ArticleCytometry. Part B, Clinical cytometry2017
Near patient CD4 count in a hospitalized HIV patient population.
Article in Cytometry. Part B, Clinical cytometry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed, 9 citations in OpenAlex.
- Transforming the Health Research Workforce in Mozambique: Achievements of the Mozambique Institute for Health Education and Research (MIHER) over a 13‑Year Journey.Annals of global health · 2024Article
- Assessment of POC CD4 Detecting Mode in District or County Labs - Jiangsu Province, China, 2021.China CDC weekly · 2022Article
- A flow-through cell counting assay for point-of-care enumeration of CD4 T-cells.Journal of virological methods · 2019Article
- Qualitative assessment of South African healthcare worker perspectives on an instrument-free rapid CD4 test.BMC health services research · 2019Article
- The Evolution of Mentorship Capacity Development in Low- and Middle-Income Countries: Case Studies from Peru, Kenya, India, and Mozambique.The American journal of tropical medicine and hygiene · 2019Article
- The Medical Education Partnership Initiative Effect on Increasing Health Professions Education and Research Capacity in Mozambique.Annals of global health · 2018Article
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 2 countries.
Funding
Abstract
backgroundPoint-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.
methodsForty 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.
resultsThe 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.
conclusionsThe 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.
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