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Record W2612208428 · doi:10.1097/pcc.0000000000001175

Trend and Outcomes of Video Laryngoscope Use Across PICUs*

2017· article· en· W2612208428 on OpenAlexaboutno aff
Jocelyn R. Grunwell, Pradip Kamat, Michael Miksa, Ashwin Krishna, Karen Walson, Dennis Simon, Conrad Krawiec, Ryan Breuer, Jan Hau Lee, Eleanor Gradidge, Keiko M. Tarquinio, Asha Shenoi, Justine Shults, Vinay Nadkarni, Akira Nishisaki

Bibliographic record

VenuePediatric Critical Care Medicine · 2017
Typearticle
Languageen
FieldMedicine
TopicAirway Management and Intubation Techniques
Canadian institutionsnot available
FundersNational Institute of General Medical SciencesAgency for Healthcare Research and Quality
KeywordsMedicineLaryngoscopyTracheal intubationIntubationOdds ratioAirwayAirway managementAnesthesiaEmergency medicineEmergency departmentInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: Video (indirect) laryngoscopy is used as a primary tracheal intubation device for difficult airways in emergency departments and in adult ICUs. The use and outcomes of video laryngoscopy compared with direct laryngoscopy has not been quantified in PICUs or cardiac ICUs. DESIGN: Retrospective review of prospectively collected observational data from a multicenter tracheal intubation database (National Emergency Airway Registry for Children) from July 2010 to June 2015. SETTING: Thirty-six PICUs/cardiac ICUs across the United States, Canada, Japan, New Zealand, and Singapore. PATIENTS: Any patient admitted to a PICU or a pediatric cardiac ICU and undergoing tracheal intubation. INTERVENTIONS: Use of direct laryngoscopy versus video laryngoscopy for tracheal intubation. MEASUREMENTS AND MAIN RESULTS: There were 8,875 tracheal intubations reported in the National Emergency Airway Registry for Children database, including 7,947 (89.5%) tracheal intubations performed using direct laryngoscopy and 928 (10.5%) tracheal intubations performed using video laryngoscopy. Wide variability in video laryngoscopy use exists across PICUs (median, 2.6%; range, 0-55%). Video laryngoscopy was more often used in older children (p < 0.001), in children with history of a difficult airway (p = 0.01), in children intubated for ventilatory failure (p < 0.001), and to facilitate the completion of an elective procedure (p = 0.048). After adjusting for patient-level covariates, a secular trend, and site-level variance, the use of video laryngoscopy significantly increased over a 5-year period compared with fiscal year 2011 (odds ratio, 6.7; 95% CI, 1.7-26.8 for fiscal year 2014 and odds ratio, 11.2; 95% CI, 3.2-38.9 for fiscal year 2015). The use of video laryngoscopy was independently associated with a lower occurrence of tracheal intubation adverse events (adjusted odds ratio, 0.57; 95% CI, 0.42-0.77; p < 0.001) but not with a lower occurrence of severe tracheal intubation adverse events (adjusted odds ratio, 0.86; 95% CI, 0.56-1.32; p = 0.49) or fewer multiple attempts at endotracheal intubation (adjusted odds ratio, 0.93; 95% CI, 0.71-1.22; p = 0.59). CONCLUSIONS: Using National Emergency Airway Registry for Children data, we described patient-centered adverse outcomes associated with video laryngoscopy compared with direct laryngoscopy for tracheal intubation in the largest reported international cohort of children to date. Data from this study may be used to design sufficiently powered prospective studies comparing patient-centered outcomes for video laryngoscopy versus direct laryngoscopy during endotracheal intubation.

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)0.004
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 score0.032
Threshold uncertainty score0.547

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.039
GPT teacher head0.393
Teacher spread0.354 · 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

Citations53
Published2017
Admission routes1
Has abstractyes

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