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Different models were calculated including donor age as a continuous variable, donor age above 60 years, expanded criteria donor definition, KDPI (continuous variable) or different cut-off levels for KDPI.</p>" ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "Carlos Arias-Cabrales, María José Pérez-Sáez, Dolores Redondo-Pachón, Anna Buxeda, Carla Burballa, Sheila Bermejo, Adriana Sierra, Marisa Mir, Andrea Burón, Ana Zapatero, Marta Crespo, Julio Pascual" "autores" => array:12 [ 0 => array:2 [ "nombre" => "Carlos" "apellidos" => "Arias-Cabrales" ] 1 => array:2 [ "nombre" => "María José" "apellidos" => "Pérez-Sáez" ] 2 => array:2 [ "nombre" => "Dolores" "apellidos" => "Redondo-Pachón" ] 3 => array:2 [ "nombre" => "Anna" "apellidos" => "Buxeda" ] 4 => array:2 [ "nombre" => "Carla" "apellidos" => "Burballa" ] 5 => array:2 [ "nombre" => "Sheila" "apellidos" => "Bermejo" ] 6 => array:2 [ "nombre" => "Adriana" "apellidos" => "Sierra" ] 7 => array:2 [ "nombre" => "Marisa" "apellidos" => "Mir" ] 8 => array:2 [ "nombre" => "Andrea" "apellidos" => "Burón" ] 9 => array:2 [ "nombre" => "Ana" "apellidos" => "Zapatero" ] 10 => array:2 [ "nombre" => "Marta" "apellidos" => "Crespo" ] 11 => array:2 [ "nombre" => "Julio" "apellidos" => "Pascual" ] ] ] ] ] "idiomaDefecto" => "en" "Traduccion" => array:1 [ "en" => array:9 [ "pii" => "S2013251418301184" "doi" => "10.1016/j.nefroe.2018.03.012" "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/S2013251418301184?idApp=UINPBA000064" ] ] "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S0211699518300675?idApp=UINPBA000064" "url" => "/02116995/0000003800000005/v1_201810110611/S0211699518300675/v1_201810110611/en/main.assets" ] ] "itemSiguiente" => array:20 [ "pii" => "S2013251418301172" "issn" => "20132514" "doi" => "10.1016/j.nefroe.2018.02.015" "estado" => "S300" "fechaPublicacion" => "2018-09-01" "aid" => "488" "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;38:514-9" "abierto" => array:3 [ "ES" => true "ES2" => true "LATM" => true ] "gratuito" => true "lecturas" => array:2 [ "total" => 1340 "formatos" => array:3 [ "EPUB" => 171 "HTML" => 737 "PDF" => 432 ] ] "en" => array:13 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Original article</span>" "titulo" => "Serum 25-hydroxyvitamin D level is negatively associated with serum phosphorus level among stage 3a-5 chronic kidney disease patients" "tienePdf" => "en" "tieneTextoCompleto" => "en" "tieneResumen" => array:2 [ 0 => "en" 1 => "es" ] "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "514" "paginaFinal" => "519" ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "El nivel de 25-hidroxivitamina D sérica está asociado negativamente con el nivel de fósforo sérico en pacientes con enfermedad renal crónica en estadio 3a-5" ] ] "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" => "fig0015" "etiqueta" => "Fig. 3" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr3.jpeg" "Alto" => 855 "Ancho" => 1594 "Tamanyo" => 163909 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">Pearson correlation between serum PTH and serum 25 hydroxy vitamin D.</p>" ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "Ahmed Fayed, Mahmoud M. 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class="elsevierStyleSup">b</span>" "identificador" => "aff0020" ] ] ] 10 => array:3 [ "nombre" => "Marta" "apellidos" => "Crespo" "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0010" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0020" ] ] ] 11 => array:4 [ "nombre" => "Julio" "apellidos" => "Pascual" "email" => array:1 [ 0 => "julpascual@gmail.com" ] "referencia" => array:3 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0010" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0020" ] 2 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">*</span>" "identificador" => "cor0005" ] ] ] ] "afiliaciones" => array:4 [ 0 => array:3 [ "entidad" => "IMIM (Hospital del Mar Research Institute), Barcelona, Spain" "etiqueta" => "a" "identificador" => "aff0010" ] 1 => array:3 [ "entidad" => "Department of Intensive Care Medicine, Transplant Coordination Unit, Hospital del Mar, Barcelona, Spain" "etiqueta" => "b" "identificador" => "aff0020" ] 2 => array:3 [ "entidad" => "Epidemiology and Evaluation Department, Hospital del Mar, Barcelona, Spain" "etiqueta" => "c" "identificador" => "aff0025" ] 3 => array:3 [ "entidad" => "REDISSEC (Health Services Research on Chronic Patients Network), Madrid, Spain" "etiqueta" => "d" "identificador" => "aff0015" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "cor0005" "etiqueta" => "⁎" "correspondencia" => "<span class="elsevierStyleItalic">Corresponding author</span>." ] ] ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "Utilidad del índice KDPI en España: una comparación con la edad del donante y la definición de donante con criterios de selección estándar/ampliados" ] ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig0015" "etiqueta" => "Fig. 3" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr3.jpeg" "Alto" => 3219 "Ancho" => 2505 "Tamanyo" => 635714 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">Variables affecting graft loss in multivariate analyses. Different models were calculated including donor age as a continuous variable, donor age above 60 years, expanded criteria donor definition, KDPI (continuous variable) or different cut-off levels for KDPI.</p>" ] ] ] "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0065">Introduction</span><p id="par0005" class="elsevierStylePara elsevierViewall">The gap between organ supply and the number of patients requiring kidney transplantation (KT) becomes larger along the time.<a class="elsevierStyleCrossRef" href="#bib0160"><span class="elsevierStyleSup">1</span></a> In addition, age and comorbidity have increased in parallel both in donors and recipients,<a class="elsevierStyleCrossRefs" href="#bib0165"><span class="elsevierStyleSup">2–3</span></a> so the evaluation and the use of organs from so-called suboptimal donors has become routine. The dilemma that transplant physicians face every day is whether to accept a kidney from an old donor associated with lower allograft survival<a class="elsevierStyleCrossRefs" href="#bib0175"><span class="elsevierStyleSup">4–5</span></a> or to discard the organ, remaining the patient on dialysis with a considerable mortality risk while waiting for the next offer.<a class="elsevierStyleCrossRefs" href="#bib0185"><span class="elsevierStyleSup">6–8</span></a> The development of score tools may help to discriminate organs that can achieve enough renal function for a particular recipient and therefore could be safely accepted, is a prime necessity in order to reduce high organ discarded rates.</p><p id="par0010" class="elsevierStylePara elsevierViewall">Donor age is the most classical factor taken into account for accepting or not a kidney, as older age is related with lower patient and graft survival.<a class="elsevierStyleCrossRefs" href="#bib0170"><span class="elsevierStyleSup">3,6</span></a> However, several studies have confirmed the survival benefit with KT, even from very old donors, compared with remaining on dialysis.<a class="elsevierStyleCrossRefs" href="#bib0185"><span class="elsevierStyleSup">6–8</span></a> Therefore, age itself should not be a limiting parameter to accept or discard a kidney graft.</p><p id="par0015" class="elsevierStylePara elsevierViewall">More than fifteen years ago, new criteria were established for the categorization of the donor as expanded (ECD) or standard (SCD) according with four donor variables: age, donor creatinine, cause of death, and history of hypertension.<a class="elsevierStyleCrossRef" href="#bib0200"><span class="elsevierStyleSup">9</span></a> This classification has been widely accepted and used worldwide during the last decade. Many studies have reported higher risk of graft failure (return to dialysis or patient death) and/or primary non-function with ECD kidneys than with SCD ones.<a class="elsevierStyleCrossRefs" href="#bib0205"><span class="elsevierStyleSup">10,11</span></a> However, some studies have also shown the benefit of receiving an ECD KT over remaining on dialysis.<a class="elsevierStyleCrossRefs" href="#bib0185"><span class="elsevierStyleSup">6,7,12</span></a> In addition, external validation of the ECD criteria in non-US kidney transplant centers and correlation with outcomes have been quite poor.<a class="elsevierStyleCrossRef" href="#bib0220"><span class="elsevierStyleSup">13</span></a> Overall, SCD/ECD classification has been more useful for scientific purposes than as a practical tool to discard organs in our setting.</p><p id="par0020" class="elsevierStylePara elsevierViewall">Recently, the Organ Procurement Transplant Network (OPTN) has developed the Kidney Donor Risk Index (KDRI) and Profile Index (KDPI) in the US, looking for improving the predictive ability for poor outcomes of the SCD/ECD classification.