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array:23 [ "pii" => "S0122726221000628" "issn" => "01227262" "doi" => "10.1016/j.acci.2021.04.002" "estado" => "S300" "fechaPublicacion" => "2022-04-01" "aid" => "318" "copyright" => "Asociación Colombiana de Medicina Crítica y Cuidado lntensivo" "copyrightAnyo" => "2021" "documento" => "article" "crossmark" => 1 "subdocumento" => "fla" "cita" => "Acta Colomb Cuid Intensivo. 2022;22:88-94" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:1 [ "total" => 0 ] "itemSiguiente" => array:18 [ "pii" => "S0122726221000203" "issn" => "01227262" "doi" => "10.1016/j.acci.2021.02.001" "estado" => "S300" "fechaPublicacion" => "2022-04-01" "aid" => "306" "copyright" => "Asociación Colombiana de Medicina Crítica y Cuidado lntensivo" "documento" => "article" "crossmark" => 1 "subdocumento" => "fla" "cita" => "Acta Colomb Cuid Intensivo. 2022;22:95-9" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:1 [ "total" => 0 ] "en" => array:12 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Original article</span>" "titulo" => "Clinical features and prognostic factors of adults with COVID-19 admitted to intensive care units in Colombia: A multicentre retrospective study during the first wave of the pandemic" "tienePdf" => "en" "tieneTextoCompleto" => "en" "tieneResumen" => array:2 [ 0 => "en" 1 => "es" ] "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "95" "paginaFinal" => "99" ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "Características clínicas y factores pronósticos de adultos con COVID-19 ingresados en unidades de cuidados intensivos en Colombia: un estudio retrospectivo multicéntrico durante la primera ola pandémica" ] ] "contieneResumen" => array:2 [ "en" => true "es" => true ] "contieneTextoCompleto" => array:1 [ "en" => true ] "contienePdf" => array:1 [ "en" => true ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "Alberto Henríquez, Jose Accini, Hernando Baquero, Francisco Molina, Alejandro Rey, Victoria E. 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"etiqueta" => "<span class="elsevierStyleSup">d</span>" "identificador" => "aff0020" ] ] ] 5 => array:3 [ "nombre" => "Isabel" "apellidos" => "Arenas Berenguer" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">d</span>" "identificador" => "aff0020" ] ] ] 6 => array:3 [ "nombre" => "Rosa" "apellidos" => "Mayayo Alvira" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">d</span>" "identificador" => "aff0020" ] ] ] 7 => array:3 [ "nombre" => "Daniel" "apellidos" => "Ruiz López" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">d</span>" "identificador" => "aff0020" ] ] ] ] "afiliaciones" => array:4 [ 0 => array:3 [ "entidad" => "Department of Internal Medicine, Hospital Universitario Puerta de Hierro, Majadahonda, Madrid, Spain" "etiqueta" => "a" "identificador" => "aff0005" ] 1 => array:3 [ "entidad" => "Department of Medicine, Universidad Alfonso X El Sabio, Madrid, Spain" "etiqueta" => "b" "identificador" => "aff0010" ] 2 => array:3 [ "entidad" => "Department of Medicine, Universidad Francisco de Vitoria, Madrid, Spain" "etiqueta" => "c" "identificador" => "aff0015" ] 3 => array:3 [ "entidad" => "Department of Emergency Medicine, Hospital Universitario La Paz, Madrid, Spain" "etiqueta" => "d" "identificador" => "aff0020" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "cor0005" "etiqueta" => "⁎" "correspondencia" => "Corresponding author." ] ] ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "Validez y fiabilidad de la ecografía clínica en la medición de la vena cava inferior: Sistema automatizado frente a manual" ] ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig0005" "etiqueta" => "Figure 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 1397 "Ancho" => 2925 "Tamanyo" => 336501 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Study selection flow diagram.</p>" ] ] ] "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0065">Introduction</span><p id="par0005" class="elsevierStylePara elsevierViewall">Administration of intravenous fluids prescription is one of the most frequent tasks in the Emergency Department (ED). However, anamnesis, physical exam and blood tests are unreliable for the assessment of volume status in order to guide fluid therapy.<a class="elsevierStyleCrossRef" href="#bib0135"><span class="elsevierStyleSup">1</span></a></p><p id="par0010" class="elsevierStylePara elsevierViewall">In the last few years, Point-of-Care Ultrasound (POCUS) has arisen as a useful tool that can help to guide volume therapy. The maximum and minimum diameter of the inferior vena cava (IVC) are being used to calculate the collapsibility index (CI) and to estimate the central venous pressure.<a class="elsevierStyleCrossRef" href="#bib0140"><span class="elsevierStyleSup">2</span></a></p><p id="par0015" class="elsevierStylePara elsevierViewall">The American Society of Echocardiography guidelines establish the correlation between the patient's IVC and the central venous pressure (CVP).<a class="elsevierStyleCrossRef" href="#bib0145"><span class="elsevierStyleSup">3</span></a> Based on this, we can find three clinical situations: (a) expiratory IVC<span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>10<span class="elsevierStyleHsp" style=""></span>mm and CI<span class="elsevierStyleHsp" style=""></span>><span class="elsevierStyleHsp" style=""></span>50%, probable depletion or preload-dependence situation; (b) expiratory IVC<span class="elsevierStyleHsp" style=""></span>><span class="elsevierStyleHsp" style=""></span>21<span class="elsevierStyleHsp" style=""></span>mm and CI<span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>10%, probable volume overload situation, might benefit from diuretic therapy; (c) expiratory IVC of 10–20<span class="elsevierStyleHsp" style=""></span>mm and CI 10–50%, it is an intermediate situation, and more tests are needed (passive leg raising test, fluid challenge<a class="elsevierStyleCrossRefs" href="#bib0135"><span class="elsevierStyleSup">1,4–6</span></a>).</p><p id="par0020" class="elsevierStylePara elsevierViewall">The CI measured by ultrasound has demonstrated its usefulness in the evaluation of the patient fluid responsiveness, with a sensitivity of 76% and a specificity of 86%.<a class="elsevierStyleCrossRefs" href="#bib0165"><span class="elsevierStyleSup">7–9</span></a> The advantages include its speed (duration of exploration less than 5<span class="elsevierStyleHsp" style=""></span>min), low cost, absence of radiation and low technical difficulties, being applicable with short learning curves.</p><p id="par0025" class="elsevierStylePara elsevierViewall">Nevertheless, the central venous pressure is influenced by several cardiopulmonary conditions, such as pulmonary hypertension, right heart failure or advanced chronic obstructive pulmonary disease, where the measure the IVC may fail to accurately predict volume status.<a class="elsevierStyleCrossRef" href="#bib0180"><span class="elsevierStyleSup">10</span></a></p><p id="par0030" class="elsevierStylePara elsevierViewall">In the last years, technological advances have allowed the incorporation of automatic tools in ultrasound machines, such as automatic counting system of lung b-lines,<a class="elsevierStyleCrossRef" href="#bib0185"><span class="elsevierStyleSup">11</span></a> automatic measurement of the velocity time integral (VTI), to estimate stroke volume, or automatic measurement of the IVC (diameter and collapsability). POCUS has become an ubiquitous technique in different areas of patient care (outpatient, ED or ICU),<a class="elsevierStyleCrossRefs" href="#bib0190"><span class="elsevierStyleSup">12–14</span></a> by different non-physician professionals, such as nurses<a class="elsevierStyleCrossRefs" href="#bib0205"><span class="elsevierStyleSup">15–21</span></a> for the assessment of the hemodynamic state. While interobserver concordance among medical and nursing personnel is acceptable (kappa index 0.68),<a class="elsevierStyleCrossRef" href="#bib0240"><span class="elsevierStyleSup">22</span></a> we wonder if the use of automated tools would be able to increase this concordance.</p><p id="par0035" class="elsevierStylePara elsevierViewall">The objective of our study was to assess the degree of concordance between novice compared to experienced providers using the M-mode and automatic measurement of the IVC and test the inter- and intra-observer reliability of both systems in healthy volunteers.</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0070">Patients and methods</span><p id="par0040" class="elsevierStylePara elsevierViewall">The Research Ethics Committee of our Hospital approved the present study. Verbal informed consent was obtained before enrollment.</p><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Patient selection</span><p id="par0045" class="elsevierStylePara elsevierViewall">We recruited a convenience sample of five healthy adults, who were currently in the Emergency Department (ED).</p></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Study protocol</span><p id="par0050" class="elsevierStylePara elsevierViewall">The recruited healthy volunteers (health care workers of the ED) received the relevant information of the study and after obtaining verbal informed consent; they were laid in a hospital bed, in a quiet environment.</p><p id="par0055" class="elsevierStylePara elsevierViewall">The ultrasound was performed consecutively by each of the six members of the research group: two emergency physicians, experienced sonologists in POCUS (according to the American College of Emergency Physicians ultrasonographic guidelines<a class="elsevierStyleCrossRef" href="#bib0245"><span class="elsevierStyleSup">23</span></a>), two ultrasound novice (inexperienced) emergency physicians and two ultrasound novice emergency nurses. Prior to the beginning of the study, each ultrasound novice member of the research group, received a 1-day training course on POCUS basics and IVC measurement, on healthy volunteers. Afterwards, they performed around 5–10 supervised measurements on patients.</p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Ultrasound studies</span><p id="par0060" class="elsevierStylePara elsevierViewall">All examinations were blindly and consecutively performed using a GE VENUE ultrasound machine with a Curvillinear transducer (1.5–4.5<span class="elsevierStyleHsp" style=""></span>MHz) (General Electrics Healthcare).</p><p id="par0065" class="elsevierStylePara elsevierViewall">The IVC was visualized from the subcostal view, in longitudinal axis, approximately 2<span class="elsevierStyleHsp" style=""></span>cm from the IVC right atrial junction, using the M-mode. Maximum and minimum diameter of the IVC were recorded in each volunteer in supine position (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>5, counting 10 measurements of the IVC per sonographer, and 60 measurements in total) evaluated at the end of an inspiration and expiration during spontaneous breathing.</p><p id="par0070" class="elsevierStylePara elsevierViewall">Subsequently, the same measurement was carried out, using the IVC self-measurement tool (Auto-IVC VENUE, General Electric Healthcare), and 3 respiratory cycles were recorded. Again, maximum and minimum diameter of the IVC were recorded in each volunteer (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>5, counting 10 measurements of the IVC per sonographer, and 60 measurements in total) in spontaneous breathing.