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Accuracy of malaria rapid diagnosis test Optimal-IT® in Kinshasa, the Democratic Republic of Congo

BACKGROUND: Despite some problems related to accuracy and applicability, malaria rapid diagnostic tests (RDTs), are currently considered the best option in areas with limited laboratory services for improving case management and reducing over-treatment. However, their performance must be established...

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Autores principales: Muhindo, Hypolite Mavoko, Ilombe, Gillon, Meya, Ruth, Mitashi, Patrick M, Kutekemeni, Albert, Gasigwa, Didier, Lutumba, Pascal, Van Geertruyden, Jean-Pierre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3465183/
https://www.ncbi.nlm.nih.gov/pubmed/22770130
http://dx.doi.org/10.1186/1475-2875-11-224
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author Muhindo, Hypolite Mavoko
Ilombe, Gillon
Meya, Ruth
Mitashi, Patrick M
Kutekemeni, Albert
Gasigwa, Didier
Lutumba, Pascal
Van Geertruyden, Jean-Pierre
author_facet Muhindo, Hypolite Mavoko
Ilombe, Gillon
Meya, Ruth
Mitashi, Patrick M
Kutekemeni, Albert
Gasigwa, Didier
Lutumba, Pascal
Van Geertruyden, Jean-Pierre
author_sort Muhindo, Hypolite Mavoko
collection PubMed
description BACKGROUND: Despite some problems related to accuracy and applicability, malaria rapid diagnostic tests (RDTs), are currently considered the best option in areas with limited laboratory services for improving case management and reducing over-treatment. However, their performance must be established taking into the account the particularities of each endemic area. In the Democratic Republic of Congo, the validity of Optimal-IT® and Paracheck-Pf®, respectively based on the detection of lactate dehydrogenase and histidine-rich protein-2, was assessed at primary health care level (PHC). METHODS: This was a two-stage cluster randomized survey, conducted in one health centre in 12 health zones in Kinshasa city. All patients with malaria presumptive diagnosis were eligible. Gold standard was microscopy performed by experts from the parasitology unit, Kinshasa University. RESULTS: 624 patients were enrolled. 53.4% (95% CI: 49.4-57.3) owed a bed net, obtained in 74.5% of cases (95% CI: 69.4-79.1) through community-based distribution by the National Malaria Control Programme. Microscopy expert reading confirmed 123 malaria cases (19.7%; 95% CI: 16.7-23.1). Overall sensitivity were 79.7% (95% CI: 72.4-86.8), 87.8% (95% CI: 81.9-93.6) and 86.2% (95% CI: 79.9-92.3), respectively, for Optimal-IT®, Paracheck-Pf® and microscopy performed at PHC. Specificity was 97.0% (95% CI: 95.5-98.5), 91.6% (95% CI: 89.1-94.0) and 49.1% (95% CI: 44.7-53.4). The proportion of confirmed cases seemed similar in under-fives compared to others. Any treatment prior to the current visit was a predictor for malaria (AOR: 2.3; 95% CI: 1.5-3.5), but not malaria treatment (AOR: 0.87; 95% CI: 0.4-1.8). Bed net ownership tended to protect against malaria (AOR: 0.67; 95% CI: 0.45-0.99). CONCLUSION: Although microscopy is considered as the "gold standard" for malaria diagnosis at point of care level, this study showed that its accuracy may not always be satisfactory when performed in health centres.
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spelling pubmed-34651832012-10-06 Accuracy of malaria rapid diagnosis test Optimal-IT® in Kinshasa, the Democratic Republic of Congo Muhindo, Hypolite Mavoko Ilombe, Gillon Meya, Ruth Mitashi, Patrick M Kutekemeni, Albert Gasigwa, Didier Lutumba, Pascal Van Geertruyden, Jean-Pierre Malar J Research BACKGROUND: Despite some problems related to accuracy and applicability, malaria rapid diagnostic tests (RDTs), are currently considered the best option in areas with limited laboratory services for improving case management and reducing over-treatment. However, their performance must be established taking into the account the particularities of each endemic area. In the Democratic Republic of Congo, the validity of Optimal-IT® and Paracheck-Pf®, respectively based on the detection of lactate dehydrogenase and histidine-rich protein-2, was assessed at primary health care level (PHC). METHODS: This was a two-stage cluster randomized survey, conducted in one health centre in 12 health zones in Kinshasa city. All patients with malaria presumptive diagnosis were eligible. Gold standard was microscopy performed by experts from the parasitology unit, Kinshasa University. RESULTS: 624 patients were enrolled. 53.4% (95% CI: 49.4-57.3) owed a bed net, obtained in 74.5% of cases (95% CI: 69.4-79.1) through community-based distribution by the National Malaria Control Programme. Microscopy expert reading confirmed 123 malaria cases (19.7%; 95% CI: 16.7-23.1). Overall sensitivity were 79.7% (95% CI: 72.4-86.8), 87.8% (95% CI: 81.9-93.6) and 86.2% (95% CI: 79.9-92.3), respectively, for Optimal-IT®, Paracheck-Pf® and microscopy performed at PHC. Specificity was 97.0% (95% CI: 95.5-98.5), 91.6% (95% CI: 89.1-94.0) and 49.1% (95% CI: 44.7-53.4). The proportion of confirmed cases seemed similar in under-fives compared to others. Any treatment prior to the current visit was a predictor for malaria (AOR: 2.3; 95% CI: 1.5-3.5), but not malaria treatment (AOR: 0.87; 95% CI: 0.4-1.8). Bed net ownership tended to protect against malaria (AOR: 0.67; 95% CI: 0.45-0.99). CONCLUSION: Although microscopy is considered as the "gold standard" for malaria diagnosis at point of care level, this study showed that its accuracy may not always be satisfactory when performed in health centres. BioMed Central 2012-07-06 /pmc/articles/PMC3465183/ /pubmed/22770130 http://dx.doi.org/10.1186/1475-2875-11-224 Text en Copyright ©2012 Muhindo et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Muhindo, Hypolite Mavoko
Ilombe, Gillon
Meya, Ruth
Mitashi, Patrick M
Kutekemeni, Albert
Gasigwa, Didier
Lutumba, Pascal
Van Geertruyden, Jean-Pierre
Accuracy of malaria rapid diagnosis test Optimal-IT® in Kinshasa, the Democratic Republic of Congo
title Accuracy of malaria rapid diagnosis test Optimal-IT® in Kinshasa, the Democratic Republic of Congo
title_full Accuracy of malaria rapid diagnosis test Optimal-IT® in Kinshasa, the Democratic Republic of Congo
title_fullStr Accuracy of malaria rapid diagnosis test Optimal-IT® in Kinshasa, the Democratic Republic of Congo
title_full_unstemmed Accuracy of malaria rapid diagnosis test Optimal-IT® in Kinshasa, the Democratic Republic of Congo
title_short Accuracy of malaria rapid diagnosis test Optimal-IT® in Kinshasa, the Democratic Republic of Congo
title_sort accuracy of malaria rapid diagnosis test optimal-it® in kinshasa, the democratic republic of congo
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3465183/
https://www.ncbi.nlm.nih.gov/pubmed/22770130
http://dx.doi.org/10.1186/1475-2875-11-224
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