Original article
Diagnostic ability of Chronic Kidney Disease Epidemiology Collaboration and Modification of Diet in Renal Disease-4 equations to estimate glomerular filtration rate in with multimorbidity patients
Capacidad diagnóstica de las ecuaciones Chronic Kidney Disease Epidemiology Collaboration y Modification of Diet in Renal Disease-4 en la estimación del filtrado glomerular en pacientes pluripatológicos
José Luis Cabrerizo-Garcíaa,
, Jesús Díez-Manglanob, Ernesto García-Arillac, Paz Revillo-Pinillad, José Ramón-Puertasa, Mariano Sebastián-Royoa, on behalf of the researchers from the PLUPAR study ◊
Corresponding author
a Servicio de Medicina Interna, Hospital General de la Defensa, Zaragoza, Spain
b Servicio de Medicina Interna, Hospital Royo Villanova, Zaragoza, Spain
c Servicio de Geriatría, Hospital Nuestra Señora de Gracia, Zaragoza, Spain
d Servicio de Medicina Interna, Hospital Universitario Miguel Servet, Zaragoza, Spain
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El eje Y representa la diferencia entre medidas (FG<span class="elsevierStyleInf">CKD-EPI</span>-FG<span class="elsevierStyleInf">MDRD</span>) en valores absolutos junto a su media e intervalo de confianza de 95%; y en el eje X está la media de las variable confrontadas [(FG<span class="elsevierStyleInf">CKD-EPI</span><span class="elsevierStyleHsp" style=""></span>+<span class="elsevierStyleHsp" style=""></span>FG<span class="elsevierStyleInf">MDRD</span>)/2]</p> <p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">FG<span class="elsevierStyleInf">CKD-EPI</span>: filtrado glomerular estimado utilizando la ecuación <span class="elsevierStyleItalic">Chronic Kidney Disease Epidemiology Collaboration;</span> FG<span class="elsevierStyleInf">MDRD</span>: filtrado glomerular estimado utilizando la versión clásica de la ecuación <span class="elsevierStyleItalic">Modification of Diet in Renal Disease</span>.</p>" ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "José Luis Cabrerizo-García, Jesús Díez-Manglano, Ernesto García-Arilla, Paz Revillo-Pinilla, José Ramón-Puertas, Mariano Sebastián-Royo" "autores" => array:7 [ 0 => array:2 [ "nombre" => "José Luis" "apellidos" => "Cabrerizo-García" ] 1 => array:2 [ "nombre" => "Jesús" "apellidos" => "Díez-Manglano" ] 2 => array:2 [ "nombre" => "Ernesto" "apellidos" => "García-Arilla" ] 3 => array:2 [ "nombre" => "Paz" "apellidos" => "Revillo-Pinilla" ] 4 => array:2 [ "nombre" => "José" "apellidos" => "Ramón-Puertas" ] 5 => array:2 [ "nombre" => "Mariano" "apellidos" => "Sebastián-Royo" ] 6 => array:1 [ "colaborador" => "en representación de los investigadores del estudio PLUPAR" ] ] ] ] ] "idiomaDefecto" => "es" "Traduccion" => array:1 [ "en" => array:9 [ "pii" => "S2387020615000042" "doi" => "10.1016/j.medcle.2013.09.001" "estado" => "S300" "subdocumento" => "" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:1 [ "total" => 0 ] "idiomaDefecto" => "en" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S2387020615000042?idApp=UINPBA00004N" ] ] "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S0025775313006507?idApp=UINPBA00004N" "url" => "/00257753/0000014400000001/v1_201412160101/S0025775313006507/v1_201412160101/es/main.assets" ] ] "itemSiguiente" => array:19 [ "pii" => "S2387020615000029" "issn" => "23870206" "doi" => "10.1016/j.medcle.2014.01.001" "estado" => "S300" "fechaPublicacion" => "2015-01-06" "aid" => "2870" "copyright" => "Elsevier España, S.L.U." 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The <span class="elsevierStyleItalic">Y</span>-axis represents the difference between measurements (GFR<span class="elsevierStyleInf">CKD-EPI</span><span class="elsevierStyleHsp" style=""></span>−<span class="elsevierStyleHsp" style=""></span>GFR<span class="elsevierStyleInf">MDRD</span>) in percentages together with their means and 95% confidence intervals; the <span class="elsevierStyleItalic">X</span>-axis shows the mean of contrasted variables [(GF<span class="elsevierStyleInf">CKD-EPI</span><span class="elsevierStyleHsp" style=""></span>+<span class="elsevierStyleHsp" style=""></span>GF<span class="elsevierStyleInf">MDRD</span>)/2]. GFR<span class="elsevierStyleInf">CKD-EPI</span>: glomerular filtration rate estimated using the Chronic Kidney Disease Epidemiology Collaboration equation; GFR<span class="elsevierStyleInf">MDRD</span>: glomerular filtration rate estimated using the classic version of the Modification of Diet in Renal Disease equation.</p>" ] ] ] "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0065"><span class="elsevierStyleSmallCaps">I</span>ntroduction</span><p id="par0005" class="elsevierStylePara elsevierViewall">The greater life expectancy in our society has been accompanied by an increase in comorbidity and chronic diseases. An estimated 31% of the population will be older than 65 years by the year 2050.<a class="elsevierStyleCrossRef" href="#bib0140"><span class="elsevierStyleSup">1</span></a></p><p id="par0010" class="elsevierStylePara elsevierViewall">The coexistence of two or more chronic diseases predisposes people to clinical frailty and decreased autonomy and functional capacity, which are the components defining the polypathological patient (PP) according to the Expert Committee of the Regional Government of Andalusia of 2007.<a class="elsevierStyleCrossRef" href="#bib0145"><span class="elsevierStyleSup">2</span></a> These patients have higher mortality and resource consumption and constitute 1.4% of the general population and 30% of patients admitted to internal medicine departments.<a class="elsevierStyleCrossRef" href="#bib0145"><span class="elsevierStyleSup">2</span></a> Renal function assessment is important in patients with a high comorbidity burden, helps clinicians to adjust treatment, and prevents additional renal damage in a frequently polymedicated collective.</p><p id="par0015" class="elsevierStylePara elsevierViewall">The most exact way to calculate the glomerular filtration rate (GFR) is through direct inulin measurements or isotopic methods that are expensive and not very practical in routine clinical practice. Determination of serum creatinine or 24-h urinary creatinine may be highly variable due to numerous factors unrelated to renal function <span class="elsevierStyleItalic">per se</span>.<a class="elsevierStyleCrossRefs" href="#bib0150"><span class="elsevierStyleSup">3,4</span></a></p><p id="par0020" class="elsevierStylePara elsevierViewall">The use of formulas is the best way to estimate GFR in routine clinical practice, in renal function assessment, in isolated determinations,<a class="elsevierStyleCrossRefs" href="#bib0160"><span class="elsevierStyleSup">5–7</span></a> as well as in the diagnosis, classification and prognosis of renal disease.<a class="elsevierStyleCrossRefs" href="#bib0175"><span class="elsevierStyleSup">8,9</span></a></p><p id="par0025" class="elsevierStylePara elsevierViewall">To simplify the process, several formulas have been designed, such as the Cockcroft–Gault formula<a class="elsevierStyleCrossRef" href="#bib0185"><span class="elsevierStyleSup">10</span></a> and the Modification of Diet in Renal Disease (MDRD)<a class="elsevierStyleCrossRef" href="#bib0190"><span class="elsevierStyleSup">11</span></a> formula. The latter is the formula recommended by most scientific societies.<a class="elsevierStyleCrossRef" href="#bib0155"><span class="elsevierStyleSup">4</span></a> However, its systematic use in the general population has aroused some criticism. The MDRD formula was developed on the basis of patients with renal failure and a mean GFR of 40<span class="elsevierStyleHsp" style=""></span>ml/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>. It seems to have limited correlation with GFR<span class="elsevierStyleHsp" style=""></span>><span class="elsevierStyleHsp" style=""></span>60<span class="elsevierStyleHsp" style=""></span>ml/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>, underestimates results close to 60<span class="elsevierStyleHsp" style=""></span>ml/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>, and assigns a diagnosis of renal disease to many patients with no other data to indicate renal involvement. These considerations represent not only a limitation to therapeutic and diagnostic procedures but also lead to falsely elevated cardiovascular risk and unjustified referrals to nephrology departments.</p><p id="par0030" class="elsevierStylePara elsevierViewall">To improve the results of the MDRD formula, the research group of the National Institute of Diabetes and Digestive and Kidney Disease, the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI),<a class="elsevierStyleCrossRef" href="#bib0195"><span class="elsevierStyleSup">12</span></a> has published a new equation, called the CKD-EPI, which includes patients with and without renal failure with a mean iothalamate clearance of 68<span class="elsevierStyleHsp" style=""></span>ml/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>. According to that study, the CKD-EPI provides better results than the MDRD, with higher precision and accuracy, especially for GFR values<span class="elsevierStyleHsp" style=""></span>><span class="elsevierStyleHsp" style=""></span>60<span class="elsevierStyleHsp" style=""></span>ml/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>. The creators of the equation suggest that it should widely replace the MDRD in laboratories and routine clinical practice.</p><p id="par0035" class="elsevierStylePara elsevierViewall">So far, the new CKD-EPI equation provides, in general, higher GFR values than the MDRD and reclassifies patients assigned by the MDRD to stages with better renal function. The CKD-EP reduces the prevalence of patients in stage 3, reclassifying them as stage 2 and, therefore, reduces false-positive results for chronic renal disease (CRD). However, the use of the CKD-EPI equation in PP is scarce and further confirmation is needed that these results are maintained in populations with specific characteristics, such as the PP population. To that effect, our objective was to compare the estimated GFR (eGFR) values of the new CKD-EPI equation against the classic MDRD-4 equation in a group of PP admitted to geriatrics and internal medicine departments. We analysed the agreement between the two formulas, the classification of patients in different groups depending on their eGFR, and CKD-EPI reclassification of patients previously classified by the MDRD-4.</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0070">Materials and method</span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Design</span><p id="par0040" class="elsevierStylePara elsevierViewall">Cross-sectional, descriptive, observational, multicentre study.</p></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Patients</span><p id="par0045" class="elsevierStylePara elsevierViewall">Data were collected from 425 patients with pluripathology criteria<a class="elsevierStyleCrossRef" href="#bib0145"><span class="elsevierStyleSup">2</span></a> between March 1st and June 30th, 2011. The patients were admitted to the acute geriatrics or internal medicine units of 13 hospitals in Aragón with members of the research group of the PLUPAR study (Spanish acronym for the Care of Polypathological Patients Admitted to Acute Internal Medicine and Geriatrics Units in Aragon). Exclusion criteria consisted of readmissions, in-hospital deaths, lack of the necessary variables, and refusal to participate in the study. Data were collected by qualified medical staff from each department who were specifically trained for the study. The study was evaluated and approved by the Ethics Committee for Research of the Autonomous Community of Aragón. All patients participating in the study signed an informed consent form.