Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2011 May;23(5):569-77.
doi: 10.1080/09540121.2010.525607.

Treatment switching in South Indian patients on HAART: what are the predictors and consequences?

Affiliations

Treatment switching in South Indian patients on HAART: what are the predictors and consequences?

Sara Chandy et al. AIDS Care. 2011 May.

Abstract

Early identification and management of treatment failure on highly active antiretroviral therapy (HAART) is crucial in maintaining a sustained response to therapy in HIV infection. However, HIV viral load (VL) and resistance testing, and second-line HAART regimens, are unaffordable to many patients in India, leaving them with limited treatment options. Predictors and reasons for antiretroviral switching, therefore, are likely to differ in settings of varying resources. A one-year, observational study of patients receiving antiretroviral therapy was conducted in a private, non-profit hospital in Bangalore. This paper examines the predictors and consequences of antiretroviral treatment switching in this setting and explores reasons for switching in a subset of patients. Data on demographics, drug regimens, adherence, and physical and psychosocial outcomes were collected quarterly. Tests of VL and CD4 cell counts were performed every six months. One-third of the patients switched therapy during the study period. Baseline predictors of switching included lower CD4 cell counts and more physical symptoms. Contrary to studies in other settings, a high VL did not predict treatment switching, and only a minority of those experiencing drug failure were switched to second-line regimens. Both groups (switchers and non-switchers) improved significantly over time with respect to CD4 counts and psychological well-being, and showed a reduction in physical and depressive symptoms. Any differences between the groups were no longer significant at the end of the study, once we controlled for baseline levels. Clinical, policy, and research implications of these findings are discussed within the context of resource-limited settings.

PubMed Disclaimer

Similar articles

Cited by

References

    1. Amico KR, Fisher WA, Cornman DH, Shuper PA, Redding CG, Konkle-Parker, et al. Visual analog scale of ART adherence: association with 3-day self report and adherence barriers. Journal of Acquired Immune Deficiency Syndrome. 2006;42(4):455–459. - PubMed
    1. Badri M, Lawn SD, Wood R. Utility of CD4 cell counts for early prediction of virological failure during antiretroviral therapy in a resource-limited setting. BMC Infectious Diseases. 2008;8:89. doi: 10.1186/1471-2334-8-89. - DOI - PMC - PubMed
    1. Beck AT, Ward CH, Mendelson M, Mock J, Erbaugh J. An inventory for measuring depression. Archives of General Psychiatry. 1961;4:561–571. - PubMed
    1. Bender MA, Kumarasamy N, Mayer KH, Wang B, Walensky RP, Flanigan T, et al. Cost-effectiveness of Tenofovir as first-line antiretroviral therapy in India. Clinical Infectious Diseases. 2010;50:416–425. doi: 10.1086/649884. - DOI - PMC - PubMed
    1. Burgoyne RW, Tan DH. Prolongation and quality of life for HIV-infected adults treated with highly active antiretroviral therapy (HAART): A balancing act. The Journal of Antimicrobial Chemotherapy. 2008;61:469–473. doi: 10.1093/jac/dkm499. - DOI - PubMed

Substances