Literature DB >> 25917935

Near patient CD4 count in a hospitalized HIV patient population.

Monique Givens1, Amanda Weaver1, Sarah Bickman1, Cathy Logan2, Emilia V Noormahomed2,3, Sam Patel3,4, Robert T Schooley3, Constance A Benson3, Michael J Lochhead1.   

Abstract

BACKGROUND: Point-of-care (POC) CD4 T-cell counting is increasingly recognized as providing improved linkage-to-care during management of HIV infection, particularly in resource-limited settings where disease burden is highest. This study evaluated prototype POC CD4 T-cell counters from MBio Diagnostics in the context of low CD4 count, hospitalized patients in Mozambique. This study measured system performance when presented with challenging, low count samples from HIV/AIDS patients with acute illnesses resulting in hospitalization.
METHODS: Forty whole blood samples were collected from donors on the medical service at Maputo Central Hospital and absolute CD4 counts were generated on the MBio CD4 system and a reference laboratory using flow cytometry.
RESULTS: The mean and median CD4 counts by the flow cytometry reference were 173 and 80 cells/µL, respectively. Correlation between the MBio CD4 System and the reference was good. Bland-Altman analysis showed a mean bias of +15 cells/µL (+9 to +21 cells/µL, 95% CI), and limits of agreement of -47 to 77 cells/µL. For samples with counts >100 cells/µL (N = 14), the mean coefficient of variation was 7.3%. For samples with counts <50 cells/µL, mean absolute bias of replicate samples was 4.8 cells/µL. When two MBio readers were compared, Bland-Altman bias was -4 cells/µL (-13 to +6 cells/µL, 95% CI), and limits of agreement of -63 and +55 cells/µL.
CONCLUSIONS: The MBio System holds promise as a POC system for quantitation of CD4 T cells in resource-limited settings given system throughput (80-100 cartridges/day), design simplicity, and ease-of-use.
© 2015 International Clinical Cytometry Society. © 2015 International Clinical Cytometry Society.

Entities:  

Keywords:  CD4; HIV; T-cell; diagnostic; point-of-care

Mesh:

Substances:

Year:  2015        PMID: 25917935      PMCID: PMC5595587          DOI: 10.1002/cyto.b.21248

Source DB:  PubMed          Journal:  Cytometry B Clin Cytom        ISSN: 1552-4949            Impact factor:   3.058


  11 in total

1.  Effect of point-of-care CD4 cell count tests on retention of patients and rates of antiretroviral therapy initiation in primary health clinics: an observational cohort study.

Authors:  Ilesh V Jani; Nádia E Sitoe; Eunice R Alfai; Patrina L Chongo; Jorge I Quevedo; Beatriz M Rocha; Jonathan D Lehe; Trevor F Peter
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2.  Rapid multiplexed immunoassay for simultaneous serodiagnosis of HIV-1 and coinfections.

Authors:  Michael J Lochhead; Kathryn Todorof; Marie Delaney; Jeffrey T Ives; Charles Greef; Kevin Moll; Keagan Rowley; Kurt Vogel; Chris Myatt; Xing-Quan Zhang; Cathy Logan; Constance Benson; Sharon Reed; Robert T Schooley
Journal:  J Clin Microbiol       Date:  2011-08-24       Impact factor: 5.948

3.  Accurate CD4 T-cell enumeration and antiretroviral drug toxicity monitoring in primary healthcare clinics using point-of-care testing.

Authors:  Ilesh V Jani; Nádia E Sitoe; Patrina L Chongo; Eunice R Alfai; Jorge I Quevedo; Ocean Tobaiwa; Jonathan D Lehe; Trevor F Peter
Journal:  AIDS       Date:  2011-03-27       Impact factor: 4.177

Review 4.  Emerging technologies for point-of-care CD4 T-lymphocyte counting.

Authors:  David S Boyle; Kenneth R Hawkins; Matthew S Steele; Mitra Singhal; Xuanhong Cheng
Journal:  Trends Biotechnol       Date:  2011-07-26       Impact factor: 19.536

5.  Performance evaluation of the MBio Diagnostics point-of-care CD4 counter.

Authors:  Cathy Logan; Monique Givens; Jeffrey T Ives; Marie Delaney; Michael J Lochhead; Robert T Schooley; Constance A Benson
Journal:  J Immunol Methods       Date:  2012-10-11       Impact factor: 2.303

Review 6.  Challenges in implementing CD4 testing in resource-limited settings.

Authors:  Trevor Peter; Anne Badrichani; Emily Wu; Richard Freeman; Bekezela Ncube; Fabiana Ariki; Jennifer Daily; Yoko Shimada; Maurine Murtagh
Journal:  Cytometry B Clin Cytom       Date:  2008       Impact factor: 3.058

Review 7.  HIV in the tropics: staging in the resource-limited setting.

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Review 8.  Tracking the progress of HIV: the impact of point-of-care tests on antiretroviral therapy.

Authors:  Steven D Reid; Sarah J Fidler; Graham S Cooke
Journal:  Clin Epidemiol       Date:  2013-09-26       Impact factor: 4.790

Review 9.  Point of Care Technologies for HIV.

Authors:  Mohan Kumar Haleyur Giri Setty; Indira K Hewlett
Journal:  AIDS Res Treat       Date:  2014-01-21

Review 10.  Impact of point-of-care CD4 testing on linkage to HIV care: a systematic review.

Authors:  Elke Wynberg; Graham Cooke; Amir Shroufi; Steven D Reid; Nathan Ford
Journal:  J Int AIDS Soc       Date:  2014-01-20       Impact factor: 5.396

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  2 in total

1.  A flow-through cell counting assay for point-of-care enumeration of CD4 T-cells.

Authors:  Simon Bystryak; Rajiv P Bandwar; Rasa Santockyte
Journal:  J Virol Methods       Date:  2019-05-28       Impact factor: 2.014

2.  The Evolution of Mentorship Capacity Development in Low- and Middle-Income Countries: Case Studies from Peru, Kenya, India, and Mozambique.

Authors:  Emilia Noormahomed; Pamela Williams; Andrés G Lescano; Tony Raj; Elizabeth A Bukusi; Robert T Schooley; Craig R Cohen
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