</p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Study variables</span><p id="par0050" class="elsevierStylePara elsevierViewall">Clinical variables. Age, sex, and medical history classified according to the eight categories used in the PP patient definition<a class="elsevierStyleCrossRef" href="#bib0145"><span class="elsevierStyleSup">2</span></a>: heart diseases, autoimmune or renal disease, respiratory diseases, gastrointestinal diseases, neurological diseases, symptomatic peripheral arterial disease or diabetes, diseases of the locomotor system, and oncohematological diseases. The presence of polypharmacy (previous consumption of 5–9 drugs) or extreme polypharmacy (≥10 drugs) was also evaluated. At admission, patients were assessed through the following indexes: the Barthel index,<a class="elsevierStyleCrossRef" href="#bib0200"><span class="elsevierStyleSup">13</span></a> the Charlson comorbidity index,<a class="elsevierStyleCrossRef" href="#bib0205"><span class="elsevierStyleSup">14</span></a> the Pfeiffer questionnaire<a class="elsevierStyleCrossRef" href="#bib0210"><span class="elsevierStyleSup">15</span></a> and the PROFUND index.<a class="elsevierStyleCrossRef" href="#bib0215"><span class="elsevierStyleSup">16</span></a> The Barthel index assesses basic activities of daily living the Charlson index evaluates comorbidity. The Pfeiffer questionnaire assesses cognitive functions and the PROFUND index assesses the probability of death after 1 year in PP. Readmissions and mortality were registered during a 1-year follow-up.</p><p id="par0055" class="elsevierStylePara elsevierViewall">Analytical variables. At admission, haemoglobin concentration (g/dl), serum creatinine (mg/dl), and GFR estimation through the MDRD-4<a class="elsevierStyleCrossRef" href="#bib0190"><span class="elsevierStyleSup">11</span></a> and CKD-EPI<a class="elsevierStyleCrossRef" href="#bib0195"><span class="elsevierStyleSup">12</span></a> (ml/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>) formulas were registered. Calculation of the eGFR with both equations was performed independently without one result affecting the other.</p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Statistical analysis</span><p id="par0060" class="elsevierStylePara elsevierViewall">Continuous variables are expressed as mean and standard deviation (SD) and qualitative variables as absolute values and percentages. Five stages were established depending on eGFR (in ml/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>) according to the corresponding CRD studies in line with the National Kidney Foundation-Kidney Disease Outcomes Quality Initiative guidelines from 2002<a class="elsevierStyleCrossRef" href="#bib0175"><span class="elsevierStyleSup">8</span></a>: 1, eGFR values ≥90; 2, between 60 and 89; 3, between 30 and 59; 4, between 15 and 29; and 5, <15<span class="elsevierStyleHsp" style=""></span>ml/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>. The reason for this four-stage classification, from higher to lower eGFR, was to allow better comparison with the results from most of the studies performed on the topic, which divide GFR values according to the cut-off points established for CRD. At the same time, each stage was stratified by sex and the median age of the sample. To carry out the comparisons, we used the analysis of means for paired samples through the Wilcoxon test or Student's <span class="elsevierStyleItalic">t</span>-test depending on whether the distribution was normal or not. Statistical significance was set at <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.05. The strength of the association between the two equations was evaluated for the entire sample and for each of the groups through Spearman's rho correlation coefficient. For the analysis of concordance, that is, the degree of agreement between the values obtained with the two formulas, Lin's concordance coefficient and the Bland–Altman plot were used. This procedure consists of plotting the differences between two measurements with respect to their mean, allowing estimation of the mean difference and limits of agreement with their confidence intervals. Lin's concordance coefficient and Bland–Altman plots were calculated with the MedCalc<span class="elsevierStyleSup">®</span> version 12.7.0.0 statistical program and the remaining analyses were performed with the IBM SPSS Statistics<span class="elsevierStyleSup">®</span> program, version 19.0.</p></span></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0095">Results</span><p id="par0065" class="elsevierStylePara elsevierViewall">The baseline characteristics of the study population are shown in <a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>. The sample consisted of 425 PP with a mean (SD) age of 81.7 (7.9) years, 55.3% of whom were women. A total of 72.5% were from internal medicine departments and 27.5% were from acute geriatrics units. The patients showed moderate cognitive impairment and dependency for basic activities of daily life (a mean score of 4.2 [3.4] in the Pfeiffer questionnaire and of 55.5 [34.9] in the Barthel index), a 1-year probability of death of 45–50% (mean PROFUND index score of 8.9 [4.8]) and an estimated mean 10-year survival rate of 53.39% (mean Charlson index of 4 [1.2]). Notable among the diagnostic categories were cardiac (59.8%) and neurological (46.4%) diseases. More than one-third (33.9%) had chronic renal failure. More than half of the PP were polymedicated, 37.4% died within 1 year, and 52.5% were re-admitted during this period. The mean admission eGFR was 58.6 (26.3)<span class="elsevierStyleHsp" style=""></span>ml/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span> according to the MDRD-4 and was 52.7 (22.9)<span class="elsevierStyleHsp" style=""></span>ml/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span> according to the CKD-EPI (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.001).</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><p id="par0070" class="elsevierStylePara elsevierViewall">In women, the mean eGFR was 5.2<span class="elsevierStyleHsp" style=""></span>ml/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span> and was higher with the MDRD-4 than with CKD-EPI (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.001). In men, the mean eGF was 6.8<span class="elsevierStyleHsp" style=""></span>ml/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>, and was also higher with the MDRD-4 (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.001). Taking the median age of the sample as the reference (83 years), the eGFR calculated by the MDRD-4 was 6.7<span class="elsevierStyleHsp" style=""></span>ml/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span> in patients aged 83 years or older, which was higher than that calculated by the CKD-EPI, and was 5<span class="elsevierStyleHsp" style=""></span>ml/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span> in patients younger than 83 years, again higher than that calculated by the CKD-EPI (both with <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.001).</p><p id="par0075" class="elsevierStylePara elsevierViewall">The prevalence of each stage (1, 2, 3, 4 and 5) according to the MDRD-4 equation was 14.6%, 31.1%, 40.5%, 11.5%, and 2.4%, respectively; the prevalence of these stages according to the CKD-EPI was 3.1%, 36.2%, 41.4%, 16.5%, and 2.8%, respectively. When considering the five stages, the mean eGFR calculated by the two equations differed significantly in the five stages and in all the subgroups, except in men in stage 5 and in patients younger than 83 years in stage 5.</p><p id="par0080" class="elsevierStylePara elsevierViewall">The Spearman's rho correlation coefficient for GFR calculated by the MDRD-4 and CKD-EPI was 0.993, i.e., the correlation was strong. The correlation between the two formulas was strong in all stages and subgroups, except in stage 1 in the sample as a whole and in each of the subgroups. Notably, in women in stage 1, the correlation was negative or inverse.</p><p id="par0085" class="elsevierStylePara elsevierViewall">The concordance, or the strength of agreement between the eGFR values given by the two equations for the sample as a whole was moderate (Lin's concordance coefficient, 0.948). Concordance was also moderate in all subgroups, with no differences by stage. After stratifying the sample by eGFR (stages 1, 2, 3, 4 and 5), sex and age, all the resulting subgroups showed poor concordance, except for the subgroup of patients younger than 83 years and stages 2 and 3, which showed moderate concordance (<a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>). <a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a> shows the Bland–Altman plot for the different stages of renal function. In all groups, eGFR decreased when the CKD-EPI was used, and this difference was percentually higher in stages 1, 4 and 5.</p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><elsevierMultimedia ident="tbl0015"></elsevierMultimedia><p id="par0090" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#tbl0020">Table 4</a> shows a more detailed concordance analysis for the entire sample, also including age and sex variables. Taking the classification established by MDRD-4 as the reference, the table shows patient reclassification by the CKD-EPI and, in the case of discordance, the stage in which they were reclassified. In all cases, concordance increased as renal function worsened, the highest concordance being found in stages 3, 4, and 5. However, the results for stage 5 should be interpreted with caution due to the small number of patients. Discordant cases were reclassified by the CKD-EPI in lower GFR stages, except in one case. Taking the MDRD-4 as the reference, 102 patients (24%) in the sample as a whole were reclassified by the CKD-EPI, almost all of them in lower eGFR stages. In stages 4 and 5, the degree of concordance was higher than 87% and 100%, respectively, in all cases regardless of age or sex. In stage 3, concordance ranged between 76.9% and 94.7% and was higher in PP<span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>83 years, and all except one were reclassified to stage 4. In stage 2, 21.2% of the patients were reclassified as having an eGFR of 30–59<span class="elsevierStyleHsp" style=""></span>ml/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>, with women aged 83 years or older being the most frequently reclassified subgroup. Finally, in stage 1, a substantial percentage of patients in all subgroups were reclassified to stage 2. In conclusion, the new CKD-EPI equation worsens, in general, the degree of renal failure in PP regardless of age and sex.</p><elsevierMultimedia ident="tbl0020"></elsevierMultimedia><p id="par0095" class="elsevierStylePara elsevierViewall">To supplement the concordance study, we constructed Bland–Altman plots. <a class="elsevierStyleCrossRef" href="#fig0005">Fig. 1</a> shows that eGFR values were a mean of 5.9<span class="elsevierStyleHsp" style=""></span>ml/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span> lower with the CKD-EPI than with the MDRD-4 (confidence interval, 5 to −16.8). <a class="elsevierStyleCrossRef" href="#fig0010">Fig. 2</a> shows that eGFR was 10.5% lower with the CKD-EPI, and could even be 21.7% lower (confidence interval, 0.7% to −21.7%).</p><elsevierMultimedia ident="fig0005"></elsevierMultimedia><elsevierMultimedia ident="fig0010"></elsevierMultimedia></span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0100">Discussion</span><p id="par0100" class="elsevierStylePara elsevierViewall">Our results show that the overall concordance or strength of agreement between the two equations was moderate for the sample as a whole as well as for age and sex subgroups. However, when the sample was stratified divided by stages and, in turn, the stages were stratified by age and sex, the subgroups generally showed poor concordance. The variation in the GFR values with both formulas was not inconsiderable and the confidence intervals of the Bland–Altman analysis were, from the clinical point of view, too broad to allow us to conclude that the two formulas offer equivalent results in PP. In stage 2, eGFR values decreased by 7% when the CKD-EPI was used and therefore this formula would reclassify some of these patients as stage 3, which could increase the prevalence of renal failure. After observing that the CKD-EPI systematically provided lower values than MDRD-4, and that this difference was clinically relevant, we constructed <a class="elsevierStyleCrossRef" href="#tbl0020">Table 4</a>, which shows the proportion of patients reclassified and in which direction. As expected, almost 100% of the reclassified patients were transferred to lower eGFR stages, that is, stages with greater renal dysfunction. Taking the entire sample as the reference, 27 treated patients were reclassified from stage 2 to 3; therefore, the use of the CKD-EPI would increase the prevalence of renal failure by 6.4%, if a renal lesion were detected or the results were confirmed within 3 months. When the different groups were analysed after the sample had been stratified by age and sex, we found the highest proportion of patients reclassified to higher renal dysfunction stages in the group of women aged 83 years or older. Importantly, the CKD-EPI equation was compared with another pre-existing equation and not with a previously established and accurate method such as inulin (<span class="elsevierStyleItalic">gold-standard</span>), molecules labelled with radioactive isotopes (<span class="elsevierStyleSup">99Tm</span>Tc-DTPA, <span class="elsevierStyleSup">51</span>Cr-EDTA, <span class="elsevierStyleSup">125</span>I-iothalamate) or other non-isotopic molecules such as iohexol or iothalamate.