医学
米兰标准
肝细胞癌
比例危险模型
内科学
肝移植
胃肠病学
选择(遗传算法)
总体生存率
统计的
肿瘤科
移植
统计
人工智能
数学
计算机科学
作者
Karim J. Halazun,Parissa Tabrizian,Marc Najjar,Sander Florman,Myron Schwartz,Fabrizio Michelassi,Benjamin Samstein,Robert S. Brown,Jean C. Emond,Ronald W. Busuttil,Vatche G. Agopian
出处
期刊:Annals of Surgery
[Ovid Technologies (Wolters Kluwer)]
日期:2018-07-25
卷期号:268 (4): 690-699
被引量:95
标识
DOI:10.1097/sla.0000000000002964
摘要
Objectives: European liver transplant (LT) centers have moved away from using the Milan Criteria (MC) for hepatocellular carcinoma (HCC) patient selection, turning to models including tumor biological indices, namely alpha-fetoprotein (AFP). We present the first US model to incorporate an AFP response (AFP-R), with comparisons to MC and French-AFP models (F-AFP). Methods: AFP-R was measured as differences between maximum and final pre-LT AFP in HCC patients undergoing LT at 3 US centers (2001 to 2013). Cox and competing risk-regression analyses identified predictors of recurrence-free survival (RFS). Results: Of 1450 patients, 235 (16.2%) were outside MC. Tumor size, number, and AFP-R were independent predictors of RFS and were assigned weighted points based on Cox-regression analysis. An AFP-R consistently < 200 ng/mL predicted the best outcome. A 3-tiered competing-risk RFS model, the New York/California (NYCA) score, was developed, accurately discriminating between groups ( P < 0.001), and correlating with overall survival ( P < 0.001). Two hundred one of 235 patients outside MC (85.5%) would be recategorized into NYCA low/acceptable-risk groups. The c-statistic for our NYCA score is 0.731 compared with 0.613 for MC and 0.658 for F-AFP ( P < 0.0001). Conclusion: Incorporation of AFP-R into HCC selection criteria allows for MC expansion. As United Network for Organ Sharing considers adding AFP to selection algorithms, the NYCA score provides an objective, user-friendly tool for centers to appropriately risk-stratify patients.
科研通智能强力驱动
Strongly Powered by AbleSci AI