Predicting early allograft failure and mortality after liver transplantation: The role of the postoperative model for end-stage liver disease score

被引:53
|
作者
Wagener, Gebhard [1 ]
Raffel, Brian [1 ]
Young, Andrew T. [1 ]
Minhaz, Moury [1 ]
Emond, Jean [2 ]
机构
[1] Columbia Univ, Coll Phys & Surg, Dept Anesthesiol, New York, NY 10032 USA
[2] Columbia Univ, Coll Phys & Surg, Dept Surg, New York, NY 10032 USA
关键词
SINGLE-CENTER EXPERIENCE; POOR GRAFT FUNCTION; RISK-FACTORS; PRIMARY DYSFUNCTION; DEFINITION; RECIPIENTS; RETRANSPLANTATION; SURVIVAL;
D O I
10.1002/lt.23634
中图分类号
R57 [消化系及腹部疾病];
学科分类号
摘要
Early allograft dysfunction (EAD) is a serious complication after liver transplantation (LT). There is no uniform definition of EAD, and most definitions are based on arbitrary laboratory values. The aim of this study was to devise a definition of EAD that maximizes the predictive power for early death and graft failure. In this single-center, retrospective study, the ability of the international normalized ratio (INR), total bilirubin, aspartate aminotransferase (AST), physiological Model for End-Stage Liver Disease (MELD) score, and serum albumin levels within 7 days after LT to predict 90-day mortality or graft loss was compared with 2 previously used definitions of EAD: (1) peak total bilirubin level >10 mg/dL on days 2 to 7 and (2) either a total bilirubin level >10 mg/dL or an INR >1.6 on day 7 or an AST or alanine aminotransferase level >2000 IU/L within the first 7 days. Of 572 enrolled LT patients 38 died or required retransplantation within 90 days. Peak INR, total bilirubin level, AST levels, and MELD scores were predictors of 90-day graft failure. MELD score on postoperative day 5 was the best predictor with an area under the curve of the receiver operating characteristic curve of 0.812 (95% CI: 0.739-0.886, P < 0.001). The best cutoff of MELD score on day 5 for predicting 90-day mortality or graft loss was 18.9. A MELD score >18.9 on postoperative day 5 was a better predictor than any other laboratory value or definition of EAD. This study has demonstrated that the MELD score can be a useful tool not only for pretransplant graft allocation but also for postoperative risk stratification. Liver Transpl 19:534542, 2013. (c) 2013 AASLD.
引用
收藏
页码:534 / 542
页数:9
相关论文
共 50 条
  • [31] Model for End-stage Liver Disease Can Predict Very Early Outcome After Liver Transplantation
    Briceno, J.
    Sanchez-Hidalgo, J. M.
    Naranjo, A.
    Ciria, R.
    Pozo, J. C.
    Luclue, A.
    de la Mata, M.
    Rufian, S.
    Lopez-Cillero, P.
    TRANSPLANTATION PROCEEDINGS, 2008, 40 (09) : 2952 - 2954
  • [32] Performance of the model for end-stage liver disease score for mortality prediction and the potential role of etiology
    D'Amico, Gennaro
    Maruzzelli, Luigi
    Airoldi, Aldo
    Petridis, Ioannis
    Tosetti, Giulia
    Rampoldi, Antonio
    D'Amico, Mario
    Miraglia, Roberto
    De Nicola, Stella
    La Mura, Vincenzo
    Solcia, Marco
    Volpes, Riccardo
    Perricone, Giovanni
    Sgrazzutti, Cristiano
    Vanzulli, Angelo
    Primignani, Massimo
    Luca, Angelo
    Malizia, Giuseppe
    Federico, Alessandro
    Dallio, Marcello
    Andriulli, Angelo
    Iacobellis, Angelo
    Addario, Luigi
    Garcovich, Matteo
    Gasbarrini, Antonio
    Chessa, Luchino
    Salerno, Francesco
    Gobbo, Giulia
    Merli, Manuela
    Ridola, Lorenzo
    Baroni, Gianluca Svegliati
    Tarantino, Giuseppe
    Caporaso, Nicola
    Morisco, Filomena
    Pozzoni, Pietro
    Colli, Agostino
    Belli, Luca Saverio
    JOURNAL OF HEPATOLOGY, 2021, 75 (06) : 1355 - 1366
  • [33] Liver transplantation in the era of model for end-stage liver disease
    Wang, VS
    Saab, S
    LIVER INTERNATIONAL, 2004, 24 (01) : 1 - 8
  • [34] Association of Model for End-Stage Liver Disease Score and Mortality in Trauma Patients With Chronic Liver Disease
    Peetz, Allan
    Salim, Ali
    Askari, Reza
    De Moya, Marc A.
    Olufajo, Olubode A.
    Simon, Tracey G.
    Gibbons, Fiona K.
    Christopher, Kenneth B.
    JAMA SURGERY, 2016, 151 (01) : 41 - 48
  • [35] Model for end-stage liver disease underestimates mortality of patients with acute-on-chronic liver failure waiting for liver transplantation
    Chang, Johannes
    Matheja, Alexandra
    Krzycki, Simon
    Lutz, Philipp
    Boehling, Nina
    Glueckert, Kathleen
    Weismueller, Tobias J.
    van Beekum, Cornelius
    Manekeller, Steffen
    Jansen, Christian
    Kalff, Joerg C.
    Strassburg, Christian P.
    Praktiknjo, Michael
    DIGESTIVE AND LIVER DISEASE, 2022, 54 (06) : 784 - 790
  • [36] A simple scoring model for predicting early graft failure and postoperative mortality after liver transplantation
    Diaz-Nieto, Rafael
    Lykoudis, Panagis
    Robertson, Francis
    Sharma, Dinesh
    Moore, Kevin
    Malago, Massimo
    Davidson, Brian R.
    ANNALS OF HEPATOLOGY, 2019, 18 (06) : 902 - 912
  • [37] Change in model for end-stage liver disease score at two weeks, as an indicator of mortality or liver transplantation at 60 days in acute-on-chronic liver failure
    Kumar, Rajneesh
    Krishnamoorthy, Thinesh Lee
    Tan, Hiang Keat
    Lui, Hock Foong
    Chow, Wan Cheng
    GASTROENTEROLOGY REPORT, 2015, 3 (02): : 122 - 127
  • [38] Model for End-stage Liver Disease (MELD) in Predicting Postoperative Mortality of Patients Undergoing Colorectal Surgery
    Hedrick, Traci L.
    Swenson, Brian R.
    Friel, Charles M.
    AMERICAN SURGEON, 2013, 79 (04) : 347 - 352
  • [39] Analysis of Model for End-Stage Liver Disease (MELD) score in a liver transplantation waiting list
    Ferraz-Neto, B. -H.
    Hidalgo, R.
    Thome, T.
    Melo, V. A., Jr.
    Lobue, A.
    Zurstrassen, M. P. V. C.
    Moraes, J. M., Jr.
    Meira-Filho, S. P.
    Rezende, M. B.
    Fonseca, L. E. P.
    Pandullo, F. L.
    Soeiro, F. S.
    Afonso, R. C.
    TRANSPLANTATION PROCEEDINGS, 2007, 39 (08) : 2511 - 2513
  • [40] Impact of Model for End-stage Liver Disease Score in Post-Liver Transplantation Prognosis
    Annunziata, T. B.
    Paulino, K.
    Fernandes, R.
    Bento, G.
    Stoduto, G.
    Vasconcelos, R.
    Demetrio, L.
    Moreira, L. F. P.
    TRANSPLANTATION PROCEEDINGS, 2016, 48 (07) : 2348 - 2351