Accurate detection of Neisseria gonorrhoeae ciprofloxacin susceptibility directly from genital and extragenital clinical samples: Towards genotype-guided antimicrobial therapy

Marcus J. Pond, Catherine L. Hall, Victoria F. Miari, Michelle Cole, Ken G. Laing, Heena Jagatia, Emma Harding-Esch, Irene M. Monahan, Timothy Planche, Jason Hinds, Catherine Ison, Stephanie Chisholm, Philip D. Butcher, Syed Tariq Sadiq*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

39 Citations (Scopus)

Abstract

Introduction: Increasing use of nucleic acid amplification tests (NAATs) as the primary means of diagnosing gonococcal infection has resulted in diminished availability of Neisseria gonorrhoeae antimicrobial susceptibility data. We conducted a prospective diagnostic assessment of a real-time PCR assay (NGSNP) enabling direct detection of gonococcal ciprofloxacin susceptibility from a range of clinical sample types. Methods: NGSNP, designed to discriminate an SNP associated with ciprofloxacin resistance within the N. gonorrhoeae genome, was validated using a characterized panel of geographically diverse isolates (n = 90) and evaluated to predict ciprofloxacin susceptibility directly on N. gonorrhoeae-positive NAAT lysates derived from genital (n = 174) and non-genital (n = 116) samples (n = 290), from 222 culture-confirmed clinical episodes of gonococcal infection. Results: NGSNP correctly genotyped all phenotypically susceptible (n = 49) and resistant (n = 41) panel isolates. Ciprofloxacin-resistant N. gonorrhoeae was responsible for infection in 29.7% (n = 66) of clinical episodes evaluated. Compared with phenotypic susceptibility testing, NGSNP demonstrated sensitivity and specificity of 95.8% (95% CI 91.5%-98.3%) and 100% (95% CI 94.7%-100%), respectively, for detecting ciprofloxacin-susceptible N. gonorrhoeae, with a positive predictive value of 100% (95% CI 97.7%-100%). Applied to urogenital (n = 164), rectal (n = 40) and pharyngeal samples alone (n = 30), positive predictive values were 100% (95% CI 96.8%-100%), 100% (95% CI 87.2%-100%) and 100% (95% CI 82.4%-100%), respectively. Conclusions: Genotypic prediction of N. gonorrhoeae ciprofloxacin susceptibility directly from clinical samples was highly accurate and, in the absence of culture, will facilitate use of tailored therapy for gonococcal infection, sparing use of current empirical treatment regimens and enhancing acquisition of susceptibility data for surveillance.

Original languageEnglish
Pages (from-to)897-902
Number of pages6
JournalJournal of Antimicrobial Chemotherapy
Volume71
Issue number4
DOIs
Publication statusPublished - 1 Apr 2016

Bibliographical note

Funding Information:
This work was supported by the UK Clinical Research Collaboration (Medical Research Council) Translation Infection Research Initiative Consortium (grant number G0901608). We thank the staff of the Medical Microbiology Department, St George?s University Hospitals NHS Foundation Trust.

Funding Information:
This work was supported by the UK Clinical Research Collaboration (Medical Research Council) Translation Infection Research Initiative Consortium (grant number G0901608). We thank the staff of the Medical Microbiology Department, St George’s University Hospitals NHS Foundation Trust.

Publisher Copyright:
© The Author 2016. Published by Oxford University Press on behalf of the British Society for Antimicrobial Chemotherapy.

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