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Record W2073956674 · doi:10.1097/pcc.0000000000000120

Site-Level Variance for Adverse Tracheal Intubation–Associated Events Across 15 North American PICUs

2014· article· en· W2073956674 on OpenAlexaff
Sholeen Nett, Guillaume Émériaud, Janet Jarvis, Vicki Montgomery, Vinay Nadkarni, Akira Nishisaki

Bibliographic record

VenuePediatric Critical Care Medicine · 2014
Typearticle
Languageen
FieldMedicine
TopicAirway Management and Intubation Techniques
Canadian institutionsCentre Hospitalier Universitaire Sainte-Justine
FundersAgency for Healthcare Research and Quality
KeywordsMedicineTracheal intubationIntubationVariance (accounting)Adverse effectEmergency medicineAnesthesiaIntensive care medicineInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: Tracheal intubation in PICUs is associated with adverse tracheal intubation-associated events. Patient, provider, and practice factors have been associated with tracheal intubation-associated events; however, site-level variance and the association of site-level characteristics on tracheal intubation-associated event outcomes are unknown. We hypothesize that site-level variance exists in the prevalence of tracheal intubation-associated events and that site characteristics may affect outcomes. DESIGN: Prospective observational cohort study. SETTING: Fifteen PICUs in North America. SUBJECTS: Critically ill pediatric patients requiring tracheal intubation. INTERVENTIONS: None. MEASUREMENT AND MAIN RESULTS: Tracheal intubation quality improvement data were collected in 15 PICUs from July 2010 to December 2011 using a National Emergency Airway Registry for Children with robust site-specific compliance. Tracheal intubation-associated events and severe tracheal intubation-associated events were explicitly defined a priori. We analyzed the association of site-level variance with tracheal intubation-associated events using univariate analysis and adjusted for previously identified patient- and provider-level risk factors. Analysis of 1,720 consecutive intubations revealed an overall prevalence of 20% tracheal intubation-associated events and 6.5% severe tracheal intubation-associated events, with considerable site variability ranging from 0% to 44% tracheal intubation-associated events and from 0% to 20% severe tracheal intubation-associated events. Larger PICU size (> 26 beds) was associated with fewer tracheal intubation-associated events (18% vs 23%, p = 0.006), but the presence of a fellowship program was not (20% vs 18%, p = 0.58). After adjusting for patient and provider characteristics, both PICU size and fellowship presence were not associated with tracheal intubation-associated events (p = 0.44 and p = 0.18, respectively). Presence of mixed ICU with cardiac surgery was independently associated with a higher prevalence of tracheal intubation-associated events (25% vs 15%; p < 0.001; adjusted odds ratio, 1.81; 95% CI, 1.29-2.53; p = 0.01). Substantial site-level variance was observed in medication use, which was not explained by patient characteristic differences. CONCLUSIONS: Substantial site-level variance exists in tracheal intubation practice, tracheal intubation-associated events, and severe tracheal intubation-associated events. Neither PICU size nor fellowship training program explained site-level variance. Interventions to reduce tracheal intubation-associated event prevalence and severity will likely need to be contextualized to variability in individual ICUs patients, providers, and practice.

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)0.007
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 score0.276
Threshold uncertainty score0.973

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.007
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 integrity0.0000.000
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 head0.030
GPT teacher head0.351
Teacher spread0.321 · 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

Citations60
Published2014
Admission routes1
Has abstractyes

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