Long-term Effectiveness of a Recombinant Hepatitis E Vaccine: a Test-negative Design Study
Trial Snapshot
- Phase
- Not Applicable
- Status
- Recruiting
- Sponsor
- Enrollment
- 2,900
- Locations
- 1
- Primary Endpoint
- Rate of hepatitis E infection
Study Overview
Brief Summary
This test-negative study is designed to evaluate the long-term effectiveness of hepatitis E vaccine (Hecolin®) and to explore the prevalence of rat hepatitis E in Dongtai City.
Detailed Description
In this negative test study, residual clinical serum will be collected from 13 hospitals in Dongtai, if it was from patients born between 1941-1991 from 11 towns in Dongtai, who tested positive for ALT levels higher than 2.5 times the upper limit of normal (ULN). Detection of HEV IgM, IgG, antigen, RNA will be performed to diagnose hepatitis E (HE) in each individual. In addition, HE vaccination history will be collect. All the information above will be used to evaluate the long-term effectiveness of HE vaccine. Based on the study design, virological and serological detection (IgM, IgG, antigen, and RNA) of hepatitis E virus species C (HEV-C) will be performed to analyze the prevalence of rat hepatitis E infection in Dongtai.
Study Design
- Study Type
- Observational
- Observational Model
- Case Control
- Time Perspective
- Retrospective
Eligibility Criteria
- Ages
- 32 Years to 82 Years (Adult, Older Adult)
- Sex
- All
- Accepts Healthy Volunteers
- No
Inclusion Criteria
- •From 11 townships(Anfeng、Fuan、Tangyang、Hougang、Liangduo、Qingdong、Shiyan、Shenzao、Wulie、Xuhe、Xinjie)
- •ALT ≥ 2.5 ULN
- •Born between 1941 and 1991
Exclusion Criteria
- Not provided
Outcomes
Primary Outcomes
Rate of hepatitis E infection
Time Frame: Two months after sampling
In patients with ALT \> 2.5 ULN, HEV infection is diagnosed as positive when two of the following indicators are positive: (1) HEV-IgM; (2) Seroconversion or four-fold increase of HEV-IgG;(3) HEV-RNA; (4) HEV-antigen.
Secondary Outcomes
- Rate of rat hepatitis E infection(Two months after sampling)
Investigators
Jun Zhang
professor
Xiamen University
