Changing contextual factors from baseline to 9-months post-HIV diagnosis predict 5-year mortality in Durban, South Africa

AIDS Care. 2021 Dec;33(12):1543-1550. doi: 10.1080/09540121.2020.1837338. Epub 2020 Nov 2.

Abstract

Changes in an individual's contextual factors following HIV diagnosis may influence long-term outcomes. We evaluated how changes to contextual factors between HIV diagnosis and 9-month follow-up predict 5-year mortality among HIV-infected individuals in Durban, South Africa enrolled in the Sizanani Trial (NCT01188941). We used random survival forests to identify 9-month variables and changes from baseline predictive of time to mortality. We incorporated these into a Cox proportional hazards model including age, sex, and starting ART by 9 months a priori, 9-month social support and competing needs, and changes in mental health between baseline and 9 months. Among 1,154 participants with South African ID numbers, 900 (78%) had baseline and 9-month data available of whom 109 (12%) died after 9-month follow-up. Those who reported less social support at 9 months had a 16% higher risk of mortality. Participants who went without basic needs or healthcare at 9 months had a 2.6 times higher hazard of death compared to participants who did not. Low social support and competing needs at 9-month follow-up substantially increase long-term mortality risk. Reassessing contextual factors during follow-up and targeting interventions to increase social support and affordability of care may reduce long-term mortality for HIV-infected individuals in South Africa.

Keywords: HIV infection; South Africa; mortality; predictors of mortality.

Publication types

  • Randomized Controlled Trial
  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Delivery of Health Care
  • HIV Infections* / diagnosis
  • Humans
  • Infant
  • Proportional Hazards Models
  • Social Support
  • South Africa / epidemiology

Associated data

  • ClinicalTrials.gov/NCT01188941