Cargando…

Evaluation of a Urine Pooling Strategy for the Rapid and Cost-Efficient Prevalence Classification of Schistosomiasis

BACKGROUND: A key epidemiologic feature of schistosomiasis is its focal distribution, which has important implications for the spatial targeting of preventive chemotherapy programs. We evaluated the diagnostic accuracy of a urine pooling strategy using a point-of-care circulating cathodic antigen (P...

Descripción completa

Detalles Bibliográficos
Autores principales: Lo, Nathan C., Coulibaly, Jean T., Bendavid, Eran, N’Goran, Eliézer K., Utzinger, Jürg, Keiser, Jennifer, Bogoch, Isaac I., Andrews, Jason R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4978437/
https://www.ncbi.nlm.nih.gov/pubmed/27504954
http://dx.doi.org/10.1371/journal.pntd.0004894
_version_ 1782447171671425024
author Lo, Nathan C.
Coulibaly, Jean T.
Bendavid, Eran
N’Goran, Eliézer K.
Utzinger, Jürg
Keiser, Jennifer
Bogoch, Isaac I.
Andrews, Jason R.
author_facet Lo, Nathan C.
Coulibaly, Jean T.
Bendavid, Eran
N’Goran, Eliézer K.
Utzinger, Jürg
Keiser, Jennifer
Bogoch, Isaac I.
Andrews, Jason R.
author_sort Lo, Nathan C.
collection PubMed
description BACKGROUND: A key epidemiologic feature of schistosomiasis is its focal distribution, which has important implications for the spatial targeting of preventive chemotherapy programs. We evaluated the diagnostic accuracy of a urine pooling strategy using a point-of-care circulating cathodic antigen (POC-CCA) cassette test for detection of Schistosoma mansoni, and employed simulation modeling to test the classification accuracy and efficiency of this strategy in determining where preventive chemotherapy is needed in low-endemicity settings. METHODOLOGY: We performed a cross-sectional study involving 114 children aged 6–15 years in six neighborhoods in Azaguié Ahoua, south Côte d’Ivoire to characterize the sensitivity and specificity of the POC-CCA cassette test with urine samples that were tested individually and in pools of 4, 8, and 12. We used a Bayesian latent class model to estimate test characteristics for individual POC-CCA and quadruplicate Kato-Katz thick smears on stool samples. We then developed a microsimulation model and used lot quality assurance sampling to test the performance, number of tests, and total cost per school for each pooled testing strategy to predict the binary need for school-based preventive chemotherapy using a 10% prevalence threshold for treatment. PRINCIPAL FINDINGS: The sensitivity of the urine pooling strategy for S. mansoni diagnosis using pool sizes of 4, 8, and 12 was 85.9%, 79.5%, and 65.4%, respectively, when POC-CCA trace results were considered positive, and 61.5%, 47.4%, and 30.8% when POC-CCA trace results were considered negative. The modeled specificity ranged from 94.0–97.7% for the urine pooling strategies (when POC-CCA trace results were considered negative). The urine pooling strategy, regardless of the pool size, gave comparable and often superior classification performance to stool microscopy for the same number of tests. The urine pooling strategy with a pool size of 4 reduced the number of tests and total cost compared to classical stool microscopy. CONCLUSIONS/SIGNIFICANCE: This study introduces a method for rapid and efficient S. mansoni prevalence estimation through examining pooled urine samples with POC-CCA as an alternative to widely used stool microscopy.
format Online
Article
Text
id pubmed-4978437
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-49784372016-08-25 Evaluation of a Urine Pooling Strategy for the Rapid and Cost-Efficient Prevalence Classification of Schistosomiasis Lo, Nathan C. Coulibaly, Jean T. Bendavid, Eran N’Goran, Eliézer K. Utzinger, Jürg Keiser, Jennifer Bogoch, Isaac I. Andrews, Jason R. PLoS Negl Trop Dis Research Article BACKGROUND: A key epidemiologic feature of schistosomiasis is its focal distribution, which has important implications for the spatial targeting of preventive chemotherapy programs. We evaluated the diagnostic accuracy of a urine pooling strategy using a point-of-care circulating cathodic antigen (POC-CCA) cassette test for detection of Schistosoma mansoni, and employed simulation modeling to test the