Literature DB >> 17961109

Predicting CD4 lymphocyte count <200 cells/mm(3) in an HIV type 1-infected African population.

Susan C Morpeth1, John A Crump, Humphrey J Shao, Habib O Ramadhani, Peter R Kisenge, Cindy A Moylan, Susanna Naggie, L Brett Caram, Keren Z Landman, Noel E Sam, Dafrosa K Itemba, John F Shao, John A Bartlett, Nathan M Thielman.   

Abstract

Clinical criteria are recommended to select HIV-infected patients for initiation of antiretroviral therapy when CD4 lymphocyte testing is unavailable. We evaluated the performance characteristics of WHO staging criteria, anthropometrics, and simple laboratory measurements for predicting CD4 lymphocyte count (CD4 count) <200 cells/mm(3) among HIV-infected patients in Tanzania. A total of 202 adults, diagnosed with HIV infection through community-based testing, underwent a detailed evaluation including staging history and examination, anthropometry, complete blood count, erythrocyte sedimentation rate (ESR), and CD4 count. Univariable analysis and recursive partitioning were used to identify characteristics associated with CD4 count 200 cells/mm(3). Of 202 participants 109 (54%) had a CD4 count <200 cells/mm(3). Characteristics most strongly associated with CD4 count <200 cells/mm(3) (p-value <0.0001) were the presence of mucocutaneous manifestations (72% vs. 28%), lower total lymphocyte count (TLC) (median 1,450 vs. 2,200 cells/mm(3)), lower total white blood cell count (median 4,200 vs. 5,500 cells/mm(3)), and higher ESR (median 95 vs. 53 mm/h). In a partition tree model, TLC <1,200 cells/mm(3), ESR >or=120 mm/h, or the presence of mucocutaneous manifestations yielded a sensitivity of 0.85 and specificity of 0.63 for predicting CD4 count <200 cells/mm(3). The sensitivity of the 2006 WHO Staging system improved from 0.75 to 0.93 with inclusion of these parameters, at the expense of specificity (0.36 to 0.26). The presence of mucocutaneous manifestations, TLC <1,200 cells/mm(3), or ESR >or=120 mm/h was a strong predictor of CD4 count <200 cells/mm(3) and enhanced the sensitivity of the 2006 WHO staging criteria for identifying patients likely to benefit from antiretrovirals.

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Year:  2007        PMID: 17961109     DOI: 10.1089/aid.2007.0053

Source DB:  PubMed          Journal:  AIDS Res Hum Retroviruses        ISSN: 0889-2229            Impact factor:   2.205


  9 in total

1.  A Study of Alternate Biomarkers in HIV Disease and Evaluating their Efficacy in Predicting T CD4+ Cell Counts and Disease Progression in Resource Poor Settings in Highly Active Antiretroviral Therapy (HAART) Era.

Authors:  K V Ramana; V Sabitha; Ratna Rao
Journal:  J Clin Diagn Res       Date:  2013-07-01

2.  Initiation of antiretroviral therapy in HIV-infected adults with skin complaints in northern Tanzania.

Authors:  Daudi R Mavura; E John Masenga; Eli Minja; Henning Grossmann; John A Crump; John A Bartlett
Journal:  Int J Dermatol       Date:  2014-09-26       Impact factor: 2.736

3.  The erythrocyte sedimentation rate in HIV: a neglected parameter?

Authors:  David M Lowe
Journal:  AIDS       Date:  2010-11-27       Impact factor: 4.177

4.  Effect of trimethoprim-sulfamethoxazole prophylaxis on antimicrobial resistance of fecal Escherichia coli in HIV-infected patients in Tanzania.

Authors:  Susan C Morpeth; Nathan M Thielman; Habib O Ramadhani; John D Hamilton; Jan Ostermann; Peter R Kisenge; Humphrey J Shao; L Barth Reller; Dafrosa K Itemba; Noel E Sam; John A Bartlett; John F Shao; John A Crump
Journal:  J Acquir Immune Defic Syndr       Date:  2008-04-15       Impact factor: 3.731

5.  Correlation of CD4+ T cell Count with Total Lymphocyte Count, Haemoglobin and Erythrocyte Sedimentation Rate Levels in Human Immunodeficiency Virus Type-1 Disease.

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6.  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
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Review 7.  Diagnostic accuracy of the WHO clinical staging system for defining eligibility for ART in sub-Saharan Africa: a systematic review and meta-analysis.

Authors:  Chigomezgo Munthali; Miriam Taegtmeyer; Paul G Garner; David G Lalloo; S Bertel Squire; Elizabeth L Corbett; Nathan Ford; Peter MacPherson
Journal:  J Int AIDS Soc       Date:  2014-06-12       Impact factor: 5.396

8.  Evaluation of Individual and Combined Markers of Urine Dipstick Parameters and Total Lymphocyte Count as a Substitute for CD4 Count in Low-Resource Communities in Ghana.

Authors:  Enoch Odame Anto; Christian Obirikorang; Emmanuel Acheampong; Bright Amankwaa; Bright Oppong Afranie; Sampson Donkor; Isaac Hope; Juliana Jommo; Esther Osaah
Journal:  Dis Markers       Date:  2018-02-11       Impact factor: 3.434

9.  Prediction of CD4 T-Lymphocyte Count Using WHO Clinical Staging among ART-Naïve HIV-Infected Adolescents and Adults in Northern Ethiopia: A Retrospective Study.

Authors:  Abraham Desta Aregay; Kibriti Mehari Kidane; Asfawosen Berhe Aregay; Kiros Ajemu Fenta; Ataklti Gebretsadik Woldegebriel; Hagos Godefay; Tewolde Wubayehu Woldearegay
Journal:  AIDS Res Treat       Date:  2020-04-30
  9 in total

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