Document Type
Journal Article
Publication Date
1-1-2018
Journal
PLoS One
Volume
13
Issue
7
DOI
10.1371/journal.pone.0192598
Abstract
The diagnosis of strongyloidiasis by coprological methods has a low sensitivity, underestimating the prevalence of Strongyloides stercoralis in endemic areas. Serodiagnostic tests for strongyloidiasis have shown robust diagnostic properties. However, these methods require a blood draw, an invasive and labor-intensive sample collection method, especially in the resource-limited settings where S. stercoralis is endemic. Our study examines a urine-based assay for strongyloidiasis and compares its diagnostic accuracy with coprological and serological methods. Receiver operating characteristic (ROC) curve analyses determined the diagnostic sensitivity (D-Sn) and specificity (D-Sp) of the urine ELISA, as well as estimates its positive predictive value and diagnostic risk. The likelihood ratios of obtaining a positive test result (LR+) or a negative test result (LR-) were calculated for each diagnostic positivity threshold. The urine ELISA assay correlated significantly with the serological ELISA assay for strongyloidiasis, with a D-Sn of 92.7% and a D-Sp of 40.7%, when compared to coprological methods. Moreover, the urine ELISA IgG test had a detection rate of 69%, which far exceeds the coprological method (28%). The likelihood of a positive diagnosis of strongyloidiasis by the urine ELISA IgG test increased significantly with increasing units of IgG detected in urine. The urine ELISA IgG assay for strongyloidiasis assay has a diagnostic accuracy comparable to serological assay, both of which are more sensitive than coprological methods. Since the collection of urine is easy and non-invasive, the urine ELISA IgG assay for strongyloidiasis could be used to screen populations at risk for strongyloidiasis in S. stercoralis endemic areas.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
APA Citation
Eamudomkarn, C., Sithithaworn, P., Kamamia, C., Yakovleva, A., Sithithaworn, J., Kaewkes, S., Techasen, A., Loilome, W., Yongvanit, P., Wangboon, C., Saichua, P., Itoh, M., & M Bethony, J. (2018). Diagnostic performance of urinary IgG antibody detection: A novel approach for population screening of strongyloidiasis.. PLoS One, 13 (7). http://dx.doi.org/10.1371/journal.pone.0192598
Peer Reviewed
1
Open Access
1
Comments
Reproduced with permission of PLoS ONE