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medicine

Multiattribute Analysis of Trichomonas vaginalis Diagnostics and Its Correlation with Clinical Complaints and Contraceptive Methods in a Symptomatic Egyptian Cohort

Infectious Diseases in Obstetrics and Gynecology, Volume 2021, Article 5525095, Year 2021

Background. Trichomonas vaginalis (T. vaginalis) infection has been long considered among the sexually transmitted diseases that possesses a clear effect on women's health especially in the childbearing period. Methods. A 234 females of age range 18-45 years old attending the Gynecology and Obstetrics Outpatient Clinic of Kasr El Aini Hospitals were enrolled in a cross-sectional study. The taken vaginal swabs were subjected to wet mount microscopy, Giemsa stain, modified Diamond's culture, and nested polymerase chain reaction (nPCR) amplification. Multiattribute and analytical hierarchy processes were conducted to detect laboratory utility. Univariate and multivariate analyses were done to detect the multiple risk factors that may be associated with Trichomonas infection. Results. Based on nPCR, the prevalence of trichomoniasis was 26.9%. Wet mount, Giemsa stain, and culture showed 100% specificity but of low sensitivity (28.57%, 28.57%, and 57.14%, respectively). On the multivariate analysis, nPCR showed the highest rank for diagnostic performance and culture had the lowest rank. For univariate analysis, there was a significant correlation between T. vaginalis infection and vaginal discharge, burning sensation, dyspareunia, and the use of intrauterine device (IUD) (P value < 0.05). Conclusion. The routine screening of trichomoniasis using nPCR was reliable, sensitive, and specific. Also, it could financially be considered a more suitable option in batch screening. Significant higher rates of infection were reported among IUD users compared to condom or hormonal-based methods.
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Citations: 3
Authors: 3
Affiliations: 3
Identifiers
Research Areas
Health System And Policy
Sexual And Reproductive Health
Study Design
Cross Sectional Study
Cohort Study
Study Approach
Quantitative
Participants Gender
Female