Cargando…
The Model for End-Stage Liver Disease Score-Based System Predicts Short Term Mortality Better Than the Current Child-Turcotte-Pugh Score-Based Allocation System during Waiting for Deceased Liver Transplantation
To adopt the model for end-stage liver disease (MELD) score-based system in Korea, the feasibility should be evaluated by analysis of Korean database. The aim of this study was to investigate the feasibility of the MELD score-based system compared with the current Child-Turcotte-Pugh (CTP) based-sys...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Korean Academy of Medical Sciences
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3744710/ https://www.ncbi.nlm.nih.gov/pubmed/23960449 http://dx.doi.org/10.3346/jkms.2013.28.8.1207 |
_version_ | 1782280632842321920 |
---|---|
author | Hong, Geun Lee, Kwang-Woong Suh, Sukwon Yoo, Tae Kim, Hyeyoung Park, Min-Su Choi, Youngrok Yi, Nam-Joon Suh, Kyung-Suk |
author_facet | Hong, Geun Lee, Kwang-Woong Suh, Sukwon Yoo, Tae Kim, Hyeyoung Park, Min-Su Choi, Youngrok Yi, Nam-Joon Suh, Kyung-Suk |
author_sort | Hong, Geun |
collection | PubMed |
description | To adopt the model for end-stage liver disease (MELD) score-based system in Korea, the feasibility should be evaluated by analysis of Korean database. The aim of this study was to investigate the feasibility of the MELD score-based system compared with the current Child-Turcotte-Pugh (CTP) based-system and to suggest adequate cut-off to stratify waiting list mortality among Korean population. We included 788 adult patients listed in waiting list in Seoul National University Hospital from January 2008 to May 2011. The short-term survival until 6 months after registration was evaluated. Two hundred forty six (31.2%) patients underwent live donor liver transplantation and 353 (44.8%) patients were still waiting and 121 (15.4%) patients were dropped out due to death. Significant difference was observed when MELD score 24 and 31 were used as cut-off. Three-months survival of Status 2A was 70.2%. However, in Status 2A patients whose MELD score less than 24 (n=82), 86.6% of patients survived until 6 month. Furthermore, patients with high MELD score (≥31) among Status 2B group showed poorer survival rate (45.8%, 3-month) than Status 2A group. In conclusion, MELD score-based system can predict short term mortality better and select more number of high risk patients in Korean population. |
format | Online Article Text |
id | pubmed-3744710 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | The Korean Academy of Medical Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-37447102013-08-19 The Model for End-Stage Liver Disease Score-Based System Predicts Short Term Mortality Better Than the Current Child-Turcotte-Pugh Score-Based Allocation System during Waiting for Deceased Liver Transplantation Hong, Geun Lee, Kwang-Woong Suh, Sukwon Yoo, Tae Kim, Hyeyoung Park, Min-Su Choi, Youngrok Yi, Nam-Joon Suh, Kyung-Suk J Korean Med Sci Original Article To adopt the model for end-stage liver disease (MELD) score-based system in Korea, the feasibility should be evaluated by analysis of Korean database. The aim of this study was to investigate the feasibility of the MELD score-based system compared with the current Child-Turcotte-Pugh (CTP) based-system and to suggest adequate cut-off to stratify waiting list mortality among Korean population. We included 788 adult patients listed in waiting list in Seoul National University Hospital from January 2008 to May 2011. The short-term survival until 6 months after registration was evaluated. Two hundred forty six (31.2%) patients underwent live donor liver transplantation and 353 (44.8%) patients were still waiting and 121 (15.4%) patients were dropped out due to death. Significant difference was observed when MELD score 24 and 31 were used as cut-off. Three-months survival of Status 2A was 70.2%. However, in Status 2A patients whose MELD score less than 24 (n=82), 86.6% of patients survived until 6 month. Furthermore, patients with high MELD score (≥31) among Status 2B group showed poorer survival rate (45.8%, 3-month) than Status 2A group. In conclusion, MELD score-based system can predict short term mortality better and select more number of high risk patients in Korean population. The Korean Academy of Medical Sciences 2013-08 2013-07-31 /pmc/articles/PMC3744710/ /pubmed/23960449 http://dx.doi.org/10.3346/jkms.2013.28.8.1207 Text en © 2013 The Korean Academy of Medical Sciences. http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Hong, Geun Lee, Kwang-Woong Suh, Sukwon Yoo, Tae Kim, Hyeyoung Park, Min-Su Choi, Youngrok Yi, Nam-Joon Suh, Kyung-Suk The Model for End-Stage Liver Disease Score-Based System Predicts Short Term Mortality Better Than the Current Child-Turcotte-Pugh Score-Based Allocation System during Waiting for Deceased Liver Transplantation |
