Evidence map›Paper›PMID 32522235›Full record

ArticleAIDS research and therapy2020

Assessment of two POC technologies for CD4 count in Morocco.

Elmir Elharti, Halima Abbadi, Rajae Bensghir, Kamal Marhoum El Filali, Hajar Elmrabet, Hicham Oumzil

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Article in AIDS research and therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Elmir ElhartiNational Reference Laboratory for HIV, Department of Virology, National Institute of Hygiene, Rabat, Morocco. elhartie@yahoo.fr.
Halima AbbadiNational Reference Laboratory for HIV, Department of Virology, National Institute of Hygiene, Rabat, Morocco.
Rajae BensghirInfectious Diseases Clinic, Ibn Rochd University Hospital Center, Casablanca, Morocco.
Kamal Marhoum El FilaliInfectious Diseases Clinic, Ibn Rochd University Hospital Center, Casablanca, Morocco.
Hajar ElmrabetNational Reference Laboratory for HIV, Department of Virology, National Institute of Hygiene, Rabat, Morocco.
Hicham OumzilNational Reference Laboratory for HIV, Department of Virology, National Institute of Hygiene, Rabat, Morocco.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the era of "test and treat strategy", CD4 testing remains an important tool for monitoring HIV-infected individuals. Since conventional methods of CD4 count measurement are costly and cumbersome, POC CD4 counting technique are more affordable and practical for countries with limited resources. Before introducing such methods in Morocco, we decided to assess their reliability.

methodsIn this study 92 blood samples from HIV-infected patients, were tested by PIMA and FACSPresto to derive CD4 count. Flow cytometry using FacsCalibur, was used as reference method for CD4 count comparison. Linear regression, Bland-Altman analysis were performed to assess correlation and agreement between these POC methods and the reference method. In addition, sensitivity and specificity, positive predictive value (PPV), negative predictive value (NPV) and misclassification percentage at 350 and 200 CD4 count thresholds; were also determined. Finally, because FACSPresto can also measure hemoglobin (Hb) concentration, 52 samples were used to compare FACSPresto against an automated hematology analyzer.

resultsThe coefficient of determination R

conclusionWhen compared to the reference method, PIMA and FACSPresto have shown good performance, for CD4 counting. The introduction of such POC technology will speed up the uptake of patients in the continuum of HIV care, in our country.

Indexed as

Flow CytometryPoint-of-Care TestingAutomation, LaboratoryCD4 Lymphocyte CountCD4-Positive T-LymphocytesHIV InfectionsHumansMoroccoReproducibility of ResultsSensitivity and SpecificityCD4 countFACSPrestoHIV managementHIV monitoringMoroccoPIMAPOC

Identifiers

PMID32522235
PMCPMC7285615

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