Wood Nicholas L, VanDerwerken Douglas, Segev Dorry L, Gentry Sommer E
Department of Mathematics, United States Naval Academy, Annapolis, Maryland, USA.
Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Am J Transplant. 2021 Oct;21(10):3296-3304. doi: 10.1111/ajt.16731. Epub 2021 Jul 12.
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.
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。