<a class="elsevierStyleCrossRefs" href="#bib0225"><span class="elsevierStyleSup">14,15</span></a> The KDPI is a percentile measure designed to characterize donor-associated risks of the deceased donor kidneys. Higher KDPI values are associated with poorer donor quality and vice versa. In the setting of the US allocation system, a donor with a KDPI >85% is thought to be equivalent to an ECD donor and is considered as a high-risk kidney.<a class="elsevierStyleCrossRef" href="#bib0230"><span class="elsevierStyleSup">15</span></a></p><p id="par0025" class="elsevierStylePara elsevierViewall">KDPI is a continuous scale based on more donor characteristics than previous classifications (10 for KDPI vs. 4 for ECD). However, despite being an improved prediction tool over ECD, KDPI has only shown a moderate predictive power.<a class="elsevierStyleCrossRefs" href="#bib0225"><span class="elsevierStyleSup">14–16</span></a> In addition, as this index has been developed only with US implanted kidneys, the tool applicability to other places with different allocation systems, outcomes and demographic characteristics is unknown and may not achieve the quality standard for outcome predictions.<a class="elsevierStyleCrossRefs" href="#bib0235"><span class="elsevierStyleSup">16–19</span></a></p><p id="par0030" class="elsevierStylePara elsevierViewall">Our aim was to evaluate the usefulness of KDPI in our KT population. We performed a study assessing the outcomes of deceased donor kidney transplants (DDKT) according to the donor age, the SCD/ECD classification and the KDPI score.</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0070">Material and methods</span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Study design and data collection</span><p id="par0035" class="elsevierStylePara elsevierViewall">This was a retrospective patient cohort based study. The initial study cohort included 505 DDKT performed in our center between January 2004 and December 2014. We excluded KT from donors younger than 18 years old (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>10), living donor KT (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>56) and all cases with missing data necessary to calculate the KDPI score (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>50). Finally, 389 DDKT in 377 patients were analyzed.</p><p id="par0040" class="elsevierStylePara elsevierViewall">Clinical data were collected from our local transplant database which includes: baseline demographic characteristics from donors and recipients, transplant characteristics and clinical follow-up variables periodically registered, complications and patient/graft survival. The study was undertaken following the principles in the World Medical Association Declaration of Helsinki, only relying in the official center database.</p></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Definitions</span><p id="par0045" class="elsevierStylePara elsevierViewall">ECDs were defined by the United Network for Organ Sharing (UNOS) criteria as following: age greater than or equal to 60 years old, or age between 50 and 59 years old with at least two risk factors, including death by cerebrovascular accident, history of hypertension, and a creatinine level greater than 1.5<span class="elsevierStyleHsp" style=""></span>mg/dl.<a class="elsevierStyleCrossRef" href="#bib0200"><span class="elsevierStyleSup">9</span></a></p><p id="par0050" class="elsevierStylePara elsevierViewall">KDPI was calculated from donor variables including age, race, diabetes, hypertension, serum creatinine, height, weight, hepatitis C seropositive, and cause of death, using the method described by the OPTN.<a class="elsevierStyleCrossRefs" href="#bib0225"><span class="elsevierStyleSup">14,15</span></a></p><p id="par0055" class="elsevierStylePara elsevierViewall">Delayed graft function was defined as the need of at least one dialysis session within first week after kidney transplantation.<a class="elsevierStyleCrossRef" href="#bib0255"><span class="elsevierStyleSup">20</span></a></p><p id="par0060" class="elsevierStylePara elsevierViewall">Hard outcomes evaluated were: patient death, graft failure (defined as the need of renal replacement therapy, preemptive re-transplantation or death with functioning graft), and death-censored graft failure.</p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Variables</span><p id="par0065" class="elsevierStylePara elsevierViewall">Donor variables included in ECD and KDPI definitions were considered, as well as recipient variables, such as age, sex, ethnicity, hypertension, diabetes, hepatitis C virus, hepatitis B virus, cardiac disease, peripheral vascular disease, underlying kidney disease, maximum cytotoxic panel reactive antibody (PRA) prior to transplant and time on dialysis before transplant. Some transplant variables were also collected: cold ischemic time, delayed graft function and acute rejection proven by biopsy.</p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Statistical analysis</span><p id="par0070" class="elsevierStylePara elsevierViewall">Quantitative variables with a normal distribution are expressed as mean and standard deviation (SD) and the remaining as median and interquartile range [IQR]. Survival curves were performed by Kaplan–Meier analysis and Cox univariate and multivariate analyses were performed. Results are expressed as hazard ratio (HR) with their 95% confidence intervals (95% CIs). In the multivariate analysis only those variables with a <span class="elsevierStyleItalic">p</span> value <0.05 were included. We performed three different multivariate models of survival analysis (patient, graft and death-censored graft survival) for each predictor (donor age, SCD/ECD and KDPI scores). The variable acute rejection proven by biopsy was included as time-dependent covariate in both graft and death-censored graft survival analyses.</p><p id="par0075" class="elsevierStylePara elsevierViewall">We also performed receiver operational characteristic (ROC) curves for assessing the predictive ability of both donor age and KDPI for estimating graft-failure and death-censored graft-failure. The value of marker defined as cut-off was determined by the maximum of Youden index (<span class="elsevierStyleItalic">J</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>sensitivity<span class="elsevierStyleHsp" style=""></span>+<span class="elsevierStyleHsp" style=""></span>specificity<span class="elsevierStyleHsp" style=""></span>−<span class="elsevierStyleHsp" style=""></span>1).</p><p id="par0080" class="elsevierStylePara elsevierViewall">A <span class="elsevierStyleItalic">p</span> value <0.05 was considered statistically significant. Statistical analysis was performed using SPSS V 21.0 (SPSS Inc., Chicago, IL).</p></span></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0095">Results</span><p id="par0085" class="elsevierStylePara elsevierViewall">A total of 505 KT were performed in our center between January 2004 and December 2014. Of them, 389 KT done in 377 patients fully met inclusion criteria. The median time of follow-up was 51.9 months [IQR, 24.6–88.6]. The baseline characteristics of recipients, donors, and kidney transplants are shown in <a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>.</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><p id="par0090" class="elsevierStylePara elsevierViewall">We registered ninety-three graft losses during the follow-up; 53 death-censored graft losses and 40 patients who died with a functioning kidney.</p><p id="par0095" class="elsevierStylePara elsevierViewall">Univariate Cox analysis showed that donor age, ECD status and KDPI score were related with higher risk of patient death, graft failure and death-censored graft failure (<a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>). Same results were obtained with Kaplan–Meier survival curves (<a class="elsevierStyleCrossRef" href="#fig0005">Fig. 1</a>).</p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><elsevierMultimedia ident="fig0005"></elsevierMultimedia><p id="par0100" class="elsevierStylePara elsevierViewall">In the multivariate Cox analysis, the variables associated with higher risk of patient death were recipient age at the time of transplantation (HR 1.08 [95%CI, 1.02–1.15]; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.013) and recipient cardiac disease (HR 3.56 [1.17–10.78]; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.025) (<a class="elsevierStyleCrossRef" href="#fig0010">Fig. 2</a>). In the analysis of the risk of graft failure, donor age as a continuous variable was not a risk factor. However, when donor age was transformed into a dichotomous variable (<60 or ≥60 years), an increased risk of graft failure was observed for those recipients who received an organ from a donor ≥60 years (HR 2.07 [1.084–6.27]; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.032). We also found that both recipient age at the time of transplant (HR 1.05 [1.01–1.09]; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.042), acute rejection (HR 2.36 [1.14–4.85]; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.020), and delayed graft function (HR 2.41 [1.17–4.95]; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.016) were significant variables that influenced graft failure (<a class="elsevierStyleCrossRef" href="#fig0015">Fig. 3</a>). Acute rejection (HR 3.40 [1.59–7.24]; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.001) and delayed graft function (HR 3.20 [1.39–7.34]; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.006) also had a negative impact on death-censored graft failure (<a class="elsevierStyleCrossRef" href="#fig0020">Fig. 4</a>).