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纠正终末期肝病模型-血清钠(MELD-Na)中的性别差异。

Correcting the sex disparity in MELD-Na.

作者信息

Wood Nicholas L, VanDerwerken Douglas, Segev Dorry L, Gentry Sommer E

机构信息

Department of Mathematics, United States Naval Academy, Annapolis, Maryland, USA.

Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

出版信息

Am J Transplant. 2021 Oct;21(10):3296-3304. doi: 10.1111/ajt.16731. Epub 2021 Jul 12.

DOI:10.1111/ajt.16731
PMID:34174151
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8500920/
Abstract

MELD-Na appears to disadvantage women awaiting liver transplant by underestimating their mortality rate. Fixing this problem involves: (1) estimating the magnitude of this disadvantage separately for each MELD-Na, (2) designing a correction for each MELD-Na, and (3) evaluating corrections to MELD-Na using simulated allocation. Using Kaplan-Meier modeling, we calculated 90-day without-transplant survival for men and women, separately at each MELD-Na. For most scores between 15 and 35, without-transplant survival was higher for men by 0-5 percentage points. We tested two proposed corrections to MELD-Na (MELD-Na-MDRD and MELD-GRAIL-Na), and one correction we developed (MELD-Na-Shift) to target the differences we quantified in survival across the MELD-Na spectrum. In terms of without-transplant survival, MELD-Na-MDRD overcorrected sex differences while MELD-GRAIL-Na and MELD-Na-Shift eliminated them. Estimating the impact of implementing these corrections with the liver simulated allocation model, we found that MELD-Na-Shift alone eliminated sex disparity in transplant rates (p = 0.4044) and mortality rates (p = 0.7070); transplant rates and mortality rates were overcorrected by MELD-Na-MDRD (p = 0.0025, p = 0.0006) and MELD-GRAIL-Na (p = 0.0079, p = 0.0005). We designed a corrected MELD-Na that eliminates sex disparities in without-transplant survival, but allocation changes directing smaller livers to shorter candidates may also be needed to equalize women's access to liver transplant.

摘要

终末期肝病模型-钠评分(MELD-Na)似乎因低估等待肝移植女性的死亡率而对她们不利。解决这个问题需要:(1)针对每个MELD-Na分别估计这种不利影响的程度,(2)为每个MELD-Na设计一种校正方法,(3)使用模拟分配评估对MELD-Na的校正。我们采用Kaplan-Meier模型,分别计算了每个MELD-Na水平下男性和女性90天未移植生存率。对于大多数15至35分之间的评分,男性的未移植生存率高出0至5个百分点。我们测试了两种针对MELD-Na的校正方法(MELD-Na-MDRD和MELD-GRAIL-Na),以及我们开发的一种校正方法(MELD-Na-Shift),以针对我们在MELD-Na范围内量化的生存差异。在未移植生存率方面,MELD-Na-MDRD对性别差异校正过度,而MELD-GRAIL-Na和MELD-Na-Shift消除了这些差异。通过肝脏模拟分配模型估计实施这些校正的影响,我们发现单独使用MELD-Na-Shift消除了移植率(p = 0.4044)和死亡率(p = 0.7070)方面的性别差异;MELD-Na-MDRD(p = 0.0025,p = 0.0006)和MELD-GRAIL-Na(p = 0.0079,p = 0.0005)对移植率和死亡率校正过度。我们设计了一种校正后的MELD-Na,消除了未移植生存率方面的性别差异,但可能还需要改变分配方式,将较小的肝脏分配给等待时间较短的候选人,以平衡女性获得肝移植的机会。

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本文引用的文献

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OPTN/SRTR 2019 Annual Data Report: Liver.OPTN/SRTR 2019 年度数据报告:肝脏。
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JAMA Surg. 2024 Nov 1;159(11):1291-1298. doi: 10.1001/jamasurg.2024.3498.
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Revising the MELD Score to Address Sex-Bias in Liver Transplant Prioritization for a German Cohort.修订终末期肝病模型(MELD)评分以解决德国队列肝移植优先排序中的性别偏见问题。
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Equity in liver transplantation: are we any closer?肝移植中的公平性:我们更接近目标了吗?
Curr Opin Organ Transplant. 2023 Aug 1;28(4):259-264. doi: 10.1097/MOT.0000000000001085. Epub 2023 Jun 19.
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Women with cirrhosis have lower self-rated health than men.肝硬化女性的自我健康评估低于男性。
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MELD-GRAIL and MELD-GRAIL-Na Are Not Superior to MELD or MELD-Na in Predicting Liver Transplant Waiting List Mortality at a Single-center Level.在单中心层面,MELD-GRAIL和MELD-GRAIL-Na在预测肝移植等待名单死亡率方面并不优于MELD或MELD-Na。
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Leveraging Frailty to Mitigate Sex-Based Disparities in Access to Liver Transplant: Justice in Allocation.利用衰弱来减轻肝移植获取方面基于性别的差异:分配中的公平性。
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Quantifying Sex-Based Disparities in Liver Allocation.量化肝移植分配中的性别差异。
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Hepatology. 2020 May;71(5):1766-1774. doi: 10.1002/hep.30932. Epub 2020 Jan 29.
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A Model for Glomerular Filtration Rate Assessment in Liver Disease (GRAIL) in the Presence of Renal Dysfunction.存在肾功能障碍时肝病肾小球滤过率评估模型(GRAIL)
Hepatology. 2019 Mar;69(3):1219-1230. doi: 10.1002/hep.30321. Epub 2019 Feb 20.
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Reduced Access to Liver Transplantation in Women: Role of Height, MELD Exception Scores, and Renal Function Underestimation.女性接受肝移植的机会减少:身高、MELD 例外评分和肾功能低估的作用。
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