MétaCan
Menu
Back to cohort
Record W1869464035 · doi:10.1093/ofid/ofu052.147

281Regional Changes in Methicillin-Resistant Staphylococcus aureus in Purulent Skin and Soft Tissue Infections among Patients Presenting to Canadian Emergency Departments

2014· article· en· W1869464035 on OpenAlexaffabout
Wil Ng, Bjug Borgundvaag, Brian H. Rowe, Barbara Willey, Vanessa Porter, Andrew E. Simor, Allison McGeer, Michelle Loftus, Kevin Katz

Bibliographic record

VenueOpen Forum Infectious Diseases · 2014
Typearticle
Languageen
FieldMedicine
TopicAutoimmune and Inflammatory Disorders
Canadian institutionsUniversity of Alberta HospitalHealth Sciences CentreMount Sinai HospitalAlberta Hospital EdmontonSchwartz/Reisman Emergency Medicine InstituteSunnybrook Health Science CentreNorth York General Hospital
Fundersnot available
KeywordsMedicineMethicillin-resistant Staphylococcus aureusStaphylococcus aureusSoft tissueEmergency departmentStaphylococcal Skin InfectionsSkin infectionStaphylococcal infectionsDermatologyMicrobiologySurgeryBacteria

Abstract

fetched live from OpenAlex

Background. Community-associated methicillin-resistant Staphylococcus aureus (MRSA) has emerged as a leading cause of purulent skin and soft tissue infections (SSTI) in many areas of the world. The evolving epidemiology of MRSA in SSTIs across Canada is seldom described. This study characterizes the changing prevalence and microbiology of MRSA in patients presenting to emergency departments (EDs) across Canada over half a decade. Methods. Using a prospective, observational design, we enrolled patients presenting to 27 hospital EDs (spanning 7 provinces) with acute purulent SSTIs over 3 phases: P1 - July 1, 2008 to April 30, 2009; P2 - January 16, 2012 to November 30, 2012; and P3 - April 28, 2013 to March 31, 2014. Participating EDs agreed to collect wound swabs on all patients presenting with purulent SSTIs. Eligible patients were those whose wound cultures grew S. aureus. Antimicrobial susceptibility testing by broth microdilution in accordance with CLSI guidelines was undertaken on all isolates. Structured chart audits were undertaken. Simple proportions are reported at site, regional and provincial levels and compared using Chi-squared/Fisher exact test, as appropriate. Results. A total of 4752 (P1: 1340; P2: 1622; P3: 1790) S. aureus positive encounters were recorded over the 3 phases. Accounting for all sites, the overall MRSA prevalence decreased significantly between P1 (31%) and P2 (27%, p = 0.002), and remained unchanged in P3 (28%, p = 0.42). A similar trend was observed among the 12 sites that participated in all 3 phases (P1 vs P2: p = 0.004; P2 vs P3: p = 0.70). Among the 18 sites participating in at least two study phases, most (61%) experienced a declining trend in MRSA prevalence, while 28% of them observed an increase (3 Ontario and 2 Alberta sites). City-level analyses revealed variability in the MRSA prevalence. Most cities experienced a decrease in the prevalence. Overall, the highest prevalence was seen in the western provinces of British Columbia (P1: 44%, P2: 66%, P3: 53%), Saskatchewan (P2: 47%, P3: 48%), and Alberta (P1: 48%, P2: 28%, P3: 31%) during all phases, while the lowest prevalence was observed in Quebec (P1: 20%, P2: 19%, P3: 11%). Conclusion. MRSA epidemiology continues to evolve across Canada. While the overall Canadian prevalence of MRSA in SSTIs remains substantial, it is variable across the country, and appears to be decreasing regionally. Disclosures. All authors: No reported disclosures.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.042
Threshold uncertainty score0.119

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.004
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.009
GPT teacher head0.269
Teacher spread0.260 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2014
Admission routes2
Has abstractyes

Explore more

Same venueOpen Forum Infectious DiseasesSame topicAutoimmune and Inflammatory DisordersFrench-language works237,207