학술논문

Assessing the potential for improved predictive capacity of antimicrobial resistance in outpatient Staphylococcus aureus isolates using seasonal and spatial antibiograms
Document Type
Academic Journal
Source
Antimicrobial Resistance and Infection Control. March 22, 2024, Vol. 13 Issue 1
Subject
United States. Veterans Health Administration
Tetracycline -- Health aspects
Staphylococcus aureus -- Health aspects
Hospitals -- Health aspects
Drug resistance in microorganisms -- Health aspects
Infection -- Health aspects
Staphylococcus aureus infections -- Health aspects
Methicillin -- Health aspects
Medical care -- Quality management
Tetracyclines -- Health aspects
Disease susceptibility -- Health aspects
Language
English
ISSN
2047-2994
Abstract
Background While the use of cumulative susceptibility reports, antibiograms, is recommended for improved empiric therapy and antibiotic stewardship, the predictive ability of antibiograms has not been well-studied. While enhanced antibiograms have been shown to better capture variation in susceptibility profiles by characteristics such as infection site or patient age, the potential for seasonal or spatial variation in susceptibility has not been assessed as important in predicting likelihood of susceptibility. Methods Utilizing Staphylococcus aureus isolates obtained in outpatient settings from a nationwide provider of care, the Veterans Health Administration, and a local provider of care, the University of Iowa Hospitals and Clinics, standard, seasonal and spatial antibiograms were created for five commonly used antibiotic classes: cephalosporins, clindamycin, macrolides, tetracycline, trimethoprim/sulfamethoxazole. Results A total of 338,681 S. aureus isolates obtained in VHA outpatient settings from 2010 to 2019 and 6,817 isolates obtained in UIHC outpatient settings from 2014 to 2019 were used to generate and test antibiograms. Logistic regression modeling determined the capacity of these antibiograms to predict isolate resistance to each antibiotic class. All models had low predictive capacity, with areas under the curve of < 0.7. Conclusions Standard antibiograms are poor in predicting S. aureus susceptibility to antibiotics often chosen by clinicians, and seasonal and spatial antibiograms do not provide an improved tool in anticipating non-susceptibility. These findings suggest that further refinements to antibiograms may be necessary to improve their utility in informing choice of effective antibiotic therapy. Keywords: Antibiogram, Staphylococcus aureus, Seasonal, Spatial, Susceptibility
Author(s): Margaret Carrel[sup.1,4], Qianyi Shi[sup.2,3], Gosia S. Clore[sup.2,3], Shinya Hasegawa[sup.2,3], Matthew Smith[sup.2,3], Eli N. Perencevich[sup.2,3] and Michihiko Goto[sup.2,3] Background As antimicrobial resistance (AMR) increases in all healthcare settings, including outpatient [...]