Ontology highlight
ABSTRACT: Background
The predictors of weight gain remain unclear in people with acute and early HIV infection (AEH).Methods
Eligible antiretroviral-naïve men diagnosed with AEH from January 1, 2000, to December 31, 2019, were enrolled in an observational cohort study at the University California, San Diego. The study used multivariable mixed-effect linear regression models to analyze differences in the rate of weight gain over time between participants receiving early vs deferred antiretroviral therapy (ART) treatment, low vs high baseline CD4 count and HIV RNA, and different classes of ART.Results
A total of 463 participants were identified, with mean CD4 cell count of 507 cells/?L and log HIV RNA of 5.0 copies/mL at study entry. There was no difference in the rate of weight gain between participants who did and did not receive ART within 96 weeks of incident HIV infection. Neither a baseline CD4 count of <350 cells/?L nor a baseline HIV RNA of >100 000 copies/mL was a predictor of weight gain. Compared with persons taking non-nucleoside reverse transcriptase inhibitor-based regimens, those who received integrase strand transfer inhibitor (INSTI)-based regimens showed greater weight gain over time.Conclusions
Neither baseline CD4 count and HIV RNA nor early ART was associated with weight change in the first 96 weeks following incident HIV infection. Use of INSTI-based regimens represented a major driver of weight gain in men who initiated ART with relatively higher CD4 cell counts.
SUBMITTER: Wu KS
PROVIDER: S-EPMC7813183 | biostudies-literature | 2021 Jan
REPOSITORIES: biostudies-literature
Open forum infectious diseases 20201228 1
<h4>Background</h4>The predictors of weight gain remain unclear in people with acute and early HIV infection (AEH).<h4>Methods</h4>Eligible antiretroviral-naïve men diagnosed with AEH from January 1, 2000, to December 31, 2019, were enrolled in an observational cohort study at the University California, San Diego. The study used multivariable mixed-effect linear regression models to analyze differences in the rate of weight gain over time between participants receiving early vs deferred antiretr ...[more]