Agence de la Biomédecine, Direction Prélèvement Greffe Organes-Tissus, Saint-Denis La Plaine, France.
Département d'Anesthésie-Réanimation II, Centre Hospitalier Universitaire de Bordeaux, Pessac, France.
Am J Transplant. 2019 May;19(5):1507-1517. doi: 10.1111/ajt.15201. Epub 2019 Jan 7.
The new French heart allocation system is designed to minimize waitlist mortality and extend the donor pool without a detrimental effect on posttransplant survival. This study was designed to construct a 1-year posttransplant graft-loss risk score incorporating recipient and donor characteristics. The study included all adult first single-organ recipients transplanted between 2010 and 2014 (N = 1776). This population was randomly divided in a 2:1 ratio into derivation and validation cohorts. The association of variables with 1-year graft loss was determined with a mixed Cox model with center as random effect. The predictors were used to generate a transplant-risk score (TRS). Donor-recipient matching was assessed using 2 separate recipient- and donor-risk scores. Factors associated with 1-year graft loss were recipient age >50 years, valvular cardiomyopathy and congenital heart disease, previous cardiac surgery, diabetes, mechanical ventilation, glomerular filtration rate and bilirubin, donor age >55 years, and donor sex: female. The C-index of the final model was 0.70. Correlation between observed and predicted graft loss rate was excellent for the overall cohort (r = 0.90). Hearts from high-risk donors transplanted to low-risk recipients had similar survival as those from low-risk donors. The TRS provides an accurate prediction of 1-year graft-loss risk and allows optimal donor-recipient matching.
新的法国心脏分配系统旨在最大限度地降低候补者死亡率并扩大供体库,同时不会对移植后存活率造成不利影响。本研究旨在构建一个包含受者和供者特征的移植后 1 年移植物丢失风险评分。研究纳入了 2010 年至 2014 年间所有接受首次单器官移植的成年受者(N=1776)。该人群被随机分为 2:1 的比例分为推导和验证队列。采用混合 Cox 模型,以中心为随机效应,确定变量与 1 年移植物丢失的相关性。使用移植风险评分(TRS)生成预测因子。通过使用 2 个独立的受者和供者风险评分来评估供者-受者匹配。与 1 年移植物丢失相关的因素包括受者年龄>50 岁、瓣膜性心肌病和先天性心脏病、既往心脏手术、糖尿病、机械通气、肾小球滤过率和胆红素、供者年龄>55 岁以及供者性别:女性。最终模型的 C 指数为 0.70。整个队列的观察与预测移植物丢失率之间的相关性极好(r=0.90)。高风险供体移植到低风险受者的心脏与低风险供体移植的心脏具有相似的存活率。TRS 可准确预测 1 年移植物丢失风险,并实现最佳供者-受者匹配。