</p><elsevierMultimedia ident="fig0010"></elsevierMultimedia><elsevierMultimedia ident="fig0015"></elsevierMultimedia><elsevierMultimedia ident="fig0020"></elsevierMultimedia><p id="par0105" class="elsevierStylePara elsevierViewall">When ECD was included as a predictor factor in the multivariate analysis, no impact was detected on patient death, graft failure or death-censored graft failure (<a class="elsevierStyleCrossRefs" href="#fig0010">Figs. 2–4</a>).</p><p id="par0110" class="elsevierStylePara elsevierViewall">On the other hand, the multivariate analysis showed a 3% higher risk for graft failure per each percentage point of KDPI increase (HR 1.03 [1.01–1.05]; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.014). In addition, considering different KDPI cutoffs produced different HR values, corresponding the highest HR to a KDPI greater or equal than 60% (HR 4.50 [1.33–13.40]; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.014]. Interestingly, KDPI values higher than 90% or lower than 55% had no significant impact on graft failure. KDPI as a continuous variable and the different KDPI cutoffs failed to show a significant association with patient death or death-censored graft failure (<a class="elsevierStyleCrossRefs" href="#fig0010">Figs. 2–4</a>).</p><p id="par0115" class="elsevierStylePara elsevierViewall">Both KDPI and donor age ROC curves showed a moderate but significant predictive ability discriminating graft failure and death-censored graft failure (<a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a>).</p><elsevierMultimedia ident="tbl0015"></elsevierMultimedia></span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0100">Discussion</span><p id="par0120" class="elsevierStylePara elsevierViewall">The present study evaluated the predictive value of three different ways (donor age, the SCD/ECD classification and the KDPI score) of assessing the quality of deceased kidney donors at the time of transplant on outcomes. Initial univariate survival analysis showed that all three predicted patient death, graft failure and death-censored graft failure. Nevertheless multivariate adjustment including other significant variables evidenced a poor correlation, exposing a weak predictor power for these tools in our cohort. Donor age above 60 years was marginally related to prognosis, but donor age as a continuous variable was not significantly related. Unlike SCD/ECD classification, KDPI was related with an independent higher risk of graft failure, highlighting the relevance of other factors such as recipient age, acute rejection and delayed graft function in worse outcomes.</p><p id="par0125" class="elsevierStylePara elsevierViewall">Some studies have described a negative impact of donor age on graft survival, especially for donors older than 60 years old.<a class="elsevierStyleCrossRefs" href="#bib0175"><span class="elsevierStyleSup">4,5,21</span></a> Most of these studies were performed in the US, where the population comprises different demographic and epidemiological characteristics and makes inaccurate the interpretation of the results in our population. In our cohort, over one-third of donors were older than 60 years old. The unadjusted analysis of patient and graft survival showed inferior results for those recipients that received a kidney from an older donor. However, the negative effect of donor age was only observed in increased risk of graft failure among recipients older than 60 years. Other factors showed stronger influence (recipient age in patient death and delayed graft function/acute rejection in graft failure). In 2004, a multicenter European study including more than 3000 patients showed that the higher the donor age was, the poorer the patient and graft survival.<a class="elsevierStyleCrossRef" href="#bib0265"><span class="elsevierStyleSup">22</span></a> In contrast to our study, death-censored graft survival was not evaluated, being patient death the second cause for graft loss. Probably, the absence of this aspect in the analysis weakens the applicability of the results. Furthermore, another reason that could explain the discordant results with our study is the exclusion of acute rejection in the multivariate analysis. Acute rejection shows a strong association with an increased risk of graft loss in our cohort mitigating the weight of donor age.</p><p id="par0130" class="elsevierStylePara elsevierViewall">Besides age, donor comorbidities such as established hypertension and death from cerebrovascular accident are also surrogate markers of poorer graft function and survival. In order to incorporate these parameters as a guide in the organ acceptance decision-making, the concept of ECD was introduced in the US in 2002.<a class="elsevierStyleCrossRef" href="#bib0200"><span class="elsevierStyleSup">9</span></a> Several publications reported worse survival with ECD kidneys than with SCD ones,<a class="elsevierStyleCrossRef" href="#bib0270"><span class="elsevierStyleSup">23</span></a> but others, mainly developed in European settings, showed similar outcomes.<a class="elsevierStyleCrossRef" href="#bib0275"><span class="elsevierStyleSup">24</span></a> Querard <span class="elsevierStyleItalic">et al.</span> has recently performed a meta-analysis to evaluate the different impact of SCD/ECD kidneys on outcomes,<a class="elsevierStyleCrossRef" href="#bib0220"><span class="elsevierStyleSup">13</span></a> concluding that the use of ECD donors associates with higher risks of patient death and graft failure.<a class="elsevierStyleCrossRef" href="#bib0280"><span class="elsevierStyleSup">25</span></a> The main limitation of this meta-analysis is that the five publications included reported US experiences and therefore the external validation of these results is questionable. In our study, 41.9% of donors were classified as ECD. Despite of an impact of ECD vs. SCD in the unadjusted analysis and survival curves on hard outcomes, these findings were not confirmed when adjusted in the multivariate analysis.</p><p id="par0135" class="elsevierStylePara elsevierViewall">In an attempt to improve the predictive ability of the SCD/ECD classification based on four variables, the system of donation and transplantation US has developed the Kidney Donor Profile Index (KDPI). Lower KDPI values are associated with better donor quality and long expected longevity.<a class="elsevierStyleCrossRefs" href="#bib0225"><span class="elsevierStyleSup">14,15</span></a> In 2014, from a total of 11,807 DDKT performed in the US, only 965 (8.9%) came from a donor with a KDPI score >85%. Data provided for OPTN/SRTR from KT performed between 2004 and 2011, showed lower graft survival with higher KDPI values, falling from 80.6% 5-year survival with kidneys from donors with a KDPI <20%, to 60% in KT from donors with a KDPI higher than 85%.<a class="elsevierStyleCrossRef" href="#bib0285"><span class="elsevierStyleSup">26</span></a> In our cohort, the median KDPI score was 69.3%, and 35% of all donors had a KDPI higher that 85%. However, we noticed better results than previously described in the US cohorts in terms of 5-year graft survival, presenting with 87.5% in KT from donors with KDPI 20–84.9% and 69% in KT from donors with KDPI ≥85%. KDPI was clearly related with higher risks of patient death and graft failure in the univariate analysis, but similar to the other two scores evaluated before, when we performed the multivariate analysis this influence become more diffuse. KDPI maintained a significant adjusted correlation with a higher risk of graft failure, with a significant 3% of increased risk of graft failure per each point of KDPI increased. Additionally, we analyzed the impact of KDPI according to different cutoffs and found an increased risk of uncensored graft failure in kidneys with a KDPI between 60% and 85%, without statistically significance above or below this values. We hypothesized that the absence of higher risk of graft failure with KDPIs below 60% or over 90% could be related to a potential positive effect of better matching among lower KDPI donors with younger recipients and among older donors with the highest KDPI values with older recipients, both settings related with lower risk of graft failure. As Tullius <span class="elsevierStyleItalic">et al</span>. reported, immunosenescence may contribute to the relative low risks associated with low quality kidneys.<a class="elsevierStyleCrossRef" href="#bib0290"><span class="elsevierStyleSup">27</span></a> Accordingly, Hernandez <span class="elsevierStyleItalic">et al</span>. showed that kidneys with very low quality, defined by the authors as kidneys from donors with KDPI between 81 and 100% had lower relative risk of graft loss among the recipients ≥80 years old compared to recipients <80 years old.