Spatial clusters of dominant lineages of uropathogenic Escherichia coli in a community dwelling patient population

Introduction Antimicrobial resistance (AMR) is a major public health concern, especially in the clinical management of urinary tract infections (UTIs). While use of antimicrobial agents selects for AMR bacterial strains, it remains unclear if this factor alone drives the prevalence of UTIs caused by AMR uropathogenic Escherichia coli (UPEC) in community settings. Local prevalence of AMR UTIs may be largely influenced by spatial clusters of already-resistant sequence types within a community rather than by the initial selection of resistant strains by antimicrobial agents. The goal of this study is to examine geospatial clustering of UTI by common AMR UPEC ST lineages. Methods We collected 551 UPEC isolates from patients receiving care in a San Francisco public healthcare system from April to September 2019. Isolates underwent multiplex PCR for rapid identification of pandemic UPEC STs (ST69, ST73, ST95, ST131) and were linked with electronic health records data. We conducted Global Moran’s I and Local Moran’s I to detect spatial clusters of each pandemic ST lineage. Results Forty five percent of UPEC isolates (N = 247) were identified as pandemic ST lineages. ST131 comprised 72 (29%) of the pandemic ST lineages and contributed the most multidrug resistant isolates (resistant to ≥ 3 classes of antibiotics) (N = 29). Spatial clusters of ST95, ST131 and ST69 (p < 0.001, p < 0.001, p = 0.008, respectively) were identified. Conclusion We found spatial clusters of community-onset bacteriuria caused by predominant ST lineages, suggesting common-source outbreaks. This novel approach may inform future surveillance efforts to reduce community transmission of AMR UPEC and provides the basis for future investigations of environmental risk factors for AMR UTI.