<a class="elsevierStyleCrossRef" href="#bib0155"><span class="elsevierStyleSup">4</span></a> Therefore, we cannot discuss the precision or accuracy of either of the formulas, only their concordance in eGFR calculation.</p><p id="par0105" class="elsevierStylePara elsevierViewall">In the PP group, these results contradict the data on the new CKD-EPI equation, which, in general, decreases the prevalence of renal disease, especially in women, reducing the number of MDRD stage 3 false positives when reclassifying some of these patients to higher stages. In the NHANES study (1999–2006), a 1.6% decrease in the prevalence of renal disease was observed due to fewer patients being classified by MDRD in stage 3.<a class="elsevierStyleCrossRef" href="#bib0195"><span class="elsevierStyleSup">12</span></a> Montañés Bermúdez et al.<a class="elsevierStyleCrossRef" href="#bib0220"><span class="elsevierStyleSup">17</span></a> observed that the CKD-EPI yields higher eGFR values than the MDRD. In that study, patient reclassification was produced in stage 3B, where 9.8% were reclassified as 3A, and in stage 3A, where 17% were reclassified as stage 2. The movements to higher eGFR subgroups were more noteworthy in patients younger than 70 years. Similar results have been reported by other authors.<a class="elsevierStyleCrossRefs" href="#bib0225"><span class="elsevierStyleSup">18,19</span></a> Moreover, patients “rescued” from stage 3 to 2 by CKD-EPI seem to have low cardiovascular risk, below that in patients who remain in the eGFR group of 30–59<span class="elsevierStyleHsp" style=""></span>ml/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>.<a class="elsevierStyleCrossRefs" href="#bib0235"><span class="elsevierStyleSup">20–22</span></a> These results contradict those observed in the present study.</p><p id="par0110" class="elsevierStylePara elsevierViewall">In line with other studies,<a class="elsevierStyleCrossRef" href="#bib0230"><span class="elsevierStyleSup">19</span></a> our study does not confirm that the CKD-EPI reduces the false-positive rate in MDRD stage 3. When applied to PP, the new equation gives lower eGFR values than the MDRD-4. Far from reducing the number of patients with GFR 30–59<span class="elsevierStyleHsp" style=""></span>ml/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>, the CKD-EPI broadens this group and would increase the prevalence of renal failure.</p><p id="par0115" class="elsevierStylePara elsevierViewall">We believe that one reason for the discrepancy in our results compared with those of other authors could be the age of the patients included. The mean age of our patients was 81.7 years and 91.8% were older than 70 years compared with a mean age of 47 years in the study by Levey et al.,<a class="elsevierStyleCrossRef" href="#bib0195"><span class="elsevierStyleSup">12</span></a> in which only 3.7% were older than 70 years. In that study, the scarce representation of patients of advanced age is mentioned as a limitation. This could raise doubts on the concordance between the two formulas in older patients with more than one serious disease. Some authors have started to assess the CKD-EPI equation in older patients.<a class="elsevierStyleCrossRefs" href="#bib0250"><span class="elsevierStyleSup">23,24</span></a> We believe that several factors influenced the reclassification of patients from group 1 to 2, especially in the oldest patients, namely the widespread tendency of the total number of PP to be reclassified in lower GFR stages, the small number of patients in this group, and the existence of excessively high MDRD-4 values in older patients with sarcopenia and frequently reduced creatinine concentrations.</p><p id="par0120" class="elsevierStylePara elsevierViewall">Regardless of whether some authors recommend the widespread use of the CKD-EPI<a class="elsevierStyleCrossRef" href="#bib0260"><span class="elsevierStyleSup">25</span></a> equation, several studies are currently analysing its behaviour in patient groups with specific characteristics<a class="elsevierStyleCrossRefs" href="#bib0265"><span class="elsevierStyleSup">26,27</span></a> and its application in PP is still scarce.</p><p id="par0125" class="elsevierStylePara elsevierViewall">To conclude, the results of our study indicate the following:<ul class="elsevierStyleList" id="lis0005"><li class="elsevierStyleListItem" id="lsti0005"><span class="elsevierStyleLabel">•</span><p id="par0130" class="elsevierStylePara elsevierViewall">The CKD-EPI and MDRD-4 formulas provide substantially different eGFR values in PP. The discordances are clinically relevant, the results cannot be considered equivalent, and the formulas are not interchangeable.</p></li><li class="elsevierStyleListItem" id="lsti0010"><span class="elsevierStyleLabel">•</span><p id="par0135" class="elsevierStylePara elsevierViewall">The eGFR obtained by the CKD-EPI are usually lower than those obtained by the MDRD-4 and they usually reclassify PP to higher renal dysfunction stages, especially women aged 83 years old or older.</p></li></ul></p><p id="par0140" class="elsevierStylePara elsevierViewall">New studies with a larger number of patients that examine the use of this recently created formula in PP could provide useful information on the management of complex patients with a high comorbidity burden, which are becoming increasingly frequent in geriatrics and internal medicine departments.</p><p id="par0145" class="elsevierStylePara elsevierViewall">Our study has several limitations. Firstly, there are no second creatinine determinations at 3<span class="elsevierStyleHsp" style=""></span>months to confirm eGFR values. Secondly, this study analysed a small number of patients, especially in extreme eGFR stages (<15 and ≥90<span class="elsevierStyleHsp" style=""></span>ml/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>). However, in routine clinical practice, the number of PP with high eGFR is small, and patients with lower eGFR do not usually receive dialysis due to their high comorbidity burden and more rapid death.</p></span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0105">Conflicts of interest</span><p id="par0160" class="elsevierStylePara elsevierViewall">The authors do not have conflicts of interest.</p></span></span>" "textoCompletoSecciones" => array:1 [ "secciones" => array:10 [ 0 => array:3 [ "identificador" => "xres548867" "titulo" => "Abstract" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Background and objective" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Patients and method" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Results" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Conclusion" ] ] ] 1 => array:2 [ "identificador" => "xpalclavsec566583" "titulo" => "Keywords" ] 2 => array:3 [ "identificador" => "xres548868" "titulo" => "Resumen" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0025" "titulo" => "Fundamento y objetivo" ] 1 => array:2 [ "identificador" => "abst0030" "titulo" => "Pacientes y método" ] 2 => array:2 [ "identificador" => "abst0035" "titulo" => "Resultados" ] 3 => array:2 [ "identificador" => "abst0040" "titulo" => "Conclusiones" ] ] ] 3 => array:2 [ "identificador" => "xpalclavsec566584" "titulo" => "Palabras clave" ] 4 => array:2 [ "identificador" => "sec0005" "titulo" => "Introduction" ] 5 => array:3 [ "identificador" => "sec0010" "titulo" => "Materials and method" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "sec0015" "titulo" => "Design" ] 1 => array:2 [ "identificador" => "sec0020" "titulo" => "Patients" ] 2 => array:2 [ "identificador" => "sec0025" "titulo" => "Study variables" ] 3 => array:2 [ "identificador" => "sec0030" "titulo" => "Statistical analysis" ] ] ] 6 => array:2 [ "identificador" => "sec0035" "titulo" => "Results" ] 7 => array:2 [ "identificador" => "sec0040" "titulo" => "Discussion" ] 8 => array:2 [ "identificador" => "sec0045" "titulo" => "Conflicts of interest" ] 9 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2013-05-14" "fechaAceptado" => "2013-09-05" "PalabrasClave" => array:2 [ "en" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec566583" "palabras" => array:3 [ 0 => "Comorbidity" 1 => "Glomerular filtration rate" 2 => "Renal insufficiency" ] ] ] "es" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Palabras clave" "identificador" => "xpalclavsec566584" "palabras" => array:3 [ 0 => "Comorbilidad" 1 => "Filtrado glomerular" 2 => "Insuficiencia renal" ] ] ] ] "tieneResumen" => true "resumen" => array:2 [ "en" => array:3 [ "titulo" => "Abstract" "resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Background and objective</span><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">The Modification of Diet in Renal Disease (MDRD) equation is recommended by most scientific societies to calculate the estimated glomerular filtration rate (GFR). Recently the group Chronic Kidney Disease Epidemiology Collaboration (CKP-EPI) has published a new, more precise and accurate equation. We have analysed its behaviour in a group of polypathological patients (PP) and compared it with the classic MDRD-4.version.</p></span> <span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Patients and method</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">Multicenter, observational, descriptive and transversal study. We calculated GFR by MDRD-4 and CKD-EPI in 425 PP. Each stage was assigned according to the GFR: 1: >90; 2: 60–89; 3: 30–59; 4: 15–29; and 5 <15<span class="elsevierStyleHsp" style=""></span>ml/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>. We analysed the correlation between both and the patients reclassified by CKD-EPI.</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Results</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">Mean age was (mean [SD]) 81.7 (7.9) years. 55.3% were women. The mean estimated GFR was 58.6 (26.3)<span class="elsevierStyleHsp" style=""></span>ml/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span> by MDRD-4 and 52.7 (23.0)<span class="elsevierStyleHsp" style=""></span>ml/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span> by CKD-EPI (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>.001; Spearman's Rho correlation and Lin concordance coefficients: 0.993 and 0.948). The Bland–Altman plots reflected lower values for GFR for CKD-EPI equation. In the stage 2, 21.2% were reclassified by CKD-EPI to the stage 3, with women older than 83 years being the more disadvantaged subgroup with 27.3% or reclassification.</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Conclusion</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">CKD-EPI equation applied to PP worsens the results of MDRD-4. In general, it originates low values of GFR and increases the degree of renal insufficiency, especially in older women.