Division of Gastroenterology and Hepatology, Stanford University School of Medicine, Stanford, California.
Division of Gastroenterology and Hepatology, Stanford University School of Medicine, Stanford, California.
Gastroenterology. 2021 Dec;161(6):1887-1895.e4. doi: 10.1053/j.gastro.2021.08.050. Epub 2021 Sep 3.
BACKGROUND & AIMS: The Model for End-Stage Liver Disease (MELD) has been established as a reliable indicator of short-term survival in patients with end-stage liver disease. The current version (MELDNa), consisting of the international normalized ratio and serum bilirubin, creatinine, and sodium, has been used to determine organ allocation priorities for liver transplantation in the United States. The objective was to optimize MELD further by taking into account additional variables and updating coefficients with contemporary data.
All candidates registered on the liver transplant wait list in the US national registry from January 2016 through December 2018 were included. Uni- and multivariable Cox models were developed to predict survival up to 90 days after wait list registration. Model fit was tested using the concordance statistic (C-statistic) and reclassification, and the Liver Simulated Allocation Model was used to estimate the impact of replacing MELDNa with the new model.
The final multivariable model was characterized by (1) additional variables of female sex and serum albumin, (2) interactions between bilirubin and sodium and between albumin and creatinine, and (3) an upper bound for creatinine at 3.0 mg/dL. The final model (MELD 3.0) had better discrimination than MELDNa (C-statistic, 0.869 vs 0.862; P < .01). Importantly, MELD 3.0 correctly reclassified a net of 8.8% of decedents to a higher MELD tier, affording them a meaningfully higher chance of transplantation, particularly in women. In the Liver Simulated Allocation Model analysis, MELD 3.0 resulted in fewer wait list deaths compared to MELDNa (7788 vs 7850; P = .02).
MELD 3.0 affords more accurate mortality prediction in general than MELDNa and addresses determinants of wait list outcomes, including the sex disparity.
终末期肝病模型(MELD)已被确立为预测终末期肝病患者短期生存率的可靠指标。目前使用的版本(MELDNa)由国际标准化比值、血清胆红素、肌酐和钠组成,用于确定美国肝移植的器官分配优先级。本研究的目的是通过纳入更多变量并使用当代数据更新系数,进一步优化 MELD。
纳入美国国家登记处 2016 年 1 月至 2018 年 12 月期间登记在肝移植等待名单上的所有候选者。采用单变量和多变量 Cox 模型预测等待名单登记后 90 天内的生存率。采用一致性统计量(C 统计量)和重新分类来测试模型拟合度,并使用 LiverSimulatedAllocationModel 估计用新模型替代 MELDNa 的影响。
最终的多变量模型具有以下特点:(1)纳入女性和血清白蛋白等额外变量;(2)胆红素与钠、白蛋白与肌酐之间存在交互作用;(3)肌酐上限为 3.0mg/dL。最终模型(MELD3.0)的区分度优于 MELDNa(C 统计量分别为 0.869 和 0.862;P<0.01)。重要的是,MELD3.0正确地重新分类了 8.8%的死亡患者,使其处于更高的 MELD 等级,从而大大提高了他们接受移植的机会,尤其是女性患者。在 LiverSimulatedAllocationModel 分析中,与 MELDNa 相比,MELD3.0导致等待名单上的死亡人数减少(7788 例与 7850 例;P=0.02)。
与 MELDNa 相比,MELD3.0总体上提供了更准确的死亡率预测,并解决了等待名单结果的决定因素,包括性别差异。