Literature DB >> 18989232

CD4+ T-cell count monitoring does not accurately identify HIV-infected adults with virologic failure receiving antiretroviral therapy.

David M Moore1, Anna Awor, Robert Downing, Jonathan Kaplan, Julio S G Montaner, John Hancock, Willy Were, Jonathan Mermin.   

Abstract

BACKGROUND: CD4 T-lymphocyte (CD4) counts are widely used to monitor response to antiretroviral therapy (ART) in resource-limited settings. However, the utility of such monitoring in terms of predicting virologic response to therapy has been little studied.
METHODS: We studied participants aged 18 years and older who initiated ART in Tororo, Uganda. CD4 counts, CD4 percentages, and viral load (VL) were examined at 6-monthly intervals. Various definitions of immunologic failure were examined to identify individuals with VLs>or=50, >or=500, >or=1000, or >or=5000 copies per milliliter at 6, 12, and 18 months after treatment initiation.
RESULTS: One thousand sixty-three ART-naive persons initiated ART. The proportion of individuals with virologic failure ranged between 1.5% and 16.4% for each time point. The proportion with no increase in CD4 count from baseline did not differ between those with suppressed or unsuppressed VLs at 6, 18, and 24 months after ART initiation. No increase in CD4 cell counts at 6 months had a sensitivity of 0.04 [95% confidence interval (CI) 0.00 to 0.10] and a positive predictive value of 0.03 (95% CI 0.00 to 0.09) for identifying individuals with VL>or=500 copies per milliliter at 6 months. The best measure identified was an absolute CD4 cell count<125 cells per microliter at 21 months for predicting VL>or=500 copies per milliliter at 18 months which had a sensitivity of 0.13 (95% CI 0.01 to 0.21) and a positive predictive value of 0.29 (95% CI 0.10 to 0.44).
CONCLUSIONS: CD4 cell count monitoring does not accurately identify individuals with virologic failure among patients taking ART.

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Year:  2008        PMID: 18989232     DOI: 10.1097/QAI.0b013e318186eb18

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


  61 in total

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2.  On the front line of HIV virological monitoring: barriers and facilitators from a provider perspective in resource-limited settings.

Authors:  S E Rutstein; C E Golin; S B Wheeler; D Kamwendo; M C Hosseinipour; M Weinberger; W C Miller; A K Biddle; A Soko; M Mkandawire; R Mwenda; A Sarr; S Gupta; R Mataya
Journal:  AIDS Care       Date:  2015-08-17

3.  Viral load predicts new world health organization stage 3 and 4 events in HIV-infected children receiving highly active antiretroviral therapy, independent of CD4 T lymphocyte value.

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Journal:  Clin Infect Dis       Date:  2010-11-01       Impact factor: 9.079

4.  Early virologic failure and the development of antiretroviral drug resistance mutations in HIV-infected Ugandan children.

Authors:  Theodore D Ruel; Moses R Kamya; Pelin Li; William Pasutti; Edwin D Charlebois; Teri Liegler; Grant Dorsey; Philip J Rosenthal; Diane V Havlir; Joseph K Wong; Jane Achan
Journal:  J Acquir Immune Defic Syndr       Date:  2011-01-01       Impact factor: 3.731

5.  Extensive drug resistance in HIV-infected Cambodian children who are undetected as failing first-line antiretroviral therapy by WHO 2010 guidelines.

Authors:  Mia Coetzer; Benjamin Westley; Allison Delong; Chhraing Tray; Dim Sophearin; Eric Nerrienet; Leeann Schreier; Rami Kantor
Journal:  AIDS Res Hum Retroviruses       Date:  2013-04-27       Impact factor: 2.205

6.  Regional differences in rates of HIV-1 viral load monitoring in Canada: Insights and implications for antiretroviral care in high income countries.

Authors:  Janet M Raboud; Mona R Loutfy; DeSheng Su; Ahmed M Bayoumi; Marina B Klein; Curtis Cooper; Nima Machouf; Sean Rourke; Sharon Walmsley; Anita Rachlis; P Richard Harrigan; Marek Smieja; Christos Tsoukas; Julio S G Montaner; Robert S Hogg
Journal:  BMC Infect Dis       Date:  2010-02-25       Impact factor: 3.090

7.  Incident tuberculosis during antiretroviral therapy contributes to suboptimal immune reconstitution in a large urban HIV clinic in sub-Saharan Africa.

Authors:  Sabine M Hermans; Agnes N Kiragga; Petra Schaefer; Andrew Kambugu; Andy I M Hoepelman; Yukari C Manabe
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8.  A cluster randomized trial of routine HIV-1 viral load monitoring in Zambia: study design, implementation, and baseline cohort characteristics.

Authors:  John R Koethe; Andrew O Westfall; Dora K Luhanga; Gina M Clark; Jason D Goldman; Priscilla L Mulenga; Ronald A Cantrell; Benjamin H Chi; Isaac Zulu; Michael S Saag; Jeffrey S A Stringer
Journal:  PLoS One       Date:  2010-03-12       Impact factor: 3.240

9.  Identifying individuals with virologic failure after initiating effective antiretroviral therapy: The surprising value of mean corpuscular hemoglobin in a cross-sectional study.

Authors:  Bryan Lau; Geetanjali Chander; Stephen J Gange; Richard D Moore
Journal:  AIDS Res Ther       Date:  2010-07-23       Impact factor: 2.250

10.  Host sequence motifs shared by HIV predict response to antiretroviral therapy.

Authors:  William Dampier; Perry Evans; Lyle Ungar; Aydin Tozeren
Journal:  BMC Med Genomics       Date:  2009-07-23       Impact factor: 3.063

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