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A predictive model for hepatitis B infection among high‐risk adults using a community‐based sample in Greater Philadelphia

Journal of Viral Hepatitis Jul 27, 2020

Freeland C, Vader D, Cohen C, et al. - In the US, liver cancer incidence and death rates are increasing at a faster rate than any other cancer and hepatitis B virus (HBV) is associated with the development of a significant proportion of these liver cancer cases. Community‐based screening is performed to recognize individuals who are living with HBV in underserved communities, particularly Asian American, Pacific Islander and African immigrant populations. From this dataset, assessment was performed of a total of 3,019 individuals considered high‐risk for HBV tested at community‐based testing events between 2008‐2019. HBV infection rate of 7.9% (N = 229), and protective antibodies against HBV in 59% (N = 1,704) were identified. To account for missingness in the data, multiple imputation was conducted and followed by logistic regression to develop a predictive model. Per results, there was an association between insurance status and HBV infection in the predictive model. Also, there was significant correlation of participant region of origin with HBV infection; higher odds of infection were noted for participants who immigrated from the Western Pacific and African World Health Organization designated regions vs those from the Americas. Results emphasize the necessity to continue to expand screening for HBV in high‐risk populations.

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