Infection intensity-dependent accuracy of reagent strip for the diagnosis of Schistosoma haematobium and estimation of treatment prevalence thresholds.

Background Reagent strip to detect microhematuria as a proxy for Schistosoma haematobium infections has been considered an alternative to urine filtration for individual diagnosis and community-based estimates of treatment needs for preventive chemotherapy. However, the diagnostic accuracy of reagen...

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Published in:PLOS Neglected Tropical Diseases
Main Authors: Carla M Grolimund, Oliver Bärenbold, Christoph F Hatz, Birgitte J Vennervald, Charles Mayombana, Hassan Mshinda, Jürg Utzinger, Penelope Vounatsou
Format: Article in Journal/Newspaper
Language:English
Published: Public Library of Science (PLoS) 2022
Subjects:
Online Access:https://doi.org/10.1371/journal.pntd.0010332
https://doaj.org/article/a44a053bf9544d5eba3c4d9d19eec939
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spelling ftdoajarticles:oai:doaj.org/article:a44a053bf9544d5eba3c4d9d19eec939 2023-05-15T15:14:55+02:00 Infection intensity-dependent accuracy of reagent strip for the diagnosis of Schistosoma haematobium and estimation of treatment prevalence thresholds. Carla M Grolimund Oliver Bärenbold Christoph F Hatz Birgitte J Vennervald Charles Mayombana Hassan Mshinda Jürg Utzinger Penelope Vounatsou 2022-04-01T00:00:00Z https://doi.org/10.1371/journal.pntd.0010332 https://doaj.org/article/a44a053bf9544d5eba3c4d9d19eec939 EN eng Public Library of Science (PLoS) https://doi.org/10.1371/journal.pntd.0010332 https://doaj.org/toc/1935-2727 https://doaj.org/toc/1935-2735 1935-2727 1935-2735 doi:10.1371/journal.pntd.0010332 https://doaj.org/article/a44a053bf9544d5eba3c4d9d19eec939 PLoS Neglected Tropical Diseases, Vol 16, Iss 4, p e0010332 (2022) Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 article 2022 ftdoajarticles https://doi.org/10.1371/journal.pntd.0010332 2022-12-30T22:27:12Z Background Reagent strip to detect microhematuria as a proxy for Schistosoma haematobium infections has been considered an alternative to urine filtration for individual diagnosis and community-based estimates of treatment needs for preventive chemotherapy. However, the diagnostic accuracy of reagent strip needs further investigation, particularly at low infection intensity levels. Methods We used existing data from a study conducted in Tanzania that employed urine filtration and reagent strip testing for S. haematobium in two villages, including a baseline and six follow-up surveys after praziquantel treatment representing a wide range of infection prevalence. We developed a Bayesian model linking individual S. haematobium egg count data based on urine filtration to reagent strip binary test results available on multiple days and estimated the relation between infection intensity and sensitivity of reagent strip. Furthermore, we simulated data from 3,000 hypothetical populations with varying mean infection intensity to infer on the relation between prevalence observed by urine filtration and the interpretation of reagent strip readings. Principal findings Reagent strip showed excellent sensitivity even for single measurement reaching 100% at around 15 eggs of S. haematobium per 10 ml of urine when traces on reagent strip were considered positive. The corresponding specificity was 97%. When traces were considered negative, the diagnostic accuracy of the reagent strip was equivalent to urine filtration data obtained on a single day. A 10% and 50% urine filtration prevalence based on a single day sampling corresponds to 11.2% and 48.6% prevalence by reagent strip, respectively, when traces were considered negative, and 17.6% and 57.7%, respectively, when traces were considered positive. Conclusions/significance Trace results should be included in reagent strip readings when high sensitivity is required, but excluded when high specificity is needed. The observed prevalence of reagent strip results, when traces are ... Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic PLOS Neglected Tropical Diseases 16 4 e0010332
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Arctic medicine. Tropical medicine
RC955-962
Public aspects of medicine
RA1-1270
spellingShingle Arctic medicine. Tropical medicine
RC955-962
Public aspects of medicine
RA1-1270
Carla M Grolimund
Oliver Bärenbold
Christoph F Hatz
Birgitte J Vennervald
Charles Mayombana
Hassan Mshinda
Jürg Utzinger
Penelope Vounatsou
Infection intensity-dependent accuracy of reagent strip for the diagnosis of Schistosoma haematobium and estimation of treatment prevalence thresholds.
