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array:24 [ "pii" => "S1665268119309536" "issn" => "16652681" "doi" => "10.5604/16652681.1171770" "estado" => "S300" "fechaPublicacion" => "2015-11-01" "aid" => "70709" "copyright" => "Fundación Clínica Médica Sur, A.C." "copyrightAnyo" => "2015" "documento" => "article" "crossmark" => 0 "licencia" => "http://creativecommons.org/licenses/by-nc-nd/4.0/" "subdocumento" => "fla" "cita" => "Ann Hepatol. 2015;14:845-55" "abierto" => array:3 [ "ES" => true "ES2" => true "LATM" => true ] "gratuito" => true "lecturas" => array:2 [ "total" => 143 "formatos" => array:3 [ "EPUB" => 15 "HTML" => 51 "PDF" => 77 ] ] "itemSiguiente" => array:19 [ "pii" => "S1665268119309548" "issn" => "16652681" "doi" => "10.5604/16652681.1171772" "estado" => "S300" "fechaPublicacion" => "2015-11-01" "aid" => "70710" "copyright" => "Fundación Clínica Médica Sur, A.C." "documento" => "article" "crossmark" => 0 "licencia" => "http://creativecommons.org/licenses/by-nc-nd/4.0/" "subdocumento" => "fla" "cita" => "Ann Hepatol. 2015;14:856-61" "abierto" => array:3 [ "ES" => true "ES2" => true "LATM" => true ] "gratuito" => true "lecturas" => array:2 [ "total" => 79 "formatos" => array:3 [ "EPUB" => 10 "HTML" => 32 "PDF" => 37 ] ] "en" => array:11 [ "idiomaDefecto" => true "titulo" => "Evaluation the value of markers for prediction of portal vein thrombosis after devascularization" "tienePdf" => "en" "tieneTextoCompleto" => "en" "tieneResumen" => "en" "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "856" "paginaFinal" => "861" ] ] "contieneResumen" => array:1 [ "en" => true ] "contieneTextoCompleto" => array:1 [ "en" => true ] "contienePdf" => array:1 [ "en" => true ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "f0005" "etiqueta" => "Figure 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 456 "Ancho" => 484 "Tamanyo" => 21721 ] ] "descripcion" => array:1 [ "en" => "<p id="sp0005" class="elsevierStyleSimplePara elsevierViewall">The receiver operating characteristic (ROC) curve for diagnosis PVT by D-dimer and P-selectin.</p>" ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "Yang Fei, Guang-quan Zong, Jian Chen, Ren-min Liu" "autores" => array:3 [ 0 => array:2 [ "nombre" => "Yang" "apellidos" => "Fei" ] 1 => array:2 [ "nombre" => "Guang-quan" "apellidos" => "Zong" ] 2 => array:2 [ "nombre" => "Jian Chen, Ren-min" "apellidos" => "Liu" ] ] ] ] ] "idiomaDefecto" => "en" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S1665268119309548?idApp=UINPBA00004N" "url" => "/16652681/0000001400000006/v1_201906050954/S1665268119309548/v1_201906050954/en/main.assets" ] "itemAnterior" => array:19 [ "pii" => "S1665268119309524" "issn" => "16652681" "doi" => "10.5604/16652681.1171767" "estado" => "S300" "fechaPublicacion" => "2015-11-01" "aid" => "70708" "copyright" => "Fundación Clínica Médica Sur, A.C." "documento" => "article" "crossmark" => 0 "licencia" => "http://creativecommons.org/licenses/by-nc-nd/4.0/" "subdocumento" => "fla" "cita" => "Ann Hepatol. 2015;14:837-44" "abierto" => array:3 [ "ES" => true "ES2" => true "LATM" => true ] "gratuito" => true "lecturas" => array:2 [ "total" => 160 "formatos" => array:3 [ "EPUB" => 19 "HTML" => 89 "PDF" => 52 ] ] "en" => array:11 [ "idiomaDefecto" => true "titulo" => "Correlation between serum cytokeratin-18 and the progression or regression of non-alcoholic fatty liver disease" "tienePdf" => "en" "tieneTextoCompleto" => "en" "tieneResumen" => "en" "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "837" "paginaFinal" => "844" ] ] "contieneResumen" => array:1 [ "en" => true ] "contieneTextoCompleto" => array:1 [ "en" => true ] "contienePdf" => array:1 [ "en" => true ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "f0020" "etiqueta" => "Figure 4" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr4.jpeg" "Alto" => 275 "Ancho" => 1044 "Tamanyo" => 40526 ] ] "descripcion" => array:1 [ "en" => "<p id="sp0020" class="elsevierStyleSimplePara elsevierViewall">Changes in mean serum cytokeratin 18 (CK-18) levels and the non-alcoholic fatty liver disease activity score (NAS) values are examined in patients who underwent repeated biopsies. The mean serum CK-18 level increases in cases in which the NAS increases (<span class="elsevierStyleBold">A</span>), whereas the mean serum CK-18 level is static in patients in which the NAS value is also static (<span class="elsevierStyleBold">B</span>). The mean serum CK-18 level declines in patients in which the NAS is improved (<span class="elsevierStyleBold">C</span>). The individual data points are shown.</p>" ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "Miwa Kawanaka, Ken Nishino, Jun Nakamura, Noriyo Urata, Takahito Oka, Daisuke Goto, Mitsuhiko Suehiro, Hirofumi Kawamoto, Gotaro Yamada" "autores" => array:9 [ 0 => array:2 [ "nombre" => "Miwa" "apellidos" => "Kawanaka" ] 1 => array:2 [ "nombre" => "Ken" "apellidos" => "Nishino" ] 2 => array:2 [ "nombre" => "Jun" "apellidos" => "Nakamura" ] 3 => array:2 [ "nombre" => "Noriyo" "apellidos" => "Urata" ] 4 => array:2 [ "nombre" => "Takahito" "apellidos" => "Oka" ] 5 => array:2 [ "nombre" => "Daisuke" "apellidos" => "Goto" ] 6 => array:2 [ "nombre" => "Mitsuhiko" "apellidos" => "Suehiro" ] 7 => array:2 [ "nombre" => "Hirofumi" "apellidos" => "Kawamoto" ] 8 => array:2 [ "nombre" => "Gotaro" "apellidos" => "Yamada" ] ] ] ] ] "idiomaDefecto" => "en" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S1665268119309524?idApp=UINPBA00004N" "url" => "/16652681/0000001400000006/v1_201906050954/S1665268119309524/v1_201906050954/en/main.assets" ] "en" => array:17 [ "idiomaDefecto" => true "titulo" => "Predicting early discharge from hospital after liver transplantation (ERDALT) at a single center: a new model" "tieneTextoCompleto" => true "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "845" "paginaFinal" => "855" ] ] "autores" => array:1 [ 0 => array:4 [ "autoresLista" => "Federico Piñero, Martín Fauda, Rodolfo Quiros, Manuel Mendizabal, Ariel González-Campaña, Demian Czerwonko, Mariano Barreiro, Silvina Montal, Ezequiel Silberman, Matías Coronel, Fernando Cacheiro, Pía Raffa, Oscar Andriani, Marcelo Silva, Luis G. Podestá" "autores" => array:15 [ 0 => array:4 [ "nombre" => "Federico" "apellidos" => "Piñero" "email" => array:1 [ 0 => "fpinerof@cas.austral.edu.ar" ] "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">*</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">*</span>" "identificador" => "cor0005" ] ] ] 1 => array:3 [ "nombre" => "Martín" "apellidos" => "Fauda" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">*</span>" "identificador" => "aff0005" ] ] ] 2 => array:3 [ "nombre" => "Rodolfo" "apellidos" => "Quiros" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">**</span>" "identificador" => "aff0010" ] ] ] 3 => array:3 [ "nombre" => "Manuel" "apellidos" => "Mendizabal" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">*</span>" "identificador" => "aff0005" ] ] ] 4 => array:3 [ "nombre" => "Ariel" "apellidos" => "González-Campaña" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">*</span>" "identificador" => "aff0005" ] ] ] 5 => array:3 [ "nombre" => "Demian" "apellidos" => "Czerwonko" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">***</span>" "identificador" => "aff0015" ] ] ] 6 => array:3 [ "nombre" => "Mariano" "apellidos" => "Barreiro" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">*</span>" "identificador" => "aff0005" ] ] ] 7 => array:3 [ "nombre" => "Silvina" "apellidos" => "Montal" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">*</span>" "identificador" => "aff0005" ] ] ] 8 => array:3 [ "nombre" => "Ezequiel" "apellidos" => "Silberman" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">*</span>" "identificador" => "aff0005" ] ] ] 9 => array:3 [ "nombre" => "Matías" "apellidos" => "Coronel" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">*</span>" "identificador" => "aff0005" ] ] ] 10 => array:3 [ "nombre" => "Fernando" "apellidos" => "Cacheiro" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">****</span>" "identificador" => "aff0020" ] ] ] 11 => array:3 [ "nombre" => "Pía" "apellidos" => "Raffa" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">*</span>" "identificador" => "aff0005" ] ] ] 12 => array:3 [ "nombre" => "Oscar" "apellidos" => "Andriani" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">*</span>" "identificador" => "aff0005" ] ] ] 13 => array:3 [ "nombre" => "Marcelo" "apellidos" => "Silva" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">*</span>" "identificador" => "aff0005" ] ] ] 14 => array:3 [ "nombre" => "Luis G." "apellidos" => "Podestá" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">*</span>" "identificador" => "aff0005" ] ] ] ] "afiliaciones" => array:4 [ 0 => array:3 [ "entidad" => "Hepatology and Liver Transplant Unit. Hospital Universitario Austral, Buenos Aires, Argentina" "etiqueta" => "*" "identificador" => "aff0005" ] 1 => array:3 [ "entidad" => "Internal Medicine, Infectious Diseases and Statistics. Hospital Universitario Austral, Buenos Aires, Argentina" "etiqueta" => "**" "identificador" => "aff0010" ] 2 => array:3 [ "entidad" => "Intensive Care Unit. Hospital Universitario Austral, Buenos Aires, Argentina" "etiqueta" => "***" "identificador" => "aff0015" ] 3 => array:3 [ "entidad" => "Department of Anesthesiology. Hospital Universitario Austral, Buenos Aires, Argentina" "etiqueta" => "****" "identificador" => "aff0020" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "cor0005" "etiqueta" => "*" "correspondencia" => "Correspondence and reprint request:" ] ] ] ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "f0005" "etiqueta" => "Figure 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 524 "Ancho" => 1045 "Tamanyo" => 55496 ] ] "descripcion" => array:1 [ "en" => "<p id="sp0005" class="elsevierStyleSimplePara elsevierViewall">Kaplan Meier patient (<span class="elsevierStyleBold">A</span>) and graft (<span class="elsevierStyleBold">B</span>) 3-year survival comparative analysis between patients with and without early discharge from hospital after liver transplantation. Kaplan Meier curves revealed significant differences on 3-year patient and graft survival rates between patients with and without ERDALT (97.1 <span class="elsevierStyleItalic">vs.