A Model Based on Noninvasive Markers Predicts Very Low Hepatocellular Carcinoma Risk After Viral Response in Hepatitis C Virus–Advanced Fibrosis

肝细胞癌 瞬态弹性成像 比例危险模型 医学 纤维化 丙型肝炎病毒 胃肠病学 丙型肝炎 单变量分析 队列 乙型肝炎病毒 病毒 肿瘤科 内科学 多元分析 肝纤维化 免疫学
作者
Sonia Alonso López,María Luisa Manzano,Francisco Gea,María Luisa Gutiérrez García,Adriana Maria Ahumada,M. J. Devesa,Antonio Olveira,Benjamín Polo Lorduy,Laura Márquez,Inmaculada Fernández,J. Cobo,Laura Rayón,Daniel Riado,Sonia Izquierdo,Clara Usón,Yolanda Real,Diego Rincón,Conrado Fernández‐Rodríguez,Rafael Bañares
出处
期刊:Hepatology [Lippincott Williams & Wilkins]
卷期号:72 (6): 1924-1934 被引量:89
标识
DOI:10.1002/hep.31588
摘要

Background and Aims Patients with hepatitis C virus (HCV) and advanced fibrosis remain at risk of hepatocellular carcinoma (HCC) after sustained viral response (SVR) and need lifelong surveillance. Because HCC risk is not homogenous and may decrease with fibrosis regression, we aimed to identify patients with low HCC risk based on the prediction of noninvasive markers and its changes after SVR. Approach and Results This is a multicenter cohort study, including patients with HCV and compensated advanced fibrosis that achieved SVR after direct antivirals. Clinical and transient elastography (TE) data were registered at baseline, 1 year, and 3 years after the end of treatment (EOT). All patients underwent liver ultrasound scan every 6 months. Patients with clinical evaluation 1 year after EOT were eligible. Univariate and multivariate Cox regression analysis were performed, and predictive models were constructed. HCC occurrence rates were evaluated by Kaplan‐Meier. Nine hundred and ninety‐three patients were eligible (56% male; 44% female; median age 62 years), 35 developed HCC (3.9%), and the median follow‐up was 45 months (range 13‐53). Baseline liver stiffness measurement (LSM) (HR 1.040; 95% CI 1.017‐1.064), serum albumin (HR 0.400; 95% CI 0.174‐0.923), 1‐year DeltaLSM (HR 0.993; 95% CI 0.987‐0.998), and 1‐year FIB‐4 score (HR 1.095; 95% CI 1.046‐1.146) were independent factors associated with HCC. The TE‐based HCC risk model predicted 0% of HCC occurrence at 3 years in patients with score 0 (baseline LSM ≤ 17.3 kPa, albumin >4.2 g/dL, and 1‐year DeltaLSM > 25.5%) versus 5.2% in patients with score 1‐3 (Harrell’s C 0.779; log‐rank 0.002). An alternative model with FIB‐4 similarly predicted HCC risk. Conclusions A combination of baseline and dynamic changes in noninvasive markers may help to identify patients with a very low risk of HCC development after SVR.
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