Developing an algorithm for the diagnosis of abnormal vaginal discharge in a dutch clinical setting: a pilot study

Abnormal vaginal discharge may be caused by bacterial vaginosis, vulvovaginal candidiasis, trichomoniasis and/or aerobic vaginitis. For the development of a diagnostic algorithm, tree-based classification analysis was performed on symptoms, signs and bedside test results of 56 patients, and laboratory tests (culture, Nugent score, qPCRs) were compared. Amplicon sequencing of the 16S rRNA gene was used as reference test for bacterial vaginosis and aerobic vaginitis, culture for vulvovaginal candidiasis and qPCR for trichomoniasis. For bacterial vaginosis, the best diagnostic algorithm was to screen at the bedside with a pH and odour test and if positive, to confirm by qPCR (sensitivity 94%; specificity 97%) rather than Nugent score (sensitivity of 59%; specificity 97%; P = 0.031). The analysis for the other infections was less conclusive due to the low num -ber of patients with these infections. For bacterial vaginosis, the developed algorithm is sensitive, specific, and reduces the need for laboratory tests in 50% of the patients. (c) 2021 Elsevier Inc. All rights reserved.

Automated summary

This study investigated the diagnostic algorithm for abnormal vaginal discharge and found that for bacterial vaginosis, combining pH and odor test at bedside with qPCR confirmation is the best approach. The developed algorithm is sensitive, specific, and reduces the need for laboratory tests in 50% of patients with bacterial vaginosis.