</p></span>" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Background and objective" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Patients and method" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Results" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Conclusion" ] ] ] "es" => array:3 [ "titulo" => "Resumen" "resumen" => "<span id="abst0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0035">Fundamento y objetivo</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">La fórmula <span class="elsevierStyleItalic">Modification of Diet in Renal Disease</span> (MDRD) es la recomendada por la mayoría de las sociedades científicas para el cálculo del filtrado glomerular estimado (FGe). Recientemente el grupo <span class="elsevierStyleItalic">Chronic Kidney Disease Epidemiology Collaboration</span> (CKD-EPI) ha publicado una nueva ecuación con mayor exactitud y precisión. Hemos analizado su comportamiento en un grupo de pacientes pluripatológicos (PP) comparándola con la versión clásica MDRD-4.</p></span> <span id="abst0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">Pacientes y método</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">Estudio multicéntrico, observacional, descriptivo y transversal. Se calculó el FGe por MDRD-4 y CKD-EPI en 425 PP. A cada uno se le asignó un estadio según su FGe: 1: ><span class="elsevierStyleHsp" style=""></span>90; 2: 60-89; 3: 30-59; 4: 15-29; y 5: <<span class="elsevierStyleHsp" style=""></span>15<span class="elsevierStyleHsp" style=""></span>ml/min/1,73 m<span class="elsevierStyleSup">2</span>. Se analizó la concordancia entre ambas y la reclasificación de pacientes por CKD-EPI.</p></span> <span id="abst0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Resultados</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">La edad media (DE) fue de 81,7 (7,9) años. El 55,3% eran mujeres. La media del FGe fue de 58,6 (26,3) ml/min/1,73 m<span class="elsevierStyleSup">2</span> según MDRD-4 y de 52,7 (23,0) ml/min/1,73 m<span class="elsevierStyleSup">2</span> según CKD-EPI (p<span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0,001; coeficientes de correlación Rho de Spearman y de concordancia de Lin: 0,993 y 0,948, respectivamente). Los gráficos de Bland-Altman reflejaban valores inferiores de FGe para la ecuación CKD-EPI. En el estadio 2, el 21,2% eran reasignados por CKD-EPI al estadio 3, siendo las mujeres mayores de 83 años el subgrupo más desfavorecido, con el 27,3% de reclasificación.</p></span> <span id="abst0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Conclusiones</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">La CKD-EPI aplicada al cálculo del FGe en PP empeora los resultados de la estimación mediante MDRD-4. Origina, de forma general, valores de FGe inferiores e incrementa el grado de insuficiencia renal, en especial en mujeres más añosas.</p></span>" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0025" "titulo" => "Fundamento y objetivo" ] 1 => array:2 [ "identificador" => "abst0030" "titulo" => "Pacientes y método" ] 2 => array:2 [ "identificador" => "abst0035" "titulo" => "Resultados" ] 3 => array:2 [ "identificador" => "abst0040" "titulo" => "Conclusiones" ] ] ] ] "NotaPie" => array:2 [ 0 => array:2 [ "etiqueta" => "☆" "nota" => "<p class="elsevierStyleNotepara" id="npar0025">Please cite this article as: Cabrerizo-García JL, Díez-Manglano J, García-Arilla E, Revillo-Pinilla P, Ramón-Puertas J, Sebastián-Royo M. Capacidad diagnóstica de lasecuaciones Chronic Kidney Disease Epidemiology Collaboration y Modification of Diet in Renal Disease-4 en la estimación del filtrado glomerular en pacientes pluripatológicos. Med Clin (Barc). 2015;144:14–20.</p>" ] 1 => array:3 [ "etiqueta" => "◊" "nota" => "<p class="elsevierStyleNotepara" id="npar0030">The researchers names from the PLUPAR study can be found in <a class="elsevierStyleCrossRef" href="#sec0050">Appendix 1</a>.</p>" "identificador" => "fn1" ] ] "apendice" => array:1 [ 0 => array:1 [ "seccion" => array:1 [ 0 => array:4 [ "apendice" => "<p id="par0155" class="elsevierStylePara elsevierViewall">Jesús Díez Manglano, Patricia Al-Cheikh Felices, Esperanza Bejarano Tello, Esther del Corral Beamonte, Isabel Fiteni Mera, Vanesa Garcés Horna, Francisco Javier Gomes Martín, M. Pilar Lambán Aranda, Rosa M. Martínez Álvarez, Pablo Martínez Rodés, Eulalia Munilla López, M. Jesús Pardo Díez, Santiago Alfonso Rubio Félix, María Sevil Puras, Carla Toyas Miazza (Internal Medicine Department, Hospital Royo Villanova, Zaragoza); Paz Revillo Pinilla, María Espuelas Monge, Mónica Odriozola Grijalba, Leticia Ollero Domenche (Internal Medicine Department, Hospital Universitario Miguel Servet, Zaragoza); Mercedes Clerencia Sierra (Geriatrics Unit, Hospital Universitario Miguel Servet, Zaragoza); Begoña de Escalante Yangüela, María del Mar Rodero Roldán (Internal Medicine Department, Hospital Clínico Universitario Lozano Blesa, Zaragoza); Mariano Sebastián Royo, José Ramón Puertas, José Luis Cabrerizo García (Internal Medicine Department, Hospital General de la Defensa, Zaragoza); Ernesto García-Arilla Calvo, Beatriz Gamboa Huarte, Teresa Morlanes Navarro, Teresa Villar Sanpio, José Luis Bonafonte Marteles, María Elena Castro Vilella, Raquel Quílez Pina (Geriatrics Department, Hospital Nuestra Señora de Gracia, Zaragoza); Mercedes Giménez López, Rosa Ramos Ibáñez, Concepción Ortiz Domingo (Geriatrics Department, Hospital San Juan de Dios, Zaragoza); Aránzazu Caudevilla Martínez, Araceli Jimeno Sainz (Internal Medicine Department, Hospital Ernest Lluch, Calatayud, Zaragoza); Eva Calvo Beguería, Teresa Omiste Sanvicente (Internal Medicine Department, Hospital San Jorge, Huesca); José Galindo Ortiz de Landázuri, Elena Ubis Díez (Geriatrics Department, Hospital Sagrado Corazón, Huesca); Pablo Sánchez-Rubio Lezcano, Sonia Omatos Mangado, Jesús Santaliestra Grau, Elena Castellar Otín (Internal Medicine Department, Hospital de Barbastro, Huesca); Juan Vallés Noguero, Alfredo Zamora Mur (Geriatrics Unit, Hospital de Barbastro, Huesca); Carmen Piqueras Serrano, María Salas Alcántara (Internal Medicine Department, Hospital de Alcañiz, Teruel); Ignacio García-Álvarez García, Javier Lerín Sánchez (Internal Medicine Department, Hospital Obispo Polanco, Teruel); Paloma González García, Sofía Solsona (Geriatrics Department, Hospital San José, Teruel).</p>" "etiqueta" => "Appendix 1" "titulo" => "List of researchers of the PLUPAR study" "identificador" => "sec0050" ] ] ] ] "multimedia" => array:6 [ 0 => array:7 [ "identificador" => "fig0005" "etiqueta" => "Fig. 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 1129 "Ancho" => 1539 "Tamanyo" => 154711 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Bland–Altman plot. The <span class="elsevierStyleItalic">Y</span>-axis represents the difference between measurements (GFR<span class="elsevierStyleInf">CKD-EPI</span><span class="elsevierStyleHsp" style=""></span>−<span class="elsevierStyleHsp" style=""></span>GFR<span class="elsevierStyleInf">MDRD</span>) in absolute values together with their mean and 95% confidence intervals; the <span class="elsevierStyleItalic">X</span>-axis represents the mean of the compared variables [(GFR<span class="elsevierStyleInf">CKD-EPI</span><span class="elsevierStyleHsp" style=""></span>+<span class="elsevierStyleHsp" style=""></span>GFR<span class="elsevierStyleInf">MDRD</span>)/2]. GFR<span class="elsevierStyleInf">CKD-EPI</span>: glomerular filtration rate estimated using the Chronic Kidney Disease Epidemiology Collaboration equation; GFR<span class="elsevierStyleInf">MDRD</span>: glomerular filtration rate estimated using the classic version of the Modification of Diet in Renal Disease equation.</p>" ] ] 1 => array:7 [ "identificador" => "fig0010" "etiqueta" => "Fig. 2" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr2.jpeg" "Alto" => 1139 "Ancho" => 1557 "Tamanyo" => 159712 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">Bland–Altman plot. The <span class="elsevierStyleItalic">Y</span>-axis represents the difference between measurements (GFR<span class="elsevierStyleInf">CKD-EPI</span><span class="elsevierStyleHsp" style=""></span>−<span class="elsevierStyleHsp" style=""></span>GFR<span class="elsevierStyleInf">MDRD</span>) in percentages together with their means and 95% confidence intervals; the <span class="elsevierStyleItalic">X</span>-axis shows the mean of contrasted variables [(GF<span class="elsevierStyleInf">CKD-EPI</span><span class="elsevierStyleHsp" style=""></span>+<span class="elsevierStyleHsp" style=""></span>GF<span class="elsevierStyleInf">MDRD</span>)/2]. GFR<span class="elsevierStyleInf">CKD-EPI</span>: glomerular filtration rate estimated using the Chronic Kidney Disease Epidemiology Collaboration equation; GFR<span class="elsevierStyleInf">MDRD</span>: glomerular filtration rate estimated using the classic version of the Modification of Diet in Renal Disease equation.</p>" ] ] 2 => array:7 [ "identificador" => "tbl0005" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:2 [ "leyenda" => "<p id="spar0070" class="elsevierStyleSimplePara elsevierViewall">eGFR<span class="elsevierStyleInf">CKD-EPI</span>: glomerular filtration rate estimated using the Chronic Kidney Disease Epidemiology Collaboration equation (CKD-EPI); eGFR<span class="elsevierStyleInf">MDRD</span>: glomerular filtration rate estimated using the classic version of the Modification of Diet in Renal Disease equation (MDRD-4).</p><p id="spar0075" class="elsevierStyleSimplePara elsevierViewall">Data are expressed as absolute values and percentages (in brackets) or <span class="elsevierStyleSup">a</span>according to their mean and standard deviation (in brackets).</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><tbody title="tbody"><tr title="table-row"><td class="td" title="table-entry " colspan="2" align="left" valign="top"><span class="elsevierStyleBold">Demographic variables</span></td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Sex women</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">235 (55.3) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Age</span><a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">81.7 (7.9) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="2" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="2" align="left" valign="top"><span class="elsevierStyleBold">Diagnostic categories</span></td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Cardiac diseases</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">254 (59.8) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Immune/renal disease</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">146 (34.4) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Respiratory diseases</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">146 (34.4) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Gastrointestinal diseases</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">26 (6.1) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Neurological diseases</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">197 (46.4) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Peripheral arterial disease/diabetes</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">103 (24.2) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Oncohematological diseases</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">116 (27.3) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Locomotor system diseases</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">104 (24.5) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="2" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleBold">Polypharmacy (5–9 drugs)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">221 (52.0) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleBold">Extreme polypharmacy (10 drugs)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">150 (35.3) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="2" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="2" align="left" valign="top"><span class="elsevierStyleBold">Blood test at admission</span><a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a></td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Haemoglobin (g/dl)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">11.6 (2.3) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Creatinine (mg/dl)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.4 (0.9) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Men \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.5 (0.8) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Women \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.3 (1.0) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span><83 years \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.3 (0.7) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>≥83 years \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.4 (1.1) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">eGFR</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">MDRD</span></span><span class="elsevierStyleItalic">(ml/min/1.73</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">m</span><span class="elsevierStyleSup"><span class="elsevierStyleItalic">2</span></span><span class="elsevierStyleItalic">)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">58.6 (26.3) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Men \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">62.9 (27.6) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Women \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">55.2 (24.8) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span><83 years \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">61.4 (27.0) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>≥83 years \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">55.9 (25.4) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">eGFR</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">CKD-EPI</span></span><span class="elsevierStyleItalic">(ml/min/1.73m</span><span class="elsevierStyleSup">2</span><span class="elsevierStyleItalic">)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">52.7 (23.0) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Men \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">56.1 (23.6) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Women \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">50 (22.1) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span><83 years \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">56.4 (23.8) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>≥83 years \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">49.1 (21.5) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="2" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="2" align="left" valign="top"><span class="elsevierStyleBold">Multidimensional appraisal</span><a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a></td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Barthel Index</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">55.5 (34.9) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Charlson Index</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4 (2.1) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">PROFUND Index</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">8.9 (4.8) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Pfeiffer Questionnaire</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4.2 (3.4) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="2" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleBold">Readmissions at 1 year</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">223 (52.5) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleBold">Mortality at 1 year</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">159 (37.4) \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab886667.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">Sample baseline characteristics.</p>" ] ] 3 => array:7 [ "identificador" => "tbl0010" "etiqueta" => "Table 2" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:3 [ "leyenda" => "<p id="spar0085" class="elsevierStyleSimplePara elsevierViewall">eGFR<span class="elsevierStyleInf">CKD-EPI</span>: glomerular filtration rate estimated using the Chronic Kidney Disease Epidemiology Collaboration equation (CKD-EPI); eGFR<span class="elsevierStyleInf">MDRD</span>: glomerular filtration rate estimated using the classic version of the Modification of Diet in Renal Disease equation (MDRD-4).</p><p id="spar0090" class="elsevierStyleSimplePara elsevierViewall">eGFR values are expressed in ml/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span> according to the mean and standard deviation (in brackets).</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "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="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Whole sample (n<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>425) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Stage 1 (≥90) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Stage 2 (60–89) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Stage 3 (30–59) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Stage 4 (15–29) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Stage 5 (<15) \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleItalic">eGFR</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">MDRD-4</span></span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">58.6 (26.3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">102.6 (7.4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">73.6 (8.9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">43.8 (8.6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">24.2 (3.7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">12.1 (3.5) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleItalic">eGFR</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">CKD-EPI</span></span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">52.7 (23) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">86.2 (4.9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">68.7 (9.1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">39.8 (8.6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">21.4 (3.7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">10.3 (3.1) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">p</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" 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="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Correlation<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.993 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.301 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.963 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.987 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.969 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.942 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Concordance<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.948 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.074 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.838 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.882 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.761 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.842 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="7" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="7" align="left" valign="top"><span class="elsevierStyleItalic">Men (n</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">=</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">190)</span></td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>eGFR<span class="elsevierStyleInf">MDRD-4</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">62.9 (27.6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">103.4 (8.4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">73.8 (8.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">44.1 (8.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">24.4 (3.6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">12.2 (1.9) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>eGFR<span class="elsevierStyleInf">CKD-EPI</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">56.1 (23.6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">86.8 (5.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">68.6 (8.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">39.8 (8.7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">21.5 (3.7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">10.1 (1.6) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">p</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.109 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Correlation<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.991 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.454 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.970 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.988 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.979 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.000 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Concordance<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.939 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.110 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.821 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.881 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.739 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.485 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="7" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="7" align="left" valign="top"><span class="elsevierStyleItalic">Women (n</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">=</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">235)</span></td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>eGFR<span class="elsevierStyleInf">MDRD-4</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">55.2 (24.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">101.5 (5.6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">73.4 (9.0) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">43.6 (8.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">24.1 (3.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">12.1 (4.2) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>eGFR<span class="elsevierStyleInf">CKD-EPI</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">50.0 (22.1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">85.1 (3.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">68.8 (9.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">39.8 (8.6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">21.4 (3.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">10.4 (3.7) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">p</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.018 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Correlation<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.994 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">−0.048 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.965 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.988 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.970 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.955 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Concordance<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.955 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">−0.002 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.853 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.882 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.778 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.886 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="7" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="7" align="char" valign="top"><<span class="elsevierStyleItalic">83 years (n</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">=</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">210)</span></td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>eGFR<span class="elsevierStyleInf">MDRD-4</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">61.4 (27.0) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">102.7 (8.3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">74.1 (9.2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">44.6 (8.6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">24.6 (3.9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">13.1 (1.3) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>eGFR<span class="elsevierStyleInf">CKD-EPI</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">56.4 (23.