Regional-local urinary antibiograms for long-term care homes: a population-wide cross-sectional study

Antibiograms are challenging to construct in long-term care (LTC) homes in part due to low isolate counts and limited precision. Regional-local antibiograms offer a potential solution by using partial pooling, combining data from both the home and the broader LTC population. We developed regional-local urinary antibiograms and compared this approach to standard antibiograms. This cross-sectional study included urine cultures from LTC residents across Ontario. (i) Standard syndromic combined antibiograms were created for each LTC home with ≥30 total isolates. Homes with <30 isolates used the mean of susceptibility for each drug for the entire province. (ii) Partially pooled regional-local antibiograms were constructed using logistic mixed models with a random intercept for each home to ensure each LTC home could be provided a facility-specific antibiogram. We compared susceptibility and rank order of recommended antibiotics using each method. Among 627 LTC homes, 340 (54.2%) met the ≥30 isolate threshold. Regional-local methods allowed for the development of 627 LTC home-specific antibiograms. These methods narrowed susceptibility estimate ranges compared to standard methods (e.g., trimethoprim-sulfamethoxazole [TMP-SMX]: 57%-77% vs 37%-90%, respectively). A total of 119 (19.0%) homes had at least one antibiotic with over 80% susceptibility using the standard approach; only 11 (1.8%) homes met this threshold with the regional-local antibiogram. The antibiotic with the highest susceptibility varied based on methodology (amoxicillin-clavulanate for standard vs TMP-SMX for regional-local antibiogram). Regional-local antibiograms allow for the creation of facility-specific antibiograms, even among facilities with small isolate counts. This approach may provide more precise antibiotic susceptibility estimates by reducing misleading inter-facility variation.IMPORTANCELocal antibiograms can help inform empiric antibiotic treatment for long-term care residents with urinary tract infections. However, many facilities have too few isolates to create precise susceptibility estimates. A regional-local antibiogram is a novel strategy that uses a weighted approach: it prioritizes local data where available, but increasingly uses regional population-level data for homes with smaller sample sizes to improve statistical precision and reduce misleading inter-facility variation. This regional-local approach allows for the development of facility-specific antibiograms for a greater number of homes compared to traditional methods of developing antibiograms.

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Publication Details

Journal
Journal of Clinical Microbiology
Published
2026-04-27
DOI
https://doi.org/10.1128/jcm.01223-25
Primary Topic
Urinary Tract Infections Management
Type
article
Field-Weighted Citation Impact
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article

Regional-local urinary antibiograms for long-term care homes: a population-wide cross-sectional study

Lucas Castellani, Kevin L. Schwartz, Ian Langleben, Dan Dalton et al.
Journal of Clinical Microbiology
Urinary Tract Infections Management
article

Regional-local urinary antibiograms for long-term care homes: a population-wide cross-sectional study

Lucas Castellani, Kevin L. Schwartz, Ian Langleben, Dan Dalton, Kevin Antoine Brown, Sarah Swayze, Valerie Leung, Bradley J. Langford, Anjali Oberai, Fiona Emdin, Samantha Lee, Larissa Matukas, Nick Daneman
article en

Abstract

Antibiograms are challenging to construct in long-term care (LTC) homes in part due to low isolate counts and limited precision. Regional-local antibiograms offer a potential solution by using partial pooling, combining data from both the home and the broader LTC population. We developed regional-local urinary antibiograms and compared this approach to standard antibiograms. This cross-sectional study included urine cultures from LTC residents across Ontario. (i) Standard syndromic combined antibiograms were created for each LTC home with ≥30 total isolates. Homes with <30 isolates used the mean of susceptibility for each drug for the entire province. (ii) Partially pooled regional-local antibiograms were constructed using logistic mixed models with a random intercept for each home to ensure each LTC home could be provided a facility-specific antibiogram. We compared susceptibility and rank order of recommended antibiotics using each method. Among 627 LTC homes, 340 (54.2%) met the ≥30 isolate threshold. Regional-local methods allowed for the development of 627 LTC home-specific antibiograms. These methods narrowed susceptibility estimate ranges compared to standard methods (e.g., trimethoprim-sulfamethoxazole [TMP-SMX]: 57%-77% vs 37%-90%, respectively). A total of 119 (19.0%) homes had at least one antibiotic with over 80% susceptibility using the standard approach; only 11 (1.8%) homes met this threshold with the regional-local antibiogram. The antibiotic with the highest susceptibility varied based on methodology (amoxicillin-clavulanate for standard vs TMP-SMX for regional-local antibiogram). Regional-local antibiograms allow for the creation of facility-specific antibiograms, even among facilities with small isolate counts. This approach may provide more precise antibiotic susceptibility estimates by reducing misleading inter-facility variation.IMPORTANCELocal antibiograms can help inform empiric antibiotic treatment for long-term care residents with urinary tract infections. However, many facilities have too few isolates to create precise susceptibility estimates. A regional-local antibiogram is a novel strategy that uses a weighted approach: it prioritizes local data where available, but increasingly uses regional population-level data for homes with smaller sample sizes to improve statistical precision and reduce misleading inter-facility variation. This regional-local approach allows for the development of facility-specific antibiograms for a greater number of homes compared to traditional methods of developing antibiograms.

Journal of Clinical Microbiology
Sunnybrook Health Science Centre (CA), 3M (United States) (US), University of Toronto (CA), Health Sciences Centre (CA), Health Net (US), Institute of Health Services and Policy Research (CA), Public Health Ontario (CA), IDEX Corporation (United States) (US), Impact (CA), Unity Health Toronto, NOSM University (CA), McMaster University (CA)
Openalex Percentile: Top 11%
Urinary Tract Infections Management
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