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Scoring Systems for Predicting Mortality after Liver Transplantation
BACKGROUND: Liver transplantation can prolong survival in patients with end-stage liver disease. We have proposed that the Sequential Organ Failure Assessment (SOFA) score calculated on post-transplant day 7 has a great discriminative power for predicting 1-year mortality after liver transplantation...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4162558/ https://www.ncbi.nlm.nih.gov/pubmed/25216239 http://dx.doi.org/10.1371/journal.pone.0107138 |
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author | Pan, Heng-Chih Jenq, Chang-Chyi Lee, Wei-Chen Tsai, Ming-Hung Fan, Pei-Chun Chang, Chih-Hsiang Chang, Ming-Yang Tian, Ya-Chung Hung, Cheng-Chieh Fang, Ji-Tseng Yang, Chih-Wei Chen, Yung-Chang |
author_facet | Pan, Heng-Chih Jenq, Chang-Chyi Lee, Wei-Chen Tsai, Ming-Hung Fan, Pei-Chun Chang, Chih-Hsiang Chang, Ming-Yang Tian, Ya-Chung Hung, Cheng-Chieh Fang, Ji-Tseng Yang, Chih-Wei Chen, Yung-Chang |
author_sort | Pan, Heng-Chih |
collection | PubMed |
description | BACKGROUND: Liver transplantation can prolong survival in patients with end-stage liver disease. We have proposed that the Sequential Organ Failure Assessment (SOFA) score calculated on post-transplant day 7 has a great discriminative power for predicting 1-year mortality after liver transplantation. The Chronic Liver Failure - Sequential Organ Failure Assessment (CLIF-SOFA) score, a modified SOFA score, is a newly developed scoring system exclusively for patients with end-stage liver disease. This study was designed to compare the CLIF-SOFA score with other main scoring systems in outcome prediction for liver transplant patients. METHODS: We retrospectively reviewed medical records of 323 patients who had received liver transplants in a tertiary care university hospital from October 2002 to December 2010. Demographic parameters and clinical characteristic variables were recorded on the first day of admission before transplantation and on post-transplantation days 1, 3, 7, and 14. RESULTS: The overall 1-year survival rate was 78.3% (253/323). Liver diseases were mostly attributed to hepatitis B virus infection (34%). The CLIF-SOFA score had better discriminatory power than the Child-Pugh points, Model for End-Stage Liver Disease (MELD) score, RIFLE (risk of renal dysfunction, injury to the kidney, failure of the kidney, loss of kidney function, and end-stage kidney disease) criteria, and SOFA score. The AUROC curves were highest for CLIF-SOFA score on post-liver transplant day 7 for predicting 1-year mortality. The cumulative survival rates differed significantly for patients with a CLIF-SOFA score ≤8 and those with a CLIF-SOFA score >8 on post-liver transplant day 7. CONCLUSION: The CLIF-SOFA score can increase the prediction accuracy of prognosis after transplantation. Moreover, the CLIF-SOFA score on post-transplantation day 7 had the best discriminative power for predicting 1-year mortality after liver transplantation. |
format | Online Article Text |
id | pubmed-4162558 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-41625582014-09-17 Scoring Systems for Predicting Mortality after Liver Transplantation Pan, Heng-Chih Jenq, Chang-Chyi Lee, Wei-Chen Tsai, Ming-Hung Fan, Pei-Chun Chang, Chih-Hsiang Chang, Ming-Yang Tian, Ya-Chung Hung, Cheng-Chieh Fang, Ji-Tseng Yang, Chih-Wei Chen, Yung-Chang PLoS One Research Article BACKGROUND: Liver transplantation can prolong survival in patients with end-stage liver disease. We have proposed that the Sequential Organ Failure Assessment (SOFA) score calculated on post-transplant day 7 has a great discriminative power for predicting 1-year mortality after liver transplantation. The Chronic Liver Failure - Sequential Organ Failure Assessment (CLIF-SOFA) score, a modified SOFA score, is a newly developed scoring system exclusively for patients with end-stage liver disease. This study was designed to compare the CLIF-SOFA score with other main scoring systems in outcome prediction for liver transplant patients. METHODS: We retrospectively reviewed medical records of 323 patients who had received liver transplants in a tertiary care university hospital from October 2002 to December 2010. Demographic parameters and clinical characteristic variables were recorded on the first day of admission before transplantation and on post-transplantation days 1, 3, 7, and 14. RESULTS: The overall 1-year survival rate was 78.3% (253/323). Liver diseases were mostly attributed to hepatitis B virus infection (34%). The CLIF-SOFA score had better discriminatory power than the Child-Pugh points, Model for End-Stage Liver Disease (MELD) score, RIFLE (risk of renal dysfunction, injury to the kidney, failure of the kidney, loss of kidney function, and end-stage kidney disease) criteria, and SOFA score. The AUROC curves were highest for CLIF-SOFA score on post-liver transplant day 7 for predicting 1-year mortality. The cumulative survival rates differed significantly for patients with a CLIF-SOFA score ≤8 and those with a CLIF-SOFA score >8 on post-liver transplant day 7. CONCLUSION: The CLIF-SOFA score can increase the prediction accuracy of prognosis after transplantation. Moreover, the CLIF-SOFA score on post-transplantation day 7 had the best discriminative power for predicting 1-year mortality after liver transplantation. Public Library of Science 2014-09-12 /pmc/articles/PMC4162558/ /pubmed/25216239 http://dx.doi.org/10.1371/journal.pone.0107138 Text en © 2014 Pan et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Pan, Heng-Chih Jenq, Chang-Chyi Lee, Wei-Chen Tsai, Ming-Hung Fan, Pei-Chun Chang, Chih-Hsiang Chang, Ming-Yang Tian, Ya-Chung Hung, Cheng-Chieh Fang, Ji-Tseng Yang, Chih-Wei Chen, Yung-Chang Scoring Systems for Predicting Mortality after Liver Transplantation |
title | Scoring Systems for Predicting Mortality after Liver Transplantation |
title_full | Scoring Systems for Predicting Mortality after Liver Transplantation |
title_fullStr | Scoring Systems for Predicting Mortality after Liver Transplantation |
title_full_unstemmed | Scoring Systems for Predicting Mortality after Liver Transplantation |
title_short | Scoring Systems for Predicting Mortality after Liver Transplantation |
title_sort | scoring systems for predicting mortality after liver transplantation |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4162558/ https://www.ncbi.nlm.nih.gov/pubmed/25216239 http://dx.doi.org/10.1371/journal.pone.0107138 |
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