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Population-based genomic surveillance of Pseudomonas aeruginosa causing bloodstream infections in a large Canadian health region

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European Journal of Clinical Microbiology & Infectious Diseases Aims and scope Submit manuscript

Abstract

Purpose

Population-based surveillance was undertaken to determine clinical factors, susceptibility patterns, and incidence rates (IR) of Pseudomonas aeruginosa causing bloodstream infections (BSIs) in a Canadian region (2010–2018).

Methods

We combined clinical data with genomics to characterize P. aeruginosa (BSIs) (n = 167) in a well-defined Canadian (Calgary) human population over a 9-year period (2010–2018).

Results

The annual population IR per 100,000 patient years increased from 3.4/100,000 in 2010 to 5.9/100,000 in 2018, with the highest IRs in elderly males from the hospital setting. Over a quarter of patients presented with febrile neutropenia, followed by urinary tract infections and pneumonia. Antimicrobial resistance (AMR) rates and determinants were rare. The P. aeruginosa population was polyclonal consisting of three dominant sequence types (STs), namely ST244, ST111, and ST17. Antimicrobial-susceptible ST244 was the most common clone and belonged to three clades (A, B, C). The ST244 IR/100,000 increased over time due to the expansion of clade C. Multidrug-resistant ST111 was the second most common clone and IR/100,000 decreased over time. ST111 belonged to three clades (A, B, C) with clade C containing blaVIM-2. Different serotypes were linked to various STs. The IR/100,000 of P. aeruginosa that belonged to serotypes O6 increased significantly over time.

Conclusion

An effective multivalent vaccine consisting of five serotypes (O1, O3, O5, O6, O11) would confer protection to > 70% of Calgary residents with P. aeruginosa BSIs. This study has provided a unique perspective of the population dynamics over time of P. aeruginosa STs, clades, and serotypes responsible for BSIs.

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Data availability

Sequence data was uploaded to NCBI (BioProject PRJNA988909).

Code availability

Sequence data is available at NCBI (BioProject PRJNA988909).

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Funding

This work was supported by a research grant from the Alberta Precision Laboratories (#10026137).

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Authors and Affiliations

  1. Cummings School of Medicine, University of Calgary, #9, 3535 Research Road NW, Calgary, Alberta, T2L 2K8, Canada

    Gisele Peirano, Deirdre Church & Johann D. D. Pitout

  2. Alberta Precision Laboratories, Calgary, Alberta, Canada

    Gisele Peirano, Deirdre Church & Johann D. D. Pitout

  3. Kyoto University Graduate School of Medicine, Kyoto, Japan

    Yasufumi Matsumara

  4. Faculty of Veterinary Medicine, University of Calgary, Calgary, Alberta, Canada

    Diego Nobrega

  5. University of Pretoria, Pretoria, Gauteng, South Africa

    Johann D. D. Pitout

Authors
  1. Gisele Peirano
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  2. Yasufumi Matsumara
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  4. Deirdre Church
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  5. Johann D. D. Pitout
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Contributions

All authors designed the study and approved the manuscript. GP, YM, and DN performed WGS, bioinformatics, and statistical analysis. JP, DN, and DC combined the clinical and genomic data. JP wrote the first draft of the manuscript.

Corresponding author

Correspondence to Johann D. D. Pitout.

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Ethics approval for this study was obtained through the University of Calgary Conjoint Health Research Ethics Board (REB18-1123).

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Peirano, G., Matsumara, Y., Nobrega, D. et al. Population-based genomic surveillance of Pseudomonas aeruginosa causing bloodstream infections in a large Canadian health region. Eur J Clin Microbiol Infect Dis 43, 501–510 (2024). https://doi.org/10.1007/s10096-024-04750-w

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  • DOI: https://doi.org/10.1007/s10096-024-04750-w

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