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Record W2769956406 · doi:10.1097/pcc.0000000000001373

Clinical Impact of External Laryngeal Manipulation During Laryngoscopy on Tracheal Intubation Success in Critically Ill Children*

2017· article· en· W2769956406 on OpenAlexaffabout
Taiki Kojima, Elizabeth Laverriere, Erin Owen, Ilana Harwayne‐Gidansky, Asha Shenoi, Natalie Napolitano, Kyle J. Rehder, Michelle Adu‐Darko, Sholeen Nett, Debbie Spear, Keith Meyer, John S. Giuliano, Keiko M. Tarquinio, Ronald C. Sanders, Jan Hau Lee, Dennis Simon, Paula A. Vanderford, Anthony Y. Lee, Calvin A. Brown, Peter Skippen, Ryan Breuer, Iris Toedt‐Pingel, Simon Parsons, Eleanor Gradidge, Lily Glater, Kathleen Culver, Simon Li, Lee Polikoff, Joy Howell, Gabrielle Nuthall, G. Kris Bysani, Ana Lía Graciano, Guillaume Émériaud, Osamu Saitô, Alberto Orioles, Karen Walson, Philipp Jung, Awni Al‐Subu, Takanari Ikeyama, Rakshay Shetty, Kathleen M. Yoder, Vinay Nadkarni, Akira Nishisaki

Bibliographic record

VenuePediatric Critical Care Medicine · 2017
Typearticle
Languageen
FieldMedicine
TopicAirway Management and Intubation Techniques
Canadian institutionsCentre Hospitalier Universitaire Sainte-JustineAlberta Children's HospitalBC Children's Hospital
FundersAgency for Healthcare Research and Quality
KeywordsMedicineLaryngoscopyIntubationTracheal intubationGlottisAirwayOdds ratioAnesthesiaAirway managementIntensive careLarynxIntensive care medicineSurgeryInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVES: External laryngeal manipulation is a commonly used maneuver to improve visualization of the glottis during tracheal intubation in children. However, the effectiveness to improve tracheal intubation attempt success rate in the nonanesthesia setting is not clear. The study objective was to evaluate the association between external laryngeal manipulation use and initial tracheal intubation attempt success in PICUs. DESIGN: A retrospective observational study using a multicenter emergency airway quality improvement registry. SETTING: Thirty-five PICUs within general and children's hospitals (29 in the United States, three in Canada, one in Japan, one in Singapore, and one in New Zealand). PATIENTS: Critically ill children (< 18 years) undergoing initial tracheal intubation with direct laryngoscopy in PICUs between July 1, 2010, and December 31, 2015. MEASUREMENTS AND MAIN RESULTS: Propensity score-matched analysis was performed to evaluate the association between external laryngeal manipulation and initial attempt success while adjusting for underlying differences in patient and clinical care factors: age, obesity, tracheal intubation indications, difficult airway features, provider training level, and neuromuscular blockade use. External laryngeal manipulation was defined as any external force to the neck during laryngoscopy. Of the 7,825 tracheal intubations, the initial tracheal intubation attempt was successful in 1,935/3,274 intubations (59%) with external laryngeal manipulation and 3,086/4,551 (68%) without external laryngeal manipulation (unadjusted odds ratio, 0.69; 95% CI, 0.62-0.75; p < 0.001). In propensity score-matched analysis, external laryngeal manipulation remained associated with lower initial tracheal intubation attempt success (adjusted odds ratio, 0.93; 95% CI, 0.90-0.95; p < 0.001). CONCLUSIONS: External laryngeal manipulation during direct laryngoscopy was associated with lower initial tracheal intubation attempt success in critically ill children, even after adjusting for underlying differences in patient factors and provider levels. The indiscriminate use of external laryngeal manipulation cannot be recommended.

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)0.002
metaresearch head score (Gemma)0.017
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 score0.002
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
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 head0.036
GPT teacher head0.426
Teacher spread0.390 · 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".

Quick stats

Citations16
Published2017
Admission routes2
Has abstractyes

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