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">88.8 (4.3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">70.6 (9.6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">41.6 (8.4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">21.3 (3.9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">11.5 (1.3) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">p</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.063 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Correlation<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.993 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.465 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.962 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.993 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.985 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.000 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Concordance<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.960 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.115 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.916 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.932 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.835 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.491 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="7" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="7" align="char" valign="top">≥<span class="elsevierStyleItalic">83 years (n</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">=</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">215)</span></td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>eGFR<span class="elsevierStyleInf">MDRD-4</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">55.9 (25.4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">102.5 (6.1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">73.1 (8.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">43.1 (8.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">23.8 (3.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">11.5 (4.4) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>eGFR<span class="elsevierStyleInf">CKD-EPI</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">49.1 (21.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">82.3 (2.9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">66.7 (8.2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">38.4 (8.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">20.5 (3.4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">9.5 (3.8) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">p</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.027 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Correlation<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.985 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.518 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.967 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.995 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.980 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.000 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Concordance<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.945 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.031 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.749 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.841 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.671 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.869 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab886665.png" ] ] ] "notaPie" => array:2 [ 0 => array:3 [ "identificador" => "tblfn0005" "etiqueta" => "a" "nota" => "<p class="elsevierStyleNotepara" id="npar0005">Spearman's rho correlation coefficient.</p>" ] 1 => array:3 [ "identificador" => "tblfn0010" "etiqueta" => "b" "nota" => "<p class="elsevierStyleNotepara" id="npar0010">Lin's concordance coefficient.</p>" ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0080" class="elsevierStyleSimplePara elsevierViewall">Glomerular filtration rate estimated with the MDRD-4 and CKD-EPI equations. Concordance and correlation study.</p>" ] ] 4 => array:7 [ "identificador" => "tbl0015" "etiqueta" => "Table 3" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:2 [ "leyenda" => "<p id="spar0100" class="elsevierStyleSimplePara elsevierViewall">CKD-EPI: Chronic Kidney Disease Epidemiology Collaboration; eGFR<span class="elsevierStyleInf">MDRD</span>: glomerular filtration rate estimated using the classic version of the Modification of Diet in Renal Disease equation (MDRD-4).</p><p id="spar0105" class="elsevierStyleSimplePara elsevierViewall">Values are expressed as the mean of the differences in absolute values (ml/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>) and percentages (%) and 95% confidence intervals.</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "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="table-head " align="" valign="top" scope="col"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " colspan="5" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Stages according to eGFR<span class="elsevierStyleInf">MDRD-4</span></th></tr><tr title="table-row"><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Stage 1 (≥90) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Stage 2 (60–89) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Stage 3 (30–59) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Stage 4 (15–29) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Stage 5 (<15) \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="table-entry " colspan="6" align="left" valign="top"><span class="elsevierStyleItalic">Total</span></td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Mean differences \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">−16.5 (−2.2 to −30.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">−4.9 (−0.1 to −9.7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">−3.9 (−0.1 to −7.7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">−2.7 (−1.3 to −4.2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">−1.8 (−0.8 to −2.9) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Mean differences (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">−17.3 (−2.9 to −31.7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">−7 (−0.2 to −13.9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">−9.8 (−1.6 to −17.9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">−12.5 (−5.2 to −19.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">−17 (−9.6 to −24.4) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="6" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="6" align="left" valign="top"><span class="elsevierStyleItalic">Men</span></td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Mean differences \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">−16.6 (−1.5 to −31.6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">−5.2 (−0.8 to − 9.6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">−4.3 (−1.9 to −6.7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">−2.9 (−1.3 to −4.4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">−2 (−1.2 to −2.9) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Mean differences (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">−17.3 (−2.4 to −32.1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">−7.4 (−1 to −13.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">−10.6 (−3.8 to −17.4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">−12.8 (−5.1 to −20.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">−18.2 (−13.3 to −23.1) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="6" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="6" align="left" valign="top"><span class="elsevierStyleItalic">Women</span></td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Mean differences \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">−16.3 (−2.9 to −29.7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">−4.6 (0.4 to −9.7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">−3.7 (0.7 to −8.1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">−2.7 (−1.4 to −4.1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">−1.74 (−0.6 to −2.9) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Mean differences (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">−17.4 (−3.4 to −31.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">−6.7 (0.6 to −14) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">−9.3 (−0.5 to −18) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">−12.1 (−5.1 to −19.1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">−16.5 (−8.1 to −29.4) \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab886664.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0095" class="elsevierStyleSimplePara elsevierViewall">Bland–Altman concordance analysis for the estimated glomerular filtration values calculated by the CKD-EPI and MDRD-4.</p>" ] ] 5 => array:7 [ "identificador" => "tbl0020" "etiqueta" => "Table 4" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:3 [ "leyenda" => "<p id="spar0115" class="elsevierStyleSimplePara elsevierViewall">CKD-EPI: Chronic Kidney Disease Epidemiology Collaboration; eGFR: estimated glomerular filtration rate; MDRD: Modification of Diet in Renal Disease.</p><p id="spar0120" class="elsevierStyleSimplePara elsevierViewall">The estimated glomerular filtration rate values of the groups are expressed in ml/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>.</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "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="table-head " align="" valign="top" scope="col"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " colspan="5" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">MDRD-4</th></tr><tr title="table-row"><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">1 (≥90) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">2 (60–89) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">3 (30–59) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">4 (15–29) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">5 (<15) \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="table-entry " colspan="6" align="left" valign="top"><span class="elsevierStyleBold">CKD-EPI</span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="6" align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Total (n</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">=</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">425)</span></td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>1 (≥90) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><span class="elsevierStyleBold">13 (21%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>2 (60–89) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">49 (79%)<a class="elsevierStyleCrossRef" href="#tblfn0020"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><span class="elsevierStyleBold">114 (78.8%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 (0.6%)<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">a</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>3 (30–59) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">28 (21.2%)<a class="elsevierStyleCrossRef" href="#tblfn0020"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><span class="elsevierStyleBold">148 (86%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>4 (15–29) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">23 (13.4%)<a class="elsevierStyleCrossRef" href="#tblfn0020"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><span class="elsevierStyleBold">47 (95.9%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>5 (<15) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2 (4.1%)<a class="elsevierStyleCrossRef" href="#tblfn0020"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">10 (100%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="6" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="6" align="left" valign="top"><span class="elsevierStyleBold">Women</span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="6" align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic"><83 years</span></td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>1 (≥90) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><span class="elsevierStyleBold">2 (18.2%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>2 (60–89) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">9 (81.8%)<a class="elsevierStyleCrossRef" href="#tblfn0020"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><span class="elsevierStyleBold">21 (87.5%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>3 (30–59) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3 (12.5%)<a class="elsevierStyleCrossRef" href="#tblfn0020"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><span class="elsevierStyleBold">36 (94.7%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>4 (15–29) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2 (5.3%)<a class="elsevierStyleCrossRef" href="#tblfn0020"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><span class="elsevierStyleBold">11 (100%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>5 (<15) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3 (100%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="6" align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">≥83 years</span></td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>1 (≥90) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><span class="elsevierStyleBold">0 (0%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>2 (60–89) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">14 <span class="elsevierStyleBold">(</span>100%)<a class="elsevierStyleCrossRef" href="#tblfn0020"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><span class="elsevierStyleBold">32 (72.7%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 (1.4%)<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">a</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>3 (30–59) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">12 <span class="elsevierStyleBold">(</span>27.3%)<a class="elsevierStyleCrossRef" href="#tblfn0020"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><span class="elsevierStyleBold">56 (80%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>4 (15–29) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">13 <span class="elsevierStyleBold">(</span>18.6%)<a class="elsevierStyleCrossRef" href="#tblfn0020"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><span class="elsevierStyleBold">14 (87.5%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>5 (<15) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2 <span class="elsevierStyleBold">(</span>12.5%)<a class="elsevierStyleCrossRef" href="#tblfn0020"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4 (100%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="6" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="6" align="left" valign="top"><span class="elsevierStyleBold">Men</span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="6" align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleItalic">83 years</span></td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>1 (≥90) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><span class="elsevierStyleBold">11 (42.3%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>2 (60–89) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">15 (57.7%)<a class="elsevierStyleCrossRef" href="#tblfn0020"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><span class="elsevierStyleBold">34 (77.3%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>3 (30–59) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">10 (22.7%)<a class="elsevierStyleCrossRef" href="#tblfn0020"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><span class="elsevierStyleBold">36 (94.7%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>4 (15–29) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2 (5.3%)<a class="elsevierStyleCrossRef" href="#tblfn0020"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><span class="elsevierStyleBold">14 (100%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>5 (<15) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 (100%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="6" align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">≥83 years</span></td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>1 (≥0) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><span class="elsevierStyleBold">0 (0%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>2 (60–89) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">11 (100%)<a class="elsevierStyleCrossRef" href="#tblfn0020"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><span class="elsevierStyleBold">17 (85%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>3 (30–59) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3 (15%)<a class="elsevierStyleCrossRef" href="#tblfn0020"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><span class="elsevierStyleBold">20 (76.9)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>4 (15–29) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">6 (23.1%)<a class="elsevierStyleCrossRef" href="#tblfn0020"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><span class="elsevierStyleBold">8 (100%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>5 (<15) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2 (100%) \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab886666.png" ] ] ] "notaPie" => array:2 [ 0 => array:3 [ "identificador" => "tblfn0015" "etiqueta" => "a" "nota" => "<p class="elsevierStyleNotepara" id="npar0015">Patients reclassified to stages of higher estimated glomerular filtration rate by CKD-EPI.</p>" ] 1 => array:3 [ "identificador" => "tblfn0020" "etiqueta" => "b" "nota" => "<p class="elsevierStyleNotepara" id="npar0020">Patients reclassified to stages of lower estimated glomerular filtration rate by CKD-EPI.</p>" ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0110" class="elsevierStyleSimplePara elsevierViewall">Concordances (in boldface) in the classification of glomerular filtration rate groups estimated by the MDRD-4 and CKD-EPI equations, taking the glomerular filtration rate estimated by MDRD-4 as the reference, and simultaneously taking age and sex into account.</p>" ] ] ] "bibliografia" => array:2 [ "titulo" => "References" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "bibs0005" "bibliografiaReferencia" => array:27 [ 0 => array:3 [ "identificador" => "bib0140" "etiqueta" => "1" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Características clínicas, funcionales, mentales y sociales de pacientes pluripatológicos. Estudio prospectivo durante un año en Atención Primaria" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:6 [ 0 => "N. Ramírez-Duque" 1 => "M. Ollero-Baturone" 2 => "M. Bernabeu-Wittel" 3 => "M. Rincón-Gómez" 4 => "M.A. Ortiz-Camuñez" 5 => "S. García-Morillo" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:6 [ "tituloSerie" => "Rev Clin Esp" "fecha" => "2008" "volumen" => "208" "paginaInicial" => "4" "paginaFinal" => "11" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/18221654" "web" => "Medline" ] ] ] ] ] ] ] ] 1 => array:3 [ "identificador" => "bib0145" "etiqueta" => "2" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Proceso asistencial integrado. Atención al paciente pluripatológico" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "M. Ollero" 1 => "T.M. Álvarez" 2 => "F.B. Barón" 3 => "M. Bernabeu" 4 => "A. Codina" 5 => "A. Fernández" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Libro" => array:4 [ "edicion" => "2.<span class="elsevierStyleSup">a</span> ed." "fecha" => "2007" "editorial" => "Consejería de Salud" "editorialLocalizacion" => "Andalucía" ] ] ] ] ] ] 2 => array:3 [ "identificador" => "bib0150" "etiqueta" => "3" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Cálculo de filtrado glomerular: una visión escéptica" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:1 [ 0 => "N.R. Robles" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:6 [ "tituloSerie" => "Nefrologia" "fecha" => "2007" "volumen" => "27" "paginaInicial" => "405" "paginaFinal" => "407" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/17944576" "web" => "Medline" ] ] ] ] ] ] ] ] 3 => array:3 [ "identificador" => "bib0155" "etiqueta" => "4" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Documento de consenso: Recomendaciones sobre la utilización de ecuaciones para la estimación del filtrado glomerular en adultos" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "S. Gracia" 1 => "R. Montañés" 2 => "J. Bover" 3 => "A. Cases" 4 => "R. Deulofeu" 5 => "A.L. Martín de Francisco" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:6 [ "tituloSerie" => "Nefrologia" "fecha" => "2006" "volumen" => "26" "paginaInicial" => "658" "paginaFinal" => "665" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/17227242" "web" => "Medline" ] ] ] ] ] ] ] ] 4 => array:3 [ "identificador" => "bib0160" "etiqueta" => "5" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Renal function in heart failure: a disparity between estimating function and predicting mortality risk" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "M. Plischke" 1 => "S. Neuhold" 2 => "M. Kohl" 3 => "G. Heinze" 4 => "G. Sunder-Plassmann" 5 => "R. Pacher" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1093/eurjhf/hft022" "Revista" => array:6 [ "tituloSerie" => "Eur J Heart Fail" "fecha" => "2013" "volumen" => "15" "paginaInicial" => "763" "paginaFinal" => "770" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/23429976" "web" => "Medline" ] ] ] ] ] ] ] ] 5 => array:3 [ "identificador" => "bib0165" "etiqueta" => "6" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Valor pronóstico del filtrado glomerular en el síndrome coronario agudo: ¿índice de Cockcroft o ecuación MDRD?" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:3 [ 0 => "J.L. Cabrerizo García" 1 => "B. Zalba Etayo" 2 => "J.I. Pérez Calvo" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:5 [ "tituloSerie" => "Med Clin (Barc)" "fecha" => "2010" "volumen" => "134" "paginaInicial" => "624" "paginaFinal" => "629" ] ] ] ] ] ] 6 => array:3 [ "identificador" => "bib0170" "etiqueta" => "7" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Valor añadido del cálculo del filtrado glomerular mediante MDRD-4 en la estimación del riesgo de sobredosificación digitálica" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:4 [ 0 => "F. Llinares Tello" 1 => "A. Balbuena Segura" 2 => "M.V. Almenar Bonet" 3 => "J. Molina García" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:5 [ "tituloSerie" => "Med Clin (Barc)" "fecha" => "2011" "volumen" => "137" "paginaInicial" => "520" "paginaFinal" => "521" ] ] ] ] ] ] 7 => array:3 [ "identificador" => "bib0175" "etiqueta" => "8" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "K/DOQI clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratification" "autores" => array:1 [ 0 => array:2 [ "colaboracion" => "National Kidney Foundation" "etal" => false ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:6 [ "tituloSerie" => "Am J Kidney Dis" "fecha" => "2002" "volumen" => "39" "paginaInicial" => "S1" "paginaFinal" => "S266" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/11904577" "web" => "Medline" ] ] ] ] ] ] ] ] 8 => array:3 [ "identificador" => "bib0180" "etiqueta" => "9" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Prevalencia de enfermedad renal crónica en pacientes con diabetes tipo 2 mediante determinación del filtrado glomerular y su relación con el riesgo cardiovascular" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:4 [ 0 => "T. Mur Martí" 1 => "M. Villaró Gabarrós" 2 => "N. Porta Martínez" 3 => "A. Jaén Manzanera" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:5 [ "tituloSerie" => "Med Clin (Barc)" "fecha" => "2013" "volumen" => "140" "paginaInicial" => "395" "paginaFinal" => "400" ] ] ] ] ] ] 9 => array:3 [ "identificador" => "bib0185" "etiqueta" => "10" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Prediction of creatinine clearance from serum creatinine" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:2 [ 0 => "D.W. Cockcroft" 1 => "M.H. Gault" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:6 [ "tituloSerie" => "Nephron" "fecha" => "1976" "volumen" => "16" "paginaInicial" => "31" "paginaFinal" => "41" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/1244564" "web" => "Medline" ] ] ] ] ] ] ] ] 10 => array:3 [ "identificador" => "bib0190" "etiqueta" => "11" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:6 [ 0 => "A.S. Levey" 1 => "J.P. Bosch" 2 => "J.B. Lewis" 3 => "T. Greene" 4 => "N. Rogers" 5 => "D. Roth" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:6 [ "tituloSerie" => "Ann Intern Med" "fecha" => "1999" "volumen" => "130" "paginaInicial" => "461" "paginaFinal" => "470" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/10075613" "web" => "Medline" ] ] ] ] ] ] ] ] 11 => array:3 [ "identificador" => "bib0195" "etiqueta" => "12" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "A new equation to estimate glomerular filtration rate" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "A.S. Levey" 1 => "L.A. Stevens" 2 => "C.H. Schmid" 3 => "Y.L. Zhang" 4 => "A.F. Castro 3rd" 5 => "H.I. Feldman" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:6 [ "tituloSerie" => "Ann Intern Med" "fecha" => "2009" "volumen" => "150" "paginaInicial" => "604" "paginaFinal" => "612" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/19414839" "web" => "Medline" ] ] ] ] ] ] ] ] 12 => array:3 [ "identificador" => "bib0200" "etiqueta" => "13" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Functional evaluation: the Barthel Index" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:2 [ 0 => "F.I. Mahoney" 1 => "D.W. Barthel" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:5 [ "tituloSerie" => "Md State Med J" "fecha" => "1965" "volumen" => "4" "paginaInicial" => "61" "paginaFinal" => "65" ] ] ] ] ] ] 13 => array:3 [ "identificador" => "bib0205" "etiqueta" => "14" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "A new method of classifying prognostic comorbidity in longitudinal studies: development and validation" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:4 [ 0 => "M.E. Charlson" 1 => "P. Pompei" 2 => "K.L. Ales" 3 => "C.R. MacKenzie" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:6 [ "tituloSerie" => "J Chronic Dis" "fecha" => "1987" "volumen" => "40" "paginaInicial" => "373" "paginaFinal" => "383" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/3558716" "web" => "Medline" ] ] ] ] ] ] ] ] 14 => array:3 [ "identificador" => "bib0210" "etiqueta" => "15" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Adaptación y validación al castellano del cuestionario de Pfeiffer (SPMSQ) para detectar la existencia de deterioro cognitivo en personas mayores de 65 años" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:6 [ 0 => "J. Martínez de la Iglesia" 1 => "R. Dueñas Herrero" 2 => "M.C. Onís Vilches" 3 => "C. Aguado Taberné" 4 => "C. Albert Colomer" 5 => "R. Luque Luque" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:5 [ "tituloSerie" => "Med Clin (Barc)" "fecha" => "2001" "volumen" => "117" "paginaInicial" => "129" "paginaFinal" => "134" ] ] ] ] ] ] 15 => array:3 [ "identificador" => "bib0215" "etiqueta" => "16" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Development of a new predictive model for polypathological patients. The PROFUND index" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "M. Bernabeu-Wittel" 1 => "M. Ollero-Baturone" 2 => "L. Moreno-Gaviño" 3 => "B. Barón-Franco" 4 => "A. Fuertes" 5 => "J. Murcia-Zaragoza" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/j.ejim.2010.11.012" "Revista" => array:6 [ "tituloSerie" => "Eur J Intern Med" "fecha" => "2011" "volumen" => "22" "paginaInicial" => "311" "paginaFinal" => "317" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/21570654" "web" => "Medline" ] ] ] ] ] ] ] ] 16 => array:3 [ "identificador" => "bib0220" "etiqueta" => "17" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Valoración de la nueva ecuación CKD-EPI para la estimación del filtrado glomerular" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:5 [ 0 => "R. Montañés Bermúdez" 1 => "J. Bover Sanjuán" 2 => "A. Oliver Samper" 3 => "J.A. Ballarín Castán" 4 => "S. Gracia García" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.3265/Nefrologia.pre2009.Dic.5838" "Revista" => array:6 [ "tituloSerie" => "Nefrologia" "fecha" => "2010" "volumen" => "30" "paginaInicial" => "185" "paginaFinal" => "194" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/20038962" "web" => "Medline" ] ] ] ] ] ] ] ] 17 => array:3 [ "identificador" => "bib0225" "etiqueta" => "18" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Risk implications of the new CKD epidemiology collaboration (CKD-EPI) equation compared with the MDRD study equation for estimated GFR: the Atherosclerosis Risk in Communities (ARIC) Study" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:5 [ 0 => "K. Matsushita" 1 => "E. Melvin" 2 => "L. Bash" 3 => "B. Astor" 4 => "J. Coresh" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1053/j.ajkd.2009.12.016" "Revista" => array:6 [ "tituloSerie" => "Am J Kidney Dis" "fecha" => "2010" "volumen" => "55" "paginaInicial" => "648" "paginaFinal" => "659" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/20189275" "web" => "Medline" ] ] ] ] ] ] ] ] 18 => array:3 [ "identificador" => "bib0230" "etiqueta" => "19" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Comparación de dos ecuaciones para estimar el filtrado glomerular" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:3 [ 0 => "S. Esteve Poblador" 1 => "S. Gorriz Pintado" 2 => "M. Ortuño Alonso" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:4 [ "tituloSerie" => "Rev Clin Esp" "fecha" => "2012" "paginaInicial" => "75" "paginaFinal" => "80" ] ] ] ] ] ] 19 => array:3 [ "identificador" => "bib0235" "etiqueta" => "20" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Comparison of the prevalence and mortality risk of CKD in Australia using the CKD Epidemiology Collaboration (CKD-EPI) and Modification of Diet in Renal Disease (MDRD) Study GFR estimating equations: the AusDiab (Australian Diabetes, Obesity and Lifestyle) Study" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:4 [ 0 => "S.L. White" 1 => "K.R. Polkinghorne" 2 => "R.C. Atkins" 3 => "S.J. Chadban" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1053/j.ajkd.2009.12.011" "Revista" => array:6 [ "tituloSerie" => "Am J Kidney Dis" "fecha" => "2010" "volumen" => "55" "paginaInicial" => "660" "paginaFinal" => "670" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/20138414" "web" => "Medline" ] ] ] ] ] ] ] ] 20 => array:3 [ "identificador" => "bib0240" "etiqueta" => "21" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Clinical risk implications of the CKD Epidemiology Collaboration (CKD-EPI) equation compared with the Modification of Diet in Renal Disease (MDRD) Study equation for estimated GFR" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:6 [ 0 => "K. Matsushita" 1 => "M. Tonelli" 2 => "A. Lloyd" 3 => "A.S. Levey" 4 => "J. Coresh" 5 => "B.R. Hemmelgarn" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1053/j.ajkd.2012.03.016" "Revista" => array:6 [ "tituloSerie" => "Am J Kidney Dis" "fecha" => "2012" "volumen" => "60" "paginaInicial" => "241" "paginaFinal" => "249" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/22560843" "web" => "Medline" ] ] ] ] ] ] ] ] 21 => array:3 [ "identificador" => "bib0245" "etiqueta" => "22" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Comparison of risk prediction using the CKD-EPI equation and the MDRD study equation for estimated glomerular filtration rate" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "K. Matsushita" 1 => "B.K. Mahmoodi" 2 => "M. Woodward" 3 => "J.R. Emberson" 4 => "T.H. Jafar" 5 => "S.H. Jee" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1001/jama.2012.3954" "Revista" => array:6 [ "tituloSerie" => "JAMA" "fecha" => "2012" "volumen" => "307" "paginaInicial" => "1941" "paginaFinal" => "1951" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/22570462" "web" => "Medline" ] ] ] ] ] ] ] ] 22 => array:3 [ "identificador" => "bib0250" "etiqueta" => "23" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "GFR estimation using the Cockcroft–Gault, MDRD study, and CKD-EPI equations in the elderly" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "M. Flamant" 1 => "J.P. Haymann" 2 => "E. Vidal-Petiot" 3 => "E. Letavernier" 4 => "C. Clerici" 5 => "J.J. Boffa" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1053/j.ajkd.2012.08.001" "Revista" => array:6 [ "tituloSerie" => "Am J Kidney Dis" "fecha" => "2012" "volumen" => "60" "paginaInicial" => "847" "paginaFinal" => "849" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/22938847" "web" => "Medline" ] ] ] ] ] ] ] ] 23 => array:3 [ "identificador" => "bib0255" "etiqueta" => "24" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Prognostic abilities of different calculation formulas for the glomerular filtration rate in elderly Chinese patients with coronary artery disease" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "S. Fu" 1 => "Y. Liu" 2 => "B. Zhu" 3 => "T. Xiao" 4 => "S. Yi" 5 => "Y. Bai" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.2147/CIA.S40438" "Revista" => array:6 [ "tituloSerie" => "Clin Interv Aging" "fecha" => "2013" "volumen" => "8" "paginaInicial" => "229" "paginaFinal" => "237" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/23450793" "web" => "Medline" ] ] ] ] ] ] ] ] 24 => array:3 [ "identificador" => "bib0260" "etiqueta" => "25" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Comparison of estimated glomerular filtration rate (eGFR) using the MDRD and CKD-EPI equations for CKD screening in a large population" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:4 [ 0 => "D. Giavarina" 1 => "D.N. Cruz" 2 => "G. Soffiati" 3 => "C. Ronco" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:6 [ "tituloSerie" => "Clin Nephrol" "fecha" => "2010" "volumen" => "74" "paginaInicial" => "358" "paginaFinal" => "363" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/20979944" "web" => "Medline" ] ] ] ] ] ] ] ] 25 => array:3 [ "identificador" => "bib0265" "etiqueta" => "26" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Estimating glomerular filtration rate in kidney transplantation: is the new chronic kidney disease epidemiology collaboration equation any better?" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:5 [ 0 => "C.A. White" 1 => "A. Akbari" 2 => "S. Doucette" 3 => "D. Fergusson" 4 => "G.A. Knoll" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1373/clinchem.2009.135111" "Revista" => array:6 [ "tituloSerie" => "Clin Chem" "fecha" => "2010" "volumen" => "56" "paginaInicial" => "474" "paginaFinal" => "477" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/19959620" "web" => "Medline" ] ] ] ] ] ] ] ] 26 => array:3 [ "identificador" => "bib0270" "etiqueta" => "27" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Estimating glomerular filtration rate using the new CKD-EPI equation and other equations in patients with autosomal dominant polycystic kidney disease" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:6 [ 0 => "B. Orskov" 1 => "M.L. Borresen" 2 => "B. Feldt-Rasmussen" 3 => "O. Østergaard" 4 => "I. Laursen" 5 => "S. Strandgaard" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1159/000256657" "Revista" => array:6 [ "tituloSerie" => "Am J Nephrol" "fecha" => "2010" "volumen" => "31" "paginaInicial" => "53" "paginaFinal" => "57" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/19887788" "web" => "Medline" ] ] ] ] ] ] ] ] ] ] ] ] ] "idiomaDefecto" => "en" "url" => "/23870206/0000014400000001/v1_201509042040/S2387020615000042/v1_201509042040/en/main.assets" "Apartado" => array:4 [ "identificador" => "43310" "tipo" => "SECCION" "en" => array:2 [ "titulo" => "Original articles" "idiomaDefecto" => true ] "idiomaDefecto" => "en" ] "PDF" => "https://static.elsevier.es/multimedia/23870206/0000014400000001/v1_201509042040/S2387020615000042/v1_201509042040/en/main.pdf?idApp=UINPBA00004N&text.app=https://www.elsevier.es/" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S2387020615000042?idApp=UINPBA00004N" ]
| Year/Month | Html | Total | |
|---|---|---|---|
| 2018 May | 2 | 0 | 2 |
| 2017 October | 19 | 6 | 25 |
| 2017 September | 35 | 6 | 41 |
| 2017 August | 6 | 5 | 11 |
| 2017 July | 3 | 2 | 5 |
| 2017 June | 7 | 3 | 10 |
| 2017 May | 2 | 1 | 3 |
| 2017 April | 5 | 4 | 9 |
| 2017 March | 4 | 39 | 43 |
| 2017 February | 9 | 1 | 10 |
| 2017 January | 3 | 0 | 3 |
| 2015 September | 1 | 0 | 1 |
