Equations To Predict Antimicrobial MICs in Neisseria gonorrhoeae Using Molecular Antimicrobial Resistance Determinants

Author:

Demczuk Walter1,Martin Irene1,Sawatzky Pam1,Allen Vanessa2,Lefebvre Brigitte3,Hoang Linda4,Naidu Prenilla5,Minion Jessica6,VanCaeseele Paul7,Haldane David8,Eyre David W.91011,Mulvey Michael R.1

Affiliation:

1. National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Manitoba, Canada

2. Public Health Ontario Laboratories, Toronto, Ontario, Canada

3. Laboratoire de Santé Publique du Québec, Sainte-Anne-de-Bellevue, Québec, Canada

4. British Columbia Centres for Disease Control Public Health Microbiology & Reference Laboratory, Vancouver, British Columbia, Canada

5. Provincial Laboratory for Public Health, Edmonton, Alberta, Canada

6. Saskatchewan Disease Control Laboratory, Regina, Saskatchewan, Canada

7. Cadham Provincial Laboratory, Winnipeg, Manitoba, Canada

8. Queen Elizabeth II Health Sciences Centre, Halifax, Nova Scotia, Canada

9. Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom

10. National Institute for Health Research Biomedical Research Centre, Oxford, United Kingdom

11. Oxford National Institute for Health Research Health Protection Research Unit, Oxford, United Kingdom

Abstract

The emergence of Neisseria gonorrhoeae strains that are resistant to azithromycin and extended-spectrum cephalosporins represents a public health threat, that of untreatable gonorrhea infections. Multivariate regression modeling was used to determine the contributions of molecular antimicrobial resistance determinants to the overall antimicrobial MICs for ceftriaxone, cefixime, azithromycin, tetracycline, ciprofloxacin, and penicillin.

Publisher

American Society for Microbiology

Subject

Infectious Diseases,Pharmacology (medical),Pharmacology

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