</span> 79.2%, respectively; P = 0.021, and 91.2% <span class="elsevierStyleItalic">vs.</span> 74.5%, P = 0.05, log rank test, respectively). ERDALT: early discharge from hospital after liver transplantation. LT: liver transplantation.</p>" ] ] ] "textoCompleto" => "<span class="elsevierStyleSections"><span id="s0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="st0015">Introduction</span><p id="p0005" class="elsevierStylePara elsevierViewall">Liver transplantation (LT) has become an acceptable medical therapy and the gold standard for treating patients with end-stage liver disease.<a class="elsevierStyleCrossRef" href="#bib0005"><span class="elsevierStyleSup">1</span></a> Short and long-term survival, as well as quality of life after LT have improved over the last 20 years.<a class="elsevierStyleCrossRefs" href="#bib0010"><span class="elsevierStyleSup">2</span></a><span class="elsevierStyleSup">–</span><a class="elsevierStyleCrossRef" href="#bib0025"><span class="elsevierStyleSup">5</span></a> However, LT is still one of the most complex and costly medical therapies.<a class="elsevierStyleCrossRef" href="#bib0030"><span class="elsevierStyleSup">6</span></a>,<a class="elsevierStyleCrossRef" href="#bib0035"><span class="elsevierStyleSup">7</span></a> During the last years, special attention has been focused on the unbalanced and escalating costs of health care concomitantly with limited financial resources in South America. However, there is scarce information related to LT costs in these countries.<a class="elsevierStyleCrossRef" href="#bib0040"><span class="elsevierStyleSup">8</span></a> Additionally, costs analysis from LT programs in developed countries may not provide comparable or applicable models for those in emerging economies.<a class="elsevierStyleCrossRef" href="#bib0035"><span class="elsevierStyleSup">7</span></a>,<a class="elsevierStyleCrossRefs" href="#bib0045"><span class="elsevierStyleSup">9</span></a><span class="elsevierStyleSup">–</span><a class="elsevierStyleCrossRef" href="#bib0055"><span class="elsevierStyleSup">11</span></a></p><p id="p0010" class="elsevierStylePara elsevierViewall">As shown by several authors, transplant outcomes depend on pre and post-transplantation factors, which include both recipient and donor fitness, surgeon’s skills and transplant unit team’s experience.<a class="elsevierStyleCrossRef" href="#bib0045"><span class="elsevierStyleSup">9</span></a>,<a class="elsevierStyleCrossRef" href="#bib0060"><span class="elsevierStyleSup">12</span></a>,<a class="elsevierStyleCrossRef" href="#bib0065"><span class="elsevierStyleSup">13</span></a> Recently published series from developed countries have postulated predictors of prolonged length of hospital stay (LOS) and discharge destination following LT.<a class="elsevierStyleCrossRef" href="#bib0045"><span class="elsevierStyleSup">9</span></a>,<a class="elsevierStyleCrossRef" href="#bib0055"><span class="elsevierStyleSup">11</span></a>,<a class="elsevierStyleCrossRef" href="#bib0065"><span class="elsevierStyleSup">13</span></a> Early discharge after LT can be feasible; however, to our knowledge, no studies on economic impact of this strategy have been published in South America.</p><p id="p0015" class="elsevierStylePara elsevierViewall">Different common problems are seen in most South American countries, such as overpopulation, unorganized urbanization, inflation, poverty and lack of elementary health and social services. Ultimately, this economic burden may impact on the health care of the population. Liver transplantation has been performed since 1968 in South America;<a class="elsevierStyleCrossRef" href="#bib0070"><span class="elsevierStyleSup">14</span></a> still, there are some countries without LT programs in this region. In most of these nations, lack of financial support, as well as lack of educational policies on organ donation exist, ultimately barring access to transplantation. It is in this economic scenario that strategies aimed at reducing medical costs are needed.</p><p id="p0020" class="elsevierStylePara elsevierViewall">We believe identifying predictors of Early Discharge after LT (ERDALT) is feasible. In an attempt identify immediate pre and post-LT predictors of ERDALT; we have recently reviewed our clinical care pathways and discharge planning processes following LT. The aim of this study was to propose a clinical predictive score of ERDALT that would help to identify those patients who might be discharge earlier, prepare them better for the post-transplant period and reduce transplant costs.</p></span><span id="s0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="st0020">Material and Methods</span><p id="p0025" class="elsevierStylePara elsevierViewall">Prospectively collected data was retrospectively reviewed including all consecutive adult (≥ 18 years) liver transplant recipients between October 2001 and December 2013 in order to identify predictive factors for ERDALT. This study was conducted at the Austral University Hospital, from Argentina. Pediatric patients were excluded from the analysis. Information was obtained from medical records and from an electronic database. Patients who died during the immediate post transplant period and were not discharged from hospital were also included in the analysis.</p><p id="p0030" class="elsevierStylePara elsevierViewall">Pre-transplant variables included in the analysis were: recipient’s age, gender, etiology of liver disease, history of previous abdominal surgery and presence of clinically severe ascites. Additionally, patient hospitalization status in Intensive Care Unit (ICU) and renal replacement therapy (RRT) immediately prior to transplant were recorded. Laboratory values registered at the time of transplantation were serum creatinine, prothrombine time, International Normalized Ratio (INR), total bilirubin, serum sodium and serum albumin. Immediate pre-transplant Model for End Stage Liver Disease (MELD) score was calculated and patients receiving a MELD exception allocation policy were registered, namely: Hepatocellular carcinoma (HCC) within Milan criteria, and non-HCC reasons such as hepatopulmonary syndrome, familial amiloidotic polyneuropathy, biliary cholangitis, vascular disorders, post-transplant acute artery thrombosis and refractory ascites.</p><p id="p0035" class="elsevierStylePara elsevierViewall">Donor characteristics, age and body mass index (BMI), donor and fluid transport microbial cultures, as well as cold ischemia time (CIT) were registered. Duration of LT surgery (hours); surgical technique, use of Piggy Back technique, T tube placement, type of biliary anastomosis and total blood product consumption (BPC) during organ implant were also included. Total BPC estimation was based on the sum of red blood cells, platelets, cryoprecipitates and plasma units consumed during surgery. Finally, need for RRT and in-hospital infection events after LT were analyzed. The latter was defined as any infectious event requiring antimicrobial treatment during transplant hospitalization.</p><span id="s0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="st0025">Length of hospital stay after liver transplantation</span><p id="p0040" class="elsevierStylePara elsevierViewall">We define LOS as the number of consecutive days from the date of transplantation until hospital discharge, either home or to a special care facility. If a patient was re-transplanted during the first LT hospitalization, LOS was considered from the date of the first LT until discharge. Applying a preselected cutoff value, those patients who were discharged from hospital before the 8th day post transplant were considered ERDALT. This cut-off was previously selected considering recently published data with a mean LOS of 14.9 ± 13.9 days,<a class="elsevierStyleCrossRef" href="#bib0055"><span class="elsevierStyleSup">11</span></a> 16.3 ± 18.2 days,<a class="elsevierStyleCrossRef" href="#bib0045"><span class="elsevierStyleSup">9</span></a> and 13.7 ± 17.5 days.<a class="elsevierStyleCrossRef" href="#bib0065"><span class="elsevierStyleSup">13</span></a> Additionally, length of ICU stay after transplantation until transfer to general ward and days of assisted mechanical ventilation (AMV) after LT were recorded in all patients. Early extubation or early weaning form AMV was considered in cases where AMV lasted < 12 h.</p></span><span id="s0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="st0030">Economic analysis</span><p id="p0045" class="elsevierStylePara elsevierViewall">Liver transplant costs were calculated for each transplant event. Only costs directly attributable to the procedure, during hospitalization and its immediate complications were applied. Cost data were obtained from the costs of BPC during surgery, use of cell saver during surgery, induction and maintenance immunosuppression, antimicrobial prophylaxis, rejection episodes, ICU stay and LOS. In addition, costs related to in-hospital infection events were also calculated. Professional fees of hepatologists, transplant surgeons and anesthesiologists were included, although the corresponding fees of the rest of the physicians with fixed salary were not included. Liver transplantation costs were retrospectively calculated applying actual financial values prevailing in Argentina during 2014 and were expressed in US dollars. Average hospital stay costs per-day included expenses related to hospital bed, medications, blood tests and imaging studies. Costs of readmissions were not considered.