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Record W3146419824 · doi:10.1016/s2666-5247(21)00005-7

Role of high-risk antibiotic use in incidence of health-care-associated Clostridioides difficile infection in Quebec, Canada: a population-level ecological study

2021· article· en· W3146419824 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueThe Lancet Microbe · 2021
Typearticle
Languageen
FieldMedicine
TopicClostridium difficile and Clostridium perfringens research
Canadian institutionsMcGill UniversityJewish General HospitalSte. Anne's HospitalInstitut National de Santé Publique du QuébecCentre hospitalier universitaire de QuébecCentre Intégré de Santé et de Services Sociaux du Bas-Saint-LaurentMcGill University Health CentreUniversité LavalUniversité de Montréal
FundersInstitut National de Santé Publique du Québec
KeywordsMedicineIncidence (geometry)ClindamycinPoisson regressionClostridioidesAntibioticsPopulationRate ratioEnvironmental healthEmergency medicineInternal medicineMicrobiology

Abstract

fetched live from OpenAlex

BACKGROUND: The incidence of health-care-associated Clostridioides difficile infections has been declining in the Canadian province of Quebec since 2015. We examined whether changes in high-risk antibiotic use could account for this decrease, as reported in other jurisdictions. METHODS: We did a retrospective interrupted time-series analysis of 12 hospitals in the Canadian province of Quebec, representing a quarter of all health-care-associated C difficile infections in this region between April 1, 2012, and March 31, 2017. Data for high-risk antibiotic use (eg, amoxicillin-clavulanate, cephalosporins, fluoroquinolones, and clindamycin) in defined daily doses (DDDs) were extracted from local surveillance databases, and incidences of health-care-associated C difficile infections were extracted from provincial surveillance databases. We used hierarchical segmented Poisson regression to assess whether variations in rates of health-care-associated C difficile infections followed variations in antibiotic use. FINDINGS: Overall, 4455 health-care-associated C difficile infections and 6 281 960 patient-days were reported in the 12 participating hospitals, representing around a quarter of the provincial data. A 50% decrease in the annual incidence of health-care-associated C difficile infections was recorded between 2012-13 and 2016-17 (9·4 infections per 10 000 patient-days vs 4·7 infections per 10 000 patient-days), and a 67% decrease in the proportion of these infections due to the NAP1/027 strain of C difficile was seen (64% in 2013 vs 21% in 2017). In total, 1 266 960 DDDs of high-risk antibiotics were distributed during the study period. An increasing time trend was noted in high-risk antibiotic use, reaching a total of 223 DDDs per 1000 patient-days in 2016-17. An increase of one DDD per 1000 patient-days was associated with a 0·2% increase in the rate of health-care-associated C difficile infections in the following 4-week period. A significant change in incidence of health-care-associated C difficile infections persisted despite adjustment for high-risk antibiotic use, as shown by a significant residual step change (0·825, 95% CI 0·731-0·932) and change in trend (0·987, 0·980-0·994). INTERPRETATION: Changes in use of high-risk antibiotics do not entirely account for the sudden decrease in health-care-associated C difficile infections in the Canadian province of Quebec since 2015. Further studies are needed to understand factors implicated in the change in epidemiology of health-care-associated C difficile infections. FUNDING: Institut National de Santé Publique du Québec.

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.

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)0.001
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 score0.014
Threshold uncertainty score0.547

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.034
GPT teacher head0.294
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