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      Performance evaluation of BD FACSPresto point of care CD4 analyzer to enumerate CD4 counts for monitoring HIV infected individuals in Nigeria

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          Abstract

          Background

          Despite the upsurge in support and intervention of donor agencies in HIV care and treatment programing in Sub-Sahara African, antiretroviral (ART) programs are still confronted with access and coverage challenges which influence enrolment of new patients. This study investigated the validity of point of care BD FACSPresto CD4 analyzer for CD4+ cell count, overall agreement, correlation, sensitivity, and specificity in comparison to a reference standard flow cytometry method. We also assessed the feasibility of use among non-laboratorians.

          Methods

          Blood samples from 300 HIV infected individuals were analyzed for CD4+ T cell and CD4%, using finger prick capillary sample from 150 PMTCT clients and 150 ART clients at Murtala Mohammed Specialist Hospital, Kano, Nigeria. Their venous samples were compared on a flow cytometry reference method using BD FACSCount CD4+ count system. The accuracy of the BD FACSPresto machine in comparison to BD FACSCount was evaluated. Statistical analysis was carried out using STATA (version 12). Bland-Altman method and correlation analysis were used to analyze agreement between both measurements. In addition, sensitivity and specificity of both measurements were determined. Statistical significance was set at p-value <0.05.

          Results

          The mean bias and limit of agreement for CD4+ count between BD FACSPresto and BD FACS count machine were 7.49 (95% CI: 2.44 to 12.54) and -8.14 to 96.39 respectively. Further analysis revealed close agreement between BD FACSPresto and BD FACSCount with no significant difference between the two methods (p = .0.95). Using a threshold of 500 cells/μL, sensitivity and specificity of BD FACSPresto were 95.1% and 97.1% respectively, compared to BD FACSCount. There was no statistically significant difference in the misclassification between BD FACSPresto and BD FACSCount results (p = 0.23). Furthermore, sensitivity and specificity were similar when BD FACSPresto machine was operated by a nurse or laboratory scientist, there was no substantial difference in testing variability observed between laboratory and non-laboratory operators using the BD FACSPresto analyzer.

          Conclusions

          Overall, BD FACSPresto Point of Care CD4+ count finger stick capillary blood results is a reliable method in comparison to venous sample cytometry method and no significant difference variability observed between laboratory personnel and non-laboratory operators. The BD FACSPresto is simple, more robust and easy to use equipment without significant variability in reliability by non-laboratory health care workers hence will be a valuable instrument in increasing access and coverage of CD4 estimations in developing countries. The introduction of the BD FACSPresto POC analyzer has a high potential in reducing patients waiting time and improving the overall quality of ART service and clients’ satisfaction especially in rural settings.

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          Most cited references17

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          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.

          Loss to follow-up of HIV-positive patients before initiation of antiretroviral therapy can exceed 50% in low-income settings and is a challenge to the scale-up of treatment. We implemented point-of-care counting of CD4 cells in Mozambique and assessed the effect on loss to follow-up before immunological staging and treatment initiation. In this observational cohort study, data for enrolment into HIV management and initiation of antiretroviral therapy were extracted retrospectively from patients' records at four primary health clinics providing HIV treatment and point-of-care CD4 services. Loss to follow-up and the duration of each preparatory step before treatment initiation were measured and compared with baseline data from before the introduction of point-of-care CD4 testing. After the introduction of point-of-care CD4 the proportion of patients lost to follow-up before completion of CD4 staging dropped from 57% (278 of 492) to 21% (92 of 437) (adjusted odds ratio [OR] 0·2, 95% CI 0·15-0·27). Total loss to follow-up before initiation of antiretroviral treatment fell from 64% (314 of 492) to 33% (142 of 437) (OR 0·27, 95% CI 0·21-0·36) and the proportion of enrolled patients initiating antiretroviral therapy increased from 12% (57 of 492) to 22% (94 of 437) (OR 2·05, 95% CI 1·42-2·96). The median time from enrolment to antiretroviral therapy initiation reduced from 48 days to 20 days (p<0·0001), primarily because of a reduction in the median time taken to complete CD4 staging, which decreased from 32 days to 3 days (p<0·0001). Loss to follow-up between staging and antiretroviral therapy initiation did not change significantly (OR 0·84, 95% CI 0·49-1·45). Point-of-care CD4 testing enabled clinics to stage patients rapidly on-site after enrolment, which reduced opportunities for pretreatment loss to follow-up. As a result, more patients were identified as eligible for and initiated antiretroviral treatment. Point-of-care testing might therefore be an effective intervention to reduce pretreatment loss to follow-up. Absolute Return for Kids and UNITAID. Copyright © 2011 Elsevier Ltd. All rights reserved.
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            Scale-up of Routine Viral Load Testing in Resource-Poor Settings: Current and Future Implementation Challenges

