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Record W4311736951 · doi:10.1093/ofid/ofac492.1414

1784. Appropriateness of Intravenous Vancomycin in a Canadian Acute Care Hospital

2022· article· en· W4311736951 on OpenAlexaffabout
Heather Glassman, Arif Ismail, Stephanie Smith, Jackson J Stewart, Cecilia Lau, Dima Kabbani, Justin Z. Chen

Bibliographic record

VenueOpen Forum Infectious Diseases · 2022
Typearticle
Languageen
FieldMedicine
TopicAntimicrobial Resistance in Staphylococcus
Canadian institutionsAlberta Health ServicesUniversity of Alberta
Fundersnot available
KeywordsMedicineMedical prescriptionFormularyVancomycinAntimicrobial stewardshipEmergency medicineIntensive care medicinePediatricsAntibioticsFamily medicineStaphylococcus aureusAntibiotic resistance

Abstract

fetched live from OpenAlex

Abstract Background Intravenous (IV) vancomycin is a commonly prescribed antimicrobial. However, there is limited literature assessing IV vancomycin appropriateness. The objective of the study was to assess the appropriateness of IV vancomycin prescriptions in a Canadian acute care hospital. Methods Prospective audit and feedback (PAF) was conducted on all new IV vancomycin prescriptions in hospitalized adults (age ≥ 18 years) at the University of Alberta Hospital from January 17 to February 11, 2022. Appropriateness was assessed against institutional prescribing guidelines (Bugs & Drugs® and Alberta Health Services Formulary Prescribing Guidelines). Verbal and written feedback were provided to the attending teams. Results A total of 109 prescriptions were audited. Median age was 57 (IQR 43-72) years and 42% were female. 65 (60%) were admitted to Medicine, 18 (17%) to Surgery, and 26 (24%) to Intensive Care units. MRSA colonization was present in 32 (29%) patients, β-lactam allergy recorded in 21 (19%), and acute kidney injury (AKI) in 21 (19%). Infectious Diseases consultation (IDC) occurred in 29 (27%). The top indications were skin and soft tissue, pulmonary, and bloodstream infections (Table 1); 70% of prescriptions were empiric in nature. Overall, 43 (39%) prescriptions were assessed to be suboptimal. Antimicrobial Stewardship program (ASP) recommendations were made in 56 prescriptions, totaling 63 unique recommendations. Vancomycin was recommended to be discontinued in 24 (43%) cases or changed to a different agent in 15 (27%). Regimen optimization (duration or frequency change) was recommended in 4 (7%). ASP recommended investigations in 8 cases and IDC in 12. Full or partial acceptance was achieved in 49 cases (88%). IDC was associated with greater appropriateness (83% vs 53%, p=0.004) as was MRSA colonization (75% vs 55%, p=0.047), but AKI was not (62% vs 60%, p=0.888). Adjusting for age, AKI, and MRSA colonization, IDC remained a significant predictor of vancomycin appropriateness (OR=4.27, [95%CI 1.44-12.70]; p=0.009). Conclusion IV vancomycin prescriptions were suboptimal in 39% of cases. IDC was associated with increased appropriateness. This pilot informs the need for antimicrobial stewardship intervention and the importance of IDC at our center. Disclosures Dima Kabbani, MD, MSc, AVIR Pharma: Grant/Research Support|AVIR Pharma: Honoraria|GSK: Honoraria|Merck: Grant/Research Support.

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)0.011
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 score0.041
Threshold uncertainty score0.260

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0020.001
Scholarly communication0.0020.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.005
GPT teacher head0.253
Teacher spread0.249 · 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".

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Citations0
Published2022
Admission routes2
Has abstractyes

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