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Record W2165833212 · doi:10.1086/649213

Health Care–Associated<i>Clostridium difficile</i>Infection in Canada: Patient Age and Infecting Strain Type Are Highly Predictive of Severe Outcome and Mortality

2009· article· en· W2165833212 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueClinical Infectious Diseases · 2009
Typearticle
Languageen
FieldMedicine
TopicClostridium difficile and Clostridium perfringens research
Canadian institutionsMontreal Children's HospitalUniversity Health NetworkPublic Health Agency of CanadaUniversity of Alberta HospitalSt. John’s Health Sciences CentreMount Sinai HospitalHealth Sciences CentreAlberta Hospital EdmontonMcGill University Health CentreSunnybrook Health Science CentreJewish General Hospital
Fundersnot available
KeywordsMedicineClostridium difficileIntensive care unitIncidence (geometry)PopulationColectomyInternal medicineInfection controlStrain (injury)PediatricsDiseaseIntensive care medicineMicrobiologyAntibiotics

Abstract

fetched live from OpenAlex

BACKGROUND: C. difficile infection (CDI) has become an important and frequent nosocomial infection, often resulting in severe morbidity or death. Severe CDI is more frequently seen among individuals infected with the emerging NAP1/027/BI (NAP1) strain and in the elderly population, but the relative importance of these 2 factors remains unclear. We used a large Canadian database of patients with CDI to explore the interaction between these 2 variables. METHODS: The Canada-wide CDI study, performed in 2005 by the Canadian Nosocomial Infection Surveillance Program (CNISP), was used to analyze the role of infecting strain type and patient age on the severity of CDI. A severe outcome was defined as CDI requiring intensive care unit care, colectomy, or causing death (directly or indirectly) within 30 days after diagnosis. RESULTS: A total of 1008 patients in the CNISP database had both complete clinical data and infecting strain analysis documented. A total of 311 patients (31%) were infected with the NAP1 strain, 83 (28%) were infected with the NAP2/J strain, and the rest were infected with various other types. The proportion of NAP1 infections correlated with the incidence and the severity of CDI when analyzed by province. Thirty-nine (12.5%) of the infections due to the NAP1 strain resulted in a severe outcome, compared with only 41 (5.9%) of infections due to the other types (P < .001). The patient's age was strongly associated with a severe outcome, and patients 60-90 years of age were approximately twice as likely to experience a severe outcome if the infection was due to NAP1, compared with infections due to other types. CONCLUSIONS: Our study confirms the strong age association with infection due to the NAP1 strain and severe CDI. In addition, patients 60-90 years of age infected with NAP1 are approximately twice as likely to die or to experience a severe CDI-related outcome, compared with those with non-NAP1 infections. Patients >90 years of age experience high rates of severe CDI, regardless of strain type.

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)0.000
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.117
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
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 head0.040
GPT teacher head0.359
Teacher spread0.319 · 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