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Factors associated with the compensation of renal function after nephrectomy of a kidney donor
Factores asociados a la compensación de la función renal tras la nefrectomía para donación
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Validación de cuestionario y baremos" ] ] "contieneResumen" => array:2 [ "en" => true "es" => true ] "contieneTextoCompleto" => array:1 [ "en" => true ] "contienePdf" => array:1 [ "en" => true ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig0010" "etiqueta" => "Figure 2" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr2.jpeg" "Alto" => 1169 "Ancho" => 1585 "Tamanyo" => 64656 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">Scree plot of the main components of the Overload Questionnaire for Carers of Patients on Peritoneal Dialysis.</p>" ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "Josep Teixidó-Planas, Laura Tarrats Velasco, Nieves Arias Suárez, Antonio Cosculluela Mas" "autores" => array:4 [ 0 => array:2 [ "nombre" => "Josep" "apellidos" => "Teixidó-Planas" ] 1 => array:2 [ "nombre" => "Laura" "apellidos" => "Tarrats Velasco" ] 2 => array:2 [ "nombre" => "Nieves" "apellidos" => "Arias Suárez" ] 3 => array:2 [ "nombre" => "Antonio" "apellidos" => "Cosculluela Mas" ] ] ] ] ] "idiomaDefecto" => "en" "Traduccion" => array:1 [ "es" => array:9 [ "pii" => "S0211699518300432" "doi" => "10.1016/j.nefro.2018.02.006" "estado" => "S300" "subdocumento" => "" "abierto" => array:3 [ "ES" => true "ES2" => true "LATM" => true ] "gratuito" => true "lecturas" => array:1 [ "total" => 0 ] "idiomaDefecto" => "es" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S0211699518300432?idApp=UINPBA000064" ] ] "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S2013251418301111?idApp=UINPBA000064" "url" => "/20132514/0000003800000005/v1_201811140611/S2013251418301111/v1_201811140611/en/main.assets" ] "itemAnterior" => array:20 [ "pii" => "S2013251418301160" "issn" => "20132514" "doi" => "10.1016/j.nefroe.2018.02.014" "estado" => "S300" "fechaPublicacion" => "2018-09-01" "aid" => "484" "copyright" => "Sociedad Española de Nefrología" "documento" => "article" "crossmark" => 0 "licencia" => "http://creativecommons.org/licenses/by-nc-nd/4.0/" "subdocumento" => "fla" "cita" => "Nefrologia (English Version). 2018;38:520-7" "abierto" => array:3 [ "ES" => true "ES2" => true "LATM" => true ] "gratuito" => true "lecturas" => array:2 [ "total" => 1308 "formatos" => array:3 [ "EPUB" => 169 "HTML" => 736 "PDF" => 403 ] ] "en" => array:13 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Original article</span>" "titulo" => "Risk of hospitalization associated with body mass index and weight changes among prevalent haemodialysis patients" "tienePdf" => "en" "tieneTextoCompleto" => "en" "tieneResumen" => array:2 [ 0 => "en" 1 => "es" ] "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "520" "paginaFinal" => "527" ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "Riesgo de hospitalización asociado con el índice de masa corporal y los cambios de peso entre los pacientes de hemodiálisis prevalentes" ] ] "contieneResumen" => array:2 [ "en" => true "es" => true ] "contieneTextoCompleto" => array:1 [ "en" => true ] "contienePdf" => array:1 [ "en" => true ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig0005" "etiqueta" => "Fig. 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 1263 "Ancho" => 1583 "Tamanyo" => 64217 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">Associations between baseline body mass index (BMI) and annual hospitalization rates, expressed as incidence rate ratios, in 6296 haemodialysis patients from COSMOS. Normo weight individuals were taken as the reference. Model 1 includes multivariate adjustment for age, sex, smoking (never, former or current), country, type of centre (public or private), dialysis vintage, haemodialysis hours per week and modality; Model 2 includes multivariate adjustment of variables included in model 1 plus primary kidney disease, diabetes mellitus and history of cardiovascular disease.</p>" ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "Juan J. Carrero, Ivan Cabezas-Rodríguez, Abdul R. Qureshi, Jürgen Floege, Markus Ketteler, Gerard London, Francesco Locatelli, Dimitrios Memmos, David Goldsmith, Aníbal Ferreira, Judit Nagy, Vladimir Teplan, Carlos Martínez-Salgado, José L. Fernández-Martín, Carmine Zoccali, Jorge B. Cannata-Andia" "autores" => array:17 [ 0 => array:2 [ "nombre" => "Juan J." "apellidos" => "Carrero" ] 1 => array:2 [ "nombre" => "Ivan" "apellidos" => "Cabezas-Rodríguez" ] 2 => array:2 [ "nombre" => "Abdul R." "apellidos" => "Qureshi" ] 3 => array:2 [ "nombre" => "Jürgen" "apellidos" => "Floege" ] 4 => array:2 [ "nombre" => "Markus" "apellidos" => "Ketteler" ] 5 => array:2 [ "nombre" => "Gerard" "apellidos" => "London" ] 6 => array:2 [ "nombre" => "Francesco" "apellidos" => "Locatelli" ] 7 => array:2 [ "nombre" => "Dimitrios" "apellidos" => "Memmos" ] 8 => array:2 [ "nombre" => "David" "apellidos" => "Goldsmith" ] 9 => array:2 [ "nombre" => "Aníbal" "apellidos" => "Ferreira" ] 10 => array:2 [ "nombre" => "Judit" "apellidos" => "Nagy" ] 11 => array:2 [ "nombre" => "Vladimir" "apellidos" => "Teplan" ] 12 => array:2 [ "nombre" => "Carlos" "apellidos" => "Martínez-Salgado" ] 13 => array:2 [ "nombre" => "José L." "apellidos" => "Fernández-Martín" ] 14 => array:2 [ "nombre" => "Carmine" "apellidos" => "Zoccali" ] 15 => array:2 [ "nombre" => "Jorge B." "apellidos" => "Cannata-Andia" ] 16 => array:1 [ "colaborador" => "on behalf of the COSMOS group" ] ] ] ] ] "idiomaDefecto" => "en" "Traduccion" => array:1 [ "en" => array:9 [ "pii" => "S0211699518300614" "doi" => "10.1016/j.nefro.2018.02.009" "estado" => "S300" "subdocumento" => "" "abierto" => array:3 [ "ES" => true "ES2" => true "LATM" => true ] "gratuito" => true "lecturas" => array:1 [ "total" => 0 ] "idiomaDefecto" => "en" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S0211699518300614?idApp=UINPBA000064" ] ] "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S2013251418301160?idApp=UINPBA000064" "url" => "/20132514/0000003800000005/v1_201811140611/S2013251418301160/v1_201811140611/en/main.assets" ] "en" => array:21 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Original article</span>" "titulo" => "Factors associated with the compensation of renal function after nephrectomy of a kidney donor" "tieneTextoCompleto" => true "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "528" "paginaFinal" => "534" ] ] "autores" => array:1 [ 0 => array:4 [ "autoresLista" => "Carla Burballa, Marta Crespo, Dolores Redondo-Pachón, María José Pérez-Sáez, Carlos Arias-Cabrales, Marisa Mir, Albert Francés, Lluís Fumadó, Lluís Cecchini, Julio Pascual" "autores" => array:10 [ 0 => array:3 [ "nombre" => "Carla" "apellidos" => "Burballa" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] 1 => array:4 [ "nombre" => "Marta" "apellidos" => "Crespo" "email" => array:1 [ 0 => "Mcrespo@psmar.cat" ] "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">*</span>" "identificador" => "cor0005" ] ] ] 2 => array:3 [ "nombre" => "Dolores" "apellidos" => "Redondo-Pachón" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] 3 => array:3 [ "nombre" => "María José" "apellidos" => "Pérez-Sáez" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] 4 => array:3 [ "nombre" => "Carlos" "apellidos" => "Arias-Cabrales" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] 5 => array:3 [ "nombre" => "Marisa" "apellidos" => "Mir" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] 6 => array:3 [ "nombre" => "Albert" "apellidos" => "Francés" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] ] ] 7 => array:3 [ "nombre" => "Lluís" "apellidos" => "Fumadó" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] ] ] 8 => array:3 [ "nombre" => "Lluís" "apellidos" => "Cecchini" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] ] ] 9 => array:3 [ "nombre" => "Julio" "apellidos" => "Pascual" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] ] "afiliaciones" => array:2 [ 0 => array:3 [ "entidad" => "Servicio de Nefrología, Hospital del Mar, Barcelona, Spain" "etiqueta" => "a" "identificador" => "aff0005" ] 1 => array:3 [ "entidad" => "Servicio de Urología, Hospital del Mar, Barcelona, Spain" "etiqueta" => "b" "identificador" => "aff0010" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "cor0005" "etiqueta" => "⁎" "correspondencia" => "<span class="elsevierStyleItalic">Corresponding author</span>." ] ] ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "Factores asociados a la compensación de la función renal tras la nefrectomía para donación" ] ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig0005" "etiqueta" => "Fig. 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 820 "Ancho" => 1660 "Tamanyo" => 59497 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Decreased renal function one year post-nephrectomy.</p>" ] ] ] "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0065">Introduction</span><p id="par0005" class="elsevierStylePara elsevierViewall">Living donor kidney transplantation (LDKT) is the best renal replacement therapy (RRT) for patients with advanced chronic kidney disease (CKD). It provides an improved survival of both graft and patient, and a low rate of surgical complications as it is a programmed intervention.