</p></span><span id="s0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="st0035">Endpoints/Definitions</span><p id="p0050" class="elsevierStylePara elsevierViewall">Primary outcomes analyzed were early discharge from hospital, and patient and graft survival; while secondary outcomes were rate of biopsy-proven acute cellular rejection events (ACR);<a class="elsevierStyleCrossRef" href="#bib0075"><span class="elsevierStyleSup">15</span></a> rate of shortterm re-hospitalization (during the first 30 days after discharge from hospital) and overall LT costs. The Institutional Review Board approved the study protocol and written informed consent was obtained from all patients (or a family member). This study was conducted in conformance with the 2008 Helsinki Declaration.</p></span><span id="s0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="st0040">Statistical analysis</span><p id="p0055" class="elsevierStylePara elsevierViewall">Categorical data were compared applying Fisher’s exact test (2-tailed) or χ<a class="elsevierStyleCrossRef" href="#bib0010"><span class="elsevierStyleSup">2</span></a>-Square test with Yates’ correction. Continuous variables were compared with Student’s T test (mean ± standard deviation) or Mann-Whitney U test (median and interquartile ranges, IQR) according to their distribution. Continuous variables were transformed into qualitative or ordinal variables based on either cut-offs values based on receiver-operating characteristic curve (ROC) analysis or clinical relevance or the median value of the parameter. Univariate and multivariate analysis, using logistic regression were performed in order to identify significant variables related to ERDALT. Those variables with a P value < 0.1 in the univariate analysis were included in the multivariate regression model, generated by stepwise backward elimination (Wald test), P <0.05. Odds Ratios (OR) and 95% Confidence Intervals (CI) derived for each factor in the multivariate analysis were subsequently used as weights (rounded OR’s values divided by the lowest OR observed) to construct a simple clinical prediction rule. Final scores corresponded to sum of points for each individual patient. Calibration and validation of the model was performed by Hosmer-Lemeshow test and bootstrapping technique (1000 samples), respectively. Model goodness of fit and discrimination power was assessed by ROC analysis and concordance statistic calculated. Finally, Kaplan Meier survival curves were performed and compared using log-rank test. Collected data was analyzed with R software (version 3.0.1 for Mac).</p></span></span><span id="s0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="st0045">Results</span><span id="s0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="st0050">Demographic characteristics and clinical data</span><p id="p0060" class="elsevierStylePara elsevierViewall">A total of 289 patients were included in the analysis. Mean recipients’ age was 52 ± 13 years, 168 were male (58.1%), 58 patients had pre transplant diabetes mellitus (20.6%). Principal etiologies of liver disease were hepatitis C virus infection 21.8% (n = 63), alcoholic liver disease 13.8% (n = 39) and non-alcoholic fatty liver disease 13.5% (n = 38). Overall, 29 patients had acute liver failure (10.0%), 17 patients re-transplantation (5.6%), 9 patients with simultaneous liver-kidney transplantation (3.1%), 22 patients received a living donor LT (7.5%) and 41 patients had HCC (14.2%). MELD supplementary points were allocated in 53 patients (18.7%), of whom 26 (49.1%) and 27 patients (50.9%) were because of HCC within Milan criteria and other non-HCC reasons, respectively. Fifty-one patients were located at ICU immediately before transplant (18.2%), and 6 patients were under RRT. Mean transplant surgery time was 6.6 ± 2.2 hs, with a median BPC of 16 units (IQR 13 units) and cell saver was used in 61 patients (22.9%). Early extubation from AVM was performed in 157 patients (54.4%). Positive microbial cultures on donor or graft transport fluids were observed in 21 (7.3%) and 24 patients (8.3%), respectively (<a class="elsevierStyleCrossRef" href="#t0005">Table 1</a>).</p><elsevierMultimedia ident="t0005"></elsevierMultimedia><p id="p0065" class="elsevierStylePara elsevierViewall">Overall median LOS was 14.5 days (IQR 13 days), with a median stay in ICU and duration of AMV of 5 and 0 days, respectively. In-hospital mortality rate was 9.9% (n = 30), whereas in-hospital infections and short-term re-hospitalization rates were 38.8% (n = 112) and 23.3% (n = 60), respectively. One hundred and twelve patients (38.9%) had at least 1 ACR event, 29% (n = 32) of these events occurred during LT hospitalization and 71% (n = 80) after discharge from hospital. The median LT cost among the entire cohort was $28,206 (IQR 8,536). For a median follow-up time of 35 months, overall patient and graft survival rates at 1 and 5 years after LT were 86.8 and 76.8%, and 76.7 and 75.4%, respectively.</p></span><span id="s0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="st0055">Patients with early discharge from hospital after liver transplantation</span><p id="p0070" class="elsevierStylePara elsevierViewall">Thirty-four patients (11.8%) were discharged within the first 8 days post LT. Patients who were discharged early had lower pre transplant MELD score (15 ± 11 <span class="elsevierStyleItalic">vs.</span> 19 ± 10, P = 0.021), and 47.1% of these were granted with MELD exception points (n = 16/34; P < 0.0001). No significant differences related to proportion of patients with HCC and MELD exception points between groups were observed. Significant differences were observed between patients with or without ERALDT among the following baseline parameters: presence of severe pre-LT ascites (23.5 <span class="elsevierStyleItalic">vs.</span> 43.3%; P = 0.02) and pre-LT serum creatinine (0.81 ± 0.35 mg/dL <span class="elsevierStyleItalic">vs.</span> 1.13 ± 0.89 mg/dL; P = 0.04). No statistically significant differences were observed regarding quality of donors, namely: age (41 ± 17 <span class="elsevierStyleItalic">vs:</span> 40 ± 16 years; P = 0.67), donor BMI (27.7 ± 5.5 <span class="elsevierStyleItalic">vs.</span> 25.8 ± 3.4 kg/m<a class="elsevierStyleCrossRef" href="#bib0010"><span class="elsevierStyleSup">2</span></a>, P = 0.08), positive microbial cultures on donor or graft transport fluids (20.6 <span class="elsevierStyleItalic">vs.</span> 13.7%; P = 0.20), or CIT duration (6.6 ± 1.8 <span class="elsevierStyleItalic">vs.</span> 7.7 ± 2.1 h, P = 0.49).</p><p id="p0075" class="elsevierStylePara elsevierViewall">LT surgery time was shorter for ERDALT patients (4.8 ± 2.2 <span class="elsevierStyleItalic">vs.</span> 6.8 ± 2.1 h; P < 0.0001), no T tube placement was required (0 <span class="elsevierStyleItalic">vs.</span> 30.6%; P = 0.004) and less median BPC during LT surgery was observed (5.0 <span class="elsevierStyleItalic">vs.</span> 18.0 units; P < 0.0001). Median LOS of patients with and without ERDALT was significantly different (7.0 <span class="elsevierStyleItalic">vs.</span> 15.5 days; P < 0.0001), as well as ICU stay (4.0 vs. 5.0 days; P = 0.014). ERDALT patients were more frequently early extubated from AMV (91.2 <span class="elsevierStyleItalic">vs.</span> 49.6%; P < 0.0001) and presented less in-hospital infections events (0 <span class="elsevierStyleItalic">vs.</span> 43.9%; P = 0.0001).</p></span><span id="s0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="st0060">Survival analysis, liver transplant costs and re-hospitalization rates</span><p id="p0080" class="elsevierStylePara elsevierViewall">Kaplan Meier analysis revealed significant differences with respect to patient and graft survival at 1 and 5 years between patients with and without ERDALT. Kaplan Meier curve revealed significant difference on 3-year patient survival rate and a trend for improved graft survival between patients with and without ERDALT (97.1 <span class="elsevierStyleItalic">vs.</span> 79.2%, respectively; P = 0.02, and 91.2% <span class="elsevierStyleItalic">vs.</span> 74.5%, P = 0.05, log rank test, respectively) (<a class="elsevierStyleCrossRef" href="#f0005">Figure 1</a>).</p><elsevierMultimedia ident="f0005"></elsevierMultimedia><p id="p0085" class="elsevierStylePara elsevierViewall">There were no significant differences between both groups regarding early re-hospitalization rate (ERDALT 20.6%, n = 7/34 <span class="elsevierStyleItalic">vs.</span> no ERDALT 23.8%, n = 53/223; P = 0.43). Patients with ERDALT had lower rate of ACR during the first 3 months after LT than patients discharged from hospital later (18.2%, n = 6/34 <span class="elsevierStyleItalic">vs.</span> 42.0%, n = 94/ 224; P = 0.006), and similar rate of ACR after hospital discharge (14.7%, n = 5/34 vs. 10.7%, n = 24/224; P = 0.32).</p><p id="p0090" class="elsevierStylePara elsevierViewall">Analysis of expenditure comparison between patients with or without ERDALT revealed that the median overall LT costs were lower for early discharge patients ($23,078, IQR 6,866 <span class="elsevierStyleItalic">vs.