Abstract
Background Absence of rapid antimicrobial resistance testing of Neisseria gonorrhoeae (Ng) hinders personalized antibiotic treatment. To enable rapid ciprofloxacin prescription, a real-time polymerase chain reaction (PCR) for simultaneous detection of Ng and fluoroquinolone resistance-associated gyrA-S91F mutation was evaluated. Methods Analytical NGRES quantitative PCR kit (NYtor BV) performance was assessed on 50 Ng transcription-mediated amplification (TMA)-negative and 100 Ng TMA-positive samples. To assess clinical use, 200 samples were prospectively analyzed, in parallel to routine diagnostic tests. Also, 50 urine, 50 anal, 50 pharyngeal, and 50 vaginal Ng TMA-positive samples were retrospectively analyzed. To assess if patients carried strains with different ciprofloxacin sensitivity at different anatomical locations, 50 urine/anal or vaginal/anal sample pairs collected during a single visit were analyzed. Results The NGRES quantitative PCR kit showed 97% sensitivity and 100% specificity for Ng detection and 92% sensitivity and 99% specificity for gyrA-S91F detection. Relative to TMA results, 85% Ng detection sensitivity and 99% specificity were found. Regarding the 200 prospectively analyzed clinical samples, 13 were Ng positive, of which 10 were also tested for antibiotic susceptibility by culture. The kit showed concordance for GyrA-S91F detection in 9 of 10 samples. Ng was detected in 96% and 94% of vaginal and urine TMA-positive samples, in 84% of anal samples and only in 22% of pharyngeal samples. Discordant ciprofloxacin sensitivity was found for 2 of 26 characterized urine/anal sample pairs. Conclusion The NGRES quantitative polymerase chain reaction (qPCR) kit can be implemented in diagnostic testing for vaginal, urine, and anal Ng TMA-positive samples to enable rapid prescription of oral ciprofloxacin.
| Original language | English |
|---|---|
| Pages (from-to) | 238-242 |
| Number of pages | 5 |
| Journal | Sexually transmitted diseases |
| Volume | 47 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 1 Apr 2020 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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