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Background and methodsThe SMART study compared 2 strategies for using antiretroviral therapy-drug conservation (DC) and viral suppression (VS)-in 5,472 human immunodeficiency virus (HIV)-infected patients with CD4+ cell counts >350 cells/microL. Rates and predictors of opportunistic disease or death (OD/death) and the relative risk (RR) in DC versus VS groups according to the latest CD4+ cell count and HIV RNA level are reported.ResultsDuring a mean of 16 months of follow-up, DC patients spent more time with a latest CD4+ cell count <350 cells/microL (for DC vs. VS, 31% vs. 8%) and with a latest HIV RNA level >400 copies/mL (71% vs. 28%) and had a higher rate of OD/death (3.4 vs. 1.3/100 person-years) than VS patients. For periods of follow- up with a CD4+ cell count <350 cells/microL, rates of OD/death were increased but similar in the 2 groups (5.7 vs. 4.6/100 person-years), whereas the rates were higher in DC versus VS patients (2.3 vs. 1.0/100 person-years; RR, 2.3 [95% confidence interval, 1.5-3.4]) for periods with the latest CD4+ cell count >or= 350 cells/microL-an increase explained by the higher HIV RNA levels in the DC group.ConclusionsThe higher risk of OD/death in DC patients was associated with (1) spending more follow-up time with relative immunodeficiency and (2) living longer with uncontrolled HIV replication even at higher CD4+ cell counts. Ongoing HIV replication at a given CD4+ cell count places patients at an excess risk of OD/death.

Original publication

DOI

10.1086/529523

Type

Journal

The Journal of infectious diseases

Publication Date

04/2008

Volume

197

Pages

1145 - 1155

Addresses

Copenhagen HIV Programme (CHIP), Faculty of Health Sciences, University of Copenhagen, Panum Institute, 2200 Copenhagen N, Denmark. jdl@cphiv.dk

Keywords

Strategies for Management of Antiretroviral Therapy (SMART) Study Group, Humans, HIV, AIDS-Related Opportunistic Infections, HIV Infections, RNA, Viral, Anti-HIV Agents, CD4 Lymphocyte Count, Treatment Outcome, Drug Administration Schedule, Proportional Hazards Models