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A nomogram model for evaluating significant histological response in chronic hepatitis B patients receiving entecavir treatment
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Chun-Yan Wang1, Dong Ji1, 2, 3, *, Yan Chen1, Guang-De Zhou4, Zheng Dong1, Jian-Jun Wang1, Guo-Feng Chen1, 2, Yong-Ping Yang1, 2, *
Medical Journal of Chinese People’s Liberation Army | 2023, 48(2) : 143 - 150
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Medical Journal of Chinese People’s Liberation Army | 2023, 48(2): 143-150
The diagnosis, treatment and prognosis of chronic hepatitis B
A nomogram model for evaluating significant histological response in chronic hepatitis B patients receiving entecavir treatment
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Chun-Yan Wang1, Dong Ji1, 2, 3, *, Yan Chen1, Guang-De Zhou4, Zheng Dong1, Jian-Jun Wang1, Guo-Feng Chen1, 2, Yong-Ping Yang1, 2, *
Affiliations
  • 1Senior Department of Hepatology, the Fifth Medical Center of Chinese PLA General Hospital, Beijing 100039, China
  • 2Peking University 302 Clinical Medical School, Beijing 100039, China
  • 3The Second School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong 510515, China
  • 4Department of Pathology, Beijing You An Hospital, Capital Medical University, Beijing 100069, China
Published: 2023-02-28 doi: 10.11855/j.issn.0577-7402.2023.02.0143
Outline
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Objective To identify the high-risk factors and establish a nomogram for evaluating significant histological response (SHR) in chronic hepatitis B (CHB) patients receiving entecavir treatment. Methods Treatment-naive CHB patients who were presented to 14 hospitals, from October 2013 to October 2014, were enrolled and treated with entecavir for 72 weeks,prospectively. All the patients who underwent paired biopsies at treatment baseline and week 72 were analyzed. According to whether SHR (Ishak fibrosis score F≤2 points and histology activity index HAI≤4 points) was obtained during treatment, they were assigned to response group (n=160) and non-response group (n=567). High-risk factors were identified by multivariate logistic regression, and then were incorporated into a nomogram model. The discrimination, calibration and clinical applicability of nomogram were assessed by concordance index (C-index), calibration curve and clinical decision curve (DCA). Results After 72 weeks of treatment, regression of fibrosis, improvement of inflammation, virologic response, alanine aminotransferase (ALT)normalization and HBeAg seroconversion were 51.2%, 74.4%, 86.0%, 83.5% and 13.3%, respectively, however, 49.0% (306/625) of patients with virological response and 43.4% (165/380) of patients with ALT normalization did not achieved regression of fibrosis.Logistic regression analysis showed that baseline age (OR=0.978, 95%CI 0.958-0.998, P=0.030), platelet (PLT) (OR=1.005, 95%CI 1.001-1.010, P=0.030), liver stiffness measurement (LSM) (OR=0.931, 95%CI 0.892-0.972, P=0.001) and 72-week ALT (OR=0.980,95%CI 0.964-0.996, P=0.016), 72-week LSM (OR=0.858, 95%CI 0.782-0.941, P=0.001) were independent high-risk factors associated with SHR. The C-index of the nomogram model based on the above factors was 0.784, which was significantly better than 72-week AST/PLT ratio (APRI) (0.643), fibrosis-4 (FIB-4) (0.691) and LSM (0.735) alone, and had well-fitted calibration curves and DCA. Conclusions Incorporating baseline age, PLT, LSM, 72-week ALT and 72-week LSM, the established individualized nomogram model for evaluating significant histological response in CHB patients receiving antiviral therapy has good predictive performance and can reduce the need of liver biopsy.

hepatitis B, chronic  /  entecavir  /  histological response  /  nomogram
Chun-Yan Wang, Dong Ji, Yan Chen, Guang-De Zhou, Zheng Dong, Jian-Jun Wang, Guo-Feng Chen, Yong-Ping Yang. A nomogram model for evaluating significant histological response in chronic hepatitis B patients receiving entecavir treatment[J]. Medical Journal of Chinese People’s Liberation Army, 2023 , 48 (2) : 143 -150 . DOI: 10.11855/j.issn.0577-7402.2023.02.0143
  • National Major Science and Technology Special Project of China(2018ZX10725506)
  • Medical Big Data and Artificial Intelligence Development Fund of Chinese PLA General Hospital(2019MBD-024)
Year 2023 volume 48 Issue 2
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Article Info
doi: 10.11855/j.issn.0577-7402.2023.02.0143
  • Receive Date:2021-05-28
  • Online Date:2025-12-03
  • Published:2023-02-28
Article Data
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History
  • Received:2021-05-28
  • Accepted:2021-08-10
Funding
National Major Science and Technology Special Project of China(2018ZX10725506)
Medical Big Data and Artificial Intelligence Development Fund of Chinese PLA General Hospital(2019MBD-024)
Affiliations
    1Senior Department of Hepatology, the Fifth Medical Center of Chinese PLA General Hospital, Beijing 100039, China
    2Peking University 302 Clinical Medical School, Beijing 100039, China
    3The Second School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong 510515, China
    4Department of Pathology, Beijing You An Hospital, Capital Medical University, Beijing 100069, China

Corresponding:

* Ji Dong, E-mail:
Yang Yong-Ping, E-mail:
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表12种不同金属材料的力学参数

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光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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