<a class="elsevierStyleCrossRefs" href="#bib0130"><span class="elsevierStyleSup">1,2</span></a> In Spain, LDKT accounted for 11.4% of all kidney transplants performed in 2016.<a class="elsevierStyleCrossRef" href="#bib0140"><span class="elsevierStyleSup">3</span></a> The benefits provided by this type of transplant in terms of morbidity, mortality and quality of life for recipients,<a class="elsevierStyleCrossRef" href="#bib0145"><span class="elsevierStyleSup">4</span></a> plus the advances in surgical techniques, preparation and subsequent follow-up of the donor, have made possible to be more flexible in the necessary criteria for renal donation.</p><p id="par0010" class="elsevierStylePara elsevierViewall">Renal donation does not imply biological benefits for those who voluntarily submit to it.</p><p id="par0015" class="elsevierStylePara elsevierViewall">The evolution of renal function, morbidity and mortality in kidney donors has been discussed for years but the literature is not conclusive. Some classic studies with intermediate and long-term follow-up have ruled out a higher risk of CKD or death in renal donors as compared with the general population,<a class="elsevierStyleCrossRefs" href="#bib0150"><span class="elsevierStyleSup">5,6</span></a> however more recent studies using a better matched healthy control group, find a small increase in the absolute risk of CKD in the very long term, cardiovascular disease and even death in the kidney donor.<a class="elsevierStyleCrossRefs" href="#bib0160"><span class="elsevierStyleSup">7,8</span></a> This risk could be restricted to donors related to patients with genetic causes of renal disease.<a class="elsevierStyleCrossRef" href="#bib0160"><span class="elsevierStyleSup">7</span></a> For all these reasons it is essential to carry out a meticulous and responsible selection process, informing about the risks to each potential donor and preserving the principle of autonomy in each patients.<a class="elsevierStyleCrossRef" href="#bib0170"><span class="elsevierStyleSup">9</span></a></p><p id="par0020" class="elsevierStylePara elsevierViewall">One year after donation, the remaining kidney manages to contribute up to 70% of renal function prior to nephrectomy.<a class="elsevierStyleCrossRef" href="#bib0175"><span class="elsevierStyleSup">10</span></a> Recent studies indicate that in the remnant kidney, vasodilation and increased renal plasma flow (RPF) occur immediately after nephrectomy. These changes, together with a still not well characterized process of glomerular hypertrophy, make the glomerular filtration of the remaining kidney to increase approximately 40%, without a concomitant increase in the glomerular capillary pressure.<a class="elsevierStyleCrossRefs" href="#bib0180"><span class="elsevierStyleSup">11,12</span></a> The compensatory capacity of the remaining kidney, and consequently the renal function that the donor reaches are essential to assess the degree of morbidity associated to donation. The objective of our study was to estimate the prognostic value of renal function prior to nephrectomy <span class="elsevierStyleItalic">r</span> to estimate the compensation of subsequent renal function and if there are baseline factors related to the donor that allow us to predict the degree of renal recovery from the remaining kidney. Know the differences in the compensatory response between different subgroups of donors will be useful to inform future donors.</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0070">Methods</span><p id="par0025" class="elsevierStylePara elsevierViewall">This was a retrospective observational study of a cohort of renal donors who consecutively underwent nephrectomy for renal donation between January 2001 and December 2015 at the Hospital del Mar, Barcelona.</p><p id="par0030" class="elsevierStylePara elsevierViewall">The demographic, medical and analytical characteristics were analyzed considering baseline renal function and one year post-nephrectomy of the 66 donors who completed this follow-up period.</p><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Evaluation of renal function pre-donation</span><p id="par0035" class="elsevierStylePara elsevierViewall">The glomerular filtration rate (GFR) was measured by renogram with <span class="elsevierStyleSup">99m</span>Tc-DTPA between 2 and 6 months before the nephrectomy. The estimated glomerular filtration rate (eGFR) was obtained using the plasma creatinine-based formulas MDRD-4 and CKD-EPI in the live donor study, as described in previous studies of our group.<a class="elsevierStyleCrossRef" href="#bib0190"><span class="elsevierStyleSup">13</span></a> The creatinine value closest to the date of the donation was taken as the reference.</p></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Evaluation of renal function one year after donation</span><p id="par0040" class="elsevierStylePara elsevierViewall">The assessment of renal function one year after nephrectomy was made using the MDRD-4 and CKD-EPI formulas. We evaluated the compensation of renal function at one year of donation as the percentage of eGFR reached by the remaining kidney per year with respect to baseline eGF. The calculation was performed using eGFR by MDRD-4, as in other studies,<a class="elsevierStyleCrossRefs" href="#bib0195"><span class="elsevierStyleSup">14,15</span></a> using the formula:</p><p id="par0045" class="elsevierStylePara elsevierViewall">(Renal compensation rate):(FG at one year of nephrectomy/baseline FG) * 100.</p><p id="par0050" class="elsevierStylePara elsevierViewall">We compared donors with a compensation greater and lower than 70% one year after donation and analyzed baseline characteristics to identify factors that predict the degree of renal compensation.</p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Evaluation of the absolute change of glomerular filtration rate</span><p id="par0055" class="elsevierStylePara elsevierViewall">The absolute change in eGFR was obtained by subtracting the eGFR one year after donation from the initial eGFR, (calculated by MDRD-4). Given that one year after donation the expected reduction in GFR is between 25 and 40<span class="elsevierStyleHsp" style=""></span>ml/min<a class="elsevierStyleCrossRef" href="#bib0205"><span class="elsevierStyleSup">16</span></a> we chose 40<span class="elsevierStyleHsp" style=""></span>ml/min as a cutting point to classify the donors, according to their reduction of FG per year.</p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Statistic analysis</span><p id="par0060" class="elsevierStylePara elsevierViewall">The quantitative variables with a normal distribution were shown as mean with standard deviation; the categorical variables are presented as frequency/percentage. The variables that did not follow a normal distribution were expressed as median and interquartile range. In all continuous variables the normal distribution was assessed by the Kolmogorov–Smirnoff test. Comparisons were established between the groups described by Student's “<span class="elsevierStyleItalic">t</span>” analysis for continuous variables or Chi-square or Fisher's test for categorical variables. A multivariate analysis was performed using binary logistic regression to evaluate the relationship between different baseline variables and an increase in eGFR or “compensation” of more than 70% one year after nephrectomy, expressed as OR, <span class="elsevierStyleItalic">p</span>-value and 95% confidence interval. A linear regression analysis between continuous basal variables and the rate of compensation was performed. The same analysis was performed for the absolute change of eGFR. To do this, different models were established separating the variables collinearity. All statistical analysis were performed with the SPSS program (SPSS Inc., Chicago, IL) version 20.0. A <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.05 value was considered statistically significant.</p></span></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0095">Results</span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0100">Donors characteristics</span><p id="par0065" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a> shows the baseline demographic, anthropometric and values of renal function of the donor cohort.</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia></span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0105">Evolution of renal function</span><p id="par0070" class="elsevierStylePara elsevierViewall">One year after donation, serum creatinine was significantly increased as compared with baseline (1.1 vs. 0.78<span class="elsevierStyleHsp" style=""></span>mg/dl, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.001) and a reduction in eGFR as calculated by MDRD-4 (58.9 vs. 89.3<span class="elsevierStyleHsp" style=""></span>ml/min, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.001) and by CKD-EPI (65.4 vs. 95.4<span class="elsevierStyleHsp" style=""></span>ml/min, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.001). This implies an average loss of 34% of eGFR by MDRD-4 and 31.5% by CKD-EPI in relation to the renal function (<a class="elsevierStyleCrossRef" href="#fig0005">Fig. 1</a>).