Cantrelle Christelle, Legeai Camille, Latouche Aurélien, Tuppin Philippe, Jasseron Carine, Sebbag Laurent, Bastien Olivier, Dorent Richard
Agence de la Biomédecine, Saint Denis, France.
Conservatoire National des Arts et Métiers, Paris, France.
Transplant Direct. 2017 Jul 18;3(8):e198. doi: 10.1097/TXD.0000000000000711. eCollection 2017 Aug.
Heart allocation systems are usually urgency-based, offering grafts to candidates at high risk of waitlist mortality. In the context of a revision of the heart allocation rules, we determined observed predictors of 1-year waitlist mortality in France, considering the competing risk of transplantation, to determine which candidate subgroups are favored or disadvantaged by the current allocation system.
Patients registered on the French heart waitlist between 2010 and 2013 were included. Cox cause-specific hazards and Fine and Gray subdistribution hazards were used to determine candidate characteristics associated with waitlist mortality and access to transplantation.
Of the 2053 candidates, 7 variables were associated with 1-year waitlist mortality by the Fine and Gray method including 4 candidate characteristics related to heart failure severity (hospitalization at listing, serum natriuretic peptide level, systolic pulmonary artery pressure, and glomerular filtration rate) and 3 characteristics not associated with heart failure severity but with lower access to transplantation (blood type, age, and body mass index). Observed waitlist mortality for candidates on mechanical circulatory support was like that of others.
The heart allocation system strongly modifies the risk of pretransplant mortality related to heart failure severity. An in-depth competing risk analysis is therefore a more appropriate method to evaluate graft allocation systems. This knowledge should help to prioritize candidates in the context of a limited donor pool.
心脏分配系统通常基于紧迫性,将移植物提供给等待名单上死亡风险高的候选人。在修订心脏分配规则的背景下,我们确定了法国等待名单上1年死亡率的观察预测因素,考虑到移植的竞争风险,以确定当前分配系统对哪些候选亚组有利或不利。
纳入2010年至2013年在法国心脏等待名单上登记的患者。使用Cox特定病因风险模型和Fine and Gray亚分布风险模型来确定与等待名单死亡率和移植机会相关的候选者特征。
在2053名候选人中,根据Fine and Gray方法,有7个变量与1年等待名单死亡率相关,其中包括4个与心力衰竭严重程度相关的候选者特征(登记时住院、血清利钠肽水平、收缩期肺动脉压和肾小球滤过率)以及3个与心力衰竭严重程度无关但移植机会较低的特征(血型、年龄和体重指数)。接受机械循环支持的候选人的观察到的等待名单死亡率与其他人相似。
心脏分配系统强烈改变了与心力衰竭严重程度相关的移植前死亡风险。因此,深入的竞争风险分析是评估移植物分配系统的更合适方法。这些知识应有助于在供体库有限的情况下对候选人进行优先排序。