</span> $28,986, IQR 118,036; P < 0.0001, respectively). This difference between subgroups were due to a significant difference in costs of hospital stay ($1,113, IQR 1,013 <span class="elsevierStyleItalic">vs.</span> $823, IQR 19,664; P < 0.0001), cost of duration of the transplant surgery ($929, IQR 709 <span class="elsevierStyleItalic">vs.</span> $1,229, IQR 2,930; P < 0.0001), BPC ($713, IQR 1,718 <span class="elsevierStyleItalic">vs.</span> $1,396, IQR 12,175; P < 0.0001), ICU stay ($2,261, IQR 1,130 <span class="elsevierStyleItalic">vs.</span> $3,391, IQR 105,138; P < 0.0001) and immunosuppression during hospitalization ($459, IQR 262 <span class="elsevierStyleItalic">vs.</span> $1,050, IQR 12,216; P < 0.0001).</p></span><span id="s0055" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="st0065">Predictive variables for early discharge from hospital after liver transplantation</span><p id="p0095" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#t0010">Table 2</a> shows immediate pre and post-LT associated variables with ERDALT in the univariate analysis. Pre-LT variables associated with ERDALT were as follows: MELD score < 15 (P = 0.03), supplementary MELD points (P < 0.0001), severe ascites (P = 0.03) and ICU stay immediately before transplant (P = 0.04). Among post transplant variables, LT surgery duration < 4 h (P < 0.0001), requirement of < 5 units of BPC (P < 0.0001) and early weaning from AMV (P < 0.0001) were related with ERDALT. Variables independently associated with ERDALT after multivariate stepwise regression analysis were MELD exception points OR 1.9 (1.09-4.87, P = 0.04), surgery time < 4 h OR 3.8 (1.34-10.64, P = 0.013), < 5 units of BPC OR 3.5 (1.47-8.45, P = 0.001) and early weaning from AMV OR 6.3 (1.75-22.33, P = 0.006). Model calibration with Hosmer-Lemeshow test showed no significant differences between observed and expected events (P = 0.58). Bootstrap validation showed overfitting was negligible and therefore no adjustment of logistic regression model estimates was required (<a class="elsevierStyleCrossRef" href="#t0015">Table 3</a>).</p><elsevierMultimedia ident="t0010"></elsevierMultimedia><elsevierMultimedia ident="t0015"></elsevierMultimedia><p id="p0100" class="elsevierStylePara elsevierViewall">Using these variables, a predictive score for ERDALT was constructed. Each of the predictors was assigned with points depending on its OR from logistic regression multivariate analysis divided by 1.9, which was the lowest OR observed. Points in the predictive scoring system for ERDALT were allocated as follows: MELD exception points (absence = 0 points, presence = 1 point), surgery time < 4 h (absence = 0 points, presence = 2 points), < 5 units of BPC (absence = 0 points, presence = 2 points), and early weaning from AMV (absence = 0 points, presence = 3 points)(<a class="elsevierStyleCrossRef" href="#t0020">Table 4</a>). Final scores ranged from 0 to 8 points and ROC curve revealed good discriminatory power for the model with a c-statistic of 0.83 (95% CI 0.77-0.90; P < 0.0001), and best performance for a cut-off ≥ 3 points (67% sensitivity, 82% specificity) (<a class="elsevierStyleCrossRef" href="#f0010">Figure 2</a>). Positive and negative predictive values were 0.20 and 0.99, respectively. Probability of ERDALT increased progressively as scores went from 0-1 to 2-3, 4-5 to 6-8 points in the following percentages: 0.9% (n = 1/116), 9.7% (n = 10/ 103), 19.0% (n = 8/42), and 53.4% (n = 15/28), respectively (Goodman & Kruskall Gamma P = 0.0001) (<a class="elsevierStyleCrossRef" href="#f0015">Figure 3</a>). A clinical nomogram and possible clinical scenarios and application are shown in <a class="elsevierStyleCrossRef" href="#f0020">figure 4</a>.</p><elsevierMultimedia ident="t0020"></elsevierMultimedia><elsevierMultimedia ident="f0010"></elsevierMultimedia><elsevierMultimedia ident="f0015"></elsevierMultimedia><elsevierMultimedia ident="f0020"></elsevierMultimedia></span></span><span id="s0060" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="st0070">Discussion</span><p id="p0105" class="elsevierStylePara elsevierViewall">Our results provide relevant information in the field of health care costs of LT. We have evaluated the feasibility of early discharge from hospital after LT and constructed a predictive model. Our data shows that the following immediate pre and post-LT variables can identify patients suitable for ERDALT: exception MELD points, < 5 units of BPC, surgery time ≤ 4 h and early weaning from AMV. We believe that using these factors might be an additional tool to identify patients suitable for a short hospitalization and help reducing LT hospitalization costs. This cost opportunity should also be viewed in light of the fact that early discharge from hospital may allow more procedures, operations for other patients as well as less occupation of hospital beds.</p><p id="p0110" class="elsevierStylePara elsevierViewall">Recently published data from the United Network for Organ Sharing (UNOS) has shown that mean LOS is 14.9 ± 13.9 days.<a class="elsevierStyleCrossRef" href="#bib0055"><span class="elsevierStyleSup">11</span></a>,<a class="elsevierStyleCrossRef" href="#bib0080"><span class="elsevierStyleSup">16</span></a> Other series have reported LOS of 16.3 ± 18.2 days,<a class="elsevierStyleCrossRef" href="#bib0045"><span class="elsevierStyleSup">9</span></a>,<a class="elsevierStyleCrossRef" href="#bib0085"><span class="elsevierStyleSup">17</span></a> and 13.7 ± 17.5 days.<a class="elsevierStyleCrossRef" href="#bib0065"><span class="elsevierStyleSup">13</span></a>,<a class="elsevierStyleCrossRefs" href="#bib0090"><span class="elsevierStyleSup">18</span></a><span class="elsevierStyleSup">–</span><a class="elsevierStyleCrossRef" href="#bib0105"><span class="elsevierStyleSup">21</span></a> Overall median LOS in our series was 14.5 days, 12% of the patients were discharged from hospital during the first week after surgery with a short-term re-hospitalization rate of 23%. Predictors of LOS after LT have already been described, such as recipient and donor age, two or more previous liver transplants, ICU status prior to LT, recipients’ body mass index (BMI), RRT before transplantation<a class="elsevierStyleCrossRef" href="#bib0045"><span class="elsevierStyleSup">9</span></a>,<a class="elsevierStyleCrossRef" href="#bib0055"><span class="elsevierStyleSup">11</span></a>,<a class="elsevierStyleCrossRef" href="#bib0065"><span class="elsevierStyleSup">13</span></a> and early extubation from AMV after surgery.<a class="elsevierStyleCrossRef" href="#bib0110"><span class="elsevierStyleSup">22</span></a> We chose a cut-off for ERDALT of 8 days based on these aforementioned data and considering that our median LOS was 14.5 days. We considered that an 8-day cut off was clinically relevant, and statistically comparable between groups.</p><p id="p0115" class="elsevierStylePara elsevierViewall">We focused our analysis on immediate pre and post-LT variables related with LOS after LT. Neither recipient or donor age, nor re-transplantation or kidney-liver transplantation showed any significant relationship. Although pre-transplant MELD score did show a link, the only variable included in the MELD score that remained relevant in relation to ERDALT after multivariate analysis was serum creatinine. Controversy however persists in previously reported series regarding MELD score and LOS.<a class="elsevierStyleCrossRef" href="#bib0045"><span class="elsevierStyleSup">9</span></a>,<a class="elsevierStyleCrossRef" href="#bib0060"><span class="elsevierStyleSup">12</span></a>,<a class="elsevierStyleCrossRef" href="#bib0065"><span class="elsevierStyleSup">13</span></a>,<a class="elsevierStyleCrossRef" href="#bib0115"><span class="elsevierStyleSup">23</span></a> However, those patients granted with supplementary MELD points, particularly those with HCC, had the highest probability of early discharge from hospital. Immediate post-transplant variables, such as < 5 units of BPC, early weaning from AMV and LT surgery duration < 4 h were considered factors affecting LOS and were included in the final model. It seems that the influence of pre-transplant variables on the ERDALT predictive model, including those related with portal hypertension and its complications, appear to be lower than those events occurring during the transplant procedure or immediate post-LT period. It may be that these data might be surrogate markers of a short and uncomplicated transplant surgery.</p><p id="p0120" class="elsevierStylePara elsevierViewall">Previously reported data indicates liberation from mechanical ventilation shortly after LT is feasible. Some authors have even recommended immediate extubation after surgery, thus circumventing ICU stay entirely.<a class="elsevierStyleCrossRef" href="#bib0120"><span class="elsevierStyleSup">24</span></a>,<a class="elsevierStyleCrossRef" href="#bib0125"><span class="elsevierStyleSup">25</span></a> This strategy has not been applied at our center. All patients are transferred to the ICU following transplantation. In the article of reference, LT operative time and intraoperative transfusion requirements were described as predictors for need of ICU admission.<a class="elsevierStyleCrossRef" href="#bib0120"><span class="elsevierStyleSup">24</span></a>,<a class="elsevierStyleCrossRef" href="#bib0125"><span class="elsevierStyleSup">25</span></a> These authors proposed a scoring model for fast tracking and avoiding costly ICU stay after LT. Nine variables were identified, including BPC, operative time, MELD score, body mass index and age at time of transplant. Our model included only 4 variables, including 1 pre LT and 3 immediate post LT factors.