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Cumulative Antimicrobial Susceptibility Data from Intensive Care Units at One Institution: Should Data Be Combined?
Aaron Campigotto1, Matthew P Muller2, Linda R Taggart2
1Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada.
Abstract:
Cumulative susceptibility test data (CSTD) are used to guide empirical antimicrobial therapy and to track trends in antibiotic resistance. The Clinical and Laboratory Standards Institute recommends reporting CSTD at least annually and sets the minimum number of isolates per reported organism at 30. To comply, many hospitals combine data from multiple intensive care units (ICUs); however, this may not be appropriate to guide empirical therapy because of variations in patient populations. In this study, susceptibility data for two different ICUs at a tertiary care hospital in Toronto, Canada, were used to create a traditional CSTD report, which combined data from different ICUs, and a rolling-average CSTD report, which pooled 2 years of data for each ICU separately. For simplicity, data for only the most common Gram-negative organisms (Escherichia coli,Pseudomonas aeruginosa) and the most relevant antibiotics (ciprofloxacin, piperacillin-tazobactam) were examined. With the rolling-average method, significant differences in susceptibility were seen between the ICUs in 50% of the organism-antimicrobial combinations. Furthermore, the 3% median year-over-year difference in susceptibilities seen for the 16 organism-antibiotic combinations by using the traditional method was lower than the 14% median difference seen for the 20 between-ICU within-year comparisons obtained using the rolling-average method. Changes in our selection of empirical antibiotics resulted from this revised approach, and our results suggest that pooling data from ICUs with different patient populations may not be appropriate. A rolling-average method may be an appropriate strategy for the creation of individual-unit CSTD reports.
Insights
Pooling intensive care unit (ICU) susceptibility data may mask important resistance trends. A rolling-average method for cumulative antimicrobial susceptibility test data (CSTD) better reflects unit-specific resistance patterns, improving empirical therapy guidance.
Area of Science:
- Clinical Microbiology
- Infectious Diseases
- Hospital Epidemiology
Background:
- Cumulative antimicrobial susceptibility test data (CSTD) are crucial for guiding empirical therapy and monitoring antibiotic resistance trends.
- Current guidelines recommend annual CSTD reporting, often leading hospitals to aggregate data from multiple intensive care units (ICUs).
- Aggregating data across diverse ICU patient populations may obscure significant variations in antimicrobial resistance.
Purpose of the Study:
- To evaluate the appropriateness of combining CSTD from different ICUs for empirical therapy guidance.
- To compare a traditional CSTD reporting method with a novel rolling-average CSTD method.
- To assess the impact of different CSTD aggregation strategies on identifying antimicrobial resistance variations.
Main Methods:
- Susceptibility data for common Gram-negative organisms (Escherichia coli, Pseudomonas aeruginosa) and key antibiotics were analyzed.
- Two methods were employed: a traditional CSTD combining data from two ICUs and a rolling-average CSTD pooling 2 years of data per ICU.
- Organism-antimicrobial combinations were examined to identify differences in susceptibility between ICUs and over time.
Main Results:
- The rolling-average method revealed significant between-ICU susceptibility differences in 50% of organism-antimicrobial combinations.
- Median year-over-year susceptibility differences were 3% with the traditional method versus 14% for between-ICU comparisons using the rolling-average method.
- The revised approach led to changes in empirical antibiotic selection, highlighting the limitations of pooled ICU data.
Conclusions:
- Pooling CSTD from ICUs with distinct patient populations may not accurately guide empirical antimicrobial therapy.
- A rolling-average CSTD method offers a more granular approach, providing unit-specific resistance data.
- Implementing a rolling-average strategy can enhance the accuracy of CSTD for individual ICUs and improve antimicrobial stewardship.
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