KMID : 0371420211010060360
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Annals of Surgical Treatment and Research 2021 Volume.101 No. 6 p.360 ~ p.367
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The impact of Model for End-Stage Liver Disease score on deceased donor liver transplant outcomes in low volume liver transplantation center: a retrospective and single-center study
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Lee Doo-Ho
Park Yeon-Ho Choi Seok-Won Nam Kug-Hyun Choi Sang-Tae Kim Doo-Jin
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Abstract
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Purpose: In June 2016, the Model for End-Stage Liver Disease (MELD) score was employed in South Korea instead of the Child-Turcotte-Pugh (CTP) score. This study compared the outcomes of deceased donor liver transplantation (DDLT) before and after the MELD system application.
Methods: This retrospective study reviewed 48 patients who underwent DDLT for end-stage liver disease at a single tertiary referral center between January 2014 and December 2018. The patients were categorized into the pre-MELD (22 patients) and post-MELD (26 patients) groups. The demographics, postoperative outcomes, and overall survival time were evaluated between the 2 groups.
Results: The 2 groups had no differences in age, sex, ABO type, etiology for liver transplantation, CTP-score, operation time, cold ischemic time, and amount of red blood cell transfusion, although their MELD score differed significantly (post-MELD group, 36.2 ¡¾ 4.9; pre-MELD group, 27.7 ¡¾ 11.8; P < 0.001). The post-MELD group has longer intensive care unit stay (11.2 ¡¾ 9.5 days vs. 5.7 ¡¾ 4.5 days, P = 0.018) and hospital stay than the pre-MELD group (36.8 ¡¾ 26 days vs. 22.8 ¡¾ 9.3 days, P = 0.016). The 1-year survival rate was lower in the post-MELD group (61.5% vs. 86.4%, P = 0.029).
Conclusion: After MELD allocation, patients with high MELD scores had increased DDLT and consequently required a longer recovery time, which could negatively affect survival. According to the experience of a small-volume center, these problems were related to both severe organ shortages in South Korea and MELD allocation.
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KEYWORD
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Alcoholic fatty liver, Liver cirrhosis, Liver transplantation, Model for End-Stage Liver Disease, Morbidity
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