Identifying and predicting longitudinal trajectories of care for people newly diagnosed with HIV in South Africa.

ABSTRACT:

Background

Predicting long-term care trajectories at the time of HIV diagnosis may allow targeted interventions. Our objective was to uncover distinct CD4-based trajectories and determine baseline demographic, clinical, and contextual factors associated with trajectory membership.

Methods

We used data from the Sizanani trial (NCT01188941), in which adults were enrolled prior to HIV testing in Durban, South Africa from August 2010-January 2013. We ascertained CD4 counts from the National Health Laboratory Service over 5y follow-up. We used group-based statistical modeling to identify groups with similar CD4 count trajectories and Bayesian information criteria to determine distinct CD4 trajectories. We evaluated baseline factors that predict membership in specific trajectories

SUBMITTER: Platt L 

PROVIDER: S-EPMC7505419 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature