HIV prevalence and incidence estimates among blood donors in five regions in China

Autor: Hongli Ma, Mei Huang, Ling Shi, Shimian Zou, Yu Liu, Jingxing Wang, Jianhua Wan, Weilan He, Wei Mao, Donor Evaluation Study-III, Peibin Zeng, Dan Liao, Hua Shan, Paul M. Ness, Shaoli Wang, Marian T. Sullivan, Miao He, Donald Brambilla, Ping Fu, Zhan Gao, Jing Liu
Rok vydání: 2019
Předmět:
Zdroj: TransfusionREFERENCES. 60(1)
ISSN: 1537-2995
Popis: Background Previous data, although scant, indicated that the incidence of HIV in China has increased over the past decade. There is a growing concern about the impact of the HIV epidemic on blood safety. Methods and materials We used donation data from five geographically-disperse blood centers in 2013-2016 participating in the Recipient Epidemiology and Donor Evaluation Study-III (REDS-III) China program to estimate HIV prevalence and incidence among blood donors. Multivariable logistic regression model was used to examine factors associated with HIV infection in Chinese blood donors. Results The overall HIV prevalence among first-time donors from 2013 through 2016 was 68.04 per 100,000 donors (95% CI 61.68-74.40). The HIV incidence rate was estimated to be 37.93 per 100,000 person-years (95% CI 30.62-46.97) among first-time donors and 20.55 per 100,000 person-years (95% CI 16.95-24.91) among repeat donors. There was substantial variation in HIV prevalence and incidence rates across blood centers. Multivariable logistic regression results showed that among first-time donors, being male, older than 25 years, minority ethnicity, less than college education, and certain occupations (commercial services, factory workers, retired, unemployed, or self-employed) were associated with positive HIV confirmatory testing results. Conclusion HIV prevalence and incidence among blood donors remain low in the selected five regions in China; however, an increasing trend is observed at some blood centers. It is important to monitor HIV epidemiology in Chinese blood donors on a continuous basis, especially among populations and regions of higher risk.
Databáze: OpenAIRE