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

Publikation: Bidrag til tidsskriftReviewForskningfagfællebedømt

Standard

Infection intensity-dependent accuracy of reagent strip for the diagnosis of Schistosoma haematobium and estimation of treatment prevalence thresholds. / Grolimund, Carla M.; Bärenbold, Oliver; Hatz, Christoph F.; Vennervald, Birgitte J.; Mayombana, Charles; Mshinda, Hassan; Utzinger, Jürg; Vounatsou, Penelope.

I: PLoS Neglected Tropical Diseases, Bind 16, Nr. 4, e0010332, 2022.

Publikation: Bidrag til tidsskriftReviewForskningfagfællebedømt

Harvard

Grolimund, CM, Bärenbold, O, Hatz, CF, Vennervald, BJ, Mayombana, C, Mshinda, H, Utzinger, J & Vounatsou, P 2022, 'Infection intensity-dependent accuracy of reagent strip for the diagnosis of Schistosoma haematobium and estimation of treatment prevalence thresholds', PLoS Neglected Tropical Diseases, bind 16, nr. 4, e0010332. https://doi.org/10.1371/journal.pntd.0010332

APA

Grolimund, C. M., Bärenbold, O., Hatz, C. F., Vennervald, B. J., Mayombana, C., Mshinda, H., Utzinger, J., & Vounatsou, P. (2022). Infection intensity-dependent accuracy of reagent strip for the diagnosis of Schistosoma haematobium and estimation of treatment prevalence thresholds. PLoS Neglected Tropical Diseases, 16(4), [e0010332]. https://doi.org/10.1371/journal.pntd.0010332

Vancouver

Grolimund CM, Bärenbold O, Hatz CF, Vennervald BJ, Mayombana C, Mshinda H o.a. Infection intensity-dependent accuracy of reagent strip for the diagnosis of Schistosoma haematobium and estimation of treatment prevalence thresholds. PLoS Neglected Tropical Diseases. 2022;16(4). e0010332. https://doi.org/10.1371/journal.pntd.0010332

Author

Grolimund, Carla M. ; Bärenbold, Oliver ; Hatz, Christoph F. ; Vennervald, Birgitte J. ; Mayombana, Charles ; Mshinda, Hassan ; Utzinger, Jürg ; Vounatsou, Penelope. / Infection intensity-dependent accuracy of reagent strip for the diagnosis of Schistosoma haematobium and estimation of treatment prevalence thresholds. I: PLoS Neglected Tropical Diseases. 2022 ; Bind 16, Nr. 4.

Bibtex

@article{07b8a13d89e54e889c65542e1ec2e56c,
title = "Infection intensity-dependent accuracy of reagent strip for the diagnosis of Schistosoma haematobium and estimation of treatment prevalence thresholds",
abstract = "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 communitybased 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 followup 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 considered negative, is a good proxy for prevalence estimates of S. haematobium infection by urine filtration on a single day.",
author = "Grolimund, {Carla M.} and Oliver B{\"a}renbold and Hatz, {Christoph F.} and Vennervald, {Birgitte J.} and Charles Mayombana and Hassan Mshinda and J{\"u}rg Utzinger and Penelope Vounatsou",
note = "Publisher Copyright: {\textcopyright} 2022 Grolimund et al.",
year = "2022",
doi = "10.1371/journal.pntd.0010332",
language = "English",
volume = "16",
journal = "PLoS Neglected Tropical Diseases",
issn = "1935-2727",
publisher = "Public Library of Science",
number = "4",

}

RIS

TY - JOUR

T1 - Infection intensity-dependent accuracy of reagent strip for the diagnosis of Schistosoma haematobium and estimation of treatment prevalence thresholds

AU - Grolimund, Carla M.

AU - Bärenbold, Oliver

AU - Hatz, Christoph F.

AU - Vennervald, Birgitte J.

AU - Mayombana, Charles

AU - Mshinda, Hassan

AU - Utzinger, Jürg

AU - Vounatsou, Penelope

N1 - Publisher Copyright: © 2022 Grolimund et al.

PY - 2022

Y1 - 2022

N2 - 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 communitybased 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 followup 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 considered negative, is a good proxy for prevalence estimates of S. haematobium infection by urine filtration on a single day.

AB - 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 communitybased 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 followup 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 considered negative, is a good proxy for prevalence estimates of S. haematobium infection by urine filtration on a single day.

U2 - 10.1371/journal.pntd.0010332

DO - 10.1371/journal.pntd.0010332

M3 - Review

C2 - 35468129

AN - SCOPUS:85129924451

VL - 16

JO - PLoS Neglected Tropical Diseases

JF - PLoS Neglected Tropical Diseases

SN - 1935-2727

IS - 4

M1 - e0010332

ER -

ID: 344638867