multifrequency counterpart&#46;<a class="elsevierStyleCrossRef" href="#bib21">21</a></p><p id="para500" class="elsevierStylePara elsevierViewall">There are three potential limitations in the present study&#46; First&#44; it is important to note that the description of sensitivity&#44; specificity and accuracy is dependent on the population studied&#44; and that the present work was conducted in patients with severe airway obstruction&#46; Studies in patients with mild and moderate airflow obstruction are still necessary to confirm this hypothesis&#46;</p><p id="para510" class="elsevierStylePara elsevierViewall">The second possible limitation is that the reproducibility of the FOT measures was not evaluated in our patients with COPD&#46; Dellac&#224; et al&#46;<a class="elsevierStyleCrossRef" href="#bib46">46</a> recently evaluated the reproducibility of within breath respiratory resistance during home monitoring&#46; These authors showed a discrepancy of resistance of 0&#46;10&#177;0&#46;01 cmH<span class="elsevierStyleInf">2</span>O&#47;L&#47;s in COPD patients&#44; and pointed out that FOT yields accurate and reproducible data in COPD patients&#46; Therefore&#44; the lack of reproducibility evaluation probably is not a problem in the present study&#46;</p><p id="para520" class="elsevierStylePara elsevierViewall">The third possible limitation is that&#44; in order to evaluate the contribution of the MnFOT in the diagnosis of COPD&#44; we performed a study using spirometry as a reference&#46; One could argue that a comparison between these methods would also be useful&#46; In fact&#44; our research group recently performed this comparison in groups of smokers with very interesting results&#46; FOT parameters were more accurate than spirometric indices to identify small alterations due to smoking&#44;<a class="elsevierStyleCrossRefs" href="#bib44">44&#44;47</a> while in patients with higher tobacco consumption&#44; the diagnostic performance of the FOT was similar to that observed in spirometry&#46;<a class="elsevierStyleCrossRef" href="#bib44">44</a> These studies were conducted using multifrequency FOT&#46; However&#44; in the present paper&#44; the spirometry is used as a reference technique&#44; and therefore we cannot make a direct comparison between spirometry and FOT&#46; In the previously cited papers&#44;<a class="elsevierStyleCrossRefs" href="#bib44">44&#44;47</a> we compared these two techniques using the amount of tobacco consumption &#40;pack-years&#41; as a reference&#46; Thus&#44; although it is a really intriguing question&#44; we cannot evaluate it in the present paper&#46;</p><p id="para530" class="elsevierStylePara elsevierViewall">Individuals with COPD and severe airway obstruction present respiratory impedances higher than those observed in healthy individuals in all phases of the respiratory cycle&#46; Thus&#44; the impedance changes observed in individuals with COPD reflect the high mechanical load imposed on the respiratory system of these patients&#44; and these changes are consistent with the pathophysiology of the disease&#46; These patients experience higher impedances in the expiratory phase than in the inspiratory phase&#44; indicating that expiratory flow limitation may play a significant role in severe COPD&#46; Several of the studied parameters demonstrated high accuracy for the diagnosis of COPD&#46; These results indicate that the evaluation of respiratory impedance in different phases of the respiratory cycle may be a promising clinical diagnostic tool&#44; representing an alternative and&#47;or complementary technique to other conventional exams used to clinically evaluate patients with COPD&#46;</p></span></span>"
    "textoCompletoSecciones" => array:1 [
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        0 => array:2 [
          "identificador" => "xpalclavsec1582408"
          "titulo" => "KEYWORDS"
        ]
        1 => array:2 [
          "identificador" => "cesec10"
          "titulo" => "INTRODUCTION"
        ]
        2 => array:3 [
          "identificador" => "cesec20"
          "titulo" => "MATERIALS AND METHODS"
          "secciones" => array:6 [
            0 => array:2 [
              "identificador" => "cesec30"
              "titulo" => "Study design and ethical considerations"
            ]
            1 => array:2 [
              "identificador" => "cesec40"
              "titulo" => "Subjects"
            ]
            2 => array:2 [
              "identificador" => "cesec50"
              "titulo" => "Study protocol"
            ]
            3 => array:2 [
              "identificador" => "cesec60"
              "titulo" => "Within-breath respiratory impedance measurements"
            ]
            4 => array:2 [
              "identificador" => "cesec70"
              "titulo" => "Spirometry"
            ]
            5 => array:2 [
              "identificador" => "cesec80"
              "titulo" => "Sample size and statistical analysis"
            ]
          ]
        ]
        3 => array:2 [
          "identificador" => "cesec90"
          "titulo" => "RESULTS"
        ]
        4 => array:2 [
          "identificador" => "cesec100"
          "titulo" => "DISCUSSION"
        ]
        5 => array:1 [
          "titulo" => "REFERENCES"
        ]
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    "pdfFichero" => "main.pdf"
