Objectives/Goals: The objective of CPAP Mask this project was to develop electronic health record-based algorithms, or computational phenotypes, for carbapenem-resistant Enterobacterales (CRE) and extended-spectrum beta-lactamase-producing Enterobacterales (ESBL) infections based on public health surveillance case definitions.Methods/Study Population: We analyzed electronic health records (EHR) from a retrospective cohort of patients within the University of Colorado Health System.We detected CRE and ESBL infections using a set of string-matching algorithms for bacterial organism, specimen source, and antibiotic susceptibility test results.
Infections were limited to the first case of each organism per patient in a 30-day period.We conducted manual chart review on a subset of cases and non-cases for validation purposes.We then performed a descriptive analysis to examine demographic characteristics of patients with CRE and ESBL infections including sex, age, infection type, and organism.
All analyses were conducted using R statistical software.Results/Anticipated Results: There were 634 CRE infections from 2013 to 2023, with the majority from urine (n = 448, 70.7%) or blood specimens (n = 56, 8.
8%).Over half of CRE case-patients were female (n = 362, 57.1%).
The mean age was 65.0 years.Most isolates were identified as Enterobacter cloacae complex species (n = 353, 55.
6%).There was a total of 4,363 ESBL infections from 2019 to 2023, and most were urine (n = 3,550, 81.4%) or blood specimens (n = 457, 10.
5%).Most ESBL case-patients were female (n = 3,030, 69.4%) with a mean age of 61.
2 years.The majority of isolates were identified as Escherichia coli (n = 2,932, 67.2%), followed by Klebsiella pneumoniae (n = 368, 8.
4%).Validation results are pending, including sensitivity and specificity of the algorithms.Discussion/Significance of Impact: Demographic characteristics of CRE and ESBL case-patients were similar to findings from traditional public health surveillance.
The algorithms will supplement traditional surveillance methods, Anti-Spatter inform future epidemiological research using EHR data, as well as contribute to the development of standardized EHR-based definitions for CRE and ESBL.