classification accuracy and efficiency of this strategy in determining where preventive chemotherapy is needed in low-endemicity settings. METHODOLOGY: We performed a cross-sectional study involving 114 children aged 6–15 years in six neighborhoods in Azaguié Ahoua, south Côte d’Ivoire to characterize the sensitivity and specificity of the POC-CCA cassette test with urine samples that were tested individually and in pools of 4, 8, and 12. We used a Bayesian latent class model to estimate test characteristics for individual POC-CCA and quadruplicate Kato-Katz thick smears on stool samples. We then developed a microsimulation model and used lot quality assurance sampling to test the performance, number of tests, and total cost per school for each pooled testing strategy to predict the binary need for school-based preventive chemotherapy using a 10% prevalence threshold for treatment. PRINCIPAL FINDINGS: The sensitivity of the urine pooling strategy for S. mansoni diagnosis using pool sizes of 4, 8, and 12 was 85.9%, 79.5%, and 65.4%, respectively, when POC-CCA trace results were considered positive, and 61.5%, 47.4%, and 30.8% when POC-CCA trace results were considered negative. The modeled specificity ranged from 94.0–97.7% for the urine pooling strategies (when POC-CCA trace results were considered negative). The urine pooling strategy, regardless of the pool size, gave comparable and often superior classification performance to stool microscopy for the same number of tests. The urine pooling strategy with a pool size of 4 reduced the number of tests and total cost compared to classical stool microscopy. CONCLUSIONS/SIGNIFICANCE: This study introduces a method for rapid and efficient S. mansoni prevalence estimation through examining pooled urine samples with POC-CCA as an alternative to widely used stool microscopy. Public Library of Science 2016-08-09 /pmc/articles/PMC4978437/ /pubmed/27504954 http://dx.doi.org/10.1371/journal.pntd.0004894 Text en © 2016 Lo 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 (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Lo, Nathan C.
Coulibaly, Jean T.
Bendavid, Eran
N’Goran, Eliézer K.
Utzinger, Jürg
Keiser, Jennifer
Bogoch, Isaac I.
Andrews, Jason R.
Evaluation of a Urine Pooling Strategy for the Rapid and Cost-Efficient Prevalence Classification of Schistosomiasis
title Evaluation of a Urine Pooling Strategy for the Rapid and Cost-Efficient Prevalence Classification of Schistosomiasis
title_full Evaluation of a Urine Pooling Strategy for the Rapid and Cost-Efficient Prevalence Classification of Schistosomiasis
title_fullStr Evaluation of a Urine Pooling Strategy for the Rapid and Cost-Efficient Prevalence Classification of Schistosomiasis
title_full_unstemmed Evaluation of a Urine Pooling Strategy for the Rapid and Cost-Efficient Prevalence Classification of Schistosomiasis
title_short Evaluation of a Urine Pooling Strategy for the Rapid and Cost-Efficient Prevalence Classification of Schistosomiasis
title_sort evaluation of a urine pooling strategy for the rapid and cost-efficient prevalence classification of schistosomiasis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4978437/
https://www.ncbi.nlm.nih.gov/pubmed/27504954
http://dx.doi.org/10.1371/journal.pntd.0004894
work_keys_str_mv AT lonathanc evaluationofaurinepoolingstrategyfortherapidandcostefficientprevalenceclassificationofschistosomiasis
AT coulibalyjeant evaluationofaurinepoolingstrategyfortherapidandcostefficientprevalenceclassificationofschistosomiasis
AT bendavideran evaluationofaurinepoolingstrategyfortherapidandcostefficientprevalenceclassificationofschistosomiasis
AT ngoraneliezerk evaluationofaurinepoolingstrategyfortherapidandcostefficientprevalenceclassificationofschistosomiasis
AT utzingerjurg evaluationofaurinepoolingstrategyfortherapidandcostefficientprevalenceclassificationofschistosomiasis
AT keiserjennifer evaluationofaurinepoolingstrategyfortherapidandcostefficientprevalenceclassificationofschistosomiasis
AT bogochisaaci evaluationofaurinepoolingstrategyfortherapidandcostefficientprevalenceclassificationofschistosomiasis
AT andrewsjasonr evaluationofaurinepoolingstrategyfortherapidandcostefficientprevalenceclassificationofschistosomiasis