</p><p id="par0075" class="elsevierStylePara elsevierViewall">A second round was carried out straight after the first round, following the same method (6 M-mode and 6 Auto-IVC ultrasound exams per volunteer, 120 measurements in total). <a class="elsevierStyleCrossRef" href="#fig0005">Fig. 1</a> shows the flow diagram the total number of measures of the IVC carried by each operator according to the group (novice ED physician, novice ED nurse, expert ED physician). The whole study was completed in less than 10<span class="elsevierStyleHsp" style=""></span>min per sonographer.</p><elsevierMultimedia ident="fig0005"></elsevierMultimedia><p id="par0080" class="elsevierStylePara elsevierViewall">The average time for each examination was recorded.</p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Outcome measures and definitions</span><p id="par0085" class="elsevierStylePara elsevierViewall">The primary outcome was to analyze the concordance between the M-mode and automatic measurement systems of the IVC. The secondary outcomes were to evaluate the inter-, intra-observer variability of these two measurement procedures, and evaluate the degree of concordance between the measures obtained by nurses from those performed by physicians.</p></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0095">Statistical analysis</span><p id="par0090" class="elsevierStylePara elsevierViewall">Continuous variables were expressed as mean (SD) and median (range) according to normality test (Kolmogorov–Smirnov test). The interclass correlation coefficients (ICC) were used to assess the degree of agreement between the M-mode and automatic IVC systems, counting in different rounds of examination, as well as measuring intra-, inter-observer reliability. An ICC of less than 0.50 was considered poor, from 0.50 to 0.75 moderate, 0.75 to 0.90 was considered good and 0.90 to 1 excellent.<a class="elsevierStyleCrossRef" href="#bib0250"><span class="elsevierStyleSup">24</span></a> We assumed an <span class="elsevierStyleItalic">α</span>-value of 0.05 for two-sided hypothesis testing. Mean values were reported along with 95% confidence intervals. Analyses were conducted with the statistical IBM SPSS software v20.0 (SPSS Inc., Chicago, IL, USA).</p></span></span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0100">Results</span><p id="par0095" class="elsevierStylePara elsevierViewall">A total of 120 M-mode and 120 automatic measurements of the IVC were obtained.</p><p id="par0100" class="elsevierStylePara elsevierViewall">The IVC maximum diameter ranged from 15.4 to 30.9<span class="elsevierStyleHsp" style=""></span>mm and minimum diameter from 7.2 to 27.6<span class="elsevierStyleHsp" style=""></span>mm for the M-mode system and maximum diameter from 12.2 to 24.4<span class="elsevierStyleHsp" style=""></span>mm and minimum diameter from 7.4 to 22.0<span class="elsevierStyleHsp" style=""></span>mm for the automatic system.</p><p id="par0105" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#fig0010">Fig. 2</a> shows examples of measurements in M-mode (A) and automatic measurement (B) of the IVC.</p><elsevierMultimedia ident="fig0010"></elsevierMultimedia><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0105">Degree of concordance between the M-mode and automatic measurement methods of IVC</span><p id="par0110" class="elsevierStylePara elsevierViewall">The global degree of concordance between the M-mode and automatic measurements in all US assessments is summarized in <a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>. The agreement in the M-mode was considered good (ICC 0.885), whereas in the automatic was excellent (ICC 0.906).</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia></span><span id="sec0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0110">Inter- and intra-observer reliability of the M-mode and automatic system measurement of IVC</span><p id="par0115" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a> shows the intra-observer reliability of each operator with the M-mode and automatic systems. All ICC showed a moderate to excellent degree of concordance. The same ultrasonographer improved the ICC with the automatic system to moderate (ICC from 0.483 to 0.614).</p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><p id="par0120" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a> shows the inter-observer reliability for the M-mode and the automatic methods, being the ICC excellent.</p><elsevierMultimedia ident="tbl0015"></elsevierMultimedia></span><span id="sec0055" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0115">Time consumption of M-mode and automatic system measurement of IVC</span><p id="par0125" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#tbl0020">Table 4</a> shows the time recorded for each measurement, for the M-mode and automatic methods, which was approximately 40–50% faster in the automatic system (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.001).</p><elsevierMultimedia ident="tbl0020"></elsevierMultimedia></span></span><span id="sec0060" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0120">Discussion</span><p id="par0130" class="elsevierStylePara elsevierViewall">Of all drugs administered in the ED, IV fluids are one of the most common and yet we rely on commonly imprecise methods, such as physical exam, blood pressure or laboratory analysis, to guide this therapy,<a class="elsevierStyleCrossRef" href="#bib0255"><span class="elsevierStyleSup">25</span></a> exposing patients to heightened morbidity and mortality. Moreover, we find a poor concordance agreement between history and physical findings assessed by similar professionals.<a class="elsevierStyleCrossRef" href="#bib0215"><span class="elsevierStyleSup">17</span></a> In order to improve IV fluid prescription and minimize treatment harm, it is imperative the recognition of a multidisciplinary team, including physicians, pharmacists and nurses.