</p><p id="p0125" class="elsevierStylePara elsevierViewall">Conflicting data has been reported regarding the impact of donor variables on LOS and LT costs.<a class="elsevierStyleCrossRef" href="#bib0045"><span class="elsevierStyleSup">9</span></a>,<a class="elsevierStyleCrossRef" href="#bib0055"><span class="elsevierStyleSup">11</span></a>,<a class="elsevierStyleCrossRef" href="#bib0065"><span class="elsevierStyleSup">13</span></a>,<a class="elsevierStyleCrossRef" href="#bib0115"><span class="elsevierStyleSup">23</span></a>,<a class="elsevierStyleCrossRef" href="#bib0130"><span class="elsevierStyleSup">26</span></a>,<a class="elsevierStyleCrossRef" href="#bib0135"><span class="elsevierStyleSup">27</span></a> No significant differences in CIT or rate of positive donor microbial cultures between patients with and without ERDALT were observed. It could be argued that patients with ERDALT had shorter LOS because this group also presented lower ACR events and in-hospital infections events.<a class="elsevierStyleCrossRef" href="#bib0055"><span class="elsevierStyleSup">11</span></a> Again, the variables included in the multivariate model might be surrogate markers of lower ACR and in-hospital infection events. In hospital infection was considered present not only in patient manifesting symptoms of infection (bacterial, viral or fungi), but also in cases with positive microbial cultures in samples from on donor tissue or graft transport fluid (13.7%). Although inhospital infection rates seem high in this series, exclusion of the latter group would cause the total to drop to 29.3%. Nevertheless, because some patients with positive donor/ transport fluid cultures required intravenous antibiotic treatment, these events were recorded as inhospital infection cases for the purpose of our database. We observed that patients not discharge early had a significantly higher inhospital infection rates, probably because surrogate markers of infection such as prolonged surgery, higher BPC, ACR events were also present in these patients. Moreover, applying the ERDALT scoring might identify patients less prone to develop ACR events or hospital re-admissions.</p><p id="p0130" class="elsevierStylePara elsevierViewall">Almost all previously published reports have focused on predictors of prolonged LOS and not on early discharge from hospital after LT. In a recent report from UNOS data, short LOS definition was set at < 11 days;<a class="elsevierStyleCrossRef" href="#bib0055"><span class="elsevierStyleSup">11</span></a> authors referred ROC predictive value was poor in different models for assessing LOS after LT, including short LOS (ROC 0.56-0.70).<a class="elsevierStyleCrossRef" href="#bib0055"><span class="elsevierStyleSup">11</span></a> Our predictive model for ERDALT, on the other hand, showed a good accuracy, with a c-statistic > 0.80, moderate sensitivity (70%) and high specificity (82%) with the best cut-off at ≥ 3 points.</p><p id="p0135" class="elsevierStylePara elsevierViewall">Finally, limited information on LT costs is available for South America since MELD score policy implementation. Argentina was the second country in the world to adopt this organ allocation policy in July 2005. Albeit, waiting list mortality has been reduced in our country,<a class="elsevierStyleCrossRef" href="#bib0140"><span class="elsevierStyleSup">28</span></a> it has not been explored if higher MELD score recipients may promote higher LT costs.<a class="elsevierStyleCrossRef" href="#bib0060"><span class="elsevierStyleSup">12</span></a>,<a class="elsevierStyleCrossRef" href="#bib0115"><span class="elsevierStyleSup">23</span></a>,<a class="elsevierStyleCrossRef" href="#bib0145"><span class="elsevierStyleSup">29</span></a>,<a class="elsevierStyleCrossRef" href="#bib0155"><span class="elsevierStyleSup">31</span></a> Financial charges for LT in our country are around $30,000-35,000. Liver transplant inpatient costs in the United States have been estimated to range between $80,000 and $114,300, with mean hospital charges of $358,200.<a class="elsevierStyleCrossRef" href="#bib0035"><span class="elsevierStyleSup">7</span></a>,<a class="elsevierStyleCrossRef" href="#bib0130"><span class="elsevierStyleSup">26</span></a> If such prices were applied in Argentina, access to LT would be extremely limited.</p><p id="p0140" class="elsevierStylePara elsevierViewall">Certain limitations to our findings merit mention. First, ERDALT was artificially defined with a cut-off point of 8 days of LOS. We thought that a good definition for early discharge form hospital after LT was the time point of 1 week, as was suggested in the literature,<a class="elsevierStyleCrossRef" href="#bib0055"><span class="elsevierStyleSup">11</span></a> considering that median LOS was 14.5 days. Second, overall LT costs calculation is still a complex issue. We tried to reduce any errors and misleading cost analysis including every data, as objective markers of resource utilization.<a class="elsevierStyleCrossRef" href="#bib0135"><span class="elsevierStyleSup">27</span></a> Finally, we acknowledge that no scoring system is perfect and an external validation cohort for our model is needed. Therefore, this scoring model should be used along with clinical judgment in deciding whether to early discharge patients after LT.</p><p id="p0145" class="elsevierStylePara elsevierViewall">With respect to future planning processes based on the ERDALT score, we will attempt to fast-track the immunosuppression regimes in LT recipients with ERDALT scores ≥ 3 points, to avoid treatment delays while waiting for therapeutic CNI trough levels, which can be attained during outpatient follow up. Furthermore, for patients presenting ERADLT score ≥ 3 points we hope to limit admission to ICU to less than 24 h.</p><p id="p0150" class="elsevierStylePara elsevierViewall">In summary, our data suggests that early discharge from hospital following LT is feasible. More importantly, it does not have a negative impact on patient or graft survival, nor did increase shortterm re-hospitalization or ACR rates after discharge. We are now implementing our predictive model in order to help us to prepare patients and their families better for the post-transplant period and improve their expectations. We believe the model has already contributed to immediate post-LT early discharge planning, helping fast-track LT recipients to avoid ICU or prolonged hospitalization.</p></span><span id="s0065" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="st0075">Abbreviations</span><p id="p0155" class="elsevierStylePara elsevierViewall"><ul class="elsevierStyleList" id="l0005"><li class="elsevierStyleListItem" id="u0005"><span class="elsevierStyleLabel">•</span><p id="p0160" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">ACR:</span> acute cellular rejection events.</p></li><li class="elsevierStyleListItem" id="u0010"><span class="elsevierStyleLabel">•</span><p id="p0165" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">AMV:</span> assisted mechanical ventilation.</p></li><li class="elsevierStyleListItem" id="u0015"><span class="elsevierStyleLabel">•</span><p id="p0170" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">AUROC:</span> Area Under Receiver Operating Characteristics.</p></li><li class="elsevierStyleListItem" id="u0020"><span class="elsevierStyleLabel">•</span><p id="p0175" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">BMI:</span> body mass index.</p></li><li class="elsevierStyleListItem" id="u0025"><span class="elsevierStyleLabel">•</span><p id="p0180" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">BPC:</span> blood product consumption.</p></li><li class="elsevierStyleListItem" id="u0030"><span class="elsevierStyleLabel">•</span><p id="p0185" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">CI:</span> confidence interval.</p></li><li class="elsevierStyleListItem" id="u0035"><span class="elsevierStyleLabel">•</span><p id="p0190" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">CIT:</span> cold ischemia time.</p></li><li class="elsevierStyleListItem" id="u0040"><span class="elsevierStyleLabel">•</span><p id="p0195" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">DRI:</span> donor risk index.</p></li><li class="elsevierStyleListItem" id="u0045"><span class="elsevierStyleLabel">•</span><p id="p0200" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">HCC:</span> hepatocellular carcinoma.</p></li><li class="elsevierStyleListItem" id="u0050"><span class="elsevierStyleLabel">•</span><p id="p0205" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">HE:</span> hepatic encephalopathy.</p></li><li class="elsevierStyleListItem" id="u0055"><span class="elsevierStyleLabel">•</span><p id="p0210" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">ICU:</span> Intensive Care Unit.</p></li><li class="elsevierStyleListItem" id="u0060"><span class="elsevierStyleLabel">•</span><p id="p0215" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">INR:</span> international normalized ratio.</p></li><li class="elsevierStyleListItem" id="u0065"><span class="elsevierStyleLabel">•</span><p id="p0220" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">IQR:</span> interquartile range.</p></li><li class="elsevierStyleListItem" id="u0070"><span class="elsevierStyleLabel">•</span><p id="p0225" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">LDLT:</span> living donor liver transplantation.