title | The Model for End-Stage Liver Disease Score-Based System Predicts Short Term Mortality Better Than the Current Child-Turcotte-Pugh Score-Based Allocation System during Waiting for Deceased Liver Transplantation |
title_full | The Model for End-Stage Liver Disease Score-Based System Predicts Short Term Mortality Better Than the Current Child-Turcotte-Pugh Score-Based Allocation System during Waiting for Deceased Liver Transplantation |
title_fullStr | The Model for End-Stage Liver Disease Score-Based System Predicts Short Term Mortality Better Than the Current Child-Turcotte-Pugh Score-Based Allocation System during Waiting for Deceased Liver Transplantation |
title_full_unstemmed | The Model for End-Stage Liver Disease Score-Based System Predicts Short Term Mortality Better Than the Current Child-Turcotte-Pugh Score-Based Allocation System during Waiting for Deceased Liver Transplantation |
title_short | The Model for End-Stage Liver Disease Score-Based System Predicts Short Term Mortality Better Than the Current Child-Turcotte-Pugh Score-Based Allocation System during Waiting for Deceased Liver Transplantation |
title_sort | model for end-stage liver disease score-based system predicts short term mortality better than the current child-turcotte-pugh score-based allocation system during waiting for deceased liver transplantation |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3744710/ https://www.ncbi.nlm.nih.gov/pubmed/23960449 http://dx.doi.org/10.3346/jkms.2013.28.8.1207 |
work_keys_str_mv | AT honggeun themodelforendstageliverdiseasescorebasedsystempredictsshorttermmortalitybetterthanthecurrentchildturcottepughscorebasedallocationsystemduringwaitingfordeceasedlivertransplantation AT leekwangwoong themodelforendstageliverdiseasescorebasedsystempredictsshorttermmortalitybetterthanthecurrentchildturcottepughscorebasedallocationsystemduringwaitingfordeceasedlivertransplantation AT suhsukwon themodelforendstageliverdiseasescorebasedsystempredictsshorttermmortalitybetterthanthecurrentchildturcottepughscorebasedallocationsystemduringwaitingfordeceasedlivertransplantation AT yootae themodelforendstageliverdiseasescorebasedsystempredictsshorttermmortalitybetterthanthecurrentchildturcottepughscorebasedallocationsystemduringwaitingfordeceasedlivertransplantation AT kimhyeyoung themodelforendstageliverdiseasescorebasedsystempredictsshorttermmortalitybetterthanthecurrentchildturcottepughscorebasedallocationsystemduringwaitingfordeceasedlivertransplantation AT parkminsu themodelforendstageliverdiseasescorebasedsystempredictsshorttermmortalitybetterthanthecurrentchildturcottepughscorebasedallocationsystemduringwaitingfordeceasedlivertransplantation AT choiyoungrok themodelforendstageliverdiseasescorebasedsystempredictsshorttermmortalitybetterthanthecurrentchildturcottepughscorebasedallocationsystemduringwaitingfordeceasedlivertransplantation AT yinamjoon themodelforendstageliverdiseasescorebasedsystempredictsshorttermmortalitybetterthanthecurrentchildturcottepughscorebasedallocationsystemduringwaitingfordeceasedlivertransplantation AT suhkyungsuk themodelforendstageliverdiseasescorebasedsystempredictsshorttermmortalitybetterthanthecurrentchildturcottepughscorebasedallocationsystemduringwaitingfordeceasedlivertransplantation AT honggeun modelforendstageliverdiseasescorebasedsystempredictsshorttermmortalitybetterthanthecurrentchildturcottepughscorebasedallocationsystemduringwaitingfordeceasedlivertransplantation AT leekwangwoong modelforendstageliverdiseasescorebasedsystempredictsshorttermmortalitybetterthanthecurrentchildturcottepughscorebasedallocationsystemduringwaitingfordeceasedlivertransplantation AT suhsukwon modelforendstageliverdiseasescorebasedsystempredictsshorttermmortalitybetterthanthecurrentchildturcottepughscorebasedallocationsystemduringwaitingfordeceasedlivertransplantation AT yootae modelforendstageliverdiseasescorebasedsystempredictsshorttermmortalitybetterthanthecurrentchildturcottepughscorebasedallocationsystemduringwaitingfordeceasedlivertransplantation AT kimhyeyoung modelforendstageliverdiseasescorebasedsystempredictsshorttermmortalitybetterthanthecurrentchildturcottepughscorebasedallocationsystemduringwaitingfordeceasedlivertransplantation AT parkminsu modelforendstageliverdiseasescorebasedsystempredictsshorttermmortalitybetterthanthecurrentchildturcottepughscorebasedallocationsystemduringwaitingfordeceasedlivertransplantation AT choiyoungrok modelforendstageliverdiseasescorebasedsystempredictsshorttermmortalitybetterthanthecurrentchildturcottepughscorebasedallocationsystemduringwaitingfordeceasedlivertransplantation AT yinamjoon modelforendstageliverdiseasescorebasedsystempredictsshorttermmortalitybetterthanthecurrentchildturcottepughscorebasedallocationsystemduringwaitingfordeceasedlivertransplantation AT suhkyungsuk modelforendstageliverdiseasescorebasedsystempredictsshorttermmortalitybetterthanthecurrentchildturcottepughscorebasedallocationsystemduringwaitingfordeceasedlivertransplantation |