<a class="elsevierStyleCrossRef" href="#bib0260"><span class="elsevierStyleSup">26</span></a></p><p id="par0135" class="elsevierStylePara elsevierViewall">Our findings are similar to other nurse delivered ultrasound studies published on this matter.<a class="elsevierStyleCrossRefs" href="#bib0205"><span class="elsevierStyleSup">15,19–21</span></a> In the study by Hutchings et al.,<a class="elsevierStyleCrossRef" href="#bib0225"><span class="elsevierStyleSup">19</span></a> they found a good correlation between the attending physician and six critical care nurses for IVC diameter (<span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.90, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.001). More interestingly, Dalen et al.<a class="elsevierStyleCrossRef" href="#bib0205"><span class="elsevierStyleSup">15</span></a> reported a high reliability of hand-held ultrasound devices performed by nurses to assess end-expiratory dimension IVC (<span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.89; 95% CI 0.81–0.95, <span class="elsevierStyleItalic">p</span>-value<span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.001) and end-inspiratory dimension IVC (<span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.79; 95% CI 0.57–0.93, <span class="elsevierStyleItalic">p</span>-value <<span class="elsevierStyleHsp" style=""></span>0.001) in 62 patients in a heart failure clinic. In another study,<a class="elsevierStyleCrossRef" href="#bib0235"><span class="elsevierStyleSup">21</span></a> a nurse performed 60 IVC ultrasounds on 10 patients receiving hemodyalysis, they reported a good ICC of 0.79 (95% CI 50.63–0.87). In the study of De Lorenzo and Holbrook-Emmons,<a class="elsevierStyleCrossRef" href="#bib0210"><span class="elsevierStyleSup">16</span></a> they showed that after a 3.5<span class="elsevierStyleHsp" style=""></span>h training, fourteen nurses without ultrasound experience showed good correlation measuring the IVC (<span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.68; 95% CI 0.35, 0.76) on a set of three ED patients.</p><p id="par0140" class="elsevierStylePara elsevierViewall">These findings are novel and useful, since they suggest that novice professionals with little training can perform the basic assessment of the IVC in a short time, with results that were comparable to experienced sonographers. This may be especially valuable in the ED.</p><p id="par0145" class="elsevierStylePara elsevierViewall">Moreover, in the automatic system, the measures were more reliable within the novice ultrasonographers group and globally, the measures were completed almost a 50% faster.</p><p id="par0150" class="elsevierStylePara elsevierViewall">This research group proposes along with physical examination and while waiting for laboratory results, a strategy where POCUS should be performed as a first-line imaging test in any ED patient where an intravenous fluid initiation is indicated, especially and strongly indicated in shock or heart failure patients. Our study adds new information that may have practical implications. We demonstrate that inexperienced ED Nurses can effectively learn and perform the IVC measurement, and with auto-IVC, it is more feasible to implement this technique in our daily practice, in combination with physical exam parameters (i.e., blood pressure, heart rate, etc.).</p><p id="par0155" class="elsevierStylePara elsevierViewall">To the best of our knowledge, this is the first study evaluating the agreement between the M-mode and the automatic IVC measurement systems, which showed a good to excellent the inter- and intra-observer concordance between experts and novice ultrasonographers.</p><p id="par0160" class="elsevierStylePara elsevierViewall">We acknowledge some study limitations. First of all, a small and convenience sample of healthy volunteers from our ED were enrolled and did not record any demographic data. We showed the advantages of the good reproducibility, low variability, less operator training, and time savings of this automatic system, however it still remains to be demonstrated in future studies whether widely implementing this system and measurement might impact the management of our patients and therefore the prognosis. Generalizing our findings to acute and sicker patients is therefore limited, this would mean more variety in individual differences, and ought to be evaluated in future studies. Secondly, as this is a pilot study, only four novice sonographers (2 physician and 2 nurses) were chosen to perform the exam, future studies should investigate if the skill can be mastered by a greater number of novice sonographers. Our study aimed to describe the ability of novice sonographers to learn and apply the technique in a controlled fashion, therefore, we have not considered overcrowding factors in the ED that could delay a complete examination. Nevertheless, the main purpose of our study was to compare the capability in the acquisition of IVC measures, and not the interpretation skills.</p><p id="par0165" class="elsevierStylePara elsevierViewall">Although, these limitations are important, we believe that integrating the IVC in our current practice is appropriate as it addresses more physiologically the assessment of the volume status.</p></span><span id="sec0065" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0125">Conclusion</span><p id="par0170" class="elsevierStylePara elsevierViewall">In conclusion, our study results suggest that performing an automatic measurement of the IVC by novice ultrasonographers (nurses or physicians) could be feasible in the ED.