Dumont-UCLA Transplant and Liver Cancer Centers, Pfleger Liver Institute, Department of Surgery, David Geffen School of Medicine at University of California, Los Angeles, CA 90095, USA.
Ann Surg. 2011 Sep;254(3):444-8; discussion 448-9. doi: 10.1097/SLA.0b013e31822c5878.
To develop a prognostic scoring system for risk stratification of patients with hepatic graft failure (GF) undergoing retransplants of the liver (ReLT) and improve patient selection.
Retransplantation of the liver remains controversial because of inferior outcomes compared with the primary orthotopic liver transplantation (OLT) and raises concerns of inappropriate utilization of a scarce donor organ resource. Data on risk stratification of ReLT patients for long-term survival outcomes are limited.
We conducted an analysis from our prospective database of 466 adults' ReLT between February 1984 and September 2010. Mean follow-up was 3 years. Each independent predictor for allograft failure was assigned risk score (RS) points of 1 or 2, proportional to the corresponding parameter estimate under the Cox model: Predictive index category (PIC) 1, RS = 0; PIC II, RS = 1 to 2; PIC III, RS = 3 to 4; and PIC IV, RS = 5 to 12.
Eight risk factors predictive for GF after ReLT included recipient age greater than 55 years, Model for End-Stage Liver Disease score greater than 27, history of prior OLT greater than 1, pre-ReLT requirement for mechanical ventilation, serum albumin less than 2.5 g/dL, donor age greater than 45 years, intraoperative requirement of packed red blood cell transfusion greater than 30 units, and performance of ReLT between 15 and 180 days from the prior OLT. Five-year GF-free survival was significantly higher in PIC I (65%) than in PIC II (53%), PIC III (43%), and PIC IV (20%) groups (P < 0.001).
This risk-stratification model was highly predictive of long-term outcome after liver retransplantation in adult recipients. This formula provides a practical guide for selection of candidates for retransplantation of the liver that can lead to improved patient outcomes and optimal utilization of a scarce resource.
开发一种用于预测肝移植失败(GF)患者再次肝移植(ReLT)风险分层的预后评分系统,并改善患者选择。
与原发性原位肝移植(OLT)相比,肝移植的再次移植仍然存在争议,因为其结果较差,并且引起了对稀缺供体器官资源的不当利用的担忧。关于 ReLT 患者长期生存结果的风险分层数据有限。
我们对 1984 年 2 月至 2010 年 9 月期间前瞻性数据库中的 466 名成人 ReLT 进行了分析。平均随访 3 年。每个同种异体移植失败的独立预测因子都被分配了风险评分(RS)点 1 或 2,与 Cox 模型下相应参数的估计值成比例:预测指数类别(PIC)1,RS = 0;PIC II,RS = 1 至 2;PIC III,RS = 3 至 4;PIC IV,RS = 5 至 12。
预测 ReLT 后 GF 的 8 个危险因素包括受体年龄大于 55 岁、终末期肝病模型评分大于 27、OLT 史大于 1、再移植前需要机械通气、血清白蛋白小于 2.5 g/dL、供体年龄大于 45 岁、术中需要输注浓缩红细胞大于 30 单位,以及OLT 后 15 至 180 天之间进行 ReLT。PIC I(65%)组的 5 年 GF 无失败生存率明显高于 PIC II(53%)、PIC III(43%)和 PIC IV(20%)组(P < 0.001)。
该风险分层模型对成人受体肝移植后长期结果具有高度预测性。该公式为肝移植的再选择提供了实用指南,可改善患者预后并优化稀缺资源的利用。