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| Name | Class |
|---|---|
| Linyi People's Hospital | OTHER |
| First Affiliated Hospital Xi'an Jiaotong University | OTHER |
| First Affiliated Hospital of Wenzhou Medical University | OTHER |
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Establishment and validation of the non-invasive model to predict antiviral therapy in the gray zone of chronic hepatitis B
Chronic hepatitis B virus (HBV) infection continues to be a major public health problem worldwide today. According to statistics, the prevalence of chronic HBV infection assessed globally in 2016 was 3.5%, or 257 million people with chronic infection. In China, it is estimated that about 70 million people are chronically infected with HBV in 2019, including about 20-30 million people with chronic hepatitis B (CHB). CHB is a major risk factor for cirrhosis, and hepatocellular carcinoma (HCC). 12-20% of patients with chronic hepatitis B will develop cirrhosis, and of these, around 20% will further develop decompensated cirrhosis and 6-15% will develop HCC, with hepatitis B accounting for approximately 50% of HCC cases worldwide. Therefore, strongly and exact management of chronic hepatitis B is extremely important for the control of HBV progression. Current domestic and international clinical guidelines generally divide the natural history of chronic hepatitis B into four immune phases based on HBV DNA levels, liver injury, and HBeAg status: immune active, immune tolerant, inactive HBsAg carriers, and reactive stage. The guidelines of American Association for the Study of Liver Diseases (AASLD) recommend the use of antiviral therapy for patients in the immune active and reactive phases, and also provide a detailed follow-up plan for patients in other phases. However, a significant number of patients with chronic hepatitis B cannot be classified in any of these four phases, who falls into a gray area with uncertainty of formal management. According to the 2018 AASLD Hepatitis B Guidelines criteria for antiviral therapy, patients in the gray zone still do not have clarity on the need for antiviral therapy based only on clinical indicators. A recent study showed that nearly 40% of patients with chronic hepatitis B were in the indeterminate stage. At long-term follow-up assessment, half of these patients were still in the indeterminate phase and one-fifth had transitioned to the immune active phase. Patients in the indeterminate phase were 14 times more likely to develop HCC than those with inactive hepatitis B. Therefore, the management of antiviral therapy in patients with CHB in the "gray zone" is crucial and should be demonstrated. The aim of the investigators is to investigate the clinical characteristics of patients with uncertain treatment in the "gray zone" of CHB and to develop a non-invasive predictive model for the indication of antiviral therapy. This will provide guidance for the clinical management of patients in the "gray zone" of CHB, thereby reducing the incidence of cirrhosis and liver cancer and improving their quality of life.
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Exposure factors | Other | Including demographical data, laboratory features and liver histological indicators. |
| Measure | Description | Time Frame |
|---|---|---|
| Number of participants with the antiviral therapy as assessed by AASLD guideline | The criteria of antiviral therapy:
| From Jan 1st,2010 to Aug 31,2023 |
| Number of participants with significant liver histology as assessed by Metavia scoring system | Significant liver histology showing significant hepatic inflammation ≥G2 and/or fibrosis ≥S2 as assessed by Metavir scoring system The fibrosis score is used to describe the amount of inflammation (the intensity of inflammation/breakdown of tissue) in the liver: F0: No fibrosis F1: Portal fibrosis without septa F2: Portal fibrosis with few septa F3: Numerous septa without cirrhosis F4: Cirrhosis The activity score is a prediction about how rapidly the degree of fibrosis is progressing: G0: No activity G1: Mild activity G2: Moderate activity G3: Severe activity | From Jan 1st,2010 to Aug 31,2023 |
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Inclusion Criteria:
Normal upper limit of ALT is 35 U/L for male and 25 U/L for female.
Exclusion Criteria:
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The minimum sample size required for the study was calculated to be 417, and it was estimated that almost 1000 patients with chronic hepatitis B underwent hepatic puncture biopsy in the seven hospitals from 2010 to 2022, and all patients will be included in the study.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Yu-Chen Fan, MD,PhD | Contact | 18560082065 | fanyuchen@sdu.edu.cn |
| Name | Affiliation | Role |
|---|---|---|
| Yu-Chen Fan, MD,PhD | Qilu Hospital of Shandong University | Study Chair |
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| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 26231459 | Background | Schweitzer A, Horn J, Mikolajczyk RT, Krause G, Ott JJ. Estimations of worldwide prevalence of chronic hepatitis B virus infection: a systematic review of data published between 1965 and 2013. Lancet. 2015 Oct 17;386(10003):1546-55. doi: 10.1016/S0140-6736(15)61412-X. Epub 2015 Jul 28. | |
| 34722192 | Background |
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| ID | Term |
|---|---|
| D019694 | Hepatitis B, Chronic |
| ID | Term |
|---|---|
| D006509 | Hepatitis B |
| D000086982 | Blood-Borne Infections |
| D003141 | Communicable Diseases |
| D007239 | Infections |
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| Third Affiliated Hospital, Sun Yat-Sen University |
| OTHER |
| Sir Run Run Shaw Hospital | OTHER |
| First Affiliated Hospital of Zhejiang University | OTHER |
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| Wang G, Duan Z. Guidelines for Prevention and Treatment of Chronic Hepatitis B. J Clin Transl Hepatol. 2021 Oct 28;9(5):769-791. doi: 10.14218/JCTH.2021.00209. Epub 2021 Sep 28. |
| 32077616 | Background | Huang DQ, Lim SG. Hepatitis B: Who to treat? A critical review of international guidelines. Liver Int. 2020 Feb;40 Suppl 1:5-14. doi: 10.1111/liv.14365. |
| 29405329 | Background | Terrault NA, Lok ASF, McMahon BJ, Chang KM, Hwang JP, Jonas MM, Brown RS Jr, Bzowej NH, Wong JB. Update on prevention, diagnosis, and treatment of chronic hepatitis B: AASLD 2018 hepatitis B guidance. Hepatology. 2018 Apr;67(4):1560-1599. doi: 10.1002/hep.29800. No abstract available. |
| 40360826 | Derived | Ma HY, Yang XY, Tian YX, Li XD, He YL, Yang Q, Zheng MH, Zheng YB, Yu Y, Xu LY, Wang QN, Zhang T, Shi Y, Fan YC. Performance of the AASLD, EASL, and APASL Clinical Practice Guidelines in"grey zone"stages of Chinese patients with chronic hepatitis B. Hepatol Int. 2025 Aug;19(4):796-808. doi: 10.1007/s12072-025-10833-3. Epub 2025 May 14. |
| 39960318 | Derived | Yang XY, Li XD, Wu BY, Yang Q, Zheng YB, Zheng MH, Wu YP, Ma HY, Zuo J, Jia RX, Yu Y, Xu LY, Tian YX, An Q, Zhang T, He YL, Shi Y, Fan YC. A Model to Identify Gray Zone Patients With Chronic Hepatitis B Requiring Antiviral Therapy: A Multicenter Retrospective Study. J Infect Dis. 2025 Aug 14;232(2):485-498. doi: 10.1093/infdis/jiaf070. |
| D018347 |
| Hepadnaviridae Infections |
| D004266 | DNA Virus Infections |
| D014777 | Virus Diseases |
| D006525 | Hepatitis, Viral, Human |
| D006521 | Hepatitis, Chronic |
| D006505 | Hepatitis |
| D008107 | Liver Diseases |
| D004066 | Digestive System Diseases |
| D002908 | Chronic Disease |
| D020969 | Disease Attributes |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |