Prediction model for hepatocellular carcinoma risk in treatment-naive chronic hepatitis B patients receiving entecavir/tenofovir. Issue 7 (July 2019)

• Record Type: Journal Article
• Authors: Yu, Jung Hwan; Suh, Young Ju; Jin, Young-Joo; Heo, Nae-Yun; Jang, Ji Woong; You, Chan Ran; An, Hyun Young; Lee, Jin-Woo
• Is Part Of: European journal of gastroenterology & hepatology. Volume 31:Issue 7(2019)
• Publication Date: 2019-07
• Subjects: chronic hepatitis B -- entecavir -- hepatocellular carcinoma -- tenofovir; Digestive organs -- Diseases -- Periodicals; Liver -- Diseases -- Periodicals; Digestive organs -- Diseases; Liver -- Diseases; Periodicals; 616.33
• DOI: 10.1097/MEG.0000000000001357
• Languages: English
• ISSNs: 0954-691X

Abstract

Abstract : Background/aim: Accurate assessment of hepatocellular carcinoma (HCC) risk in chronic hepatitis B (CHB) patients receiving entecavir (ETV)/tenofovir disoproxil fumarate (TDF) is likely to play a pivotal role in post-treatment follow-up strategy. We aimed to develop a simple and reliable predictive model for HCC risk in these patients. Patients and methods: A database of 1242 consecutive treatment-naive CHB patients who initially underwent ETV/TDF between February 2007 and January 2017 at four referral hospitals in South Korea was analyzed. The HCC risk model was constructed on the basis of a multivariable Cox proportional hazards model in the derivation dataset ( n =944) and was validated using Harrell's C -statistic in a validation dataset ( n =298). Results: The 3/5-year cumulative incidence rates of HCC were 3.9/6.5 and 4.2/11.6% in the derivation and the validation dataset, respectively ( P =0.08). In the derivation dataset, we identified four factors associated with HCC, namely, age, albumin, sex, and liver cirrhosis. The AASL (age, albumin, sex, liver cirrhosis)-HCC scoring system was developed on the basis of these factors, and simplified to an integer scoring system. AASL-HCC scores were found to have high discriminating performance for the prediction of HCC development at 5 years in the derivation ( C -statistics=0.802, 95% confidence interval: 0.716–0.888) and validation dataset ( C -statistics=0.805, 95% confidence interval: 0.671–0.939). When AASL-HCC scores were classified as 5 or less, 6–19, and at least 20 (low-risk, intermediate-risk, and high-risk groups, respectively), the 5-year cumulative incidence rates of HCC were 0, 4.2, and 17.6%, respectively, in the derivation dataset. Conclusions: The AASL-HCC model was simple and reliable for HCC risk prediction in treatment-naive CHB patients receiving ETV/TDF, and is easily applicable in the clinical setting. Abstract : Supplemental Digital Content is available in the text.