Literature DB >> 15905742

Predictors of low CD4 count in resource-limited settings: based on an antiretroviral-naive heterosexual thai population.

Caroline Costello1, Kenrad E Nelson, Denise J Jamieson, Lisa Spacek, Supaluk Sennun, Sodsai Tovanabutra, Kittipong Rungruengthanakit, Vinai Suriyanon, Ann Duerr.   

Abstract

A barrier to the appropriate provision of antiretroviral therapy to treat immunosuppressed HIV-infected persons in resource-poor countries is identifying who requires treatment. The World Health Organization (WHO) has suggested using a clinical algorithm combined with a total lymphocyte count (TLC) < 1200 cells/mm as a surrogate for a CD4 count less than 200 cells/mm when it is not possible to measure the CD4 count. We evaluated various TLC levels, anemia, and body mass index and compared our data with the WHO criteria to develop a more sensitive algorithm to predict CD4 counts of < 200 cells/mm and < 350 cells/mm in 839 men and women from Thailand infected with HIV-1 subtype E (CRF01_AE). The December 2003 WHO guidelines had a sensitivity of 34.1% in men and 31.8% in women to detect persons with a CD4 count < 200 cells/mm in this HIV-infected population from Thailand. The use of a TLC < 1500 cells/mm or TLC < 2000 cells/mm combined with anemia or WHO stage II infection doubled the sensitivity to detect persons with a CD4 count < 200 (63.0% in men, 68.2% in women) with less than a 6% decrease in specificity.

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Year:  2005        PMID: 15905742

Source DB:  PubMed          Journal:  J Acquir Immune Defic Syndr        ISSN: 1525-4135            Impact factor:   3.731


  3 in total

1.  An Evaluation of Alternative Markers to Guide Initiation of Anti-retroviral Therapy in HIV-Infected Children in Settings where CD4 Assays are not Available.

Authors:  Minke H W Huibers; Peter Moons; Nelson Maseko; Montfort B Gushu; Ferdinand W Wit; Steve M Graham; Michael Boele van Hensbroek; Job C Calis
Journal:  J Trop Pediatr       Date:  2015-10-21       Impact factor: 1.165

2.  Validation of World Health Organisation HIV/AIDS clinical staging in predicting initiation of antiretroviral therapy and clinical predictors of low CD4 cell count in Uganda.

Authors:  Steven Baveewo; Francis Ssali; Charles Karamagi; Joan N Kalyango; Judith A Hahn; Kenneth Ekoru; Peter Mugyenyi; Elly Katabira
Journal:  PLoS One       Date:  2011-05-12       Impact factor: 3.240

3.  Predictors of multidrug- and extensively drug-resistant tuberculosis in a high HIV prevalence community.

Authors:  Jason R Andrews; N Sarita Shah; Darren Weissman; Anthony P Moll; Gerald Friedland; Neel R Gandhi
Journal:  PLoS One       Date:  2010-12-29       Impact factor: 3.240

  3 in total

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