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Record W2050245586 · doi:10.1093/cid/civ142

Pathway to Prevention of Nosocomial Clostridium difficile Infection

2015· article· en· W2050245586 on OpenAlexaffabout
Ellie J. C. Goldstein, Stuart Johnson, Pierre-Jean Maziade, Lynne V. McFarland, William E. Trick, Linda Dresser, Mathieu Millette, H. Mazloum, Donald E. Low

Bibliographic record

VenueClinical Infectious Diseases · 2015
Typearticle
Languageen
FieldMedicine
TopicClostridium difficile and Clostridium perfringens research
Canadian institutionsMount Sinai HospitalBio-K+ International (Canada)University of Toronto
FundersFeinberg School of MedicineNorthwestern University
KeywordsClostridium difficileMedicineClostridium InfectionsMicrobiologyCross infectionClostridiaceaeC difficileIntensive care medicineVirologyAntibioticsToxinBiology

Abstract

fetched live from OpenAlex

BACKGROUND: To address the significant morbidity and mortality rates associated with nosocomial Clostridium difficile-associated diarrhea (CDAD), a series of recommendations and a pathway to prevention were developed. METHODS: An expert panel of infectious disease (ID) specialists participated in a modified Delphi process with specific objectives: (1) conduct a review for CDAD and prevention; (2) develop statements based upon panel members' opinions; (3) hold a panel meeting during the 2012 IDWeek; and (4) review the final recommendations and prevention pathway prior to submission for publication. RESULTS: The panel voted on (1) antibiotic stewardship (7 of 8 panelists); (2) reduction of other potentially modifiable risk factors (variable); (3) utilization of specific probiotics to prevent C. difficile overgrowth (8/8); (4) staff education regarding CDAD preventive measures (8/8); (5) appropriate hand hygiene for everyone (7/8); (6) environmental cleaning (8/8); (7) medical equipment disinfection (7/8); (8) early detection of CDAD in symptomatic patients (7/8); (9) usage of protective clothing/gloves (8/8); (10) proper measures during outbreak (8/8); and (11) surveillance to monitor efficacy data of preventive measures (8/8). CONCLUSIONS: The panel members agreed with 11 of 17 recommendations presented. The additional recommendations by the panel were proton pump inhibitor use as a risk factor and the use of adjunctive therapy with specific probiotic, as it was approved by Health Canada for the risk reduction of CDAD in hospitalized patients.

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)0.001
metaresearch head score (Gemma)0.004
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 score0.186
Threshold uncertainty score0.968

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
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 head0.099
GPT teacher head0.412
Teacher spread0.313 · 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

Citations62
Published2015
Admission routes2
Has abstractyes

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