<a class="elsevierStyleCrossRef" href="#bib0295"><span class="elsevierStyleSup">28</span></a> In our cohort, those recipients who received a kidney from a donor with a KDPI >90% had a mean age of 67<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>6.9 years and those who received a kidney from a donor with a KDPI >60% of 44.4<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>10.6 years. These data can be supported by recent results from our group, which show that younger recipients are the ones to get the major benefit receiving a kidney from a very old donor (≥75 years) in terms of better survival compared to those who remained on dialysis waiting for a better kidney.<a class="elsevierStyleCrossRef" href="#bib0185"><span class="elsevierStyleSup">6</span></a> However, this finding also could also be secondary to a smaller comparative sample sizes in the extreme KDPI values in our cohort.</p><p id="par0140" class="elsevierStylePara elsevierViewall">The KDRI-AUC for graft loss reported in the US population is 0.60.<a class="elsevierStyleCrossRef" href="#bib0225"><span class="elsevierStyleSup">14</span></a> Although we found similar values both for donor age and KDPI, this should not be considered as high discriminative ability for graft-failure as acceptable values are over 0.70.<a class="elsevierStyleCrossRef" href="#bib0235"><span class="elsevierStyleSup">16</span></a></p><p id="par0145" class="elsevierStylePara elsevierViewall">There is not enough evidence to validate the KDPI as an organ quality assessment tool in a non-American transplant program with different allocation systems and different KT outcomes. To our knowledge, few studies have assessed KT outcomes related with KDPI score in non-American cohorts. Gandolfini et al. associated higher KDPI values with poorer graft outcomes in an Italian cohort of 442 marginal kidneys allocated to a single or a dual kidney transplantation.<a class="elsevierStyleCrossRef" href="#bib0300"><span class="elsevierStyleSup">29</span></a> The study was designed to evaluate the utility of pretransplant donor biopsy in order to decrease the discarded rate of organs with high KDPI values. In contrast, we analyzed the graft survival taking into account other variables as donor age or ECD/SCD classification. In addition, they only consider kidneys from marginal donors missing information for lower values of KDPI. A Korean study evaluated the predictive value of ECD/SCD, KDRI (the index from which the KDPI is derived) and the time zero biopsy regarding 1-year graft survival and graft function in 362 DDKT cases.<a class="elsevierStyleCrossRef" href="#bib0305"><span class="elsevierStyleSup">30</span></a> After the multivariate analysis, KDRI was correlated to overall graft survival at one year. In this study patient death and death-censored graft failure were not analyzed and the follow-up was shorter than in our study.</p><p id="par0150" class="elsevierStylePara elsevierViewall">Very recently, Sanchez-Escudero et al. reported kidney graft survival stratified by KDPI and pre-transplant donor biopsy Remuzzi score. The authors concluded that graft survival in patients that received organs with the highest KPDI values (>91%), was similar between kidneys with Remuzzi score 0–3 than 4. Therefore, they postulated pre-tansplant donor biopsy as a supporting tool to accept or reject an organ with a high KDPI value.<a class="elsevierStyleCrossRef" href="#bib0310"><span class="elsevierStyleSup">31</span></a> However, this study did not compare in the utility of KDPI score vs. SCD/ECD classification or donor age itself to evaluate the donor eligibility in our environment.</p><p id="par0155" class="elsevierStylePara elsevierViewall">The limitations of our study are those derived of its single-center and retrospective condition. We also need to highlight that the sample size and, especially the low number of cases of graft losses and death-censored graft losses could have reduced the statistical power of the multivariate survival analysis.</p><p id="par0160" class="elsevierStylePara elsevierViewall">Unfortunately, data about kidney graft donor biopsies were not available and a better correlation with histology could not be performed. However, this is the first study that analyzes the KDPI prognostic value on KT outcomes with a long follow-up. Final evidence will come from prospective studies.</p><p id="par0165" class="elsevierStylePara elsevierViewall">We conclude that in our setting, the information provided by isolated donor age and SCD/ECD status is very limited to qualify these variables as good enough criteria for accepting an organ or not. Instead, KDPI calculated with the United States formula relates with higher risk of graft failure. Our results show KDPI as a better assessment tool than donor age or the SCD/ECD classification, albeit not enough to be considered as an organ quality assessment tool in our environment. Development of predictive scores by regions may better help in the organ acceptance decision.</p></span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0105">Conflicts of interest</span><p id="par0170" class="elsevierStylePara elsevierViewall">The authors have no conflicts of interest to declare.</p></span><span id="sec0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0110">Funding</span><p id="par0175" class="elsevierStylePara elsevierViewall">MJP-S has support from a <span class="elsevierStyleGrantSponsor" id="gs1">Rio Hortega contract, ISCIII</span>. MC and JP are supported by grants <span class="elsevierStyleGrantNumber" refid="gs1">FIS ISCIII-FEDER PI13/0598</span>, <span class="elsevierStyleGrantNumber" refid="gs1">PI16/00617</span> and <span class="elsevierStyleGrantNumber" refid="gs1">RedinRen RD16/0009/0013</span>.</p></span><span id="sec0055" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0115">Contributors</span><p id="par0180" class="elsevierStylePara elsevierViewall">CA-C MJP-S and JP designed the study, performed the analysis and validation of the data. DR-P and AB contributed in data analyses. CA-C and MJP-S drafted the initial report, while all authors contributed to the final manuscript and approved it. CA-C and MJP-S contributed equally.</p></span></span>" "textoCompletoSecciones" => array:1 [ "secciones" => array:13 [ 0 => array:3 [ "identificador" => "xres1106890" "titulo" => "Abstract" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Introduction" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Material and methods" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Results" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Conclusions" ] ] ] 1 => array:2 [ "identificador" => "xpalclavsec1046348" "titulo" => "Keywords" ] 2 => array:3 [ "identificador" => "xres1106891" "titulo" => "Resumen" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0025" "titulo" => "Introducción" ] 1 => array:2 [ "identificador" => "abst0030" "titulo" => "Materiales y métodos" ] 2 => array:2 [ "identificador" => "abst0035" "titulo" => "Resultados" ] 3 => array:2 [ "identificador" => "abst0040" "titulo" => "Conclusiones" ] ] ] 3 => array:2 [ "identificador" => "xpalclavsec1046347" "titulo" => "Palabras clave" ] 4 => array:2 [ "identificador" => "sec0005" "titulo" => "Introduction" ] 5 => array:3 [ "identificador" => "sec0010" "titulo" => "Material and methods" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "sec0015" "titulo" => "Study design and data collection" ] 1 => array:2 [ "identificador" => "sec0020" "titulo" => "Definitions" ] 2 => array:2 [ "identificador" => "sec0025" "titulo" => "Variables" ] 3 => array:2 [ "identificador" => "sec0030" "titulo" => "Statistical analysis" ] ] ] 6 => array:2 [ "identificador" => "sec0035" "titulo" => "Results" ] 7 => array:2 [ "identificador" => "sec0040" "titulo" => "Discussion" ] 8 => array:2 [ "identificador" => "sec0045" "titulo" => "Conflicts of interest" ] 9 => array:2 [ "identificador" => "sec0050" "titulo" => "Funding" ] 10 => array:2 [ "identificador" => "sec0055" "titulo" => "Contributors" ] 11 => array:2 [ "identificador" => "xack375807" "titulo" => "Acknowledgments" ] 12 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2017-08-29" "fechaAceptado" => "2018-03-02" "PalabrasClave" => array:2 [ "en" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec1046348" "palabras" => array:4 [ 0 => "Donor age" 1 => "Expanded criteria donor" 2 => "Kidney Donor Profile Index" 3 => "Kidney transplant" ] ] ] "es" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Palabras clave" "identificador" => "xpalclavsec1046347" "palabras" => array:4 [ 0 => "Edad del donante" 1 => "Donante con criterios ampliados" 2 => "Kidney Donor Profile Index" 3 => "Trasplante 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 donor shortage requires expanding donor selection criteria, as well as use of objective tools to minimize the percentage of discarded organs. Some donor pre-transplant variables such as age, standard/expanded criteria donor (SCD/ECD) definition and calculation of the Kidney Donor Profile Index (KDPI), have demonstrated correlations with patient and graft outcomes. We aimed to establish the accuracy of the three models to determine the prognostic value of kidney transplantation (KT) major outcomes.