Swiss HPB and Transplant Center, Department of Surgery and Transplantation, Switzerland.
Ann Surg. 2011 Nov;254(5):745-53; discussion 753. doi: 10.1097/SLA.0b013e3182365081.
To design a new score on risk assessment for orthotopic liver transplantation (OLT) based on both donor and recipient parameters.
The balance of waiting list mortality and posttransplant outcome remains a difficult task in the era of the model for end-stage liver disease (MELD).
Using the United Network for Organ Sharing database, a risk analysis was performed in adult recipients of OLT in the United States of America between 2002 and 2010 (n = 37,255). Living donor-, partial-, or combined-, and donation after cardiac death liver transplants were excluded. Next, a risk score was calculated (balance of risk score, BAR score) on the basis of logistic regression factors, and validated using our own OLT database (n = 233). Finally, the new score was compared with other prediction systems including donor risk index, survival outcome following liver transplantation, donor-age combined with MELD, and MELD score alone.
Six strongest predictors of posttransplant survival were identified: recipient MELD score, cold ischemia time, recipient age, donor age, previous OLT, and life support dependence prior to transplant. The new balance of risk score stratified recipients best in terms of patient survival in the United Network for Organ Sharing data, as in our European population.
The BAR system provides a new, simple and reliable tool to detect unfavorable combinations of donor and recipient factors, and is readily available before decision making of accepting or not an organ for a specific recipient. This score may offer great potential for better justice and utility, as it revealed to be superior to recent developed other prediction scores.
基于供体和受体参数,设计一种新的肝移植(OLT)风险评估评分。
在终末期肝病模型(MELD)时代,等待名单死亡率和移植后结果之间的平衡仍然是一项艰巨的任务。
利用美国器官共享联合网络数据库,对 2002 年至 2010 年间在美国接受 OLT 的成年受者(n=37255)进行风险分析。排除活体供体、部分或联合供肝以及心脏死亡后供肝移植。接下来,根据逻辑回归因素计算风险评分(风险评分平衡,BAR 评分),并使用我们自己的 OLT 数据库(n=233)进行验证。最后,将新评分与其他预测系统(包括供体风险指数、肝移植后生存结果、供体年龄与 MELD 联合评分以及 MELD 评分单独评分)进行比较。
确定了 6 个移植后生存的最强预测因素:受体 MELD 评分、冷缺血时间、受体年龄、供体年龄、先前的 OLT 和移植前的生命支持依赖。在 United Network for Organ Sharing 数据中,新的平衡风险评分在患者生存方面对受者进行了最佳分层,在我们的欧洲人群中也是如此。
BAR 系统提供了一种新的、简单可靠的工具,用于检测供体和受体因素的不利组合,并且在决定是否接受特定受者的器官之前即可使用。该评分可能具有更大的公平性和实用性潜力,因为它优于最近开发的其他预测评分。