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Optimizing Treatment for Human Immunodeficiency Virus to Improve Clinical Outcomes Using Precision Medicine.

Authors :
Jetsupphasuk, Michael
Hudgens, Michael G
Lu, Haidong
Cole, Stephen R
Edwards, Jessie K
Adimora, Adaora A
Althoff, Keri N
Silverberg, Michael J
Rebeiro, Peter F
Lima, Viviane D
Marconi, Vincent C
Sterling, Timothy R
Horberg, Michael A
Gill, M John
Kitahata, Mari M
Moore, Richard D
Lang, Raynell
Gebo, Kelly
Rabkin, Charles
Eron, Joseph J
Source :
American Journal of Epidemiology; Aug2023, Vol. 192 Issue 8, p1341-1349, 9p
Publication Year :
2023

Abstract

In first-line antiretroviral therapy (ART) for human immunodeficiency virus (HIV) treatment, some subgroups of patients may respond better to an efavirenz-based regimen than an integrase strand transfer inhibitor (InSTI)-based regimen, or vice versa, due to patient characteristics modifying treatment effects. Using data based on nearly 16,000 patients from the North American AIDS Cohort Collaboration on Research and Design from 2009–2016, statistical methods for precision medicine were employed to estimate an optimal treatment rule that minimizes the 5-year risk of the composite outcome of acquired immune deficiency syndrome (AIDS)-defining illnesses, serious non-AIDS events, and all-cause mortality. The treatment rules considered were functions that recommend either an efavirenz- or InSTI-based regimen conditional on baseline patient characteristics such as demographic information, laboratory results, and health history. The estimated 5-year risk under the estimated optimal treatment rule was 10.0% (95% confidence interval (CI): 8.6, 11.3), corresponding to an absolute risk reduction of 2.3% (95% CI: 0.9, 3.8) when compared with recommending an efavirenz-based regimen for all patients and 2.6% (95% CI: 1.0, 4.2) when compared with recommending an InSTI-based regimen for all. Tailoring ART to individual patient characteristics may reduce 5-year risk of the composite outcome compared with assigning all patients the same drug regimen. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00029262
Volume :
192
Issue :
8
Database :
Complementary Index
Journal :
American Journal of Epidemiology
Publication Type :
Academic Journal
Accession number :
169792510
Full Text :
https://doi.org/10.1093/aje/kwad057