Literature DB >> 15247555

Absolute CD4 vs. CD4 percentage for predicting the risk of opportunistic illness in HIV infection.

Kelly A Gebo1, Joel E Gallant, Jeanne C Keruly, Richard D Moore.   

Abstract

Current guidelines recommend consideration of CD4 cell percentage as well as CD4 cell count in therapeutic decisions. The relative value of CD4 cell count compared with CD4 cell percentage in predicting risk of AIDS-defining illnesses (ADIs) in the post-HAART (highly active antiretroviral therapy) era is unknown. Data from an observational clinical cohort of adult HIV-infected patients were used to assess the risk of developing an ADI associated with specific absolute CD4 counts (CD4) and CD4%'s (CD4%) using all CD4-CD4% pairs obtained after January 1996. The incidence of developing an ADI was assessed over a maximum of 6 months after the CD4-CD4% pair was obtained. Using multivariable negative binomial regression, the incidence rate ratio (IRR) for developing an ADI by CD4 and CD4% categories was computed. A total of 15,736 CD4-CD4% pairs from 2185 patients who developed 608 ADIs was analyzed. The IRR for developing an ADI by absolute CD4 was 17.9 (95% CI: 13.2, 24.4) events/100 person-years for <50 cells/mm, 6.2 (95% CI: 4.4, 7.9) for 50-100 cells/mm, and 2.7 (95% CI: 1.9, 4.0) for 100-200 cells/mm, compared with the referent stratum of 200-350 cells/mm. Without adjustment for absolute CD4, the IRR was 14.4 (95% CI: 9.3,22.6) for CD4% <7%, 3.7 (95% CI: 2.4,5.9) for 7-14%, 1.9 (95% CI: 1.1, 3.1) for 15-21%, compared with the referent stratum of >21%. However, in a multivariable analysis adjusting for absolute CD4, CD4%, and other clinical and demographic variables, the absolute CD4 but not the CD4% was associated strongly with developing an ADI. The results suggest that CD4% adds little further predictive information after accounting for the absolute CD4 count for the short-term risk of developing an ADI. The absolute CD4 count is the more important measure of immune status and is preferred over the CD4% for making treatment decisions in HIV-infected adults.

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Year:  2004        PMID: 15247555     DOI: 10.1097/00126334-200408150-00005

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


  12 in total

1.  Misclassification of first-line antiretroviral treatment failure based on immunological monitoring of HIV infection in resource-limited settings.

Authors:  Rami Kantor; Lameck Diero; Allison Delong; Lydia Kamle; Sarah Muyonga; Fidelis Mambo; Eunice Walumbe; Wilfred Emonyi; Philip Chan; E Jane Carter; Joseph Hogan; Nathan Buziba
Journal:  Clin Infect Dis       Date:  2009-08-01       Impact factor: 9.079

2.  CD4 count outperforms World Health Organization clinical algorithm for point-of-care HIV diagnosis among hospitalised HIV-exposed Malawian infants.

Authors:  Madalitso Maliwichi; Nora E Rosenberg; Rebekah Macfie; Dan Olson; Irving Hoffman; Charles M van der Horst; Peter N Kazembe; Mina C Hosseinipour; Eric D McCollum
Journal:  Trop Med Int Health       Date:  2014-04-23       Impact factor: 2.622

3.  Discordance between CD4+ T-lymphocyte counts and percentages in HIV-infected persons with liver fibrosis.

Authors:  Cassidy W Claassen; Marie Diener-West; Shruti H Mehta; David L Thomas; Gregory D Kirk
Journal:  Clin Infect Dis       Date:  2012-03-28       Impact factor: 9.079

4.  Estimates of opportunistic infection incidence or death within specific CD4 strata in HIV-infected patients in Abidjan, Côte d'Ivoire: impact of alternative methods of CD4 count modelling.

Authors:  Sylvie Deuffic-Burban; Elena Losina; Bingxia Wang; Delphine Gabillard; Eugène Messou; Nomita Divi; Kenneth A Freedberg; Xavier Anglaret; Yazdan Yazdanpanah
Journal:  Eur J Epidemiol       Date:  2007-09-08       Impact factor: 8.082

5.  CD4 count slope and mortality in HIV-infected patients on antiretroviral therapy: multicohort analysis from South Africa.

Authors:  Christopher J Hoffmann; Michael Schomaker; Matthew P Fox; Portia Mutevedzi; Janet Giddy; Hans Prozesky; Robin Wood; Daniela B Garone; Matthias Egger; Andrew Boulle
Journal:  J Acquir Immune Defic Syndr       Date:  2013-05-01       Impact factor: 3.731

6.  Lopinavir/ritonavir versus darunavir plus ritonavir for HIV infection: a cost-effectiveness analysis for the United States.

Authors:  Kit N Simpson; Pamela P Pei; Jörgen Möller; Robert W Baran; Birgitta Dietz; William Woodward; Kristen Migliaccio-Walle; J Jaime Caro
Journal:  Pharmacoeconomics       Date:  2013-05       Impact factor: 4.558

7.  Predicting AIDS-related events using CD4 percentage or CD4 absolute counts.

Authors:  Yasmin Pirzada; Sadik Khuder; Haig Donabedian
Journal:  AIDS Res Ther       Date:  2006-08-17       Impact factor: 2.250

8.  The Impact of Absolute CD4 Count and Percentage Discordance on Pneumocystis Jirovecii Pneumonia Prophylaxis in HIV-Infected Patients.

Authors:  Henry Anyimadu; Chandra Pingili; Vel Sivapalan; Yael Hirsch-Moverman; Sharon Mannheimer
Journal:  J Int Assoc Provid AIDS Care       Date:  2018 Jan-Dec

9.  Accurate and reproducible enumeration of T-, B-, and NK lymphocytes using the BD FACSLyric 10-color system: A multisite clinical evaluation.

Authors:  Imelda Omana-Zapata; Caren Mutschmann; John Schmitz; Sarah Gibson; Kevin Judge; Monika Aruda Indig; Beverly Lu; Doreen Taufman; Alan M Sanfilippo; Wendy Shallenberger; Sharon Graminske; Rachel McLean; Rubal I Hsen; Nicole d'Empaire; Kimberly Dean; Maurice O'Gorman
Journal:  PLoS One       Date:  2019-01-28       Impact factor: 3.240

10.  CD4:CD8 Ratio and CD8 Count as Prognostic Markers for Mortality in Human Immunodeficiency Virus-Infected Patients on Antiretroviral Therapy: The Antiretroviral Therapy Cohort Collaboration (ART-CC).

Authors:  Adam Trickey; Margaret T May; Philipp Schommers; Jan Tate; Suzanne M Ingle; Jodie L Guest; M John Gill; Robert Zangerle; Mike Saag; Peter Reiss; Antonella d'Arminio Monforte; Margaret Johnson; Viviane D Lima; Tim R Sterling; Matthias Cavassini; Linda Wittkop; Dominique Costagliola; Jonathan A C Sterne
Journal:  Clin Infect Dis       Date:  2017-09-15       Impact factor: 9.079

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