Heterosexual transmission of HIV and related risk factors among serodiscordant couples in Henan province, China. 2013

Lan Wang, and Lu Wang, and M Kumi Smith, and Li-ming Li, and Shuai Ming, and Jun Lü, and Wei-hua Cao, and Wen-sheng He, and Jian-ping Zhou, and Ning Wang
School of Public Health, Peking University, Beijing 100191, China; National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.

BACKGROUND HIV transmission between discordant couples has become an important source of new infections in China. To describe the seroconversion rate among serodiscordant couples and to identify salient behavioral and clinical risk factors including ART that affect heterosexual HIV transmission risk among couples in rural China. METHODS Longitudinal follow-up of an open cohort of HIV serodiscordant couples took place between 2007 and 2011 in Zhumadian, a city in southern Henan province in China, where blood plasma selling in 1990s led to a regional HIV epidemic. Annual follow-up included separate face-to-face interviews of husbands and wives, and HIV antibody testing for non-index partners. Cox proportional-hazard modeling was used to assess the relationship between HIV seroconversion and covariates of interest. RESULTS By the end of 2011, 4499 HIV serodiscordant couples had been enrolled in at least two follow-up interviews; 100 non-index partners seroconverted during the entire observation period for an incidence rate of 0.82 per 100 person-years (95% CI: 0.66-0.99). The incidence rates by the end of 2008, 2009, and 2010 were 2.14, 1.51, and 0.90 per 100 personyears respectively. Always using condoms in the past year of sex, gender of the index partner, frequency of sex, and ART exposure were all significant predictors of HIV seroconversion in the negative spouse. ART was highly protective against seroconversion whether the index partner was actively receiving treatment at the last follow-up (RR = 0.05, 95% CI, 0.01-0.16) or if the index partner had ever received ART (RR = 0.01, 95% CI, 0.00, 0.12). The risk of seroconversion in the nonindex spouse also decreased the longer the duration of the index partner's exposure to ART. CONCLUSIONS ART exposure and always using condom were highly protective against HIV seroconversion in the negative spouse. HIV incidence in serodiscordant couples has been decreasing over time, associated with ART treatment time within 7 years in the index partner. Gender of the index spouse and frequency of sex were also important predictors. Treatment as part of a combination prevention package may be a feasible method of HIV control in this population.

UI MeSH Term Description Entries
D008297 Male Males
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D002681 China A country spanning from central Asia to the Pacific Ocean. Inner Mongolia,Manchuria,People's Republic of China,Sinkiang,Mainland China
D005260 Female Females
D006679 HIV Seropositivity Development of neutralizing antibodies in individuals who have been exposed to the human immunodeficiency virus (HIV/HTLV-III/LAV). AIDS Seroconversion,AIDS Seropositivity,Anti-HIV Positivity,HIV Antibody Positivity,HIV Seroconversion,HTLV-III Seroconversion,HTLV-III Seropositivity,AIDS Seroconversions,AIDS Seropositivities,Anti HIV Positivity,Anti-HIV Positivities,Antibody Positivities, HIV,Antibody Positivity, HIV,HIV Antibody Positivities,HIV Seroconversions,HIV Seropositivities,HTLV III Seroconversion,HTLV III Seropositivity,HTLV-III Seroconversions,HTLV-III Seropositivities,Positivities, Anti-HIV,Positivities, HIV Antibody,Positivity, Anti-HIV,Positivity, HIV Antibody,Seroconversion, AIDS,Seroconversion, HIV,Seroconversion, HTLV-III,Seroconversions, AIDS,Seroconversions, HIV,Seroconversions, HTLV-III,Seropositivities, AIDS,Seropositivities, HIV,Seropositivities, HTLV-III,Seropositivity, AIDS,Seropositivity, HIV,Seropositivity, HTLV-III
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000328 Adult A person having attained full growth or maturity. Adults are of 19 through 44 years of age. For a person between 19 and 24 years of age, YOUNG ADULT is available. Adults
D000368 Aged A person 65 years of age or older. For a person older than 79 years, AGED, 80 AND OVER is available. Elderly
D012307 Risk Factors An aspect of personal behavior or lifestyle, environmental exposure, inborn or inherited characteristic, which, based on epidemiological evidence, is known to be associated with a health-related condition considered important to prevent. Health Correlates,Risk Factor Scores,Risk Scores,Social Risk Factors,Population at Risk,Populations at Risk,Correlates, Health,Factor, Risk,Factor, Social Risk,Factors, Social Risk,Risk Factor,Risk Factor Score,Risk Factor, Social,Risk Factors, Social,Risk Score,Score, Risk,Score, Risk Factor,Social Risk Factor
D015331 Cohort Studies Studies in which subsets of a defined population are identified. These groups may or may not be exposed to factors hypothesized to influence the probability of the occurrence of a particular disease or other outcome. Cohorts are defined populations which, as a whole, are followed in an attempt to determine distinguishing subgroup characteristics. Birth Cohort Studies,Birth Cohort Study,Closed Cohort Studies,Cohort Analysis,Concurrent Studies,Historical Cohort Studies,Incidence Studies,Analysis, Cohort,Cohort Studies, Closed,Cohort Studies, Historical,Studies, Closed Cohort,Studies, Concurrent,Studies, Historical Cohort,Analyses, Cohort,Closed Cohort Study,Cohort Analyses,Cohort Studies, Birth,Cohort Study,Cohort Study, Birth,Cohort Study, Closed,Cohort Study, Historical,Concurrent Study,Historical Cohort Study,Incidence Study,Studies, Birth Cohort,Studies, Cohort,Studies, Incidence,Study, Birth Cohort,Study, Closed Cohort,Study, Cohort,Study, Concurrent,Study, Historical Cohort,Study, Incidence

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