    "tienePdf" => true
    "fechaRecibido" => "2011-07-05"
    "fechaAceptado" => "2011-08-31"
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        0 => array:4 [
          "clase" => "keyword"
          "titulo" => "KEYWORDS"
          "identificador" => "xpalclavsec1582408"
          "palabras" => array:5 [
            0 => "COPD"
            1 => "Within-breath analyses"
            2 => "Forced oscillation technique"
            3 => "Diagnostic"
            4 => "Respiratory diseases"
          ]
        ]
      ]
    ]
    "tieneResumen" => true
    "resumen" => array:1 [
      "en" => array:2 [
        "resumen" => "<span id="ceabs10" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle10">OBJECTIVES&#58;</span><p id="spara100" class="elsevierStyleSimplePara elsevierViewall">Several studies have confirmed the high potential of the forced oscillation technique for the assessment of respiratory modifications related to chronic obstructive pulmonary disease&#46; However&#44; most of these studies did not employ within-breath analyses of the respiratory system&#46; The aim of this study is to analyze respiratory impedance alterations in different phases of the respiratory cycle of chronic obstructive pulmonary disease patients and to evaluate their clinical use&#46;</p></span> <span id="ceabs20" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle20">METHODS&#58;</span><p id="spara110" class="elsevierStyleSimplePara elsevierViewall">39 individuals were evaluated&#44; including 20 controls and 19 individuals with chronic obstructive pulmonary disease who experienced severe airway obstruction&#46; We evaluated the mean respiratory impedance &#40;Zm&#41; as well as values for inspiration &#40;Zi&#41; and expiration cycles &#40;Ze&#41;&#44; at the beginning of inspiration &#40;Zbi&#41; and expiration &#40;Zbe&#41;&#46; The peak-to-peak impedance &#40;Zpp&#41;&#44; and the impedance change &#40;&#916;Zrs&#41; were also analyzed&#46; The clinical usefulness was evaluated by investigating the sensibility&#44; specificity and the area under the receiver operating characteristic curve&#46;</p></span> <span id="ceabs30" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle30">RESULTS&#58;</span><p id="spara120" class="elsevierStyleSimplePara elsevierViewall">The respiratory impedance increased in individuals with chronic obstructive pulmonary disease in all of the studied parameters &#40;Zm&#44; Zi&#44; Ze&#44; Zbi&#44; Zbe&#44; &#916;Zrs and Zpp&#41;&#46; These changes were inversely associated with spirometric parameters&#46; Higher impedances were observed in the expiratory phase of individuals with chronic obstructive pulmonary disease&#46; All of the studied parameters&#44; except for &#916;Zrs &#40;area under the receiver operating characteristic &#60;0&#46;8&#41;&#44; exhibited high accuracy for clinical use &#40;area under the receiver operating characteristic &#62;0&#46;90&#59; Sensibility &#8805; 0&#46;85&#59; Sp &#8805; 0&#46;85&#41;&#46;</p></span> <span id="ceabs40" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle40">CONCLUSIONS&#58;</span><p id="spara130" class="elsevierStyleSimplePara elsevierViewall">The respiratory alterations in severe chronic obstructive pulmonary disease may be identified by the increase in respiratory system impedance&#44; which is more evident in the expiratory phase&#46; These results confirm the potential of within-breath analysis of respiratory impedance for the assessment of respiratory modifications related to chronic obstructive pulmonary disease&#46;</p></span>"
        "secciones" => array:4 [
          0 => array:2 [
            "identificador" => "ceabs10"
            "titulo" => "OBJECTIVES&#58;"
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          1 => array:2 [
            "identificador" => "ceabs20"
            "titulo" => "METHODS&#58;"
          ]
          2 => array:2 [
            "identificador" => "ceabs30"
            "titulo" => "RESULTS&#58;"
          ]
          3 => array:2 [
            "identificador" => "ceabs40"
            "titulo" => "CONCLUSIONS&#58;"
          ]
        ]
      ]
    ]
    "NotaPie" => array:1 [
      0 => array:1 [
        "nota" => "<p class="elsevierStyleNotepara" id="cenpara10">No potential conflict of interest was reported&#46;</p> <p class="elsevierStyleNotepara" id="cenpara20">Silva KKD conducted the measurements for this study&#44; analyzed the data&#44; and drafted the manuscript&#46; Lopes AJ provided data and subject identification&#46; Jansen JM&#44; mentored Silva KKD and participated in data analysis process&#46; Melo PL mentored Silva KKD organized the study and helped to draft the manuscript&#46; All authors have read and approved this manuscript&#46;</p>"
      ]
    ]
    "multimedia" => array:6 [
      0 => array:7 [
        "identificador" => "fig1"
        "etiqueta" => "Figure 1"
        "tipo" => "MULTIMEDIAFIGURA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
        "figura" => array:1 [
          0 => array:4 [
            "imagen" => "gr1.jpeg"
            "Alto" => 389
            "Ancho" => 498
            "Tamanyo" => 24603
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        ]
        "descripcion" => array:1 [
          "en" => "<p id="spara10" class="elsevierStyleSimplePara elsevierViewall">Mean Zrs values during the ventilatory cycle in COPD &#40;red lines&#41; and healthy subjects &#40;blue lines&#41;&#46;</p>"
