Literature DB >> 20104481

Scoring short-term mortality after liver transplantation.

Chung-Shun Wong1, Wei-Chen Lee, Chang-Chyi Jenq, Ya-Chung Tian, Ming-Yang Chang, Chan-Yu Lin, Ji-Tseng Fang, Chih-Wei Yang, Ming-Hung Tsai, Hsin-Chin Shih, Yung-Chang Chen.   

Abstract

Liver transplantation can prolong survival and improve the quality of life of patients with end-stage liver disease. This study retrospectively reviewed the medical records of 149 patients who had received liver transplants in a tertiary care university hospital from January 2000 to December 2007. Demographic, clinical, and laboratory variables were recorded. Each patient was assessed by 4 scoring systems before transplantation and on postoperative days 1, 3, 7, and 14. The overall 1-year survival rate was 77.9%. The Sequential Organ Failure Assessment (SOFA) score had better discriminatory power than the Child-Pugh points, Model for End-Stage Liver Disease score, and RIFLE (risk of renal dysfunction, injury to the kidney, failure of the kidney, loss of kidney function, and end-stage kidney disease) criteria. Moreover, the SOFA score on day 7 post-liver transplant had the best Youden index and highest overall correctness of prediction for 3-month (0.86, 93%) and 1-year mortality (0.62, 81%). Cumulative survival rates at the 1-year follow-up after liver transplantation differed significantly (P < 0.001) between patients who had SOFA scores < or = 7 on post-liver transplant day 7 and those who had SOFA scores > 7 on post-liver transplant day 7. In conclusion, of the 4 evaluated scoring systems, only the SOFA scores calculated before liver transplantation were statistically significant predictors of 3-month and 1-year posttransplant mortality. SOFA on post-liver transplant day 7 had the best discriminative power for predicting 3-month and 1-year mortality after liver transplantation.

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Year:  2010        PMID: 20104481     DOI: 10.1002/lt.21969

Source DB:  PubMed          Journal:  Liver Transpl        ISSN: 1527-6465            Impact factor:   5.799


  24 in total

1.  Value of the SOFA score as a predictive model for short-term survival in high-risk liver transplant recipients with a pre-transplant labMELD score ≥ 30.

Authors:  Harald Schrem; Melanie Reichert; Benedikt Reichert; Thomas Becker; Frank Lehner; Moritz Kleine; Hüseyin Bektas; Kai Johanning; Christian P Strassburg; Jürgen Klempnauer
Journal:  Langenbecks Arch Surg       Date:  2011-12-06       Impact factor: 3.445

2.  Massive blood transfusion after the first cut in liver transplantation predicts renal outcome and survival.

Authors:  Benedikt Reichert; Alexander Kaltenborn; Thomas Becker; Mario Schiffer; Jürgen Klempnauer; Harald Schrem
Journal:  Langenbecks Arch Surg       Date:  2014-03-30       Impact factor: 3.445

3.  Low serum factor V level: early predictor of allograft failure and death following liver transplantation.

Authors:  Mauricio C Zulian; Marcio F Chedid; Aljamir D Chedid; Tomaz J M Grezzana Filho; Ian Leipnitz; Alexandre de Araujo; Mario R Alvares-da-Silva; Mario G Cardoni; Luciano S Guimaraes; Cleber D P Kruel; Cleber R P Kruel
Journal:  Langenbecks Arch Surg       Date:  2015-02-24       Impact factor: 3.445

4.  Application of the BAR score as a predictor of short- and long-term survival in liver transplantation patients.

Authors:  Ivan Dias de Campos Junior; Raquel Silveira Bello Stucchi; Elisabete Yoko Udo; Ilka de Fátima Santana Ferreira Boin
Journal:  Hepatol Int       Date:  2014-08-09       Impact factor: 6.047

5.  Model for end-stage liver disease score predicts complications after liver transplantation.

Authors:  Hans-Christian Pommergaard; Thomas Røjkjær Daugaard; Andreas Arendtsen Rostved; Nicolai Aagaard Schultz; Jens Hillingsø; Paul Suno Krohn; Allan Rasmussen
Journal:  Langenbecks Arch Surg       Date:  2020-11-02       Impact factor: 3.445

6.  High early cardiovascular mortality after liver transplantation.

Authors:  Lisa B VanWagner; Brittany Lapin; Josh Levitsky; John T Wilkins; Michael M Abecassis; Anton I Skaro; Donald M Lloyd-Jones
Journal:  Liver Transpl       Date:  2014-10-24       Impact factor: 5.799

Review 7.  Predictive factors of short term outcome after liver transplantation: A review.

Authors:  Giuliano Bolondi; Federico Mocchegiani; Roberto Montalti; Daniele Nicolini; Marco Vivarelli; Lesley De Pietri
Journal:  World J Gastroenterol       Date:  2016-07-14       Impact factor: 5.742

8.  Developing a Novel Scoring System for Risk Stratification in Living Donor Liver Transplantation.

Authors:  Hao-Chien Hung; Chen-Fang Lee; Ssu-Min Cheng; Wei-Chen Lee
Journal:  J Clin Med       Date:  2021-05-08       Impact factor: 4.241

9.  Sequential Organ Failure Assessment (SOFA) Score-Based Factors Predict Early Mortality in High-Risk Patients with Living Donor Liver Transplant.

Authors:  Hao-Chien Hung; Chin-Hsin Shen; Chen-Fang Lee; Ssu-Min Cheng; Wei-Chen Lee
Journal:  Ann Transplant       Date:  2021-06-11       Impact factor: 1.530

10.  Is SAPS 3 better than APACHE II at predicting mortality in critically ill transplant patients?

Authors:  Vanessa M de Oliveira; Janete S Brauner; Edison Rodrigues Filho; Ruth G A Susin; Viviane Draghetti; Simone T Bolzan; Silvia R R Vieira
Journal:  Clinics (Sao Paulo)       Date:  2013       Impact factor: 2.365

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