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Record W3017177094 · doi:10.1097/ccm.0000000000004314

Ketamine Use for Tracheal Intubation in Critically Ill Children Is Associated With a Lower Occurrence of Adverse Hemodynamic Events

2020· article· en· W3017177094 on OpenAlexaff
J. Arden Conway, Priyanka Kharayat, Ronald C. Sanders, Sholeen Nett, Scott L. Weiss, Lauren Edwards, Ryan Breuer, Aileen Kirby, Conrad Krawiec, Christopher Page‐Goertz, Lee Polikoff, David Turner, Justine Shults, John S. Giuliano, Alberto Orioles, Sylvain Balkandier, Guillaume Émériaud, Kyle J. Rehder, Joel Lim Kian Boon, Asha Shenoi, Paula A. Vanderford, Gabrielle Nuthall, Anthony Lee, Jonida Zeqo, Simon Parsons, Jamie Furlong-Dillard, Keith Meyer, Ilana Harwayne‐Gidansky, Philipp Jung, Michelle Adu‐Darko, G. Kris Bysani, Melissa A. McCarthy, Mark Shlomovich, Iris Toedt‐Pingel, Aline Branca, María Esperanza, Awni Al‐Subu, Matthew Pinto, Sarah Tallent, Rakshay Shetty, Sujatha Thyagarajan, Takanari Ikeyama, Keiko M. Tarquinio, Peter Skippen, Mioko Kasagi, Joy Howell, Vinay Nadkarni, Akira Nishisaki

Bibliographic record

VenueCritical Care Medicine · 2020
Typearticle
Languageen
FieldMedicine
TopicAirway Management and Intubation Techniques
Canadian institutionsBC Children's HospitalAlberta Children's HospitalCentre Hospitalier Universitaire Sainte-Justine
FundersAgency for Healthcare Research and Quality
KeywordsMedicineTracheal intubationAnesthesiaKetamineIntubationHemodynamicsAdverse effectShock (circulatory)Odds ratioSeptic shockAirway managementEtomidateIntensive care medicineEmergency medicineSepsisSurgeryInternal medicinePropofol

Abstract

fetched live from OpenAlex

OBJECTIVES: Tracheal intubation in critically ill children with shock poses a risk of hemodynamic compromise. Ketamine has been considered the drug of choice for induction in these patients, but limited data exist. We investigated whether the administration of ketamine for tracheal intubation in critically ill children with or without shock was associated with fewer adverse hemodynamic events compared with other induction agents. We also investigated if there was a dose dependence for any association between ketamine use and adverse hemodynamic events. DESIGN: We performed a retrospective analysis using prospectively collected observational data from the National Emergency Airway Registry for Children database from 2013 to 2017. SETTING: Forty international PICUs participating in the National Emergency Airway Registry for Children. PATIENTS: Critically ill children 0-17 years old who underwent tracheal intubation in a PICU. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: The association between ketamine exposure as an induction agent and the occurrence of adverse hemodynamic events during tracheal intubation including dysrhythmia, hypotension, and cardiac arrest was evaluated. We used multivariable logistic regression to account for patient, provider, and practice factors with robust SEs to account for clustering by sites. Of 10,750 tracheal intubations, 32.0% (n = 3,436) included ketamine as an induction agent. The most common diagnoses associated with ketamine use were sepsis and/or shock (49.7%). After adjusting for potential confounders and sites, ketamine use was associated with fewer hemodynamic tracheal intubation associated adverse events compared with other agents (adjusted odds ratio, 0.74; 95% CI, 0.58-0.95). The interaction term between ketamine use and indication for shock was not significant (p = 0.11), indicating ketamine effect to prevent hemodynamic adverse events is consistent in children with or without shock. CONCLUSIONS: Ketamine use for tracheal intubation is associated with fewer hemodynamic tracheal intubation-associated adverse events.

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)0.008
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 score0.110
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.008
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)0.0010.000

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 head0.027
GPT teacher head0.315
Teacher spread0.288 · 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

Citations34
Published2020
Admission routes1
Has abstractyes

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