</p><elsevierMultimedia ident="fig0005"></elsevierMultimedia><p id="par0075" class="elsevierStylePara elsevierViewall">One year after the donation, by MDRD-4, 2 donors (3%) maintained a eFGR of 30–45<span class="elsevierStyleHsp" style=""></span>ml/min, 38 donors (57.5%) had between 45–60<span class="elsevierStyleHsp" style=""></span>ml/min and 26 (39.4%) had a eGFR<span class="elsevierStyleHsp" style=""></span>><span class="elsevierStyleHsp" style=""></span>60<span class="elsevierStyleHsp" style=""></span>ml/min. According to CKD-EPI, one donor (1.5%) had eGFR of 30–45<span class="elsevierStyleHsp" style=""></span>ml/min, 26 (39.4%) had eGFR of 45–60<span class="elsevierStyleHsp" style=""></span>ml/min and 39 (59%) with had a GFR<span class="elsevierStyleHsp" style=""></span>><span class="elsevierStyleHsp" style=""></span>60<span class="elsevierStyleHsp" style=""></span>ml/min.</p></span><span id="sec0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0110">Evaluation of the rate of compensation to the year of the donation and predictive factors</span><p id="par0080" class="elsevierStylePara elsevierViewall">The average rate of compensation one year after the donation was 67.6<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>13.1% as assessed by MDRD4 and 69.2<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>12.1% by CKD-EPI. The profiles of the donors with compensations higher and lower than 70% after one year of donation were compared (<a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>).</p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><p id="par0085" class="elsevierStylePara elsevierViewall">The variables that predict a compensation >70% one year after donation by MDRD-4 were a higher baseline creatinine (A vs. B 0.73<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.14 vs. 0.82<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.11; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.03) and lower GFRFG estimated by either MDRD-4 (A vs. B 97.7<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>18.8 vs. 78.6<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>9.60<span class="elsevierStyleHsp" style=""></span>ml/min; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.001) or CKD-EPI (A vs. B 101.7<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>15 vs. 88.3<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>11.7<span class="elsevierStyleHsp" style=""></span>ml/min; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>≤<span class="elsevierStyleHsp" style=""></span>0.001). Age, sex, smoking, obesity or BMI, hypertension or dyslipidemia were not significantly associated with the rate of compensation of renal function. Also, the variable FGm-TcDTPA did not show association with the degree of increase in eGFR. Multivariate analysis vas performed using different models that included baseline creatinine and baseline eGFR for MDRD4 or eGFR for CKD-EPI. The baseline eGFR by MDRD-4 remained the only independent predictor of compensation, the inverse relationship being that, the higher the baseline eGFR, the lower the compensatory capacity >70%, (OR<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.94 [95% CI, 0.8–0.9], <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.04).</p><p id="par0090" class="elsevierStylePara elsevierViewall">The rate of renal function compensation showed a positive correlation with baseline creatinine (<span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.46; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.001) and a negative correlation with baseline GFR, both estimated by MDRD-4 (<span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>−0.73; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.001) as per CKD-EPI (<span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>−0.51; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.001). The compensation was 0.4% (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.001) and 0.3% (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.006) lower for each ml/min of baseline eGFR calculated by MDRD-4 and CKD-EPI respectively.</p><p id="par0095" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a> shows the evolution of the eGFR according to the rate of compensation.</p></span><span id="sec0055" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0115">Evaluation of absolute change in glomerular filtration rate</span><p id="par0100" class="elsevierStylePara elsevierViewall">The absolute change of eGFR was calculated. The eGFR decreased by 30.41<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>16 using MDRD-4 and by 30.1<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>13.5<span class="elsevierStyleHsp" style=""></span>ml/min using CKD-EPI.</p><p id="par0105" class="elsevierStylePara elsevierViewall">Donors were grouped among those with a decrease in eGFR grater or lower than of 40.9<span class="elsevierStyleHsp" style=""></span>ml/min of the baseline GFR. <a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a> shows the differences between the two groups and it is also shown shows renal after one year depending on whether the loss of GFR had been greater or lower than 40<span class="elsevierStyleHsp" style=""></span>ml/min.</p><elsevierMultimedia ident="tbl0015"></elsevierMultimedia><p id="par0110" class="elsevierStylePara elsevierViewall">Donors that had lost >40<span class="elsevierStyleHsp" style=""></span>ml/min of baseline eGFR had higher basal GFR by MDRD-4 (101.9<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>10.7 vs. 84.6<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>20.4<span class="elsevierStyleHsp" style=""></span>ml/min; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>≤<span class="elsevierStyleHsp" style=""></span>0.001) and by CKD-EPI (109.1<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>12.6 vs. 90.3<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>15.6<span class="elsevierStyleHsp" style=""></span>ml/min; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>≤<span class="elsevierStyleHsp" style=""></span>0.001).</p><p id="par0115" class="elsevierStylePara elsevierViewall">Absolute loss of eGFR showed a negative correlation with baseline creatinine (<span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>−0.3, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.001) and positive correlation with baseline eGFR, MDRD-4 (<span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.5; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.001). The absolute loss of eGFR was 0.5<span class="elsevierStyleHsp" style=""></span>ml/min greater for each ml/min of baseline eGFR (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.001).</p></span></span><span id="sec0060" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0120">Discussion</span><p id="par0120" class="elsevierStylePara elsevierViewall">In this study living kidney donors we have analyzed the effect of the renal function prior to nephrectomy as well as other baseline variables on the ability to compensate for subsequent loss of renal function after nephrectomy. The evaluation of the renal compensation rate revealed that donors with higher creatinine, and therefore a lower baseline eGFR, compensated more than those with a higher eGFR. Most published studies analyzed the ability of renal donors to achieve a certain value of eGFR, generally greater than 60<span class="elsevierStyleHsp" style=""></span>ml/min, considering that this function demonstrates an adequate evolution after donation. The proportion of donors that does not reach this value varies according to the series between 10 and 91%.<a class="elsevierStyleCrossRefs" href="#bib0200"><span class="elsevierStyleSup">15,16</span></a> Studies that assess the baseline factors associated with the recovery of baseline renal function agree that a higher baseline GFR predicts better renal function one year after donation.<a class="elsevierStyleCrossRef" href="#bib0185"><span class="elsevierStyleSup">12</span></a> Our results are similar: a higher baseline FG is a predictor of reaching >60<span class="elsevierStyleHsp" style=""></span>ml/min of eGFR a year after donation (data not shown). However, the suitability of this criterion for the evaluation of renal function is not clear. The GFR below 60<span class="elsevierStyleHsp" style=""></span>ml/min which is considered to establish CKD in the general population<a class="elsevierStyleCrossRef" href="#bib0210"><span class="elsevierStyleSup">17</span></a> is not applicable to healthy renal donors who, although suffering from a decrease in their renal mass, preserve the function of the remaining kidney.<a class="elsevierStyleCrossRefs" href="#bib0215"><span class="elsevierStyleSup">18,19</span></a></p><p id="par0125" class="elsevierStylePara elsevierViewall">Numerous studies have described the process by which the remaining kidney increases the GFR after nephrectomy of the contralateral kidney. In humans, immediately after nephrectomy the renal flow increases, so that despite the fact that half of the renal mass is removed, the GFR reaches 70% of the previous renal function.