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Record W4412365265 · doi:10.1186/s13756-025-01602-w

The evolving epidemiology of Carbapenemase-producing Enterobacterales in Canadian acute care facilities, 2010–2023

2025· article· en· W4412365265 on OpenAlexafffundabout
Robyn Mitchell, Laura Mataseje, Joëlle Cayen, Erin McGill, Kristine Cannon, Ian Davis, Tamara Duncombe, Chelsey Ellis, Jennifer Ellison, Jennifer Happe, Susy Hota, Kevin Katz, Pamela Kibsey, Santina Lee, Jerome A. Leis, Xena X. Li, Allison McGeer, Jessica Minion, Sonja Musto, Connie Patterson, Ewa Rajda, Stephanie Smith, Jocelyn A. Srigley, Kathryn N. Suh, Nisha Thampi, Jen Tomlinson, Joseph Vayalumkal, Kristen Versluys, Titus Wong, Yves Longtin

Bibliographic record

VenueAntimicrobial Resistance and Infection Control · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAntibiotic Resistance in Bacteria
Canadian institutionsInterior HealthChildren's Hospital of Eastern OntarioProvincial Health Services AuthorityB.C. Women's Hospital & Health CentreFraser HealthBC Children's HospitalSunnybrook Health Science CentreChildren's & Women's Health Centre of British ColumbiaAlberta Children's HospitalIsland HealthSaskatchewan HealthSaskatchewan Health AuthorityMoncton HospitalOttawa HospitalUniversity of AlbertaUniversity Health NetworkHealth Sciences CentreSinai Health SystemNorth York General HospitalDalhousie UniversityJewish General HospitalAlberta Health ServicesMcGill University Health CentrePublic Health Agency of Canada
FundersPublic Health AgencyPublic Health Agency of Canada
KeywordsMedicineEpidemiologyInfection controlMedical microbiologyIncidence (geometry)Health careReceiptAcute careEmergency medicineInternal medicineIntensive care medicineVirology

Abstract

fetched live from OpenAlex

Abstract Background Carbapenemase-producing Enterobacterales (CPE) are associated with substantial morbidity and mortality with limited treatment options and have an ability to spread rapidly in healthcare settings. We analyzed surveillance data from the Canadian Nosocomial Infection Surveillance Program to describe trends and the epidemiology of CPE from 2010 to 2023. Methods Participating acute-care hospitals submitted eligible isolates to the National Microbiology Laboratory for detection of carbapenemase genes. Trained infection control professionals applied standardized definitions to collect epidemiological data by chart review from 30–97 hospitals from 2010 to 2023. Results The national incidence of CPE infection (0.03 to 0.14 per 10,000 patient days; R 2 = 0.76) and colonization (0.02 to 0.78 per 10,000 patient days; R 2 = 0.83) increased exponentially from 2010 to 2023. We identified rapidly rising rates of healthcare-associated (HA) CPE infections from 2019 to 2023 (0.05 to 0.09 per 10,000 patient-days, p = 0.04), attributed to select hospitals (7/97) which accounted for half (53%) of all HA-CPE infections in 2023. Similarly, we identified that 2023 HA-CPE colonization rates were highest in medium (201–499 beds) and large (≥500 beds) hospitals in the Central region. Most patients did not report international travel (66%) nor receipt of medical care abroad (74%). Travel and receipt of medical care were less commonly reported among bla KPC associated cases (7.1% and 5.3% respectively) compared to bla NDM (55% and 45% respectively) and bla OXA-48 (57% and 39%) associated cases. Furthermore, bla KPC was the predominant carbapenemase among all HA-CPE isolates (62%, 950/1,534). Conclusions Surveillance data from a national network of Canadian acute care hospitals indicates that while the incidence of CPE in Canada remains low, it is accelerating at an exponential rate. Our findings suggest that nosocomial transmission is driving the recent increase in CPE incidence in Canada. Improved infection control measures and antimicrobial stewardship as well as access to newer antimicrobials are all urgently needed.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.558
Threshold uncertainty score0.952

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.248
Teacher spread0.242 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations9
Published2025
Admission routes3
Has abstractyes

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