topic_facet Arctic medicine. Tropical medicine
RC955-962
Public aspects of medicine
RA1-1270
description Background Reagent strip to detect microhematuria as a proxy for Schistosoma haematobium infections has been considered an alternative to urine filtration for individual diagnosis and community-based estimates of treatment needs for preventive chemotherapy. However, the diagnostic accuracy of reagent strip needs further investigation, particularly at low infection intensity levels. Methods We used existing data from a study conducted in Tanzania that employed urine filtration and reagent strip testing for S. haematobium in two villages, including a baseline and six follow-up surveys after praziquantel treatment representing a wide range of infection prevalence. We developed a Bayesian model linking individual S. haematobium egg count data based on urine filtration to reagent strip binary test results available on multiple days and estimated the relation between infection intensity and sensitivity of reagent strip. Furthermore, we simulated data from 3,000 hypothetical populations with varying mean infection intensity to infer on the relation between prevalence observed by urine filtration and the interpretation of reagent strip readings. Principal findings Reagent strip showed excellent sensitivity even for single measurement reaching 100% at around 15 eggs of S. haematobium per 10 ml of urine when traces on reagent strip were considered positive. The corresponding specificity was 97%. When traces were considered negative, the diagnostic accuracy of the reagent strip was equivalent to urine filtration data obtained on a single day. A 10% and 50% urine filtration prevalence based on a single day sampling corresponds to 11.2% and 48.6% prevalence by reagent strip, respectively, when traces were considered negative, and 17.6% and 57.7%, respectively, when traces were considered positive. Conclusions/significance Trace results should be included in reagent strip readings when high sensitivity is required, but excluded when high specificity is needed. The observed prevalence of reagent strip results, when traces are ...
format Article in Journal/Newspaper
author Carla M Grolimund
Oliver Bärenbold
Christoph F Hatz
Birgitte J Vennervald
Charles Mayombana
Hassan Mshinda
Jürg Utzinger
Penelope Vounatsou
author_facet Carla M Grolimund
Oliver Bärenbold
Christoph F Hatz
Birgitte J Vennervald
Charles Mayombana
Hassan Mshinda
Jürg Utzinger
Penelope Vounatsou
author_sort Carla M Grolimund
title Infection intensity-dependent accuracy of reagent strip for the diagnosis of Schistosoma haematobium and estimation of treatment prevalence thresholds.
title_short Infection intensity-dependent accuracy of reagent strip for the diagnosis of Schistosoma haematobium and estimation of treatment prevalence thresholds.
title_full Infection intensity-dependent accuracy of reagent strip for the diagnosis of Schistosoma haematobium and estimation of treatment prevalence thresholds.
title_fullStr Infection intensity-dependent accuracy of reagent strip for the diagnosis of Schistosoma haematobium and estimation of treatment prevalence thresholds.
title_full_unstemmed Infection intensity-dependent accuracy of reagent strip for the diagnosis of Schistosoma haematobium and estimation of treatment prevalence thresholds.
title_sort infection intensity-dependent accuracy of reagent strip for the diagnosis of schistosoma haematobium and estimation of treatment prevalence thresholds.
publisher Public Library of Science (PLoS)
publishDate 2022
url https://doi.org/10.1371/journal.pntd.0010332
https://doaj.org/article/a44a053bf9544d5eba3c4d9d19eec939
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_source PLoS Neglected Tropical Diseases, Vol 16, Iss 4, p e0010332 (2022)
op_relation https://doi.org/10.1371/journal.pntd.0010332
https://doaj.org/toc/1935-2727
https://doaj.org/toc/1935-2735
1935-2727
1935-2735
doi:10.1371/journal.pntd.0010332
https://doaj.org/article/a44a053bf9544d5eba3c4d9d19eec939
op_doi https://doi.org/10.1371/journal.pntd.0010332
container_title PLOS Neglected Tropical Diseases
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