</p><p id="par0175" class="elsevierStylePara elsevierViewall">Automatic measurement system was consistent with M-mode measurement system, as performed by experts or novice in the field. Both systems showed a high the inter- and intra-observer reliability, but the automatic system was significantly faster, which would allow us to more effectively implement this approach in our daily practice.</p></span><span id="sec0070" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0130">Authors’ contribution</span><p id="par0180" class="elsevierStylePara elsevierViewall">Conception and design: YTC, TVV. Analysis and interpretation: YTC. Data collection: YTC, IAB, TVV, AMQ, CHB, LVV, DRL. Writing the article: YTC. Critical revision of the article: YTC, IAB, TVV, AMQ, CHB, LVV, RMA, DRL. Final approval of the article: YTC, IAB, TVV, AMQ, CHB, LVV, RMA, DRL. Statistical analysis: YTC. Overall responsibility: YTC, IAB, TVV, AMQ, CHB, LVV, RMA.</p></span><span id="sec0075" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0135">Data access and responsibility</span><p id="par0185" class="elsevierStylePara elsevierViewall">The principal investigator, Yale Tung Chen, had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.</p></span><span id="sec0080" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0140">Funding</span><p id="par0190" class="elsevierStylePara elsevierViewall">This research received no external funding.</p></span><span id="sec0085" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0145">Conflict of interest</span><p id="par0195" class="elsevierStylePara elsevierViewall">The authors have declared no conflicts of interest.</p></span></span>" "textoCompletoSecciones" => array:1 [ "secciones" => array:14 [ 0 => array:3 [ "identificador" => "xres1733399" "titulo" => "Abstract" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Purpose" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Methods" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Results" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Conclusions" ] ] ] 1 => array:2 [ "identificador" => "xpalclavsec1529598" "titulo" => "Keywords" ] 2 => array:3 [ "identificador" => "xres1733400" "titulo" => "Resumen" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0025" "titulo" => "Propósito" ] 1 => array:2 [ "identificador" => "abst0030" "titulo" => "Métodos" ] 2 => array:2 [ "identificador" => "abst0035" "titulo" => "Resultados" ] 3 => array:2 [ "identificador" => "abst0040" "titulo" => "Conclusiones" ] ] ] 3 => array:2 [ "identificador" => "xpalclavsec1529599" "titulo" => "Palabras clave" ] 4 => array:2 [ "identificador" => "sec0005" "titulo" => "Introduction" ] 5 => array:3 [ "identificador" => "sec0010" "titulo" => "Patients and methods" "secciones" => array:5 [ 0 => array:2 [ "identificador" => "sec0015" "titulo" => "Patient selection" ] 1 => array:2 [ "identificador" => "sec0020" "titulo" => "Study protocol" ] 2 => array:2 [ "identificador" => "sec0025" "titulo" => "Ultrasound studies" ] 3 => array:2 [ "identificador" => "sec0030" "titulo" => "Outcome measures and definitions" ] 4 => array:2 [ "identificador" => "sec0035" "titulo" => "Statistical analysis" ] ] ] 6 => array:3 [ "identificador" => "sec0040" "titulo" => "Results" "secciones" => array:3 [ 0 => array:2 [ "identificador" => "sec0045" "titulo" => "Degree of concordance between the M-mode and automatic measurement methods of IVC" ] 1 => array:2 [ "identificador" => "sec0050" "titulo" => "Inter- and intra-observer reliability of the M-mode and automatic system measurement of IVC" ] 2 => array:2 [ "identificador" => "sec0055" "titulo" => "Time consumption of M-mode and automatic system measurement of IVC" ] ] ] 7 => array:2 [ "identificador" => "sec0060" "titulo" => "Discussion" ] 8 => array:2 [ "identificador" => "sec0065" "titulo" => "Conclusion" ] 9 => array:2 [ "identificador" => "sec0070" "titulo" => "Authors’ contribution" ] 10 => array:2 [ "identificador" => "sec0075" "titulo" => "Data access and responsibility" ] 11 => array:2 [ "identificador" => "sec0080" "titulo" => "Funding" ] 12 => array:2 [ "identificador" => "sec0085" "titulo" => "Conflict of interest" ] 13 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2021-02-17" "fechaAceptado" => "2021-04-12" "PalabrasClave" => array:2 [ "en" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec1529598" "palabras" => array:5 [ 0 => "Ultrasonography" 1 => "Inferior vena cava" 2 => "Artificial intelligence" 3 => "Automatic measurement" 4 => "Nursing" ] ] ] "es" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Palabras clave" "identificador" => "xpalclavsec1529599" "palabras" => array:5 [ 0 => "Ecografía clínica" 1 => "Vena cava inferior" 2 => "Inteligencia artificial" 3 => "Medición automatizada" 4 => "Enfermería" ] ] ] ] "tieneResumen" => true "resumen" => array:2 [ "en" => array:3 [ "titulo" => "Abstract" "resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Purpose</span><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">We aimed to study the concordance between the M-mode and the automatic measurement systems of the IVC.</p></span> <span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Methods</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">We recruited five healthy volunteers. Two expert ultrasonographers (2 ED physicians), and four novices (2 ED physicians and 2 ED nurses) performed a manual (M-mode) and an automatic measurement of the maximum and minimum IVC diameter of each volunteer in the supine position. All examinations were blindly and consecutively performed using a GE VENUE ultrasound (GE Healthcare). The same measurement was then repeated in a second round.