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Record W2606139769 · doi:10.1097/pec.0000000000001136

Pediatric Anaphylaxis in the Emergency Department

2017· article· en· W2606139769 on OpenAlexaff
Viginia L. Goetz, Kelly Kim, Antonia Stang

Bibliographic record

VenuePediatric Emergency Care · 2017
Typearticle
Languageen
FieldMedicine
TopicFood Allergy and Anaphylaxis Research
Canadian institutionsUniversity of CalgaryAlberta Children's Hospital
Fundersnot available
KeywordsMedicineEmergency departmentInter-rater reliabilityInterquartile rangeEmergency medicinePsychological interventionAnaphylaxisRetrospective cohort studyPediatricsMedical emergencyAllergySurgeryStatistics

Abstract

fetched live from OpenAlex

OBJECTIVES: The objective of this study was to describe the quality of emergency department (ED) care for pediatric patients with anaphylaxis. The secondary objectives were to describe (1) the clinical presentation of pediatric patients with anaphylaxis including the proportion of patients meeting each of the National Institute of Allergy and Infectious Diseases (NIAID) consensus criteria and subcriteria and (2) the Interrater reliability (IRR) for applying the NIAID criteria. METHODS: We conducted a retrospective cross-sectional chart review of patients seen in a pediatric ED during a 2-year period. All charts were reviewed by a trained chart reviewer with 10% abstracted by a second reviewer. Data were analyzed using descriptive statistics including proportions, medians, and interquartile range. Interrater reliability was calculated using Cohen unweighted κ or percent agreement. RESULTS: Of the 250 charts reviewed, 84% (211) met the NIAID criteria for anaphylaxis (IRR, 1.0). Only 68% of patients received epinephrine in the ED or within 3 hours of the ED visit. Adherence was poor and IRR was variable, for measures reflecting documentation of discharge instructions and follow-up with a specialist. The IRR of reviewers for determining which patients met the NIAID criteria overall and for each subcriterion was high. CONCLUSIONS: Our findings highlight a gap between best practice and ED care. In addition, our results suggest that the NIAID criteria can reliably be used to retrospectively identify pediatric patients with anaphylaxis. Accurately identifying cases is a prerequisite for measuring gaps in management and developing interventions to improve care.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.029
GPT teacher head0.334
Teacher spread0.305 · 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.

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

Citations8
Published2017
Admission routes1
Has abstractyes

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