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논문 기본 정보

자료유형
학술저널
저자정보
손원 (원광의대 산본병원) 조주연 (조선대학교) 김지훈 (고려대학교) 이정일 (연세대학교) 김형준 (중앙대학교) 우민아 (성균관의대 내과) 정신호 (삼성서울병원) 백용한 (성균관대학교)
저널정보
대한간학회 Clinical and Molecular Hepatology Clinical and Molecular Hepatology 제23권 제2호
발행연도
2017.6
수록면
170 - 178 (9page)
DOI
https://doi.org/10.3350/cmh.2016.0086

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Background/Aims: This study aimed to develop and validate a risk prediction model for the development of hepatocellular carcinoma (HCC) in treatment-naive patients receiving oral antiviral treatment for chronic hepatitis B (CHB). Methods: We investigated 2,061 Korean treatment-naive patients with CHB treated with entecavir as an initial therapy. A risk score model for HCC development was developed based on multivariable Cox regression model in a single center (n=990) and was validated using the time-dependent area under the receiver operating characteristic curve (AUROC) in three other centers (n=1,071). The difference of HCC development among risk groups (low, intermediate, and high) categorized by risk score was also investigated. Results: The cumulative incidence rates of HCC at 5 years were 11.2% and 8.9% in the testing and validation cohorts, respectively. HCC-Risk Estimating Score in CHB patients Under Entecavir (HCC-RESCUE) is formulated as (age+15×gender [female=0 / male=1]+23×cirrhosis [absence=0 / presence=1]). The AUROCs at 1 year, 3 years, and 5 years were 0.82, 0.81, and 0.81, respectively, in the validation cohort. A significant difference of HCC development in each risk group was determined by the 5-year HCC risk score in the validation cohort (low risk group, 2.1%; intermediate risk group, 9.3%; high risk group, 41.2%, p<0.001). Conclusions: The study presents a new risk score model with a good ability to predict HCC development and determine high risk patients for HCC development consisting of readily available clinical factors in treatment-naive CHB patients receiving entecavir.

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