<a class="elsevierStyleCrossRefs" href="#bib0175"><span class="elsevierStyleSup">10,12</span></a> Recent morphometric studies indicate that the flow increases in parallel to the renocortical volume and the ultrafiltration coefficient, calculated using mathematical models, and conclude that the increase in post-nephrectomy GFR can be explained exclusively by the increase in flow without an increase in glomerular pressure.<a class="elsevierStyleCrossRef" href="#bib0180"><span class="elsevierStyleSup">11</span></a></p><p id="par0130" class="elsevierStylePara elsevierViewall">Consistent with previous studies, in our donors, the mean eGFR one year after donation fell to around 30% of the previous GFR.<a class="elsevierStyleCrossRef" href="#bib0205"><span class="elsevierStyleSup">16</span></a> Taking into consideration that optimal recovery is to reach 70% of baseline renal function at one year after nephrectomy, our objective was to study the evolution of renal function according to this criterion. Our results show that although donors with a higher baseline GFR are more likely to achieve a eGFR >60<span class="elsevierStyleHsp" style=""></span>C/ml/min after one year, a lower baseline eGFR is associated with greater degree compensation after the completion of one year after donation. The analysis of the absolute loss of eGFR, revealed that the donors who lost >40<span class="elsevierStyleHsp" style=""></span>ml/min of the baseline eGFR started with higher eGFR. This is due to the fact that the donors that compensate the most had a lowest absolute decrease in eGFR. The underlying physiological mechanisms that may explain this finding are unknown. A possibility is that individuals with a lower baseline GFR present more efficient compensation mechanisms (greater vasodilation capacity, greater glomerular hypertrophy, etc.). A limited number of studies in the literature have evaluated the rate of kidney compensation,<a class="elsevierStyleCrossRefs" href="#bib0195"><span class="elsevierStyleSup">14,15</span></a> therefore more studies are required and with longer follow-up time to analyze whether the renal compensation rate predicts the long-term evolution of renal function.</p><p id="par0135" class="elsevierStylePara elsevierViewall">Apart from baseline renal function, no other characteristics were identified at baseline that could predict an adequate renal compensation rate one year after donation. Although there are studies that assess the importance of some factors to reach a eGFR >60<span class="elsevierStyleHsp" style=""></span>ml/min after nephrectomy,<a class="elsevierStyleCrossRefs" href="#bib0155"><span class="elsevierStyleSup">6,16,20</span></a> there are only few studies that evaluate prognostic factors of renal compensation rate.<a class="elsevierStyleCrossRef" href="#bib0200"><span class="elsevierStyleSup">15</span></a> The results on the influence of the different factors studied are not homogeneous. Some studies have described that patients with a higher body mass index are more likely not to reach a eGFR >60<span class="elsevierStyleHsp" style=""></span>ml/min after nephrectomy,<a class="elsevierStyleCrossRefs" href="#bib0155"><span class="elsevierStyleSup">6,12</span></a> however this concept is not uniform among the authors.<a class="elsevierStyleCrossRef" href="#bib0230"><span class="elsevierStyleSup">21</span></a> Age decreases the number of nephrons and increases the degree of arteriosclerosis.<a class="elsevierStyleCrossRef" href="#bib0200"><span class="elsevierStyleSup">15</span></a> Although previous studies indicate that donors older than 60 years have lower renal function before and after nephrectomy,<a class="elsevierStyleCrossRefs" href="#bib0155"><span class="elsevierStyleSup">6,22</span></a> no significant differences were found in the percent of decrease in renal function as compared to younger donors. Dols et al.<a class="elsevierStyleCrossRef" href="#bib0240"><span class="elsevierStyleSup">23</span></a> described that after an initial decrease in the GFR, that was not different in patients older or younger that 60 years, there was no evidence of an accelerated loss of eGFR being no different than in the general population: 5–10<span class="elsevierStyleHsp" style=""></span>ml/min per decade. Recently, another study confirmed that the renal compensation rate does not differ according to age.<a class="elsevierStyleCrossRef" href="#bib0200"><span class="elsevierStyleSup">15</span></a> Most studies have not demonstrated an effect of gender per se on the evolution of renal function after nephrectomy.<a class="elsevierStyleCrossRefs" href="#bib0195"><span class="elsevierStyleSup">14,20,22</span></a> Similarly, several publications associate the African-American race with a worse long-term evolution of renal function,<a class="elsevierStyleCrossRef" href="#bib0245"><span class="elsevierStyleSup">24</span></a> although no short-term differences have been demonstrated after nephrectomy. There are also no uniform results about the role of arterial hypertension.<a class="elsevierStyleCrossRefs" href="#bib0225"><span class="elsevierStyleSup">20,25</span></a></p><p id="par0140" class="elsevierStylePara elsevierViewall">The main limitation of our study is being unicentric retrospective observational and with a limited number of donors. The low ethnic variability and low prevalence of obesity among our donors makes difficult to explore the impact of these factors. In addition the GFR was not measured after one year of nephrectomy because it was not established in our routine clinical protocol.</p><p id="par0145" class="elsevierStylePara elsevierViewall">In our experience, donors with higher creatinine and lower baseline GFR show the highest rate of renal compensation after the same period of follow-up. Only renal function reached significance as a predictor of the compensation rate. Further studies and longer follow-up are necessary to evaluate the suitability of the renal compensation rate as a criterion to evaluate the evolution of renal function in renal donors.</p></span><span id="sec0065" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0125">Financing</span><p id="par0150" class="elsevierStylePara elsevierViewall">This study has been carried out, in part, thanks to the financing of the FIS-FEDER projects PI13/00598, FIS-FEDER PI16/00617 and RETIC Redinren FEDER RD16/0009/0013 (RedinRen).</p></span><span id="sec0070" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0130">Conflicts of interest</span><p id="par0155" class="elsevierStylePara elsevierViewall">The authors declare no conflict of interest related to the content of this article</p></span></span>" "textoCompletoSecciones" => array:1 [ "secciones" => array:12 [ 0 => array:3 [ "identificador" => "xres1106897" "titulo" => "Abstract" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Introduction" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Methods" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Results" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Conclusions" ] ] ] 1 => array:2 [ "identificador" => "xpalclavsec1046356" "titulo" => "Keywords" ] 2 => array:3 [ "identificador" => "xres1106898" "titulo" => "Resumen" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0025" "titulo" => "Introducción" ] 1 => array:2 [ "identificador" => "abst0030" "titulo" => "Métodos" ] 2 => array:2 [ "identificador" => "abst0035" "titulo" => "Resultados" ] 3 => array:2 [ "identificador" => "abst0040" "titulo" => "Conclusiones" ] ] ] 3 => array:2 [ "identificador" => "xpalclavsec1046355" "titulo" => "Palabras clave" ] 4 => array:2 [ "identificador" => "sec0005" "titulo" => "Introduction" ] 5 => array:3 [ "identificador" => "sec0010" "titulo" => "Methods" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "sec0015" "titulo" => "Evaluation of renal function pre-donation" ] 1 => array:2 [ "identificador" => "sec0020" "titulo" => "Evaluation of renal function one year after donation" ] 2 => array:2 [ "identificador" => "sec0025" "titulo" => "Evaluation of the absolute change of glomerular filtration rate" ] 3 => array:2 [ "identificador" => "sec0030" "titulo" => "Statistic analysis" ] ] ] 6 => array:3 [ "identificador" => "sec0035" "titulo" => "Results" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "sec0040" "titulo" => "Donors characteristics" ] 1 => array:2 [ "identificador" => "sec0045" "titulo" => "Evolution of renal function" ] 2 => array:2 [ "identificador" => "sec0050" "titulo" => "Evaluation of the rate of compensation to the year of the donation and predictive factors" ] 3 => array:2 [ "identificador" => "sec0055" "titulo" => "Evaluation of absolute change in glomerular filtration rate" ] ] ] 7 => array:2 [ "identificador" => "sec0060" "titulo" => "Discussion" ] 8 => array:2 [ "identificador" => "sec0065" "titulo" => "Financing" ] 9 => array:2 [ "identificador" => "sec0070" "titulo" => "Conflicts of interest" ] 10 => array:2 [ "identificador" => "xack375811" "titulo" => "Acknowledgements" ] 11 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2017-10-24" "fechaAceptado" => "2018-02-26" "PalabrasClave" => array:2 [ "en" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec1046356" "palabras" => array:4 [ 0 => "Living kidney donor" 1 => "Nephrectomy" 2 => "Renal compensation rate" 3 => "Renal function" ] ] ] "es" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Palabras clave" "identificador" => "xpalclavsec1046355" "palabras" => array:4 [ 0 => "Donante renal vivo" 1 => "Nefrectomía" 2 => "Tasa compensación renal" 3 => "Función renal" ] ] ] ] "tieneResumen" => true "resumen" => array:2 [ "en" => array:3 [ "titulo" => "Abstract" "resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Introduction</span><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">Kidney transplant donors lose 50% of their renal mass after nephrectomy. The remaining kidney compensates for this loss and it is estimated that 70% of the baseline renal function prior to donation is recovered. Factors associated with post-donation renal compensation are not well understood.