Utility and Limitations of an Aggregate Community Antibiogram, Dallas County, Texas, 2009–2015

Woldai, Senait; Ward, Michelle; Hughes, Sonya M.; Sexton, Taylor; Tran, Judy; Chung, Wendy

doi:10.1093/ofid/ofw172.1139

Cited by 2 publications

(1 citation statement)

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“…Thus, even for the largest provider of healthcare in the US, generating spatial antibiograms while following the CLSI recommendation only to use data with 30 or more isolates is difficult. The creation of community-level antibiograms, ranging from facilities in a single county to multi-county, has been suggested as a tool for facilities that may otherwise fail to meet the ≥ 30 isolate minimum [31,32]. This, however, poses a challenge for greater granularity in considering the social and environmental characteristics of places where patients reside and how this can impact the susceptibility profiles of their infections.…”

Section: Discussionmentioning

confidence: 99%

Assessing the potential for improved predictive capacity of antimicrobial resistance in outpatient Staphylococcus aureus isolates using seasonal and spatial antibiograms

Carrel,

Shi,

Clore

et al. 2024

Antimicrob Resist Infect Control

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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.

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Section: Discussionmentioning

confidence: 99%

Assessing the potential for improved predictive capacity of antimicrobial resistance in outpatient Staphylococcus aureus isolates using seasonal and spatial antibiograms

Carrel,

Shi,

Clore

et al. 2024

Antimicrob Resist Infect Control

View full text Add to dashboard Cite

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Antimicrobial Susceptibility and Resistance Patterns in Urine Cultures - A Single-Center Experience

Chaudhri

Masud²,

Shehzad³

et al. 2020

JRMC

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Background: Antimicrobial resistance is a threatening global medical challenge. Its prevalence is on the rise, more so in developing countries like Pakistan. It is pivotal to know and follow the local drug sensitivity and resistance pattern for effective empirical treatment of urinary tract infections. Objectives: To evaluate antibiotic susceptibility and resistant patterns of different urinary pathogens in cultures among patients presented in a tertiary care hospital. Materials and Methods: A Descriptive Cross-sectional study was carried out at the Department of Nephrology and Microbiology Holy Family Hospital, Rawalpindi Medical University from January 2018 to July 2018. All the samples from patients suspected to be suffering from UTI that were ordered a urine culture by attending doctors were recruited for the study and were sent to the central pathology laboratory of the hospital. All urine cultures performed in HFH were recruited for the study including both inpatient and outpatient departments. Data were collected in a structured performa and were entered and analyzed in SPSS version 21.0. Results: 402/1216 (33.0 %) urine samples had positive bacterial growths. Females accounted for the majority of 61.6% of cases. E.coli was the most common isolate 42.7%, followed by Klebsiella spp. 17.5%. E.coli exhibited high antimicrobial resistance, with the least resistance to fosfomycin 13.6%. E.coli, Klebsiella spp. and pseudomonas showed significant coresistance to Ceftazidime and ciprofloxacin. Conclusion: Emergence of high AMR in a developing country like Pakistan can have grave clinical and economic implications. It adversely impacts all aspects of patient care. It limits therapeutic options and leads to treatment failure. Keywords: Antimicrobial resistance, Healthcare-associated UTI, healthcare-associated infections, uropathogenic E. coli, extended-spectrum beta-lactamases, multidrug-resistant.

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Utility and Limitations of an Aggregate Community Antibiogram, Dallas County, Texas, 2009–2015

Cited by 2 publications

References 0 publications

Assessing the potential for improved predictive capacity of antimicrobial resistance in outpatient Staphylococcus aureus isolates using seasonal and spatial antibiograms

Assessing the potential for improved predictive capacity of antimicrobial resistance in outpatient Staphylococcus aureus isolates using seasonal and spatial antibiograms

Antimicrobial Susceptibility and Resistance Patterns in Urine Cultures - A Single-Center Experience

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