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Record W2273067096 · doi:10.1093/ofid/ofv133.1029

Surveillance of Antimicrobial Utilization at Five Neonatal Intensive Care Units in an Urban Centre in Alberta, Canada

2015· article· en· W2273067096 on OpenAlexaboutno aff
Julia Bonnett, Bruce Dalton, Nipunie Rajapakse, Deonne Dersch‐Mills

Bibliographic record

VenueOpen Forum Infectious Diseases · 2015
Typearticle
Languageen
FieldMedicine
TopicNeonatal and Maternal Infections
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAntimicrobialIntensive careAntimicrobial stewardshipNeonatal intensive care unitIntensive care medicinePediatricsEnvironmental healthAntibioticsAntibiotic resistanceMicrobiology

Abstract

fetched live from OpenAlex

Background. Measurement of antimicrobial utilization (AMU) is a core activity of hospital antimicrobial stewardship (AS). Few data exist on AMU in Canadian neonatal intensive care units (NICUs). Our objectives were to quantify AMU in 5 of the NICUs in Calgary, Canada over a three-year period; identifying trends in AMU for benchmarking purposes before specific antimicrobial stewardship initiatives were begun. Methods. We collected data on the type and quantity of all formulary systemic antimicrobials administered to infants in NICUs in Calgary, Canada from 1 April 2011 to 31 March 2014. Antimicrobial use was quantified by days of therapy (DOT) per 1000 patient days (PD) for each month of the study period. Longitudinal utilization was inspected visually for discernible trends at each site. Number of agents each patient received was calculated as a novel variable to describe the complexity of infectious diseases in the patient population of each unit. Results. Total average antimicrobial use by NICU (DOT/1000 PD), being predominantly systemic antibacterial agents, was highest at the level 3 nurseries at Hospital A (624.1) and Hospital F (516.0), followed by the level 2 nurseries: Hospital R (250.5), Hospital P (176.7), and Hospital S (155.0). AMU decreased by 26.1% and 23.6% at Hospital P and Hospital F, respectively, over the 2012 to 2014 fiscal years. There were no discernible trends of AMU at Hospitals A, R or S. Hospital A had the highest percentage of patients on three or more antimicrobials at a time (47.97%) compared to 17.27%, 6.95%, 7.45%, and 5.35% at Hospitals F, P, R, and S, respectively, in the 2014 fiscal year. Gentamicin and ampicillin were the most frequently used agents accounting for 89%, 83%, 79%, 67% and 33% of total AMU at Hospitals S, R, P, F, and A, respectively, in the 2014 fiscal year. Conclusion. We initiated surveillance of AMU in Calgary NICUs over a three-year period. AMU dropped over the 2012 to 2014 fiscal years at two sites. Identification of baseline levels and pre-existing trends in AMU will have implications for ongoing measurement as AS activities are implemented. The Level 3 NICUs had a higher proportion of patients on three or more antimicrobial agents in keeping with the higher acuity and complexity of patients admitted to these units. 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 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)0.000
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 score0.128
Threshold uncertainty score0.569

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.020
GPT teacher head0.271
Teacher spread0.251 · 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

Citations1
Published2015
Admission routes1
Has abstractyes

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