</p></span> <span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Material and methods</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">We performed a retrospective study in deceased donor KTs at our institution. Unadjusted Cox and Kaplan–Meier survival, and multivariate Cox analyses were fitted to analyze the impact of donor age, SCD/ECD and KDPI on outcomes.</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Results</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">389 KTs were included. Mean donor age was 53.6<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>15.2 years; 163 (41.9%) came from ECD; mean KDPI was 69.4<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>23.4%. Median follow-up was 51.9 months. The unadjusted Cox and Kaplan–Meier showed that the three prognostic variables of interest were related to increased risk of patient death, graft failure and death-censored graft failure. However, in the multivariate analysis only KDPI was related to a higher risk of graft failure (HR 1.03 [95% CI 1.01–1.05]; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.014).</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Conclusions</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">SCD/ECD classification did not provide significant prognostic information about patient and graft outcomes. KDPI was linearly related to a higher risk of graft failure, providing a better assessment. More studies are needed before using KDPI as a tool to discard or accept kidneys for transplantation.</p></span>" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Introduction" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Material and 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">La escasez de donantes de riñón requiere una ampliación de los criterios de selección de donantes, así como el uso de herramientas objetivas para minimizar el porcentaje de órganos descartados. Algunas variables pretrasplante del donante, como la edad, la definición de donante con criterios de selección estándar/ampliados (<span class="elsevierStyleItalic">standard/expanded criteria donor</span> [SCD/ECD]) y el cálculo del índice del perfil de donante renal (<span class="elsevierStyleItalic">Kidney Donor Profile Index</span> [KDPI]) han demostrado correlación con los resultados del paciente y el injerto. Nuestro objetivo fue evaluar la precisión de 3 modelos diferentes para determinar el valor pronostico en los resultados del trasplante renal.</p></span> <span id="abst0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">Materiales y métodos</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">Llevamos a cabo un estudio retrospectivo de TR de donantes fallecidos en nuestro centro. Se realizó un analisis de supervivencia mediante curvas de Kaplan-Meir y Cox no ajustado, ai como un analisis multivariante de Cox para analizar el impacto de la edad del donante, la definición SCD/ECD y el índice KDPI sobre los resultados.</p></span> <span id="abst0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Resultados</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">Se incluyeron 389 TR. La media de edad de los donantes era de 53,6<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>15,2 años; 163 (41,9%) procedían de donantes ECD; el índice KDPI medio era de 69,4<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>23,4%. La mediana de seguimiento era de 51,9 meses. Los análisis de Kaplan-Meier y de Cox no ajustado mostraron que las 3 variables pronósticas de interés estaban relacionadas con un mayor riesgo de muerte del paciente, fracaso del injerto y fracaso del injerto censurado por la muerte. Sin embargo, en el análisis multivariable solamente el índice KDPI estuvo relacionado con un mayor riesgo de fracaso del injerto (HR: 1,03 [IC 95%: 1,01-1,05]; p<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0,014).</p></span> <span id="abst0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Conclusiones</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">La clasificación SCD/ECD no proporcionó información pronóstica significativa sobre los desenlaces del paciente y el injerto. El índice KDPI estuvo linealmente relacionado con un mayor riesgo de fracaso del injerto, por lo que ofrecía una mejor evaluación. Es necesario realizar más estudios antes de usar el índice KDPI como herramienta para descartar o aceptar riñones para trasplante.</p></span>" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0025" "titulo" => "Introducción" ] 1 => array:2 [ "identificador" => "abst0030" "titulo" => "Materiales y métodos" ] 2 => array:2 [ "identificador" => "abst0035" "titulo" => "Resultados" ] 3 => array:2 [ "identificador" => "abst0040" "titulo" => "Conclusiones" ] ] ] ] "NotaPie" => array:1 [ 0 => array:3 [ "etiqueta" => "1" "nota" => "<p class="elsevierStyleNotepara" id="npar0010">These authors contributed equally.</p>" "identificador" => "fn1" ] ] "multimedia" => array:7 [ 0 => array:7 [ "identificador" => "fig0005" "etiqueta" => "Fig. 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 4072 "Ancho" => 2880 "Tamanyo" => 453689 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">(A–C) Kaplan–Meier survival curves according to donor age, ECD/SCD status and KDPI.</p>" ] ] 1 => array:7 [ "identificador" => "fig0010" "etiqueta" => "Fig. 2" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr2.jpeg" "Alto" => 3357 "Ancho" => 2500 "Tamanyo" => 516786 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">Variables affecting patient death in multivariate analyses. Different models were calculated including donor age as a continuous variable, donor age above 60 years, expanded criteria donor definition, KDPI (continuous variable) or different cut-off levels for KDPI.</p>" ] ] 2 => array:7 [ "identificador" => "fig0015" "etiqueta" => "Fig. 3" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr3.jpeg" "Alto" => 3219 "Ancho" => 2505 "Tamanyo" => 635714 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">Variables affecting graft loss in multivariate analyses. Different models were calculated including donor age as a continuous variable, donor age above 60 years, expanded criteria donor definition, KDPI (continuous variable) or different cut-off levels for KDPI.</p>" ] ] 3 => array:7 [ "identificador" => "fig0020" "etiqueta" => "Fig. 4" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr4.jpeg" "Alto" => 3355 "Ancho" => 2503 "Tamanyo" => 559898 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">Variables affecting death-censored graft failure in multivariate analysis. Different models were calculated including donor age as a continuous variable, donor age above 60 years, expanded criteria donor definition, KDPI (continuous variable) or different cut-off levels for KDPI.</p>" ] ] 4 => 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="spar0070" class="elsevierStyleSimplePara elsevierViewall">SD, standard deviation; IQR, interquartile range; PKD, polycystic kidney disease; ECD, expanded criteria donor; SCD, standard criteria donor; DCD, donor after cardiac death; SCr, serum creatinine; KDPI, kidney donor profile index; CIT, cold ischemia time; DGF, delayed graft function; BPAR, biopsy-proven acute rejection.</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><tbody title="tbody"><tr title="table-row"><td class="td" title="table-entry " colspan="2" align="left" valign="top"><span class="elsevierStyleBold">Recipients</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><span class="elsevierStyleItalic">Age at the time of transplant (years, mean</span><span class="elsevierStyleHsp" style=""></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">54.67<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>13.54 \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><span class="elsevierStyleItalic">Male (n, %)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">252 (64.8) \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><span class="elsevierStyleItalic">Caucasians (n, %)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">344 (88.4) \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><span class="elsevierStyleItalic">Hypertension (n, %)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">354 (91.2) \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><span class="elsevierStyleItalic">Diabetes mellitus (n, %)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">77 (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="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Hepatitis C virus positive (n, %)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">18 (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="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Hepatitis B virus positive (n, %)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">7 (1.8) \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><span class="elsevierStyleItalic">Any solid neoplasia prior to transplant (n, %)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">41 (10.5) \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><span class="elsevierStyleItalic">Cardiac disease (n, %)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">199 (51.2) \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><span class="elsevierStyleItalic">Peripheral vascular disease (n, %)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">164 (42.2) \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="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Underlying kidney disease (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><span class="elsevierStyleHsp" style=""></span>Glomerular \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">95 (24.4) \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><span class="elsevierStyleHsp" style=""></span>Diabetes \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">43 (11.1) \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="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Vascular \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">41 (10.5) \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><span class="elsevierStyleHsp" style=""></span>PKD \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">59 (15.2) \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><span class="elsevierStyleHsp" style=""></span>Others \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">79 (20.3) \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="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Unknown \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">72 (18.5) \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><span class="elsevierStyleHsp" style=""></span>Total \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">389 (100) \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><span class="elsevierStyleItalic">Time on dialysis prior to transplant (months, median [IQR])</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">21 [11–35] \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="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Renal replacement therapy</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><span class="elsevierStyleHsp" style=""></span>Hemodialysis \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">307 (78.9) \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><span class="elsevierStyleHsp" style=""></span>Peritoneal dialysis \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">62 (15.9) \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><span class="elsevierStyleHsp" style=""></span>Preemptive transplant \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">20 (5.2) \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><span class="elsevierStyleItalic">Previous kidney transplant (n, %)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">60 (15.4) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="2" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="2" align="left" valign="top"><span class="elsevierStyleBold">Donors</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><span class="elsevierStyleItalic">Age (years, mean</span><span class="elsevierStyleHsp" style=""></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">53.63<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>15.19 \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><span class="elsevierStyleItalic">Age <60 years (n, %)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">245 (63) \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><span class="elsevierStyleItalic">Age ≥60 years (n, %)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">144 (37) \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><span class="elsevierStyleItalic">Male (n, %)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">240 (61.7) \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><span class="elsevierStyleItalic">Diabetes mellitus (n,%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">51 (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="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">SCD (n, %)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">226 (58.1) \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="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">ECD (n, %)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">163 (41.9) \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><span class="elsevierStyleItalic">DCD (n, %)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">82 (21.1) \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="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Terminal SCr (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">0.94<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.50 \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><span class="elsevierStyleItalic">KDPI (mean</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">±</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">sd) (median [IQR])</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">69.36<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>23.38 \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><span class="elsevierStyleItalic">KDPI subgroups (n, %)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">72.00 [50–91] \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><span class="elsevierStyleHsp" style=""></span>0–20 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2 (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"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>21–34 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">28 (7.2) \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><span class="elsevierStyleHsp" style=""></span>35–85 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">227 (58.4) \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><span class="elsevierStyleHsp" style=""></span>>85 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">132 (33.9) \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><span class="elsevierStyleHsp" style=""></span>≥60 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">236 (60.7) \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><span class="elsevierStyleHsp" style=""></span>≥65 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">207 (53.2) \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><span class="elsevierStyleHsp" style=""></span>≥70 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">196 (50.4) \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><span class="elsevierStyleHsp" style=""></span>≥75 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">190 (48.8) \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><span class="elsevierStyleHsp" style=""></span>≥80 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">169 (43.4) \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><span class="elsevierStyleHsp" style=""></span>≥85 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">138 (35.5) \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><span class="elsevierStyleHsp" style=""></span>≥90 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">114 (29.3) \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="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>≥95 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">77 (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="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>=100 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">32 (8.2) \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="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="2" align="left" valign="top"><span class="elsevierStyleBold">Kidney transplantation</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><span class="elsevierStyleItalic">CIT (hours, median [IQR])</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">15 [12–18] \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><span class="elsevierStyleItalic">DGF (n, %)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">155 (40.4) \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><span class="elsevierStyleItalic">BPAR (n, %)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">36 (9.3) \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1894052.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">Baseline characteristics of recipients, donors and kidney transplants.</p>" ] ] 5 => 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="spar0080" class="elsevierStyleSimplePara elsevierViewall">HR, hazard ratio; CI, confidence interval; KT, kidney transplant; RRT, renal replacement therapy; PRA, panel reactive antibodies; ECD, expanded criteria donor; KDPI, kidney donor profile index; DGF, delayed graft function; BPAR, biopsy-proven acute rejection.