</p></span> <span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Methods</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">Retrospective study of 66 consecutive kidney donors (mean age 48.8 years, 74.2% women). We analyzed the potential factors associated with the compensatory mechanisms of the remaining kidney by comparing donors according to their renal compensation rate (RCR) (Group A, infra-compensation [<70%]; Group B, normal compensation [>70%]).</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Results</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">We compared Group A (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>38) and group B (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>28). Predictors for RCR<span class="elsevierStyleHsp" style=""></span>><span class="elsevierStyleHsp" style=""></span>70% were higher baseline creatinine (A vs. B: 0.73<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.14 vs. 0.82<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.11; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.03) and a lower baseline glomerular filtration rate (GFR), estimated both by MDRD-4 (A vs. B: 97.7<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>18.8 vs. 78.6<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>9.6<span class="elsevierStyleHsp" style=""></span>ml/min; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.001) and CKD-EPI (A vs. B: 101.7<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>15 vs. 88.3<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>11.7<span class="elsevierStyleHsp" style=""></span>ml/min; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>≤<span class="elsevierStyleHsp" style=""></span>0.001). Age, gender, smoking, hypertension and GFR measured by Tc-DTPA did not show any correlation with the RCR. The multivariate analysis confirmed baseline estimated glomerular filtration rate (eGFR) to be a predictor of compensation: the higher the baseline eGFR, the lower the likelihood of >70% compensation (MDRD-4, OR<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.94 [95% CI 0.8–0.9], <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.01). The compensation rate decreased by 0.4% (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.001) and 0.3% (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.006) for every ml/min increase in baseline eGFR estimated by MDRD-4 and CKD-EPI, respectively.</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Conclusions</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">One year after living donor nephrectomy, the remaining kidney partially compensates baseline renal function. In our experience, baseline eGFR is inversely proportional to the one-year renal compensation rate.</p></span>" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Introduction" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Methods" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Results" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Conclusions" ] ] ] "es" => array:3 [ "titulo" => "Resumen" "resumen" => "<span id="abst0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0035">Introducción</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">Los donantes renales pierden la mitad de su masa renal tras la nefrectomía. Se estima que el riñón remanente compensa idóneamente un 70% de la función renal previa a la donación. Los factores asociados con el grado de compensación posdonación no están bien establecidos.</p></span> <span id="abst0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">Métodos</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">Análisis retrospectivo de 66 donantes renales consecutivos. Edad media 48,8 años; 74,2% mujeres. Se estudiaron los potenciales factores asociados con la compensación del riñón remanente comparando donantes según su tasa de compensación renal (TCR) (grupo A, infra-compensación [<<span class="elsevierStyleHsp" style=""></span>70%]; grupo B compensación normal [><span class="elsevierStyleHsp" style=""></span>70%]).</p></span> <span id="abst0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Resultados</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">Comparamos los grupos A (n<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>38) y B (n<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>28). Los factores predictores de una TCR<span class="elsevierStyleHsp" style=""></span>><span class="elsevierStyleHsp" style=""></span>70% fueron una mayor creatinina basal (A vs. B 0,73<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0,14 vs. 0,82<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0,11; p<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0,03) y menor filtrado glomerular (FG), tanto estimado mediante MDRD-4 (A vs. B 97,7<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>18,8 vs. 78,6<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>9,6<span class="elsevierStyleHsp" style=""></span>ml/min; p<span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0,001) como por CKD-EPI (A vs. B 101,7<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>15 vs. 88,3<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>11,7<span class="elsevierStyleHsp" style=""></span>ml/min; p<span class="elsevierStyleHsp" style=""></span>≤<span class="elsevierStyleHsp" style=""></span>0,001). La edad, el sexo, el tabaquismo, la hipertensión o el FG medido con Tcm-DTPA no mostraron asociación con la TCR. El análisis multivariante confirmó el FGe como predictor de compensación: a mayor FG basal menor probabilidad de compensar<span class="elsevierStyleHsp" style=""></span>><span class="elsevierStyleHsp" style=""></span>70% (MDRD-4, <span class="elsevierStyleItalic">odds ratio</span> [OR]<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0,94 [IC 95%: 0,8-0,9], p<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0,01). La tasa de compensación era 0,4% (p<span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0,001) y 0,3% (p<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0,006), menor por cada ml/min de FG basal más, por MDRD-4 y CKD-EPI respectivamente.</p></span> <span id="abst0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Conclusiones</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">Un año después de la donación renal el riñón remanente compensa parcialmente la función renal basal. En nuestra experiencia el FGe basal se asocia de forma inversamente proporcional a la tasa de compensación renal al año.</p></span>" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0025" "titulo" => "Introducción" ] 1 => array:2 [ "identificador" => "abst0030" "titulo" => "Métodos" ] 2 => array:2 [ "identificador" => "abst0035" "titulo" => "Resultados" ] 3 => array:2 [ "identificador" => "abst0040" "titulo" => "Conclusiones" ] ] ] ] "NotaPie" => array:2 [ 0 => array:2 [ "etiqueta" => "☆" "nota" => "<p class="elsevierStyleNotepara" id="npar0005">Please cite this article as: Burballa C, Redondo-Pachón D, Pérez-Sáez MJ, Arias-Cabrales C, Mir M, Francés A, et al. Factores asociados a la compensación de la función renal tras la nefrectomía para donación. Nefrologia. 2018;38:528–534.</p>" ] 1 => array:2 [ "etiqueta" => "☆☆" "nota" => "<p class="elsevierStyleNotepara" id="npar0010">The study was carried out as part of Carla Burballa's doctoral thesis at the Universitat Autònoma de Barcelona.</p>" ] ] "multimedia" => array:4 [ 0 => array:7 [ "identificador" => "fig0005" "etiqueta" => "Fig. 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 820 "Ancho" => 1660 "Tamanyo" => 59497 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Decreased renal function one year post-nephrectomy.</p>" ] ] 1 => array:8 [ "identificador" => "tbl0005" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at1" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:2 [ "leyenda" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">SD: standard deviation; eGFR: estimated glomerular filtration rate; HTN: arterial hypertension.