</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Results</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">Concordance between the M-mode and automatic measurements in all US assessments was at least good [intraclass correlation coefficient (ICC) .786–.948; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>.001]. Intra-observer reliability was at least moderate in automatic system measures [ICC .614–.973], slightly better than in M-mode [ICC .483–.940], especially useful when performed by novice ultrasonographers. Inter-observer reliability was good for both methods [ICC .839–.919, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>.001]. The automatic measurement method was approximately 50% faster than the M-mode method (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>.001).</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Conclusions</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">In this pilot study, the automatic measurement method was consistent with the M-mode measurement method, as performed by experts or novices. Both methods showed high intra-, inter-observer reliability, but the automatic system was significantly faster, which would allow us to implement this approach more effectively in our daily practice.</p></span>" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Purpose" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Methods" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Results" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Conclusions" ] ] ] "es" => array:3 [ "titulo" => "Resumen" "resumen" => "<span id="abst0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0035">Propósito</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">Nuestro objetivo fue estudiar la concordancia entre el modo M y los sistemas automatizados de medición de la VCI.</p></span> <span id="abst0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">Métodos</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">Reclutamos a 5 voluntarios sanos. Dos expertos (2 urgenciólogos) y 4 novatos o inexpertos (2 urgenciólogos y 2 enfermeras de urgencias) realizaron ciegamente, de forma independiente y consecutiva, una medida de los diámetros máximo y mínimo de la VCI en modo M de cada voluntario. Posteriormente se realizó una medición automática de los diámetros máximos y mínimos. Se repitió una segunda ronda de todas las medidas, tanto en modo M como automatizada.</p></span> <span id="abst0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Resultados</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">El grado de concordancia entre el modo M y la medición automática de la VCI fue de buena a excelente (coeficiente de correlación intraclase [CCI] 0,786-0,948, p<span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0,001). La fiabilidad intraobservador fue moderada a excelente en las medidas del sistema automático [CCI 0,614-0,973], ligeramente mejor que las medidas en modo M [CCI 0,483-0,940] y especialmente útil cuando lo realizó el personal novato. La fiabilidad entre observadores fue de buena a excelente para ambos sistemas en ambas rondas (CCI 0.839-0.919, p<span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0,001). El sistema de medición automática fue aproximadamente un 50% más rápido que la medición en modo M (p<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0,001).</p></span> <span id="abst0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Conclusiones</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">El sistema de medición automática fue concordante con el sistema de medición en modo M, realizado tanto por expertos como por novatos. Ambos sistemas mostraron una alta fiabilidad intra e interobservador, pero el sistema automático fue significativamente más rápido, lo que nos permitiría implementar este parámetro más eficazmente en nuestra práctica diaria.</p></span>" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0025" "titulo" => "Propósito" ] 1 => array:2 [ "identificador" => "abst0030" "titulo" => "Métodos" ] 2 => array:2 [ "identificador" => "abst0035" "titulo" => "Resultados" ] 3 => array:2 [ "identificador" => "abst0040" "titulo" => "Conclusiones" ] ] ] ] "NotaPie" => array:2 [ 0 => array:3 [ "etiqueta" => "1" "nota" => "<p class="elsevierStyleNotepara" id="npar0010">Twitter: @yaletung.</p>" "identificador" => "fn0005" ] 1 => array:2 [ "etiqueta" => "☆" "nota" => "<p class="elsevierStyleNotepara" id="npar0005">All authors read and approved the final manuscript. This work has not been supported by public grants or financial support. No sources of funding were used to assist in the preparation of this study. Each author certifies that he has no commercial associations that might pose a conflict of interest in connection with the submitted article. We certify that this research was conducted in conformity with ethical principles of our institution. This work, figures and tables, have not been previously published and reproduced from another source.</p>" ] ] "multimedia" => array:6 [ 0 => array:7 [ "identificador" => "fig0005" "etiqueta" => "Figure 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 1397 "Ancho" => 2925 "Tamanyo" => 336501 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Study selection flow diagram.</p>" ] ] 1 => array:7 [ "identificador" => "fig0010" "etiqueta" => "Figure 2" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr2.jpeg" "Alto" => 707 "Ancho" => 2175 "Tamanyo" => 138263 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">Ultrasonography of the inferior vena cava (IVC), measurement with M-mode (A) and with automatic software (B).</p>" ] ] 2 => array:8 [ "identificador" => "tbl0005" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at1" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:2 [ "leyenda" => "<p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">ICC, intraclass correlation coefficient; CI, confidence interval; IVC, inferior vena cava; <span class="elsevierStyleItalic">n</span>, number of IVC measurements.