Comparison of capillary based microflurometric assay for CD4+ T cell count estimation with dual platform Flow cytometry

<p>Abstract</p> <p>The CD4+ T cell count estimation is an important monitoring tool for HIV disease progression and efficacy of anti-retroviral treatment (ART). Due to availability of ART at low cost in developing countries, quest for reliable cost effective alternative methods for...

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Bibliographic Details
Main Authors: Mehendale Sanjay M, Mahajan Bharati A, Kumar B Kishore, Thakar Madhuri R, Paranjape Ramesh S
Format: Article
Language:English
Published: BMC 2006-10-01
Series:AIDS Research and Therapy
Online Access:http://www.aidsrestherapy.com/content/3/1/26
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Summary:<p>Abstract</p> <p>The CD4+ T cell count estimation is an important monitoring tool for HIV disease progression and efficacy of anti-retroviral treatment (ART). Due to availability of ART at low cost in developing countries, quest for reliable cost effective alternative methods for CD4+ T cell count estimation has gained importance. A simple capillary-based microflurometric assay (EasyCD4 System, Guava Technology) was compared with the conventional flow cytometric assay for estimation of CD4+ T cell counts in 79 HIV infected individuals. CD4+ T cell count estimation by both the assays showed strong correlation (r = 0.938, p < 0.001, 95% CI 0.90 to 0.96). The Bland Altman plot analysis showed that the limits of variation were within agreeable limits of ± 2SD (-161 to 129 cells/mm<sup>3</sup>). The Easy CD4 assay showed 100% sensitivity for estimating the CD4+ T cell counts < 200 cells/mm<sup>3 </sup>and < 350 cells/mm<sup>3 </sup>and 97% sensitivity to estimate CD4+ T cell count < 500 cells/mm<sup>3</sup>. The specificity ranged from 82 to 100%. The Kappa factor ranged from 0.735 for the CD4+ T cell counts < 350 cells/mm<sup>3 </sup>to 0.771 for < 500 cells/mm<sup>3 </sup>CD4+ T cell counts. The system works with a simple protocol, is easy to maintain and has low running cost. The system is compact and generates minimum amount of waste. Hence the EasyCD4 System could be applied for estimation of CD4+ T cell counts in resource poor settings.</p>
ISSN:1742-6405