University of Texas Health Science Center, San Antonio, USA.
Am J Transplant. 2010 Jul;10(7):1643-8. doi: 10.1111/j.1600-6143.2010.03127.x. Epub 2010 May 10.
Patients with hepatocellular carcinoma (HCC) within Milan criteria receive priority on the liver transplant waiting list (WL) and compete with non-HCC patients. Dropout from the WL is an indirect measure of transplant access. Competing risks (CR) evaluation of dropout for HCC and non-HCC patients has not previously been reported. Patients listed between 16 March 2005 and 30 June 2008 were included. Probability of dropout was estimated using a CR technique as well as a Cox model for time to dropout. Overall, non-HCC patients had a higher dropout rate from the WL than HCC patients (p < 0.0001). This was reproducible throughout all regions. In Cox regression, tumor size, model for end-stage liver disease (MELD) score and alpha fetoprotein (AFP) were associated with increased dropout risk. Multivariable analysis with CR showed that MELD score and AFP, were most influential in predicting dropout for HCC patients. The index of concordance for predicting dropout with the CR was 0.70. HCC patients appear to be advantaged in the current allocation scheme based on lower dropout rates without regard to geography. A continuous score incorporating MELD, AFP and tumor size may help to prioritize HCC patients to better equate dropout rates with non-HCC patients and equalize access.
患有米兰标准范围内肝细胞癌 (HCC) 的患者在肝移植等待名单 (WL) 上享有优先权,并与非 HCC 患者竞争。从 WL 中退出是衡量移植机会的间接指标。以前没有报告过 HCC 和非 HCC 患者退出的竞争风险 (CR) 评估。2005 年 3 月 16 日至 2008 年 6 月 30 日期间列出的患者被包括在内。使用 CR 技术和 Cox 模型估计退出概率。总体而言,非 HCC 患者从 WL 中退出的比率高于 HCC 患者 (p < 0.0001)。这在所有地区都是如此。在 Cox 回归中,肿瘤大小、终末期肝病模型 (MELD) 评分和甲胎蛋白 (AFP) 与增加退出风险相关。CR 的多变量分析显示,MELD 评分和 AFP 对 HCC 患者的退出预测影响最大。CR 预测退出的一致性指数为 0.70。根据较低的退出率,HCC 患者在当前分配方案中似乎具有优势,而不论地理位置如何。一个包含 MELD、AFP 和肿瘤大小的连续评分可能有助于优先考虑 HCC 患者,以更好地使退出率与非 HCC 患者相等,并实现平等机会。