</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-with-role" title="table-head ; entry_with_role_rowhead " align="left" valign="top" scope="col">Variable \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">Patient death \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">Graft failure</th><th class="td" title="table-head " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Death-censored graft failure</th><th class="td" title="table-head " align="center" valign="top" scope="col"><span class="elsevierStyleItalic">p</span> \t\t\t\t\t\t\n \t\t\t\t</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">HR (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><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">HR (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><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">HR (CI 95%) \t\t\t\t\t\t\n \t\t\t\t</th><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></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">Recipient age (years)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.07 (1.04–1.10) \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">1.05 (1.03–1.07) \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">1.04 (1.02–1.06) \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"><span class="elsevierStyleItalic">Hypertension</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.09 (0.50–8.68) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.308 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3.14 (0.99–9.91) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.051 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">5.44 (0.75–39.36) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.093 \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">Diabetes Mellitus</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3.39 (1.76–6.56) \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">2.75 (1.76–4.28) \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">2.42 (1.35–4.35) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.003 \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">Cardiac disease</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4.69 (2.08–10.59) \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">2.09 (1.34–3.24) \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">1.42 (0.59–3.39) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.429 \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">Peripheral vascular disease</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.78 (1.44–5.39) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.002 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.23 (1.46–3.40) \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">1.79 (1.01–2.96) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.047 \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">Neoplasia prior to transplant</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.68 (0.79–4.04) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.237 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.83 (1.05–3.19) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.031 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.86 (0.91–3.82) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.087 \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">Previous KT</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.60 (0.78–3.28) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.192 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.62 (1.009–2.63) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.046 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.56 (0.82–2.97) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.172 \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">On dialysis before KT (vs. preemptive)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.14 (0.57–2.29) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.703 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.93 (0.57–1.48) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.927 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.77 (0.41–1.44) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.774 \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">Peak PRA (%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.00 (0.99–1.01) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.589 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.01 (1.01–1.03) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.021 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.01 (1.00–1.03) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.057 \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">Donor age (years)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.05 (1.02–1.07) \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">1.05 (1.03–1.06) \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">1.05 (1.03–1.07) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="7" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="7" align="left" valign="top"><span class="elsevierStyleItalic">Donor age (years) subgroups</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>≥50 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.91 (1.38–6.11) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.005 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3.17 (1.89–5.31) \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">3.15 (1.58–6.28) \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"><span class="elsevierStyleHsp" style=""></span>≥55 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.79 (1.46–5.34) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.002 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3.40 (2.15–5.36) \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">3.87 (2.06–7.25) \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"><span class="elsevierStyleHsp" style=""></span>≥60 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3.23 (1.73–6.03) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.000 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3.55 (2.33–5.40) \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">3.76 (2.15–6.58) \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"><span class="elsevierStyleHsp" style=""></span>≥65 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.71 (1.41–5.22) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.003 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.73 (1.78–4.18) \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">2.79 (1.61–4.84) \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"><span class="elsevierStyleHsp" style=""></span>≥70 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.94 (1.38–6.25) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.005 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3.30 (2.07–5.25) \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">3.70 (2.07–6.60) \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"><span class="elsevierStyleHsp" style=""></span>≥75 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3.01 (1.06–8.54) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.038 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3.61 (1.99–6.55) \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">4.38 (2.18–8.80) \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"><span class="elsevierStyleHsp" style=""></span>≥80 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">7.62 (1.78–32.6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.006 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">8.63 (4.09–18.22) \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">10.62 (4.68–24.09) \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"><span class="elsevierStyleHsp" style=""></span>≥85 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3.08 (1.66–5.79) \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">6.68 (0.90–48-50) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.060 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">8.44 (1.15–61.71) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.036 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="7" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">ECD</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3.65 (1.93–6.89) \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">3.17 (2.08–4.85) \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">2.75 (1.58–4.79) \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"><span class="elsevierStyleItalic">KDPI</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.03 (1.01–1.04) \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">1.03 (1.02–1.04) \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">1.04 (1.02–1.05) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="7" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="7" align="left" valign="top"><span class="elsevierStyleItalic">KDPI subgroups</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>≥60 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.62 (1.31–5.26) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.007 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3.39 (2.04–5.65) \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">4.03 (1.96–8.20) \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"><span class="elsevierStyleHsp" style=""></span>≥65 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.95 (1.52–5.73) \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">3.74 (2.32–6.02) \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">4.40 (2.25–8.58) \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"><span class="elsevierStyleHsp" style=""></span>≥70 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3.00 (1.56–5.76) \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">3.56 (2.25–5.62) \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">3.96 (2.10–7.43) \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"><span class="elsevierStyleHsp" style=""></span>≥75 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3.15 (1.64–6.04) \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">3.37 (2.15–5.27) \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">3.43 (1.88–6.27) \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"><span class="elsevierStyleHsp" style=""></span>≥80 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4.19 (2.17–8.05) \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">3.78 (2.44–5.85) \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">3.83 (1.90–6.00) \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"><span class="elsevierStyleHsp" style=""></span>≥85 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3.08 (1.60–5.74) \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">3.13 (2.07–4.73) \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">3.14 (1.81–5.41) \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"><span class="elsevierStyleHsp" style=""></span>≥90 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.60 (1.39–4.87) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.003 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.92 (1.93–4.40) \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">3.19 (1.86–5.46) \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"><span class="elsevierStyleHsp" style=""></span>≥95 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.27 (1.10–4.66) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.026 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.86 (1.84–4.44) \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">3.42 (1.96–5.94) \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"><span class="elsevierStyleHsp" style=""></span>100 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.26 (0.30–5.30) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.747 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.60 (1.38–4.94) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.003 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3.33 (1.61–6.88) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="7" 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">DGF</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.00 (1.07–3.75) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.030 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.60 (1.68–4.01) \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">3.16 (1.74–5.74) \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"><span class="elsevierStyleItalic">BPAR</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.41 (0.47–4.26) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.539 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.48 (1.36–4.54) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.003 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3.48 (2.26–5.36) \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 => "xTab1894050.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0075" class="elsevierStyleSimplePara elsevierViewall">Cox univariate analysis with variables related to patient death, graft failure and death-censored graft failure.</p>" ] ] 6 => 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:3 [ "leyenda" => "<p id="spar0090" class="elsevierStyleSimplePara elsevierViewall">ROC, receiver operating characteristic; KDPI, kidney donor profile index; AUC, area under curve.</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="table-head " align="" valign="top" scope="col"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " colspan="3" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">KDPI</th><th class="td" title="table-head " colspan="3" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Donor age</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">AUC \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>-Value \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">Cut-off (sensitivity and specificity)<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \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">AUC \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>-Value \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">Cut-off (sensitivity and specificity)<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \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">Graft failure \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.679 \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">79.5 (0.66 and 0.63) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.674 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.032 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">54.5 (0.72 and 0.58) \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">Death-censored graft failure \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.687 \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">67.0 (0.79 and 0.52) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.677 \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">54.5 (0.76 and 0.55) \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1894051.png" ] ] ] "notaPie" => array:1 [ 0 => array:3 [ "identificador" => "tblfn0005" "etiqueta" => "a" "nota" => "<p class="elsevierStyleNotepara" id="npar0005">The value of marker defined as cut-off was determined by the maximum of Youden index (<span class="elsevierStyleItalic">J</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>sensitivity<span class="elsevierStyleHsp" style=""></span>+<span class="elsevierStyleHsp" style=""></span>specificity<span class="elsevierStyleHsp" style=""></span>−<span class="elsevierStyleHsp" style=""></span>1).</p>" ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0085" class="elsevierStyleSimplePara elsevierViewall">KDPI and donor age ROC curves regarding graft failure and death-censored graft failure.</p>" ] ] ] "bibliografia" => array:2 [ "titulo" => "References" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "bibs0015" "bibliografiaReferencia" => array:31 [ 0 => array:3 [ "identificador" => "bib0160" "etiqueta" => "1" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "OPTN/SRTR 2013 annual data report: deceased organ donation" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:5 [ 0 => "A.K. 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Year/Month | Html | Total | |
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2024 November | 11 | 5 | 16 |
2024 October | 58 | 40 | 98 |
2024 September | 48 | 44 | 92 |
2024 August | 75 | 76 | 151 |
2024 July | 90 | 44 | 134 |
2024 June | 70 | 48 | 118 |
2024 May | 65 | 29 | 94 |
2024 April | 61 | 39 | 100 |
2024 March | 133 | 52 | 185 |
2024 February | 80 | 48 | 128 |
2024 January | 56 | 28 | 84 |
2023 December | 55 | 26 | 81 |
2023 November | 73 | 32 | 105 |
2023 October | 71 | 47 | 118 |
2023 September | 124 | 35 | 159 |
2023 August | 81 | 20 | 101 |
2023 July | 73 | 42 | 115 |
2023 June | 90 | 28 | 118 |
2023 May | 90 | 71 | 161 |
2023 April | 78 | 25 | 103 |
2023 March | 95 | 31 | 126 |
2023 February | 76 | 31 | 107 |
2023 January | 67 | 41 | 108 |
2022 December | 114 | 42 | 156 |
2022 November | 97 | 49 | 146 |
2022 October | 93 | 71 | 164 |
2022 September | 67 | 49 | 116 |
2022 August | 84 | 62 | 146 |
2022 July | 52 | 58 | 110 |
2022 June | 120 | 52 | 172 |
2022 May | 59 | 35 | 94 |
2022 April | 49 | 43 | 92 |
2022 March | 67 | 48 | 115 |
2022 February | 49 | 53 | 102 |
2022 January | 55 | 49 | 104 |
2021 December | 80 | 62 | 142 |
2021 November | 83 | 54 | 137 |
2021 October | 91 | 54 | 145 |
2021 September | 68 | 44 | 112 |
2021 August | 61 | 59 | 120 |
2021 July | 84 | 53 | 137 |
2021 June | 81 | 34 | 115 |
2021 May | 46 | 60 | 106 |
2021 April | 136 | 87 | 223 |
2021 March | 71 | 23 | 94 |
2021 February | 92 | 35 | 127 |
2021 January | 63 | 23 | 86 |
2020 December | 55 | 16 | 71 |
2020 November | 50 | 23 | 73 |
2020 October | 35 | 26 | 61 |
2020 September | 46 | 18 | 64 |
2020 August | 55 | 25 | 80 |
2020 July | 26 | 10 | 36 |
2020 June | 65 | 27 | 92 |
2020 May | 72 | 17 | 89 |
2020 April | 39 | 18 | 57 |
2020 March | 47 | 18 | 65 |
2020 February | 41 | 25 | 66 |
2020 January | 129 | 41 | 170 |
2019 December | 62 | 31 | 93 |
2019 November | 73 | 27 | 100 |
2019 October | 64 | 33 | 97 |
2019 September | 68 | 20 | 88 |
2019 August | 53 | 30 | 83 |
2019 July | 58 | 41 | 99 |
2019 June | 67 | 25 | 92 |
2019 May | 75 | 30 | 105 |
2019 April | 105 | 47 | 152 |
2019 March | 52 | 37 | 89 |
2019 February | 54 | 23 | 77 |
2019 January | 46 | 36 | 82 |
2018 December | 85 | 51 | 136 |
2018 November | 45 | 12 | 57 |