</p>" "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" style="border-bottom: 2px solid black"> \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">n</span> \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">ICC (95% CI) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span>-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-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">All \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">240 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.904 (0.848–0.944) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">M-mode \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">120 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.885 (0.786–0.948) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Automatic \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">120 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.906 (0.821–0.958) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">Agreement between M-mode and automatic measurement.</p>" ] ] 3 => array:8 [ "identificador" => "tbl0010" "etiqueta" => "Table 2" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at2" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:2 [ "leyenda" => "<p id="spar0070" class="elsevierStyleSimplePara elsevierViewall">ICC, intraclass correlation coefficient; CI, confidence interval; IVC, inferior vena cava; <span class="elsevierStyleItalic">n</span>, number of IVC measurements.</p>" "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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Ultrasonographer \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">n</span> \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">ICC (95% CI) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span>-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 " colspan="4" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">M-mode system</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Expert physician 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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">20 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.876 (0.502–0.969) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">0.002</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Expert physician 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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">20 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.940 (0.760–0.985) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Novice nurse 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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">20 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.649 (-0.414–0.913) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.068 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Novice nurse 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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">20 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.483 (-1.081–0.872) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.170 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Novice physician 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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">20 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.653 (-0.395–0.914) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.065 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Novice physician 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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">20 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.917 (0.667–0.979) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \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 " colspan="4" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="4" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Automatic system</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Expert physician 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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">20 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.821 (0.272–0.956) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">0.011</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Expert physician 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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">20 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.973 (0.892–0.993) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Novice nurse 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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">20 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.713 (-0.254–0.930) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">0.047</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Novice nurse 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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">20 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.942 (0.764–0.986) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Novice physician 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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">20 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.614 (-0.718–0.906) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.098 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Novice physician 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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">20 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.870 (0.487–0.967) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">0.003</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">Intra-observer reliability of M-mode and automatic inferior vena cava (IVC) measurement.