Publication Details

AFRICAN RESEARCH NEXUS

SHINING A SPOTLIGHT ON AFRICAN RESEARCH

medicine

Predictors of Virological Failure and Time to Viral Suppression of First-Line Integrase Inhibitor-Based Antiretroviral Treatment

Clinical Infectious Diseases, Volume 73, No. 7, Year 2021

Background: Integrase strand transfer inhibitors (InSTIs) are recommended for first-line treatment of persons with human immunodeficiency virus (HIV). We identified risk factors, including baseline minor InSTI resistance mutations, for treatment failure of InSTI-based regimens. Methods: We studied time-to-treatment failure and time to viral suppression among 1419 drug-naive patients in the Swiss HIV Cohort Study. We performed Cox regression models adjusted for demographic factors, baseline HIV RNA/CD4 cell counts, AIDS-defining events, and the type of InSTI. In 646 patients with a baseline genotypic resistance test of the integrase, we studied the impact of minor integrase resistance mutations. Results: We observed 121 virological failures during 18 447 person-years of follow-up. A baseline viral load ≥100 000 copies/mL (multivariable hazard ratio [mHR], 2.2; 95% confidence interval [CI], 1.3-3.6) and an AIDS-defining event (mHR, 1.8; 95% CI. 1.1-3.0) were associated with treatment failure. CD4 counts between 200 and 500 cells/μL (mHR, 0.5; 95% CI,. 3-.8) and >500 cells/μL (mHR, 0.4; 95% CI,. 2-.7) were protective. Time to suppression was shorter in lower viral load strata (mHR, 0.7; 95% CI,. 6-.8) and in dolutegravir-based therapy (mHR, 1.2; 95% CI, 1.0-1.4). Minor resistance mutations were found at baseline in 104 of 646 (16%) patients with no effect on treatment outcome. Conclusions: Factors associated with treatment failure on InSTI-based first-line regimen remained similar to those of older treatments, in particular high viral load and low CD4 counts. © 2020 The Author(s). Published by Oxford University Press for the Infectious Diseases Society of America.

Statistics
Citations: 18
Authors: 57
Affiliations: 9
Identifiers
Research Areas
Environmental
Infectious Diseases
Study Design
Cohort Study
Study Approach
Quantitative