</p></li><li class="elsevierStyleListItem" id="u0075"><span class="elsevierStyleLabel">•</span><p id="p0230" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">LOS:</span> length of hospital stay.</p></li><li class="elsevierStyleListItem" id="u0080"><span class="elsevierStyleLabel">•</span><p id="p0235" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">LT:</span> liver transplantation.</p></li><li class="elsevierStyleListItem" id="u0085"><span class="elsevierStyleLabel">•</span><p id="p0240" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">MELD:</span> Model for End-stage Liver Disease.</p></li><li class="elsevierStyleListItem" id="u0090"><span class="elsevierStyleLabel">•</span><p id="p0245" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">NAFLD:</span> non-alcoholic fatty liver disease.</p></li><li class="elsevierStyleListItem" id="u0095"><span class="elsevierStyleLabel">•</span><p id="p0250" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">OR:</span> odds ratio.</p></li><li class="elsevierStyleListItem" id="u0100"><span class="elsevierStyleLabel">•</span><p id="p0255" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">ROC:</span> receiving operator curve analysis.</p></li><li class="elsevierStyleListItem" id="u0105"><span class="elsevierStyleLabel">•</span><p id="p0260" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">RRT:</span> renal replacement therapy.</p></li><li class="elsevierStyleListItem" id="u0110"><span class="elsevierStyleLabel">•</span><p id="p0265" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">SBP:</span> spontaneous bacterial peritonitis.</p></li><li class="elsevierStyleListItem" id="u0115"><span class="elsevierStyleLabel">•</span><p id="p0270" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">UNOS:</span> United Network for Organ Sharing.</p></li></ul></p></span><span id="s0070" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="st0080">Grants and Financial Support & Conflicts of Interest</span><p id="p0275" class="elsevierStylePara elsevierViewall">All authors of this manuscript have not received any grant or funding from agencies in the public, commercial, or not-for-profit sectors and have no conflicts of interest to disclose as described by the <span class="elsevierStyleItalic">Annals of Hepatology Journal.</span></p></span><span id="s0075" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="st0085">Acknowledgments</span><p id="p0280" class="elsevierStylePara elsevierViewall">We thank C Podesta for her assistance with editing this paper.</p></span></span>" "textoCompletoSecciones" => array:1 [ "secciones" => array:10 [ 0 => array:3 [ "identificador" => "xres1199877" "titulo" => "Abstract" "secciones" => array:1 [ 0 => array:1 [ "identificador" => "abs0010" ] ] ] 1 => array:2 [ "identificador" => "xpalclavsec1118313" "titulo" => "Keywords" ] 2 => array:2 [ "identificador" => "s0005" "titulo" => "Introduction" ] 3 => array:3 [ "identificador" => "s0010" "titulo" => "Material and Methods" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "s0015" "titulo" => "Length of hospital stay after liver transplantation" ] 1 => array:2 [ "identificador" => "s0020" "titulo" => "Economic analysis" ] 2 => array:2 [ "identificador" => "s0025" "titulo" => "Endpoints/Definitions" ] 3 => array:2 [ "identificador" => "s0030" "titulo" => "Statistical analysis" ] ] ] 4 => array:3 [ "identificador" => "s0035" "titulo" => "Results" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "s0040" "titulo" => "Demographic characteristics and clinical data" ] 1 => array:2 [ "identificador" => "s0045" "titulo" => "Patients with early discharge from hospital after liver transplantation" ] 2 => array:2 [ "identificador" => "s0050" "titulo" => "Survival analysis, liver transplant costs and re-hospitalization rates" ] 3 => array:2 [ "identificador" => "s0055" "titulo" => "Predictive variables for early discharge from hospital after liver transplantation" ] ] ] 5 => array:2 [ "identificador" => "s0060" "titulo" => "Discussion" ] 6 => array:2 [ "identificador" => "s0065" "titulo" => "Abbreviations" ] 7 => array:2 [ "identificador" => "s0070" "titulo" => "Grants and Financial Support & Conflicts of Interest" ] 8 => array:2 [ "identificador" => "s0075" "titulo" => "Acknowledgments" ] 9 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2015-02-23" "fechaAceptado" => "2015-04-20" "PalabrasClave" => array:1 [ "en" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec1118313" "palabras" => array:4 [ 0 => "Health care" 1 => "Hospital stay" 2 => "Transplant" 3 => "Resources" ] ] ] ] "tieneResumen" => true "resumen" => array:1 [ "en" => array:2 [ "titulo" => "Abstract" "resumen" => "<span id="abs0010" class="elsevierStyleSection elsevierViewall"><p id="sp0045" class="elsevierStyleSimplePara elsevierViewall"><span class="elsevierStyleBold">Background & rationale.</span> Limited information related to Liver Transplantation (LT) costs in South America exists. Additionally, costs analysis from developed countries may not provide comparable models for those in emerging economies. We sought to evaluate a predictive model of Early Discharge from Hospital after LT (ERDALT = length of hospital stay ≤ 8 days). A predictive model was assessed based on the odds ratios (OR) from a multivariate regression analysis in a cohort of consecutively transplanted adult patients in a single center from Argentina and internally validated with bootstrapping technique.</p><p id="sp0140" class="elsevierStyleSimplePara elsevierViewall"><span class="elsevierStyleBold">Results.</span> ERDALT was applicable in 34 of 289 patients (11.8%). Variables independently associated with ERDALT were MELD exception points OR 1.9 (P = 0.04), surgery time < 4 h OR 3.8 (P = 0.013), < 5 units of blood products consumption (BPC) OR 3.5 (P = 0.001) and early weaning from mechanical intubation OR 6.3 (P = 0.006). Points in the predictive scoring model were allocated as follows: MELD exception points (absence = 0 points, presence = 1 point), surgery time < 4 h (0-2 points), < 5 units of BPC (0-2 points), and early weaning (0-3 points). Final scores ranged from 0 to 8 points with a c-statistic of 0.83 (95% CI 0.77-0.90; P < 0.0001). Transplant costs were significantly lower in patients with ERDALT (median $23,078 <span class="elsevierStyleItalic">vs.</span> $28,986; P < 0.0001). Neither lower patient and graft survival, nor higher rates of short-term re-hospitalization and acute rejection events after discharge were observed in patients with ERDALT. In conclusion, the ERDALT score identifies patients suitable for early discharge with excellent outcomes after transplantation. This score may provide applicable models particularly for emerging economies.</p></span>" ] ] "multimedia" => array:8 [ 0 => array:7 [ "identificador" => "f0005" "etiqueta" => "Figure 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 524 "Ancho" => 1045 "Tamanyo" => 55496 ] ] "descripcion" => array:1 [ "en" => "<p id="sp0005" class="elsevierStyleSimplePara elsevierViewall">Kaplan Meier patient (<span class="elsevierStyleBold">A</span>) and graft (<span class="elsevierStyleBold">B</span>) 3-year survival comparative analysis between patients with and without early discharge from hospital after liver transplantation. Kaplan Meier curves revealed significant differences on 3-year patient and graft survival rates between patients with and without ERDALT (97.1 <span class="elsevierStyleItalic">vs.</span> 79.2%, respectively; P = 0.021, and 91.2% <span class="elsevierStyleItalic">vs.</span> 74.5%, P = 0.05, log rank test, respectively). ERDALT: early discharge from hospital after liver transplantation. LT: liver transplantation.</p>" ] ] 1 => array:7 [ "identificador" => "f0010" "etiqueta" => "Figure 2" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr2.jpeg" "Alto" => 778 "Ancho" => 504 "Tamanyo" => 40549 ] ] "descripcion" => array:1 [ "en" => "<p id="sp0010" class="elsevierStyleSimplePara elsevierViewall">Concordance statistic of predictive score for early discharge after liver transplantation (ERDALT). A predictive ERDALT score was calculated [AUROC of 0.83 (CI 0.77-0.90, P < 0.0001), 67% sensitivity and 82%% specificity for a cut-off ≥ 3 points]. Parameters assigned points included: pre-LT supplementary exception MELD points 1 point, surgery time < 4 h 2 points, < 5 units of BPC 2 points, and early weaning from AMV 3 points. AMV: assisted mechanical ventilation. AUROC: area under receiver operating characteristic. BPC: total blood product consumption. CI: confidence interval. LT: liver transplantation. PPV: positive predictive value. OR: odds ratio. NVP: negative predictive value.</p>" ] ] 2 => array:7 [ "identificador" => "f0015" "etiqueta" => "Figure 3" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr3.jpeg" "Alto" => 351 "Ancho" => 489 "Tamanyo" => 23254 ] ] "descripcion" => array:1 [ "en" => "<p id="sp0015" class="elsevierStyleSimplePara elsevierViewall">Correlation between points allotted in the predictive model and possibility of early discharge from hospital after liver transplantation. Probability of ERDALT increased progressively as scores went from 0-1 to 2-3, 4-5 to 6-8 points in the following percentages: 0.9% (n = 1/116), 9.7% (n = 10/103), 19.0% (n = 8/42), and 53.4% (n = 15/28), respectively (Goodman & Kruskall Gamma P = 0.0001).</p>" ] ] 3 => array:7 [ "identificador" => "f0020" "etiqueta" => "Figure 4" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr4.jpeg" "Alto" => 883 "Ancho" => 1045 "Tamanyo" => 146223 ] ] "descripcion" => array:1 [ "en" => "<p id="sp0020" class="elsevierStyleSimplePara elsevierViewall">A clinical nomogram for early discharge from hospital after liver transplantation <span class="elsevierStyleBold">(A).</span> Possible clinical scenarios and application <span class="elsevierStyleBold">(B).</span> A clinical nomogram was constructed based on presence or absence of each risk variable to simplify scoring. ERDALT event percentages shown.</p>" ] ] 4 => array:7 [ "identificador" => "t0005" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:2 [ "leyenda" => "<p id="np0005" class="elsevierStyleSimplePara elsevierViewall">LT: liver transplantation. LDLT: living donor liver transplantation. MELD: Model for End Stage Liver Disease. NAFLD: non-alcoholic fatty liver disease.</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="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Variable \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Value \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Age, years, ± SD \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">52 ± 13 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Gender: \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">male/female, n (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">168 (58.1)/121 (41.9) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Diabetes mellitus, n (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">58 (20.6) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">MELD, ± SD \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">19 ± 10 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Etiology, n (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Hepatitis C \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">63 (21.8) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Hepatitis B \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">9 (3.1) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Alcoholic \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">39 (13.8) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Cryptogenic \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">23 (7.8 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Autoimmune \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">43 (15.2) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Cholestatic \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">38 (13.5) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">NAFLD \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">38 (13.5) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Miscellaneous \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">36 (12.4) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Acute liver failure, n (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">29 (10.0) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Re-transplantation, n (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">17 (5.6) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Kidney-LT, n (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">9 (3.1) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">LDLT, n (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">22 (7.5) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Supplementary MELD points, n (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">53 (18.7) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Hepatocellular carcinoma, n (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">41 (14.2) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Intensive Care Unit pre-LT, n (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">51 (18.2) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Renal replacement therapy pre-LT, n (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">6 (2.2) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Donor age, years, ± SD \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">40 ± 16 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Cold ischemia time, minutes, ± SD \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">443 ± 150 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab2049642.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="sp0025" class="elsevierStyleSimplePara elsevierViewall">Patients’ demographic and baseline characteristics.</p>" ] ] 5 => array:7 [ "identificador" => "t0010" "etiqueta" => "Table 2" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:2 [ "leyenda" => "<p id="np0010" class="elsevierStyleSimplePara elsevierViewall">ERDALT: early discharge from hospital after liver transplantation. LT: liver transplantation. LDLT: living donor liver transplantation. MELD: Model for End Stage Liver Disease. SBP: spontaneous bacterial peritonitis.</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="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Variable \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">ERDALT n = 34 (11.8%) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">No ERDALT n = 255 (88.2%) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Odds ratio (95% CI) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">P \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Pre transplant variables \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Diabetes mellitus, n (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">6 (17.6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">52 (21.1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.8 (0.31-2.04) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.65 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Acute liver failure, n (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2 (5.9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">27 (10.6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.6 (0.12-2.32) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.39 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Re-transplantation, n (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2 (5.9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">14 (5.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.9 (0.20-4.31) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.93 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Kidney-LT, n (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0 (0.0) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">9 (3.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.9 (0.84-1.91) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.32 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">LDLT, n (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0 (0.0) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">21 (8.2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.9 (0.83-1.02) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.15 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">MELD < 15, n (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">20 (58.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">96 (39.0) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2.2 (1.07-4.62) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.03 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Supplementary MELD, n (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">16 (47.1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">37 (14.9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">5.1 (2.38-10.87) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">< 0.0001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Severe ascites, n (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">8 (23.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">109 (43.3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.4 (0.17-0.92) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.03 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Variceal bleeding, n (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4 (11.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">53 (21.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.5 (0.16-1.44) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.19 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">SBP, n (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4 (11.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">64 (26.7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.4 (0.12-1.08) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.06 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Hepatic encephalopathy, n (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4 (11.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">60 (24.4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.4 (0.14-1.22) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.11 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Portal vein thrombosis, n (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2 (5.9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">21 (8.7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.6 (0.14-2.93) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.44 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Abdominal surgery, n (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">11 (32.4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">64 (25.3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.4 (0.65-3.06) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.38 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Hepatocellular carcinoma, n (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">8 (23.