</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="left" valign="top" scope="col" style="border-bottom: 2px solid black">Age at the time of donation (mean<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>SD, years) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">48.8<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>10.0 \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Gender, women (%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">74.2 \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="elsevierStyleItalic">Race</span> (<span class="elsevierStyleItalic">n</span>, %)</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Caucasian \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">58 (87.8) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Hispanic \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">6 (9) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Black \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 (1.5) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Asian \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 (1.5) \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-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Body mass index (mean</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">±</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">SD)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">26.4<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>3.8 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Smoking (n, %)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">27 (41) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">HTN (n, %)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4 (6) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Obesity (n, %)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2 (3) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Dyslipidemia (n, %)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">22 (33) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Basal creatinine (mean</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">±</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">SD; 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">0.78<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.14 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Baseline MDRD-4 eGFR (mean</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">±</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">SD; ml/min)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">89.32<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>19.8 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">eGFR baseline CKD-EPI (mean</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">±</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">SD; ml/min)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">95.4<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>17 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Creatinine after one year mg/dl (mean</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">±</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">SD)</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<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.20 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">eGFR MDRD-4</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">ml/min per year (mean</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">±</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">SD)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">58.9<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>10.3 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">eGFR CKD-EPI ml/min per year (mean</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">±</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">SD)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">65.4<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>12.6 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Absolute change eGFR MDRD-4</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">ml/min per year (mean</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">±</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">SD)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">30.41<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>16 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Absolute change eGFR CKD-EPI ml/min per year (mean</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">±</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">SD)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">30.1<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>3.5 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Rate of Compensation using MDRD (%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">67.6<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>13.1 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Rate of Compensation using 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">69.2<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>12.1 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1894066.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">Baseline characteristics and renal function one year after nephrectomy in the donor cohort.</p>" ] ] 2 => array:8 [ "identificador" => "tbl0010" "etiqueta" => "Table 2" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at2" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:2 [ "leyenda" => "<p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">SD: standard deviation; eGFR: estimated glomerular filtration rate; mGFR measured glomerular filtration; HTN: arterial hypertension; BMI: body mass index.</p>" "tablatextoimagen" => array:2 [ 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="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Univariate analysis</th><th class="td" title="table-head " colspan="3" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Multivariate analysis</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="center" valign="top" scope="col" style="border-bottom: 2px solid black">eGFR 12<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>70% (<span class="elsevierStyleItalic">N</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>38) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">eGFR 12<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleHsp" style=""></span>><span class="elsevierStyleHsp" style=""></span>70% (<span class="elsevierStyleItalic">N</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>28) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">OR (IC 95%) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span> \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Donor age (mean<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>SD, years) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">48.8<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>11 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">48.9<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>10.7 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.9 \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-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Gender, women (<span class="elsevierStyleItalic">n</span>, %) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">29 (67) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">19 (86) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.08 \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-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Caucasian race (<span class="elsevierStyleItalic">n</span>, %) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">37 (86) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">20 (87) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.4 \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-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">IMC (mean<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>SD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">25.6<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>2.9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">27.6<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>4.6 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.04 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.05 (0.9–1.2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.5 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Smoking (<span class="elsevierStyleItalic">n</span>, %) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">20 (47) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">7 (30) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.4 \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-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">HTN (<span class="elsevierStyleItalic">n</span>, %) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 (2%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3 (13%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.08 \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-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Obesity (<span class="elsevierStyleItalic">n</span>, %) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3 (7%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">6 (26%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.09 \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-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Dyslipidemia (<span class="elsevierStyleItalic">n</span>, %) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">12 (28%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">10 (43%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.2 \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-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Basal creatinine, mg/dl (mean<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>SD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.79<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.14 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.83<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.14 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.04 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">30 (0.7–1225) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.8 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">basal eGFR by MDRD, ml/min (mean<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>SD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">94.5<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>19.4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">77.8<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>15 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.01 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.94 (0.91–0.99) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.01 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">basal eGFR by CKD-EPI (mean<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>SD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">98.6<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>14.4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">85.9<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>15 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.01 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.95 (0.9–0.99) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.01 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">mGFR: Basal 99mTc-DTPA (mean<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>SD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">102.3<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>24.4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">96.4<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>19.7 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.4 \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></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1894063.png" ] ] 1 => 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="center" valign="top" scope="col" style="border-bottom: 2px solid black">eGFR 12<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>70% (<span class="elsevierStyleItalic">N</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>38) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">eGFR 12<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleHsp" style=""></span>><span class="elsevierStyleHsp" style=""></span>70% (<span class="elsevierStyleItalic">N</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>28) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span> \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Creatinine per mg/dl (mean<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>SD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.14<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.21 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.01<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.16 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.02 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">eGFR MDRD-4<span class="elsevierStyleHsp" style=""></span>ml/min per year (mean<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>SD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">57.49<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>10.6 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">61.7<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>9.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.1 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">eGFR CKD-EPI<span class="elsevierStyleHsp" style=""></span>ml/min per year (mean<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>SD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">63.6<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>12.9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">68.9<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>11.5 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.1 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Absolute change eGFR MDRD-4<span class="elsevierStyleHsp" style=""></span>ml/min per year (mean<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>SD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">38.5<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>11.99 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">14.31<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>9.9 \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-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Absolute change eGFR CKD-EPI ml/min per year (mean<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>SD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">36.9<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>8.5 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">16.4<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>11.1 \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></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1894062.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">Prognostic factors for a renal function compensation rate greater than 70% after one year (12 m) of donation and evolution of renal function after one year of donation according to compensation rate > or <70%.</p>" ] ] 3 => array:8 [ "identificador" => "tbl0015" "etiqueta" => "Table 3" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at3" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:2 [ "leyenda" => "<p id="spar0075" class="elsevierStyleSimplePara elsevierViewall">SD: standard deviation; eGFR: estimated glomerular filtration rate; mGFR measured glomerular filtration rate; HTN: arterial hypertension; BMI: body mass index.</p>" "tablatextoimagen" => array:2 [ 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="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Univariate analysis</th><th class="td" title="table-head " colspan="3" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Multivariate analysis</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="center" valign="top" scope="col" style="border-bottom: 2px solid black">Absolute change eGFR 12<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleHsp" style=""></span>><span class="elsevierStyleHsp" style=""></span>40<span class="elsevierStyleHsp" style=""></span>ml/min \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Absolute change eGFR 12<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>40<span class="elsevierStyleHsp" style=""></span>ml/min \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">OR (CI 95%) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span> \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Donor age (mean, years) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">45.6<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>13.3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">50<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>9.6 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.1 \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-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Gender, woman (<span class="elsevierStyleItalic">n</span>, %) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">10 (5.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">39 (81.2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.03 \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-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Caucasian (<span class="elsevierStyleItalic">n</span>, %) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">15 (83.3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">43 (89.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.5 \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-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">BMI (mean<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>SD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">25.6<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>2.6 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">26.5<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.05 (0.9–1.2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.5 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Smoking (<span class="elsevierStyleItalic">n</span>, %) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">9 (50) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">18 (37.