</p>" ] ] 4 => array:8 [ "identificador" => "tbl0015" "etiqueta" => "Table 3" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at3" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:2 [ "leyenda" => "<p id="spar0080" class="elsevierStyleSimplePara elsevierViewall">ICC, intraclass correlation coefficient; CI, confidence interval; IVC, inferior vena cava; M, M-mode; <span class="elsevierStyleItalic">n</span>, number of IVC measurements.</p>" "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" style="border-bottom: 2px solid black"> \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">n</span> \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">ICC (95% CI) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span>-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 " colspan="4" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">M-mode system</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Round 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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.839 (0.619–0.953) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Round 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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.919 (0.809–0.977) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \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 " colspan="4" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="4" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Automatic system</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Round 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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.913 (0.794–0.975) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Round 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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.908 (0.781–0.973) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0075" class="elsevierStyleSimplePara elsevierViewall">Inter-observer reliability of M-mode and automatic inferior vena cava (IVC) measurement.</p>" ] ] 5 => array:8 [ "identificador" => "tbl0020" "etiqueta" => "Table 4" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at4" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:2 [ "leyenda" => "<p id="spar0090" class="elsevierStyleSimplePara elsevierViewall">A, automatic; CI, confidence interval; IVC, inferior vena cava; M, M-mode; <span class="elsevierStyleItalic">n</span>, number of IVC measurements; sec, seconds.</p>" "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" style="border-bottom: 2px solid black"> \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">n</span> \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">TIME sec (95% CI) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span>-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 " colspan="4" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Round 2</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">M-mode (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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">30 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">46.6 (40.8–53.5) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Automatic (A) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">30 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">28.5 (23.4–35.0) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Difference M-A \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">30 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">18.1 (10.5–25.7) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">0.001</span> \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 " colspan="4" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="4" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Round 2</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">M-mode (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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">30 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">42.7 (38.2–47.6) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Automatic (A) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">30 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">23.7 (20.8–26.9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Difference M-A \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">30 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">19.0 (15.4–23.5) \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="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0085" class="elsevierStyleSimplePara elsevierViewall">Mean time to measure the inferior vena cava with each system (automatic and M-mode) in each round.</p>" ] ] ] "bibliografia" => array:2 [ "titulo" => "References" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "bibs0015" "bibliografiaReferencia" => array:26 [ 0 => array:3 [ "identificador" => "bib0135" "etiqueta" => "1" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Will this hemodynamically unstable patient respond to a bolus of intravenous fluids?" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:6 [ 0 => "P. Bentzer" 1 => "D.E. Griesdale" 2 => "J. Boyd" 3 => "K. MacLean" 4 => "D. Sirounis" 5 => "N.T. Ayas" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1001/jama.2016.12310" "Revista" => array:5 [ "tituloSerie" => "JAMA" "fecha" => "2016" "volumen" => "316" "paginaInicial" => "1298" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/27673307" "web" => "Medline" ] ] ] ] ] ] ] ] 1 => array:3 [ "identificador" => "bib0140" "etiqueta" => "2" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Incorporating dynamic assessment of fluid responsiveness into goal-directed therapy: a systematic review and meta-analysis" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "J.M. Bednarczyk" 1 => "J.A. Fridfinnson" 2 => "A. Kumar" 3 => "L. Blanchard" 4 => "R. Rabbani" 5 => "D. 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