Division of Transplantation, Department of Surgery, University of Alabama at Birmingham School of Medicine, Birmingham.
Division of Transplant Surgery, Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
JAMA Surg. 2020 Jul 1;155(7):e201129. doi: 10.1001/jamasurg.2020.1129. Epub 2020 Jul 15.
Differences in local organ supply and demand have introduced geographic inequities in the Model for End-stage Liver Disease (MELD) score-based liver allocation system, prompting national debate and patient-initiated lawsuits. No study to our knowledge has quantified the sex disparities in allocation associated with clinical vs geographic characteristics.
To estimate the proportion of sex disparity in wait list mortality and deceased donor liver transplant (DDLT) associated with clinical and geographic characteristics.
DESIGN, SETTING, AND PARTICIPANTS: This retrospective cohort study used adult (age ≥18 years) liver-only transplant listings reported to the Organ Procurement and Transplantation Network from June 18, 2013, through March 1, 2018.
Liver transplant waiting list.
Primary outcomes included wait list mortality and DDLT. Multivariate Cox proportional hazards regression models were constructed, and inverse odds ratio weighting was used to estimate the proportion of disparity across geographic location, MELD score, and candidate anthropometric and liver measurements.
Among 81 357 adults wait-listed for liver transplant only, 36.1% were women (mean [SD] age, 54.7 [11.3] years; interquartile range, 49.0-63.0 years) and 63.9% were men (mean [SD] age, 55.7 [10.1] years; interquartile range, 51.0-63.0 years). Compared with men, women were 8.6% more likely to die while on the waiting list (adjusted hazard ratio [aHR], 1.11; 95% CI, 1.04-1.18) and were 14.4% less likely to receive a DDLT (aHR, 0.86; 95% CI, 0.84-0.88). In the geographic domain, organ procurement organization was the only variable that was significantly associated with increased disparity between female sex and wait list mortality (22.1% increase; aHR, 1.22; 95% CI, 1.09-1.30); no measure of the geographic domain was associated with DDLT. Laboratory and allocation MELD scores were associated with increases in disparities in wait list mortality: 1.14 (95% CI, 1.09-1.19; 50.1% increase among women) and DDLT: 0.87 (95% CI, 0.86-0.88; 10.3% increase among women). Candidate anthropometric and liver measurements had the strongest association with disparities between men and women in wait list mortality (125.8% increase among women) and DDLT (49.0% increase among women).
Our findings suggest that addressing geographic disparities alone may not mitigate sex-based disparities, which were associated with the inability of the MELD score to accurately estimate disease severity in women and to account for candidate anthropometric and liver measurements in this study.
模型终末期肝病(MELD)评分肝分配系统中,局部器官供需之间的差异导致了地域不平等,引发了全国性的辩论和患者发起的诉讼。据我们所知,没有研究量化与临床和地理特征相关的分配中性别差异。
估计与临床和地理特征相关的等待名单死亡率和已故供体肝移植(DDLT)中性别差异的比例。
设计、设置和参与者:这项回顾性队列研究使用了 2013 年 6 月 18 日至 2018 年 3 月 1 日期间向器官获取和移植网络报告的成人(年龄≥18 岁)仅肝移植名单。
肝移植等待名单。
主要结果包括等待名单死亡率和 DDLT。构建了多变量 Cox 比例风险回归模型,并使用逆几率比加权来估计地理位置、MELD 评分以及候选人体测量和肝脏测量的差异比例。
在 81357 名仅接受肝移植的成年人中,36.1%为女性(平均[SD]年龄,54.7[11.3]岁;四分位间距,49.0-63.0 岁),63.9%为男性(平均[SD]年龄,55.7[10.1]岁;四分位间距,51.0-63.0 岁)。与男性相比,女性在等待名单上死亡的可能性高 8.6%(调整后的危险比[aHR],1.11;95%CI,1.04-1.18),获得 DDLT 的可能性低 14.4%(aHR,0.86;95%CI,0.84-0.88)。在地理区域,器官采购组织是唯一与女性性别和等待名单死亡率之间的差异增加显著相关的变量(增加 22.1%;aHR,1.22;95%CI,1.09-1.30);没有任何地理区域的指标与 DDLT 相关。实验室和分配 MELD 评分与等待名单死亡率的差异增加有关:1.14(95%CI,1.09-1.19;女性增加 50.1%)和 DDLT:0.87(95%CI,0.86-0.88;女性增加 10.3%)。候选人体测量和肝脏测量与男女之间等待名单死亡率(女性增加 125.8%)和 DDLT(女性增加 49.0%)的差异关系最密切。
我们的研究结果表明,仅解决地理差异可能无法缓解基于性别的差异,这些差异与 MELD 评分无法准确估计女性疾病严重程度以及无法考虑候选人体测量和肝脏测量有关。