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Record W2913935952 · doi:10.1097/pcc.0000000000001863

The Association of Hospital Rate of Delayed Epinephrine Administration With Survival to Discharge for Pediatric Nonshockable In-Hospital Cardiac Arrest

2019· article· en· W2913935952 on OpenAlexaff
Tia T. Raymond, Amy Praestgaard, Robert A. Berg, Vinay Nadkarni, Chris Parshuram

Bibliographic record

VenuePediatric Critical Care Medicine · 2019
Typearticle
Languageen
FieldMedicine
TopicCardiac Arrest and Resuscitation
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMedicineInterquartile rangeEpinephrineOdds ratioAsystoleRetrospective cohort studyCardiopulmonary resuscitationAnesthesiaResuscitationEmergency medicineInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVES: To evaluate the variation of hospital rates of delayed epinephrine administration in pediatric patients with nonshockable in-hospital cardiac arrest, and the association of those rates with event, 24-hour, and overall survival to hospital discharge. DESIGN: A retrospective evaluation was performed. Delayed epinephrine was defined as greater than 5 minutes between the time the need for chest compressions was identified and epinephrine was administered. The main outcome was the association of hospital rate of delayed epinephrine administration with survival to hospital discharge. Secondary outcomes were event and 24-hour survival. Evaluation used hierarchical logistic regression and included 13 patient/event-level and seven hospital-level factors. SETTING: Hospitals with greater than 6 months data in the American Heart Association's Get With the Guidelines-Resuscitation registry (2000-2016) and greater than or equal to five total pediatric cardiac arrests with nonshockable rhythm. PATIENTS: Children less than 18 years old with index nonshockable in-hospital cardiac arrest treated with greater than or equal to one epinephrine dose. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: One-thousand four-hundred sixty-two patients at 69 hospitals were included: 218 patients (14.9%) had epinephrine delay rates ranging from 0% to 80% of events (median, 15.6%; interquartile range, 7-25%). The median and interquartile range of hospital level delay was 16% (7-25%). Patient/event-level predictors of delayed epinephrine were asystole (odds ratio, 1.54 [95% CI, 1.10-2.16]) and insertion of an endotracheal tube (odds ratio, 1.86 [95% CI, 1.27-2.73]). Hospital size less than 200 compared with greater than or equal to 500 beds (odds ratio, 3.07 [95% CI, 1.22-7.73]) and ICU location (odds ratio, 0.51 [95% CI, 0.36-0.74]) were associated with epinephrine delay rates. After adjustment, increasing quartiles of epinephrine delay were associated with lower patient and hospital-level return of spontaneous circulation (p = 0.019, p = 0.006) and 24-hour survival (p = 0.018, p = 0.002) respectively, but not survival to discharge (p = 0.20, p = 0.24). CONCLUSIONS: Delayed epinephrine administration following pediatric nonshockable in-hospital cardiac arrest varies significantly between hospitals. Hospitals with higher rates of delayed epinephrine administration had worse patient- and hospital-level outcomes after adjusting for multiple patient- and hospital-level factors. Delayed epinephrine administration may directly contribute to increased mortality risk and/or may be a marker of unmeasured elements of hospital resuscitation performance.

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)0.010
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 score0.001
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.010
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)0.0010.000

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 head0.006
GPT teacher head0.280
Teacher spread0.274 · 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

Citations12
Published2019
Admission routes1
Has abstractyes

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