        ]
      ]
      1 => array:7 [
        "identificador" => "tbl1"
        "etiqueta" => "Table 1"
        "tipo" => "MULTIMEDIATABLA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
        "tabla" => array:2 [
          "leyenda" => "<p id="spara30" class="elsevierStyleSimplePara elsevierViewall">COPD&#58; Chronic Obstructive Pulmonary Disease&#59; n&#58; number of subjects&#59; ns&#58; non-significant&#59;</p><p id="spara40" class="elsevierStyleSimplePara elsevierViewall">BMI&#58; body mass index&#59; FEV<span class="elsevierStyleInf">1</span>&#58; forced expiratory volume in one second&#59; FVC&#58; forced vital capacity&#59; FEF&#58; forced expiratory flow&#59; &#37;&#58; percentage of the predicted value&#46;</p>"
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                0 => """
                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n
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                  \t\t\t\t" scope="col">&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="center" valign="top" scope="col">COPD &#40;n &#61; 19&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
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                  \t\t\t\t  " align="center" valign="top" scope="col">Control &#40;n &#61; 20&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="center" valign="top">14&#47;05&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="center" valign="top">07&#47;13&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">71&#46;3&#177;8&#46;1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="center" valign="top">68&#46;3&#177;8&#46;3&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">Weight &#40;kg&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="center" valign="top">56&#46;8&#177;10&#46;4&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="center" valign="top">73&#46;5&#177;12&#46;3&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">Height &#40;m&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">1&#46;60&#177;0&#46;10&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">1&#46;63&#177;0&#46;08&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="center" valign="top">ns&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">BMI &#40;kg&#47;m<span class="elsevierStyleSup">2</span>&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">21&#46;90&#177;3&#46;50&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">27&#46;79&#177;4&#46;4&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">FVC &#40;L&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">2&#46;38&#177;0&#46;8&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">2&#46;89&#177;0&#46;61&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">0&#46;03&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">FVC &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">76&#46;6&#177;21&#46;8&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">94&#46;4&#177;15&#46;42&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">0&#46;005&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">FEV<span class="elsevierStyleInf">1</span> &#40;L&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">0&#46;84&#177;0&#46;28&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">2&#46;33&#177;0&#46;59&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">0&#46;0001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">FEV<span class="elsevierStyleInf">1</span> &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">36&#46;5&#177;11&#46;0&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">97&#46;4&#177;14&#46;64&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">0&#46;0001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">FEV<span class="elsevierStyleInf">1</span>&#47;FVC&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">37&#46;3&#177;9&#46;0&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">80&#46;25&#177;6&#46;23&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">0&#46;0001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">FEF&#47;FVC&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">12&#46;7&#177;6&#46;7&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">78&#46;09&#177;22&#46;23&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">0&#46;0001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">FEF<span class="elsevierStyleInf">25-75</span> &#40;L&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="center" valign="top">0&#46;28&#177;0&#46;1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="center" valign="top">2&#46;31&#177;0&#46;94&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">0&#46;0001&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top" style="border-bottom: 2px solid black">FEF<span class="elsevierStyleInf">25-75</span> &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top" style="border-bottom: 2px solid black">12&#46;2&#177;5&#46;2&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top" style="border-bottom: 2px solid black">0&#46;0001&nbsp;\t\t\t\t\t\t\n
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        "descripcion" => array:1 [
          "en" => "<p id="spara20" class="elsevierStyleSimplePara elsevierViewall">Biometric and spirometric characteristics of the studied subjects&#46;</p>"