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.3 \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-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">HTN (<span class="elsevierStyleItalic">n</span>, %) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0 (0) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4 (8.3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.2 \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-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Obesity (<span class="elsevierStyleItalic">n</span>, %) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0 (0) \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) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.2 \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-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Dyslipidemia (<span class="elsevierStyleItalic">n</span>, %) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3 (16.6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">19 (39.6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.07 \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-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Basal creatinine, mg/dl (mean<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>SD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.72<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.12 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.80<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>015 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.06 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">30 (0.7–1225) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.8 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Basal eGFR (MDRD) ml/min (mean<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>SD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">101.86<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>10.7 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">84.62<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>20.4 \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">0.94 (0.91–0.99) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.01 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Basal eGFR (CKD-EPI) ml/min (mean<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>SD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">109.1<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>12.6 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">90.3<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>15.6 \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">0.95 (0.9–0.99) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.01 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Basal mGFR, (99<span class="elsevierStyleHsp" style=""></span>m Tc-DTPA) (mean<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>SD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">108.7<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>25.4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">97.2<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>20.5 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.08 \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></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1894064.png" ] ] 1 => 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="center" valign="top" scope="col" style="border-bottom: 2px solid black">Absolute change in eGFR 12<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleHsp" style=""></span>><span class="elsevierStyleHsp" style=""></span>40<span class="elsevierStyleHsp" style=""></span>ml/min \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Absolute change in eGFR 12<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>40<span class="elsevierStyleHsp" style=""></span>ml/min \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span> \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Serum Creatinine after one year, mg/dl (mean<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>SD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.14<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.21 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.01<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.16 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.02 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">eGFR, ml/min (MDRD-4) after one year(mean<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>SD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">57.49<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>10.6 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">61.7<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>9.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.1 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">eGFR, ml/min (CKD-EPI) after one year (mean<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>SD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">63.6<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>12.9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">68.9<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>11.5 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.1 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Absolute change in eGFR (ml/min) after one year (MDRD-4) (mean<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>SD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">38.5<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>11.99 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">14.31<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>9.9 \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-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Absolute change in eGFR (ml/min) after one year (CKD-EPI) (mean<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>SD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">36.9<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>8.5 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">16.4<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>11.1 \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></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1894065.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0070" class="elsevierStyleSimplePara elsevierViewall">Prognostic factors of a loss of eGFR<span class="elsevierStyleHsp" style=""></span>><span class="elsevierStyleHsp" style=""></span>40<span class="elsevierStyleHsp" style=""></span>ml/min with respect to baseline renal function one year (12<span class="elsevierStyleHsp" style=""></span>m) after donation and the evolution of renal function according to absolute loss of GFR with respect to basal: > or <40<span class="elsevierStyleHsp" style=""></span>ml/min.</p>" ] ] ] "bibliografia" => array:2 [ "titulo" => "References" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "bibs0015" "bibliografiaReferencia" => array:25 [ 0 => array:3 [ "identificador" => "bib0130" "etiqueta" => "1" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "El trasplante renal de donante vivo en España: una gran oportunidad" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:2 [ 0 => "B. 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| Year/Month | Html | Total | |
|---|---|---|---|
| 2024 November | 9 | 5 | 14 |
| 2024 October | 88 | 49 | 137 |
| 2024 September | 99 | 31 | 130 |
| 2024 August | 167 | 88 | 255 |
| 2024 July | 135 | 34 | 169 |
| 2024 June | 110 | 43 | 153 |
| 2024 May | 108 | 31 | 139 |
| 2024 April | 109 | 44 | 153 |
| 2024 March | 108 | 40 | 148 |
| 2024 February | 124 | 40 | 164 |
| 2024 January | 114 | 35 | 149 |
| 2023 December | 90 | 34 | 124 |
| 2023 November | 114 | 50 | 164 |
| 2023 October | 126 | 28 | 154 |
| 2023 September | 134 | 34 | 168 |
| 2023 August | 109 | 24 | 133 |
| 2023 July | 141 | 39 | 180 |
| 2023 June | 125 | 29 | 154 |
| 2023 May | 151 | 37 | 188 |
| 2023 April | 103 | 28 | 131 |
| 2023 March | 132 | 36 | 168 |
| 2023 February | 94 | 31 | 125 |
| 2023 January | 78 | 36 | 114 |
| 2022 December | 110 | 43 | 153 |
| 2022 November | 87 | 53 | 140 |
| 2022 October | 104 | 74 | 178 |
| 2022 September | 77 | 36 | 113 |
| 2022 August | 77 | 44 | 121 |
| 2022 July | 63 | 42 | 105 |
| 2022 June | 77 | 53 | 130 |
| 2022 May | 87 | 31 | 118 |
| 2022 April | 63 | 50 | 113 |
| 2022 March | 69 | 48 | 117 |
| 2022 February | 79 | 47 | 126 |
| 2022 January | 107 | 50 | 157 |
| 2021 December | 79 | 59 | 138 |
| 2021 November | 66 | 36 | 102 |
| 2021 October | 77 | 59 | 136 |
| 2021 September | 94 | 41 | 135 |
| 2021 August | 110 | 48 | 158 |
| 2021 July | 122 | 44 | 166 |
| 2021 June | 82 | 34 | 116 |
| 2021 May | 72 | 48 | 120 |
| 2021 April | 139 | 82 | 221 |
| 2021 March | 114 | 43 | 157 |
| 2021 February | 105 | 43 | 148 |
| 2021 January | 86 | 31 | 117 |
| 2020 December | 85 | 18 | 103 |
| 2020 November | 183 | 23 | 206 |
| 2020 October | 56 | 31 | 87 |
| 2020 September | 72 | 41 | 113 |
| 2020 August | 76 | 29 | 105 |
| 2020 July | 93 | 27 | 120 |
| 2020 June | 79 | 51 | 130 |
| 2020 May | 100 | 26 | 126 |
| 2020 April | 77 | 25 | 102 |
| 2020 March | 81 | 23 | 104 |
| 2020 February | 100 | 24 | 124 |
| 2020 January | 102 | 39 | 141 |
| 2019 December | 99 | 32 | 131 |
| 2019 November | 115 | 40 | 155 |
| 2019 October | 129 | 23 | 152 |
| 2019 September | 138 | 28 | 166 |
| 2019 August | 104 | 38 | 142 |
| 2019 July | 99 | 48 | 147 |
| 2019 June | 60 | 31 | 91 |
| 2019 May | 84 | 43 | 127 |
| 2019 April | 127 | 59 | 186 |
| 2019 March | 49 | 26 | 75 |
| 2019 February | 37 | 24 | 61 |
| 2019 January | 52 | 41 | 93 |
| 2018 December | 107 | 45 | 152 |
| 2018 November | 119 | 28 | 147 |
| 2018 October | 8 | 0 | 8 |
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