Publication Cover
AIDS Care
Psychological and Socio-medical Aspects of AIDS/HIV
Volume 25, 2013 - Issue 2
229
Views
13
CrossRef citations to date
0
Altmetric
ORIGINAL ARTICLES

Prospective prediction of viral suppression and immune response nine months after ART initiation in Seattle, WA

, &
Pages 181-185 | Received 02 Nov 2011, Accepted 16 Apr 2012, Published online: 29 May 2012
 

Abstract

Knowing at antiretroviral therapy (ART) initiation which patients might be at greatest risk for failure to achieve viral suppression would enable providers to target patients most in need and tailor their care appropriately. This study involved multilevel modeling of data from a randomized controlled trial among outpatients in Seattle, WA, USA. The 224 participants initiating or switching ART at baseline were 24% female, 34% heterosexual, and 47% Caucasian. Of 24 baseline demographic and psychosocial patient-level variables modeled in separate generalized estimating equations, only employment predicted changes in HIV-1 RNA viral load or CD4 lymphocyte count over the course of the 9-month trial. Although the findings require replication, they suggest adherence support strategies should emphasize close monitoring and support for all patients initiating ART.

Acknowledgements

This research was supported by the University of Washington Center for AIDS Research (CFAR), an NIH funded program (P30 AI0,27,757), and by the National Institute of Mental Health (K24 MH0,93,243).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 464.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.