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      2 => array:7 [
        "identificador" => "tbl2"
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        "tabla" => array:2 [
          "leyenda" => "<p id="spara60" class="elsevierStyleSimplePara elsevierViewall">Zm &#8211; Mean impedance of the respiratory system&#59; Zi &#8211; inspiratory impedance&#59; Ze &#8211; expiratory impedance&#59; Zbi &#8211; impedance at the beginning of inspiration&#59; Zbe &#8211; impedance at the beginning of expiration&#46; Zpp &#8211; peak-to-peak variation of the impedance&#59; &#916;Zrs &#8211; variation of the mean impedance&#46;</p>"
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                  \t\t\t\t  " align="center" valign="top" scope="col">COPD&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="center" valign="top" scope="col">Control&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="top">Zm &#40;cmH<span class="elsevierStyleInf">2</span>O&#92;L&#92;s&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">4&#46;6&#177;1&#46;2&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">Zi &#40;cmH<span class="elsevierStyleInf">2</span>O&#92;L&#92;s&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">9&#46;0&#177;2&#46;5&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">4&#46;4&#177;1&#46;2&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">Ze &#40;cmH<span class="elsevierStyleInf">2</span>O&#92;L&#92;s&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">10&#46;5&#177;3&#46;1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">4&#46;7&#177;1&#46;3&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">Zbi &#40;cmH<span class="elsevierStyleInf">2</span>O&#92;L&#92;s&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">8&#46;1&#177;2&#46;0&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">4&#46;3&#177;1&#46;3&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">Zbe &#40;cmH<span class="elsevierStyleInf">2</span>O&#92;L&#92;s&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">11&#46;0&#177;3&#46;1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">4&#46;8&#177;1&#46;3&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">Zpp &#40;cmH<span class="elsevierStyleInf">2</span>O&#92;L&#92;s&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">2&#46;93&#177;2&#46;02&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">0&#46;50&#177;0&#46;74&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top" style="border-bottom: 2px solid black">&#916;Zrs &#40;cmH<span class="elsevierStyleInf">2</span>O&#92;L&#92;s&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top" style="border-bottom: 2px solid black">1&#46;49&#177;1&#46;65&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top" style="border-bottom: 2px solid black">0&#46;27&#177;0&#46;57&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top" style="border-bottom: 2px solid black">0&#46;005&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
              ]
            ]
          ]
        ]
        "descripcion" => array:1 [
          "en" => "<p id="spara50" class="elsevierStyleSimplePara elsevierViewall">Comparative analysis between COPD and control subjects considering the impedance in different phases of the ventilatory cycle&#46;</p>"
        ]
      ]
      3 => array:7 [
        "identificador" => "tbl3"
        "etiqueta" => "Table 3"
        "tipo" => "MULTIMEDIATABLA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
        "tabla" => array:2 [
          "leyenda" => "<p id="spara80" class="elsevierStyleSimplePara elsevierViewall">Values are presented as mean and confidence interval &#40;95&#37;&#41;&#59; Zm &#8211; mean impedance of the respiratory system&#59; Zi &#8211; inspiratory impedance&#59; Ze &#8211; expiratory impedance&#59; Zbi &#8211; impedance at the beginning of inspiration&#59; Zbe &#8211; impedance at the beginning of expiration&#46; Zpp &#8211; peak-to-peak variation of the impedance&#59; &#916;Zrs &#8211; variation of the mean impedance&#46;</p>"
          "tablatextoimagen" => array:1 [
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                0 => """
                  <table border="0" frame="\n
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                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="center" valign="top" scope="col">AUC&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="center" valign="top" scope="col">Se &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="center" valign="top" scope="col">Sp &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="center" valign="top" scope="col">Cut-off&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">Zm &#40;cmH<span class="elsevierStyleInf">2</span>O&#47;L&#47;s&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">0&#46;974&#40;0&#46;86-1&#46;00&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">94&#46;7&#40;73&#46;9-99&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">95&#46;0&#40;75&#46;1-99&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">6&#46;2&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">Zi &#40;cmH<span class="elsevierStyleInf">2</span>O&#47;L&#47;s&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">0&#46;963&#40;0&#46;85-0&#46;99&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">94&#46;7&#40;73&#46;9-99&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">90&#46;0&#40;68&#46;3-98&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">5&#46;6&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">Ze &#40;cmH<span class="elsevierStyleInf">2</span>O&#47;L&#47;s&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">0&#46;976&#40;0&#46;87-1&#46;00&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">100&#46;0&#40;82&#46;2-100&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">90&#46;0&#40;68&#46;3-98&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">5&#46;7&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">Zbi &#40;cmH<span class="elsevierStyleInf">2</span>O&#47;L&#47;s&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">0&#46;958&#40;0&#46;84-0&#46;99&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">94&#46;7&#40;73&#46;9-99&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">90&#46;0&#40;68&#46;3-98&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">5&#46;4&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">Zbe &#40;cmH<span class="elsevierStyleInf">2</span>O&#47;L&#47;s&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">0&#46;971&#40;0&#46;86-1&#46;00&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">94&#46;7&#40;73&#46;9-99&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">95&#40;75&#46;1-99&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">6&#46;2&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">Zpp &#40;cmH<span class="elsevierStyleInf">2</span>O&#47;L&#47;s&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">0&#46;903&#40;0&#46;76-0&#46;97&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">89&#44;5&#40;66&#46;8-98&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">85&#40;62&#46;1-96&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">1&#46;3&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top" style="border-bottom: 2px solid black">&#916;Zrs &#40;cmH<span class="elsevierStyleInf">2</span>O&#47;L&#47;s&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top" style="border-bottom: 2px solid black">0&#46;766&#40;0&#46;60-0&#46;89&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top" style="border-bottom: 2px solid black">78&#46;9&#40;45&#46;7-88&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top" style="border-bottom: 2px solid black">78&#46;9&#40;54&#46;4-93&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top" style="border-bottom: 2px solid black">0&#46;37&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
              ]
            ]
          ]
        ]
        "descripcion" => array:1 [
          "en" => "<p id="spara70" class="elsevierStyleSimplePara elsevierViewall">Area under the curve &#40;AUC&#41;&#44; sensitivity &#40;Se&#41;&#44; specificity &#40;Sp&#41; and cut-off point of the Forced Oscillation parameters&#46;</p>"
        ]
      ]
      4 => array:7 [
        "identificador" => "tbl4"
        "etiqueta" => "Table 4"
        "tipo" => "MULTIMEDIATABLA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
        "tabla" => array:1 [
          "tablatextoimagen" => array:1 [
            0 => array:1 [
              "tabla" => array:1 [
                0 => """
                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
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                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="center" valign="top" scope="col">Zm&#40;cmH<span class="elsevierStyleInf">2</span>O&#47;L&#47;s&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="center" valign="top" scope="col">Zi&#40;cmH<span class="elsevierStyleInf">2</span>O&#47;L&#47;s&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="center" valign="top" scope="col">Ze&#40;cmH<span class="elsevierStyleInf">2</span>O&#47;L&#47;s&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="center" valign="top" scope="col">Zbi&#40;cmH2O&#47;L&#47;s&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="center" valign="top" scope="col">Zbe&#40;cmH2O&#47;L&#47;s&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="center" valign="top" scope="col">Zpp&#40;cmH2O&#47;L&#47;s&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="center" valign="top" scope="col">&#916;Zrs&#40;cmH<span class="elsevierStyleInf">2</span>O&#47;L&#47;s&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">FVC &#40;L&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">r -0&#46;57&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">-0&#46;53&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">-0&#46;57&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">-0&#46;56&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">-0&#46;48&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">-0&#46;25&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">-0&#46;40&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">p 0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="center" valign="top">0&#46;002&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
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Article information

ISSN: 18075932
Original language: English

DOI:10.1590/S1807-59322011001200014

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2024 November	7	0	7
2024 October	40	25	65
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2024 July	44	17	61
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