医学
肝细胞癌
米兰标准
危险系数
肝移植
内科学
比例危险模型
胃肠病学
队列
前瞻性队列研究
癌
移植
肿瘤科
置信区间
作者
Karim J. Halazun,Marc Najjar,Rita M. Knotts,Benjamin Samstein,Adam Griesemer,James V. Guarrera,Tomoaki Kato,Elizabeth C. Verna,Jean C. Emond,Robert S. Brown
出处
期刊:Annals of Surgery
[Ovid Technologies (Wolters Kluwer)]
日期:2017-03-01
卷期号:265 (3): 557-564
被引量:216
标识
DOI:10.1097/sla.0000000000001966
摘要
We sought to develop a "Model Of Recurrence After Liver transplant" (MORAL) for hepatocellular carcinoma (HCC).The Milan criteria are used to allocate livers to patients with HCC requiring liver transplantation (LT) but do not include objective measures of tumor biology. Biological markers including the neutrophil-lymphocyte ratio (NLR) and alpha-fetoprotein (AFP) have been associated with recurrence risk.Prospective cohort study of adults undergoing LT for HCC between January 2001 and December 2012.A total of 339 patients were included. On multivariable Cox regression analysis, 3 preoperatively available factors were independent predictors of worse recurrence-free survival (RFS), namely, an NLR ≥ 5 (P < 0.0001, hazard ratio, HR: 6.2), AFP > 200 (P < 0.0001, HR: 3.8), and Size >3 cm (P < 0.001, HR: 3.2). The Pre-MORAL score was constructed from the hazard ratios and assigning patients points in an additive fashion, with a minimum of 0 points (no factors) and a maximum of 13 points (all 3 factors). The highest risk patients in the Pre-MORAL had a 5-year RFS of 17.9% compared with 98.6% for the low risk group (P < 0.0001). The post-MORAL was constructed similarly using the 4 postoperatively available independent predictors of worse RFS, grade 4 HCC's (P < 0.0001, HR: 5.6), vascular invasion (P = 0.019, HR: 2.0), size >3 cm (P < 0.0001, HR: 3.2) and number >3 (P = 0.048, HR: 1.8). The pre- and post-MORAL were superior to Milan at predicting recurrence with c-statistics of 0.82 and 0.87, compared with 0.63, respectively. We then combined the scores to produce a combo-MORAL, with a c-statistic of 0.91 for predicting recurrence.The MORAL score provides a simple, highly accurate tool for predicting recurrence and risk-stratification pre- and postoperatively.
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