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Multisite Evaluation of Point of Care CD4 Testing in Papua New Guinea

Laboratory-based CD4 monitoring of HIV patients presents challenges in resource limited settings (RLS) including frequent machine breakdown, poor engineering support and limited cold chain and specimen transport logistics. This study assessed the performance of two CD4 tests designed for use in RLS;...

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Autores principales: Malagun, Malin, Nano, Gideon, Chevallier, Caroline, Opina, Ragagalo, Sawiya, Gola, Kivavia, Joseph, Kalinoe, Albina, Nathaniel, Kathalina, Kaminiel, Oscillah, Millan, John, Carmone, Andrea, Dini, Mary, Palou, Theresa, Topma, Kum, Lavu, Evelyn, Markby, Jessica
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4245096/
https://www.ncbi.nlm.nih.gov/pubmed/25426710
http://dx.doi.org/10.1371/journal.pone.0112173
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author Malagun, Malin
Nano, Gideon
Chevallier, Caroline
Opina, Ragagalo
Sawiya, Gola
Kivavia, Joseph
Kalinoe, Albina
Nathaniel, Kathalina
Kaminiel, Oscillah
Millan, John
Carmone, Andrea
Dini, Mary
Palou, Theresa
Topma, Kum
Lavu, Evelyn
Markby, Jessica
author_facet Malagun, Malin
Nano, Gideon
Chevallier, Caroline
Opina, Ragagalo
Sawiya, Gola
Kivavia, Joseph
Kalinoe, Albina
Nathaniel, Kathalina
Kaminiel, Oscillah
Millan, John
Carmone, Andrea
Dini, Mary
Palou, Theresa
Topma, Kum
Lavu, Evelyn
Markby, Jessica
author_sort Malagun, Malin
collection PubMed
description Laboratory-based CD4 monitoring of HIV patients presents challenges in resource limited settings (RLS) including frequent machine breakdown, poor engineering support and limited cold chain and specimen transport logistics. This study assessed the performance of two CD4 tests designed for use in RLS; the Dynal assay and the Alere PIMA test (PIMA). Accuracy of Dynal and PIMA using venous blood was assessed in a centralised laboratory by comparison to BD FACSCount (BD FACS). Dynal had a mean bias of −50.35 cells/µl (r(2) = 0.973, p<0.0001, n = 101) and PIMA −22.43 cells/µl (r(2) = 0.964, p<0.0001, n = 139) compared to BD FACS. Similar results were observed for PIMA operated by clinicians in one urban (n = 117) and two rural clinics (n = 98). Using internal control beads, PIMA precision was 10.34% CV (low bead mean 214.24 cells/µl) and 8.29% (high bead mean 920.73 cells/µl) and similar %CV results were observed external quality assurance (EQA) and replicate patient samples. Dynal did not perform using EQA and no internal controls are supplied by the manufacturer, however duplicate testing of samples resulted in r(2) = 0.961, p<0.0001, mean bias = −1.44 cells/µl. Using the cut-off of 350 cells/µl compared to BD FACS, PIMA had a sensitivity of 88.85% and specificity of 98.71% and Dynal 88.61% and 100%. A total of 0.44% (2/452) of patient samples were misclassified as “no treat” and 7.30% (33/452) “treat” using PIMA whereas with Dynal 8.91% (9/101) as “treat” and 0% as “no treat”. In our setting PIMA was found to be accurate, precise and user-friendly in both laboratory and clinic settings. Dynal performed well in initial centralized laboratory evaluation, however lacks requisite quality control measures, and was technically more difficult to use, making it less suitable for use at lower tiered laboratories.
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spelling pubmed-42450962014-12-05 Multisite Evaluation of Point of Care CD4 Testing in Papua New Guinea Malagun, Malin Nano, Gideon Chevallier, Caroline Opina, Ragagalo Sawiya, Gola Kivavia, Joseph Kalinoe, Albina Nathaniel, Kathalina Kaminiel, Oscillah Millan, John Carmone, Andrea Dini, Mary Palou, Theresa Topma, Kum Lavu, Evelyn Markby, Jessica PLoS One Research Article Laboratory-based CD4 monitoring of HIV patients presents challenges in resource limited settings (RLS) including frequent machine breakdown, poor engineering support and limited cold chain and specimen transport logistics. This study assessed the performance of two CD4 tests designed for use in RLS; the Dynal assay and the Alere PIMA test (PIMA). Accuracy of Dynal and PIMA using venous blood was assessed in a centralised laboratory by comparison to BD FACSCount (BD FACS). Dynal had a mean bias of −50.35 cells/µl (r(2) = 0.973, p<0.0001, n = 101) and PIMA −22.43 cells/µl (r(2) = 0.964, p<0.0001, n = 139) compared to BD FACS. Similar results were observed for PIMA operated by clinicians in one urban (n = 117) and two rural clinics (n = 98). Using internal control beads, PIMA precision was 10.34% CV (low bead mean 214.24 cells/µl) and 8.29% (high bead mean 920.73 cells/µl) and similar %CV results were observed external quality assurance (EQA) and replicate patient samples. Dynal did not perform using EQA and no internal controls are supplied by the manufacturer, however duplicate testing of samples resulted in r(2) = 0.961, p<0.0001, mean bias = −1.44 cells/µl. Using the cut-off of 350 cells/µl compared to BD FACS, PIMA had a sensitivity of 88.85% and specificity of 98.71% and Dynal 88.61% and 100%. A total of 0.44% (2/452) of patient samples were misclassified as “no treat” and 7.30% (33/452) “treat” using PIMA whereas with Dynal 8.91% (9/101) as “treat” and 0% as “no treat”. In our setting PIMA was found to be accurate, precise and user-friendly in both laboratory and clinic settings. Dynal performed well in initial centralized laboratory evaluation, however lacks requisite quality control measures, and was technically more difficult to use, making it less suitable for use at lower tiered laboratories. Public Library of Science 2014-11-26 /pmc/articles/PMC4245096/ /pubmed/25426710 http://dx.doi.org/10.1371/journal.pone.0112173 Text en © 2014 Malagun et al http://creativecommons.org/licenses/by/4.0/ 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 properly credited.
spellingShingle Research Article
Malagun, Malin
Nano, Gideon
Chevallier, Caroline
Opina, Ragagalo
Sawiya, Gola
Kivavia, Joseph
Kalinoe, Albina
Nathaniel, Kathalina
Kaminiel, Oscillah
Millan, John
Carmone, Andrea
Dini, Mary
Palou, Theresa
Topma, Kum
Lavu, Evelyn
Markby, Jessica
Multisite Evaluation of Point of Care CD4 Testing in Papua New Guinea
title Multisite Evaluation of Point of Care CD4 Testing in Papua New Guinea
title_full Multisite Evaluation of Point of Care CD4 Testing in Papua New Guinea
title_fullStr Multisite Evaluation of Point of Care CD4 Testing in Papua New Guinea
title_full_unstemmed Multisite Evaluation of Point of Care CD4 Testing in Papua New Guinea
title_short Multisite Evaluation of Point of Care CD4 Testing in Papua New Guinea
title_sort multisite evaluation of point of care cd4 testing in papua new guinea
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4245096/
https://www.ncbi.nlm.nih.gov/pubmed/25426710
http://dx.doi.org/10.1371/journal.pone.0112173
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