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成人肝移植候选者中终末期肝病评分异常的非标准化模型与等待名单死亡率的关联。

Association of nonstandardized model for end-stage liver disease score exceptions with waitlist mortality in adult liver transplant candidates.

作者信息

Ahn Daniel J, Kwong Allison J, Wall Anji E, Parker William F

机构信息

Department of Surgery, Stanford University School of Medicine, Stanford, CA.

Department of Medicine, Stanford University School of Medicine, Stanford, CA.

出版信息

Am J Transplant. 2025 Feb;25(2):385-395. doi: 10.1016/j.ajt.2024.09.028. Epub 2024 Sep 26.

DOI:10.1016/j.ajt.2024.09.028
PMID:39341343
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11772122/
Abstract

In the US liver allocation system, nonstandardized model for end-stage liver disease (MELD) exceptions (NSEs) increase the waitlist priority of candidates whose MELD scores are felt to underestimate their true medical urgency. We determined whether NSEs accurately depict pretransplant mortality risk by performing mixed-effects Cox proportional hazards models and estimating concordance indices. We also studied the change in frequency of NSEs after the National Liver Review Board's implementation in May 2019. Between June 2016 and April 2022, 60,322 adult candidates were listed, of whom 10,280 (17.0%) received an NSE at least once. The mean allocation MELD was 23.9, an increase of 12.0 points from the mean laboratory MELD of 11.9 (P < .001). A 1-point increase in allocation MELD score due to an NSE was associated with, on average, a 2% reduction in hazard of pretransplant death (cause-specific hazard ratio: 0.98; 95% CI: 0.96, 1.00; P = .02) compared with those with the same laboratory MELD. Laboratory MELD was more accurate than allocation MELD with NSEs in rank-ordering candidates (c-index: 0.889 vs 0.857). The proportion of candidates with NSEs decreased significantly after the National Liver Review Board from 21.5% to 12.8% (P < .001). NSEs substantially increase the waitlist priority of candidates with objectively low medical urgency.

摘要

在美国肝脏分配系统中,终末期肝病模型(MELD)非标准化例外情况(NSEs)提高了那些MELD评分被认为低估其真正医疗紧迫性的候选人在等待名单上的优先级。我们通过进行混合效应Cox比例风险模型并估计一致性指数,来确定NSEs是否准确描述了移植前死亡风险。我们还研究了2019年5月国家肝脏审查委员会实施后NSEs频率的变化。2016年6月至2022年4月期间,有60322名成年候选人被列入等待名单,其中10280人(17.0%)至少一次获得NSE。分配的MELD平均值为23.�,比实验室MELD平均值11.9增加了12.0分(P < .001)。与具有相同实验室MELD的人相比,由于NSE导致的分配MELD评分增加1分,平均与移植前死亡风险降低2%相关(特定原因风险比:0.98;95%置信区间:0.96,1.00;P = .02)。在对候选人进行排序时,实验室MELD比带有NSEs的分配MELD更准确(一致性指数:0.889对0.857)。国家肝脏审查委员会实施后,获得NSEs的候选人比例从21.5%显著下降至12.8%(P < .001)。NSEs大幅提高了客观上医疗紧迫性较低的候选人在等待名单上的优先级。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7ca/11772122/bab9c3a5c611/nihms-2025986-f0006.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7ca/11772122/bab9c3a5c611/nihms-2025986-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7ca/11772122/0940a50f42a5/nihms-2025986-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7ca/11772122/d459b6896fe7/nihms-2025986-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7ca/11772122/0981c4b4663f/nihms-2025986-f0003.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7ca/11772122/bab9c3a5c611/nihms-2025986-f0006.jpg

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