Using serial cross-sectional surveys to create a retrospective nested cohort to determine HIV incidence from 20 US cities.
AIDS
; 37(15): 2399-2407, 2023 Dec 01.
Article
em En
| MEDLINE
| ID: mdl-37702420
ABSTRACT
OBJECTIVE:
To estimate HIV incidence using successive cross-sectional surveys by creating retrospective nested cohorts among MSM, people who inject drugs (PWID), and heterosexually active persons (HET).DESIGN:
Cohorts were created among participants who had at least one repeat observation across four surveillance cycles from National HIV Behavioral Surveillance in 20 US cities.METHODS:
Repeat participants were identified using a combination of date of birth, race/ethnicity, metropolitan statistical area, and gender. The analysis was limited to participants who tested negative for HIV at baseline and were assumed to be at risk between cycles. We calculated person-years at risk from the individual time between cycles and used the total number of seroconversions to estimate incidence and a Poisson distribution to approximate variance. Rate ratios were calculated using age, gender, race/ethnicity, and region.RESULTS:
From 2008 to 2019, successive surveys recaptured nested cohorts of 1747 MSM, 3708 PWID, and 1396 HET. We observed an incidence rate of 2.5 per 100 person-years [95% confidence interval (CI) 2.1-2.8) among MSM; 0.6 per 100 person-years (95% CI 0.5-0.7) among PWID; and 0.3 per 100 person-years (95% CI 0.1-0.4) among HET. HIV incidence was higher among younger MSM, black MSM (compared with white MSM), and PWID residing in the South and territories (compared with the Midwest).CONCLUSION:
These estimates are consistent with previously published incidence estimates from prospective cohort studies among these populations. Using repeat cross-sectional surveys to simulate a cohort, may serve as another strategy in estimating HIV incidence.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Infecções por HIV
/
Abuso de Substâncias por Via Intravenosa
/
Minorias Sexuais e de Gênero
Tipo de estudo:
Incidence_studies
/
Observational_studies
/
Prevalence_studies
/
Risk_factors_studies
Limite:
Humans
/
Male
Idioma:
En
Ano de publicação:
2023
Tipo de documento:
Article