Analysis of Multidrug Resistance in Staphylococcus aureus with a Machine Learning-Generated Antibiogram-Reference-Cited by-同舟云学术

Analysis of Multidrug Resistance in Staphylococcus aureus with a Machine Learning-Generated Antibiogram

Published:2021-03-18 Issue:4 Volume:65 Page:
ISSN:0066-4804
Container-title:Antimicrobial Agents and Chemotherapy
language:en
Short-container-title:Antimicrob Agents Chemother

Author:

Cazer Casey L.¹^ORCID,Westblade Lars F.²³,Simon Matthew S.³,Magleby Reed³,Castanheira Mariana⁴^ORCID,Booth James G.⁵,Jenkins Stephen G.²³,Gröhn Yrjö T.¹

Affiliation:

1. Department of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, New York, USA

2. Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, New York, USA

3. Division of Infectious Diseases, Department of Medicine, Weill Cornell Medicine, New York, New York, USA

4. JMI Laboratories, North Liberty, Iowa, USA

5. Department of Statistics and Data Science, Cornell University, Ithaca, New York, USA

Abstract

Multidrug resistance (MDR) surveillance consists of reporting MDR prevalence and MDR phenotypes. Detailed knowledge of the specific associations underlying MDR patterns can allow antimicrobial stewardship programs to accurately identify clinically relevant resistance patterns.

Funder

HHS | NIH | NIH Office of the Director

Publisher

American Society for Microbiology

Subject

Infectious Diseases,Pharmacology (medical),Pharmacology

Link

https://journals.asm.org/doi/pdf/10.1128/AAC.02132-20

Reference45 articles.

1. Origin and Proliferation of Multiple-Drug Resistance in Bacterial Pathogens

2. Waves of resistance: Staphylococcus aureus in the antibiotic era

3. Associated antimicrobial resistance in Escherichia coli, Pseudomonas aeruginosa, Staphylococcus aureus, Streptococcus pneumoniae and Streptococcus pyogenes