Infection intensity-dependent accuracy of reagent strip for the diagnosis of Schistosoma haematobium and estimation of treatment prevalence thresholds.
Infection intensity-dependent accuracy of reagent strip for the diagnosis of Schistosoma haematobium and estimation of treatment prevalence thresholds.
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DOI:
10.1371/journal.pntd.0010332
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发表时间:
2022-04
影响因子:
3.8
通讯作者:
中科院分区:
文献类型:
--
作者:
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. 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. 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. 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. Control of schistosomiasis, a parasitic worm infection affecting more than 200 million people worldwide, relies mainly on mass drug administration of praziquantel to school-age children as well as adults in areas where the disease is particularly rampant. The World Health Organization has set thresholds of observed prevalence that require intervention to reach the goal of eliminating schistosomiasis as a public health problem by 2025. Intervention thresholds are defined based on parasitologic methods, which is urine filtration for Schistosoma haematobium. There are alternative diagnostic methods to detect S. haematobium, such as the detection of blood in urine that is a common symptom of urogenital schistosomiasis. We determined the diagnostic sensitivity and specificity of a reagent strip to detect microhematuria using data from two villages in Tanzania at multiple time points (once before and several times after treatment with the deworming drug praziquantel) and translate the urine filtration intervention thresholds to reagent strip equivalents. We show that the reagent strip including trace results is almost perfectly sensitive for infections above 15 eggs of S. haematobium per 10 ml of urine and that a 10% observed prevalence by urine filtration corresponds to 17.6% observed prevalence by reagent strip including traces.
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影响因子:
3.2
作者:
Krauth SJ;Greter H;Stete K;Coulibaly JT;Traoré SI;Ngandolo BN;Achi LY;Zinsstag J;N'Goran EK;Utzinger J
通讯作者:
Utzinger J
影响因子:
3.8
作者:
Hotez PJ;Alvarado M;Basáñez MG;Bolliger I;Bourne R;Boussinesq M;Brooker SJ;Brown AS;Buckle G;Budke CM;Carabin H;Coffeng LE;Fèvre EM;Fürst T;Halasa YA;Jasrasaria R;Johns NE;Keiser J;King CH;Lozano R;Murdoch ME;O'Hanlon S;Pion SD;Pullan RL;Ramaiah KD;Roberts T;Shepard DS;Smith JL;Stolk WA;Undurraga EA;Utzinger J;Wang M;Murray CJ;Naghavi M
通讯作者:
Naghavi M
DOI:
10.1016/0035-9203(86)90367-6
发表时间:
1986-01-01
影响因子:
2.2
作者:
ANDERSON, RM
通讯作者:
ANDERSON, RM
影响因子:
81.5
作者:
McManus, Donald P.;Dunne, David W.;Zhou, Xiao-Nong
通讯作者:
Zhou, Xiao-Nong
影响因子:
3.8
作者:
Knopp, Stefanie;Corstjens, Paul L. A. M.;van Dam, Govert J.
通讯作者:
van Dam, Govert J.