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Record W4308054410 · doi:10.1097/pec.0000000000002882

Nighttime Sedations in the Pediatric Emergency Department

2022· article· en· W4308054410 on OpenAlexaboutno aff
Yael Lubin, Giora Weiser

Bibliographic record

VenuePediatric Emergency Care · 2022
Typearticle
Languageen
FieldMedicine
TopicAnesthesia and Sedative Agents
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineSedationEmergency medicineAdverse effectEmergency departmentMedical emergencyAnesthesiaNursingInternal medicine

Abstract

fetched live from OpenAlex

INTRODUCTION: Procedural sedation and analgesia (PSA) is the standard of care for many procedures in the pediatric emergency department (PED). Although generally performed by skilled PED physicians, in Israeli PEDs, during nighttime hours, it is mainly performed by pediatric residents. The safety of PSA by residents is considered comparable yet has not been evaluated regarding nighttime performance. METHODS: A retrospective study review of PSA performed in the PED at night (1:00 a . m .-7:00 a . m .). To evaluate these events, we compared each case of nighttime PSA to 2 daytime PSA cases from 2017 to 2019. Adverse events were evaluated using the Quebec criteria. RESULTS: The study included 451 sedations performed on 438 children from January 2017 to January 2019. Adverse events (AEs) occurred in 29 (6.4%) of the sedations. Serious AEs were uncommon. This included mostly bag-valve-mask ventilation used in 13 (2.9%) of the cases. Of these, 12 were daytime sedations. There was a clear association between abscess drainage during daytime hours and AEs. CONCLUSIONS: Sedations performed during nighttime hours by pediatric residents seem safe and effective. This should strengthen the empowerment of residents to perform sedations when necessary even at late hours of the night. Recognizing cases at higher risk may avoid possible AEs.

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)0.001
metaresearch head score (Gemma)0.005
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 score0.015
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.287
Teacher spread0.267 · 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

Citations2
Published2022
Admission routes1
Has abstractyes

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