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Development and Accuracy Evaluation of Lateral Flow Immunoassay for Rapid Diagnosis of Schistosomiasis Mekongi in Humans.
- Source :
- Vector-Borne & Zoonotic Diseases; Jan2022, Vol. 22 Issue 1, p48-54, 7p
- Publication Year :
- 2022
-
Abstract
- Schistosoma mekongi infection is endemic in countries along the Mekong River and certain of its tributaries in the lower Mekong basin, especially in Lao People's Democratic Republic and Cambodia. Diagnosis of schistosomiasis is crucial before treatment and epidemiological surveys before and/or after an intervention, such as a mass drug administration. A newly developed immunochromatographic test (ICT) for the diagnosis of schistosomiasis mekongi, based on antiparasite antibody detection in human sera, was evaluated. The schistosomiasis mekongi-ICT (Smk-ICT) strip was developed using somatic antigen from adult S. mekongi. In total, 209 serum samples were examined, including 14 from parasitologically proven schistosomiasis mekongi patients, 30 from schistosomiasis japonica patients, other parasitosis (n = 135), and healthy volunteers (n = 30) from areas not endemic for S. mekongi. Eleven schistosomiasis mekongi samples were positive according to the Smk-ICT, whereas all healthy control samples were negative. Cross-reactions with paragonimiasis heterotremus, sparganosis, trichinellosis, and taeniasis saginata samples were observed at 2.4% (4/165). The diagnostic sensitivity, specificity, positive predictive value, negative predictive value, and accuracy were 78.6% (95% confidence interval [CI] 49.2–95.3), 97.6% (95% CI 93.9–99.3), 73.3% (95% CI 44.9–92.2), 98.2% (95% CI 94.7–99.6), and 96.1% (95% CI 92.1–98.4), respectively. The Smk-ICT kit might be useful to assess the prevalence of disease before establishing transmission control and mass deworming campaigns in countries in the Mekong River subregion. [ABSTRACT FROM AUTHOR]
- Subjects :
- SCHISTOSOMIASIS
IMMUNOASSAY
ENDEMIC diseases
DIAGNOSIS
DISEASE prevalence
TRICHINOSIS
Subjects
Details
- Language :
- English
- ISSN :
- 15303667
- Volume :
- 22
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- Vector-Borne & Zoonotic Diseases
- Publication Type :
- Academic Journal
- Accession number :
- 154686149
- Full Text :
- https://doi.org/10.1089/vbz.2021.0053