• Login
    View Item 
    •   Mak IR Home
    • College of Health Sciences (CHS)
    • Infectious Diseases Institute (IDI)
    • Infectious Diseases Institute (IDI) Collections
    • View Item
    •   Mak IR Home
    • College of Health Sciences (CHS)
    • Infectious Diseases Institute (IDI)
    • Infectious Diseases Institute (IDI) Collections
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Evaluation of Dynabeads and Cytospheres Compared With Flow Cytometry to Enumerate CD41 T Cells in HIV-Infected Ugandans on Antiretroviral Therapy

    Thumbnail
    View/Open
    Lutwama+fred-idi-res1.pdf (181.1Kb)
    Date
    2008-07-01
    Author
    Lutwama, Fred
    Serwadda, Ronnie
    Mayanja-Kizza, Harriet
    Shihab, Hasan M.
    Ronald, Allan
    Kamya, Moses R.
    Thomas, David
    Johnson, Elizabeth
    Quinn, Thomas C.
    Moore, Richard D.
    Spacek, Lisa A.
    Metadata
    Show full item record
    Abstract
    Background: Laboratory-based monitoring of antiretroviral therapy is essential but adds a significant cost to HIV care. The World Health Organization 2006 guidelines support the use of CD4 lymphocyte count (CD4) to define treatment failure in resource-limited settings. Methods: We compared CD4 obtained on replicate samples from 497 HIV-positive Ugandans (before and during ART) followed for 18 months by 2 manual bead–based assays, Dynabeads (Dynal Biotech), and Cytospheres (Beckman Coulter) with those generated by flow cytometry at the Infectious Diseases Institute in Kampala, Uganda. Results: We tested 1671 samples (123 before ART) with Dynabeads and 1444 samples (91 before ART) with Cytospheres. Mean CD4 was 231 cells/mm3 (SD, 139) and 239 cells/mm3 (SD, 140) by Dynabeads and flow cytometry, respectively. Mean CD4 was 186 cells/mm3 (SD, 101) and 242 cells/mm3 (SD, 136) by Cytospheres and flow cytometry, respectively. The mean difference in CD4 count by flow cytometry versus Dynabeads were 8.8 cells/mm3 (SD, 76.0) and versus Cytospheres were 56.8 cells/mm3 (SD, 85.8). The limits of agreement were 2140.9 to 158.4 cells/mm3 for Dynabeads and 2112.2 to 225.8 cells/mm3 for Cytospheres. Linear regression analysis showed higher correlation between flow cytometry and Dynabeads (r = 0.85, r2 = 0.73, slope = 0.85, intercept = 28) compared with the correlation between flow cytometry and Cytospheres (r = 0.78, r2 = 0.60, slope = 0.58, intercept = 45). Area under the receiver operating characteristics curve to predict CD4 ,200 cells/mm3 was 0.928 for Dynabeads and 0.886 for Cytospheres. Conclusion: Although Dynabeads and Cytospheres both underestimated CD4 lymphocyte count compared with flow cytometry, in resource-limited settings with low daily throughput, manual bead– based assays may provide a less expensive alternative to flow cytometry.
    URI
    http://hdl.handle.net/10570/283
    Collections
    • Infectious Diseases Institute (IDI) Collections

    DSpace 5.8 copyright © Makerere University 
    Contact Us | Send Feedback
    Theme by 
    Atmire NV
     

     

    Browse

    All of Mak IRCommunities & CollectionsTitlesAuthorsBy AdvisorBy Issue DateSubjectsBy TypeThis CollectionTitlesAuthorsBy AdvisorBy Issue DateSubjectsBy Type

    My Account

    LoginRegister

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    DSpace 5.8 copyright © Makerere University 
    Contact Us | Send Feedback
    Theme by 
    Atmire NV