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CAGE-B and SAGE-B models better predict the hepatitis B virus-related hepatocellular carcinoma after 5-year entecavir treatment than PAGE-B.
Chon, Hye Yeon; Lee, Han Ah; Park, Soo Young; Seo, Yeon Seok; Kim, Sang Gyune; Lee, Chang Hun; Lee, Tae Hee; Ahn, Sang Hoon; Wong, Vincent Wai-Sun; Yip, Terry Cheuk-Fung; Liang, Lilian Yan; Kim, In Hee; Wong, Grace Lai-Hung; Kim, Seung Up.
Afiliação
  • Chon HY; Department of Internal Medicine, Yonsei University College of Medicine, Seoul, South Korea.
  • Lee HA; Departments of Internal Medicine, Ewha Womans University College of Medicine, Seoul, South Korea.
  • Park SY; Department of Internal Medicine, Kyungpook National University Hospital, Daegu, South Korea.
  • Seo YS; Departments of Internal Medicine, Korea University College of Medicine, Seoul, South Korea.
  • Kim SG; Department of Internal Medicine, Soonchunhyang University College of Medicine Bucheon Hospital, Bucheon, South Korea.
  • Lee CH; Department of Internal Medicine, Jeonbuk National University Medical School, Jeonju, South Korea.
  • Lee TH; Department of Internal Medicine, Konyang University College of Medicine, Daejeon, South Korea.
  • Ahn SH; Department of Internal Medicine, Yonsei University College of Medicine, Seoul, South Korea.
  • Wong VW; Yonsei Liver Center, Severance Hospital, Seoul, South Korea.
  • Yip TC; Medical Data Analytics Centre (MDAC), Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China.
  • Liang LY; Medical Data Analytics Centre (MDAC), Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China.
  • Kim IH; Medical Data Analytics Centre (MDAC), Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China.
  • Wong GL; Department of Internal Medicine, Jeonbuk National University Medical School, Jeonju, South Korea.
  • Kim SU; Medical Data Analytics Centre (MDAC), Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China.
J Dig Dis ; 24(2): 113-121, 2023 Feb.
Article em En | MEDLINE | ID: mdl-37057685
ABSTRACT

OBJECTIVES:

The PAGE-B model consists of variables at the initiation of antiviral therapy (AVT), whereas the SAGE-B and CAGE-B models consist of variables after 5 years of AVT. We aimed to compare the predictive accuracy of three risk prediction models for hepatocellular carcinoma (HCC) development after 5 years of AVT in patients with chronic hepatitis B (CHB).

METHODS:

A total of 1335 patients who initiated entecavir (ETV) treatment between 2006 and 2011 and were followed up for more than 5 years were enrolled in the study.

RESULTS:

At ETV initiation, the median age was 49 years and the median score of the PAGE-B model was 14. After 5 years of ETV treatment, the median SAGE-B and CAGE-B scores were 6 and 6. During the study period, 93 (7.0%) patients developed HCC after 5-year treatment. In multivariate analysis, PAGE-B (hazard ratio [HR] 1.151, 95% confidence interval [CI] 1.087-1.219), SAGE-B (HR 1.340, 95% CI 1.228-1.463), and CAGE-B (HR 1.327, 95% CI 1.223-1.440) models independently predicted HCC development after 5 years of treatment (all P < 0.001). The high-risk groups of the three risk prediction models showed a significantly higher risk of HCC development compared to the medium- and low-risk groups (both P < 0.05). The AUROC of the SAGE-B (0.772-0.844) and CAGE-B (0.785-0.838) models was significantly higher than those of the PAGE-B model (0.696-0.745) in predicting HCC development after 5 years of treatment (both P < 0.05).

CONCLUSION:

The SAGE-B and CAGE-B models might be better than the PAGE-B model in predicting HCC development after 5 years of ETV treatment.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Carcinoma Hepatocelular / Hepatite B Crônica / Neoplasias Hepáticas Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Carcinoma Hepatocelular / Hepatite B Crônica / Neoplasias Hepáticas Idioma: En Ano de publicação: 2023 Tipo de documento: Article