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">33 (13.0) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2.1 (0.86-4.93) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.10 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Intensive Care Unit, n (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1 (3.0) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">50 (20.2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.1 (0.01-0.92) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.04 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">RRT, n (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0 (0.0) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">6 (2.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.8 (0.83-1.94) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.45 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Post transplant variables \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">LT surgery time < 4 h, n (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">10 (29.4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">18 (7.1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">5.5 (2.27-13.22) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">< 0.0001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">< 5 BPC, n (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">18 (52.9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">33 (12.9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">7.4 (3.45-15.99) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">< 0.0001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Early weaning AMV, n (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">31 (91.2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">126 (49.6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">10.5 (3.13-35.21) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">< 0.0001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Donor/Graft + cultures, n (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">7 (20.6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">35 (13.7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.6 (0.25-1.51) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.29 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab2049643.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="sp0030" class="elsevierStyleSimplePara elsevierViewall">Univariate comparative analysis between patients with and without early discharge from hospital after liver transplantation.</p>" ] ] 6 => array:7 [ "identificador" => "t0015" "etiqueta" => "Table 3" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:2 [ "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="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Variable \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">β \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">OR (CI 95%) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Bootstrapping (CI 95%) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">P \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Exception MELD points<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">*</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.68 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.9 (1.09-4.87) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.06 - 4.76 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.04 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">LT surgery time <4 h<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">**</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.33 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3.8 (1.34-10.64) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.10 - 14.14 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.013 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">< 5 BPC<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">**</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.26 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3.5 (1.47-8.45) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.45 - 8.87 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Early weaning AMV<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">**</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.83 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">6.3 (1.75-22.33) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2.25 - 19.38 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.006 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab2049644.png" ] ] ] "notaPie" => array:2 [ 0 => array:3 [ "identificador" => "tblfn0005" "etiqueta" => "*" "nota" => "<p class="elsevierStyleNotepara" id="npar0005">Pre-LT variables.</p>" ] 1 => array:3 [ "identificador" => "tblfn0010" "etiqueta" => "**" "nota" => "<p class="elsevierStyleNotepara" id="npar0010">Post-LT variables. β coefficient.</p>" ] ] ] "descripcion" => array:1 [ "en" => "<p id="sp0035" class="elsevierStyleSimplePara elsevierViewall">Multivariate logistic regression analysis of risk factors associated with early discharge from hospital after liver transplantation and bootstrapped bias corrected-confidence intervals.</p>" ] ] 7 => array:7 [ "identificador" => "t0020" "etiqueta" => "Table 4" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:2 [ "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="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Variable \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Comments \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Points \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Exception MELD points<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">*</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Presence \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Absence \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">LT surgery time < 4 h<a class="elsevierStyleCrossRef" href="#tblfn0020"><span class="elsevierStyleSup">**</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Presence \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Absence \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">< 5 BPC<a class="elsevierStyleCrossRef" href="#tblfn0020"><span class="elsevierStyleSup">**</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Presence \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Absence \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Early weaning AMV<a class="elsevierStyleCrossRef" href="#tblfn0020"><span class="elsevierStyleSup">**</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Presence \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Absence \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab2049641.png" ] ] ] "notaPie" => array:2 [ 0 => array:3 [ "identificador" => "tblfn0015" "etiqueta" => "*" "nota" => "<p class="elsevierStyleNotepara" id="npar0015">Pre-LT variables.</p>" ] 1 => array:3 [ "identificador" => "tblfn0020" "etiqueta" => "**" "nota" => "<p class="elsevierStyleNotepara" id="npar0020">Post-LT variables.</p>" ] ] ] "descripcion" => array:1 [ "en" => "<p id="sp0040" class="elsevierStyleSimplePara elsevierViewall">Predictive model for early discharge from hospital after liver transplantation: points assigned to each variable (0-8 points).</p>" ] ] ] "bibliografia" => array:2 [ "titulo" => "References" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "bs0010" "bibliografiaReferencia" => array:31 [ 0 => array:3 [ "identificador" => "bib0005" "etiqueta" => "1." 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"referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "The HALOS-ND model: a step in the journey of predicting hospital length of stay after liver transplantation" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:7 [ 0 => "Krishnan K.R." 1 => "Bhattacharya R." 2 => "Pereira A." 3 => "Otto A.K." 4 => "Carithers R.L. Jr" 5 => "Reyes J.D." 6 => "Perkins J.D." ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1111/ctr.12217" "Revista" => array:6 [ "tituloSerie" => "Clin Transplant" "fecha" => "2013" "volumen" => "27" "paginaInicial" => "809" "paginaFinal" => "822" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/23991828" "web" => "Medline" ] ] ] ] ] ] ] ] 11 => array:3 [ "identificador" => "bib0060" "etiqueta" => "12." 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2024 October | 8 | 10 | 18 |
2024 September | 4 | 5 | 9 |
2024 August | 6 | 9 | 15 |
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2024 March | 22 | 4 | 26 |
2024 February | 21 | 10 | 31 |
2024 January | 20 | 5 | 25 |
2023 December | 17 | 5 | 22 |
2023 November | 11 | 4 | 15 |
2023 October | 19 | 8 | 27 |
2023 September | 5 | 1 | 6 |
2023 August | 12 | 3 | 15 |
2023 July | 10 | 2 | 12 |
2023 June | 18 | 5 | 23 |
2023 May | 33 | 7 | 40 |
2023 April | 40 | 8 | 48 |
2023 March | 39 | 2 | 41 |
2023 February | 10 | 14 | 24 |
2023 January | 26 | 13 | 39 |
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2022 November | 33 | 19 | 52 |
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2022 April | 27 | 19 | 46 |
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2021 September | 30 | 15 | 45 |
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2021 July | 13 | 5 | 18 |
2021 June | 20 | 7 | 27 |
2021 May | 36 | 10 | 46 |
2021 April | 60 | 13 | 73 |
2021 March | 48 | 8 | 56 |
2021 February | 26 | 8 | 34 |
2021 January | 28 | 7 | 35 |
2020 December | 13 | 6 | 19 |
2020 November | 18 | 7 | 25 |
2020 October | 13 | 4 | 17 |
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2020 August | 28 | 7 | 35 |
2020 July | 15 | 6 | 21 |
2020 June | 19 | 2 | 21 |
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2020 April | 5 | 4 | 9 |
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2019 December | 8 | 9 | 17 |
2019 November | 4 | 10 | 14 |
2019 October | 4 | 5 | 9 |
2019 September | 5 | 7 | 12 |
2019 August | 1 | 5 | 6 |
2019 July | 8 | 15 | 23 |
2019 June | 5 | 18 | 23 |