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Feasibility of dynamic risk prediction for hepatocellular carcinoma development in patients with chronic hepatitis B

Authors
 Mi Young Jeon  ;  Hye Won Lee  ;  Seung Up Kim  ;  Beom Kyung Kim  ;  Jun Yong Park  ;  Do Young Kim  ;  Kwang-Hyub Han  ;  Sang Hoon Ahn 
Citation
 LIVER INTERNATIONAL, Vol.38(4) : 676-686, 2018 
Journal Title
 LIVER INTERNATIONAL 
ISSN
 1478-3223 
Issue Date
2018
Keywords
chronic hepatitis B ; hepatocellular carcinoma ; liver fibrosis ; risk prediction
Abstract
BACKGROUND & AIMS: Several risk prediction models for hepatocellular carcinoma (HCC) development are available. We explored whether the use of risk prediction models can dynamically predict HCC development at different time points in chronic hepatitis B (CHB) patients. METHODS: Between 2006 and 2014, 1397 CHB patients were recruited. All patients underwent serial transient elastography at intervals of >6 months. RESULTS: The median age of this study population (931 males and 466 females) was 49.0 years. The median CU-HCC, REACH-B, LSM-HCC and mREACH-B score at enrolment were 4.0, 9.0, 10.0 and 8.0 respectively. During the follow-up period (median, 68.0 months), 87 (6.2%) patients developed HCC. All risk prediction models were successful in predicting HCC development at both the first liver stiffness (LS) measurement (hazard ratio [HR] = 1.067-1.467 in the subgroup without antiviral therapy [AVT] and 1.096-1.458 in the subgroup with AVT) and second LS measurement (HR = 1.125-1.448 in the subgroup without AVT and 1.087-1.249 in the subgroup with AVT). In contrast, neither the absolute nor percentage change in the scores from the risk prediction models predicted HCC development (all P > .05). The mREACH-B score performed similarly or significantly better than did the other scores (AUROCs at 5 years, 0.694-0.862 vs 0.537-0.875). CONCLUSIONS: Dynamic prediction of HCC development at different time points was achieved using four risk prediction models, but not using the changes in the absolute and percentage values between two time points. The mREACH-B score was the most appropriate prediction model of HCC development among four prediction models.
Full Text
https://onlinelibrary.wiley.com/doi/abs/10.1111/liv.13583
DOI
10.1111/liv.13583
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers
Yonsei Authors
Kim, Do Young(김도영)
Kim, Beom Kyung(김범경) ORCID logo https://orcid.org/0000-0002-5363-2496
Kim, Seung Up(김승업) ORCID logo https://orcid.org/0000-0002-9658-8050
Park, Jun Yong(박준용) ORCID logo https://orcid.org/0000-0001-6324-2224
Ahn, Sang Hoon(안상훈) ORCID logo https://orcid.org/0000-0002-3629-4624
Lee, Hye Won(이혜원) ORCID logo https://orcid.org/0000-0002-3552-3560
Jeon, Mi Young(전미영) ORCID logo https://orcid.org/0000-0002-3980-4503
Han, Kwang-Hyub(한광협) ORCID logo https://orcid.org/0000-0003-3960-6539
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/162370
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