            Cost and complexity have hindered implementation to date of viral load testing in resource-limited settings. If rapid and timely scale-up is to become a reality, numerous factors will need to be addressed, including health and laboratory system strengthening, pricing, and multiple programmatic and funding challenges.
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              HIV viral load monitoring in resource-limited regions: optional or necessary?

              Although it is a standard practice in high-income countries, determination of the human immunodeficiency virus (HIV) load is not recommended in developing countries because of the costs and technical constraints. As more and more countries establish capacity to provide second-line therapy, and as costs and technological constraints associated with viral load testing decrease, the question of whether determination of the viral load is necessary deserves attention. Viral load testing could increase in importance as a guide for clinical decisions on when to switch to second-line treatment and on how to optimize the duration of the first-line treatment regimen. In addition, the viral load is a particularly useful tool for monitoring adherence to treatment, performing sentinel surveillance, and diagnosing HIV infection in children aged <18 months. Rather than considering viral load data to be an unaffordable luxury, efforts should be made to ensure that viral load testing becomes affordable, simple, and easy to use in resource-limited settings.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                25 May 2017
                2017
                : 12
                : 5
                : e0178037
                Affiliations
                [1 ]Family Health International (FHI360), Garki- Abuja, Nigeria
                [2 ]Murtala Mohammed Specialist Hospital, Kano, Nigeria
                [3 ]University of Ghana College of Health Sciences, Accra, Ghana
                Universita degli Studi di Roma Tor Vergata, ITALY
                Author notes

                Competing Interests: BD Bioscience provided the BD FACSPresto machine for the pilot testing at Murtala Mohammed Specialist Hospital, Kano, site selected for the study by FHI 360 under the USAID funding for the SIDHAS project. This commercial funding does not alter our adherence to PLOS ONE policies on sharing data and materials.

                • Conceptualization: ORNM EAO KT.

                • Formal analysis: ORNM FEJ TB CA OB EAO.

                • Investigation: ORNM FEJ AY MA.

                • Methodology: ORNM EAO KT.

                • Project administration: ORNM FEJ KT.

                • Resources: ORNM FEJ TB CA OB EAO HK KT.

                • Supervision: ORNM KT.

                • Validation: ORNM FEJ TB KT.

                • Writing – original draft: ORNM FEJ TB.

                • Writing – review & editing: ORNM FEJ TB CA OB EAO HK KT.

                Author information
                http://orcid.org/0000-0003-3347-8177
                Article
                PONE-D-16-48631
                10.1371/journal.pone.0178037
                5444776
                28542359
                57f1c93b-5b17-401e-b349-6478dd71a5a3
                © 2017 Negedu-Momoh et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 8 December 2016
                : 8 May 2017
                Page count
                Figures: 1, Tables: 2, Pages: 11
                Funding
                Funded by: BD Biosciences (US)
                BD Bioscience provided the BD FACSPresto machine for the pilot testing to Murtala Mohammed Specialist Hospital, Kano, one of the supported sites by FHI 360 under the USAID funding for the SIDHAS project. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
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