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Record W3213069209 · doi:10.1097/ta.0000000000003474

Prehospital predictors for return of spontaneous circulation in traumatic cardiac arrest

2021· article· en· W3213069209 on OpenAlexaff
Axel Benhamed, Valentine Canon, Éric Mercier, Matthieu Heidet, Amaury Gossiome, Dominique Savary, Carlos El Khoury, Pierre‐Yves Gueugniaud, Hervé Hubert, Karim Tazarourte

Bibliographic record

VenueThe Journal of Trauma: Injury, Infection, and Critical Care · 2021
Typearticle
Languageen
FieldMedicine
TopicCardiac Arrest and Resuscitation
Canadian institutionsCentre hospitalier universitaire de Québec
Fundersnot available
KeywordsReturn of spontaneous circulationMedicinePulseless electrical activityOdds ratioCardiopulmonary resuscitationConfidence intervalAdvanced cardiac life supportLogistic regressionRetrospective cohort studyEmergency medicineInternal medicineResuscitationAdvanced life supportEmergency medical servicesCardiology

Abstract

fetched live from OpenAlex

BACKGROUND: Traumatic cardiac arrests (TCAs) are associated with high mortality and the majority of deaths occur at the prehospital scene. The aim of the present study was to assess, in a prehospital physician-led emergency medical system, the factors associated with sustained return of spontaneous circulation (ROSC) in TCA, including advanced life procedures. The secondary objectives were to assess factors associated with 30-day survival in TCA, evaluate neurological recovery in survivors, and describe the frequency of organ donation among patients experiencing a TCA. METHODS: We conducted a retrospective study of all TCA patients included in the French nationwide cardiac arrest registry from July 2011 to November 2020. Multivariable logistic regression analysis was used to identify factors independently associated with ROSC. RESULTS: A total of 120,045 out-of-hospital cardiac arrests were included in the registry, among which 4,922 TCA were eligible for analysis. Return of spontaneous circulation was sustained on-scene in 21.1% (n = 1,037) patients. Factors significantly associated with sustained ROSC were not-asystolic initial rhythms (pulseless electric activity (odds ratio [OR], 1.81; 95% confidence interval [CI], 1.40-2.35; p < 0.001), shockable rhythm (OR, 1.83; 95% CI, 1.12-2.98; p = 0.016), spontaneous activity (OR, 3.66; 95% CI, 2.70-4.96; p < 0.001), and gasping at the mobile medical team (MMT) arrival (OR, 1.40; 95% CI, 1.02-1.94; p = 0.042). The MMT interventions significantly associated with ROSC were as follows: intravenous fluid resuscitation (OR, 3.19; 95% CI, 2.69-3.78; p < 0.001), packed red cells transfusion (OR, 2.54; 95% CI, 1.84-3.51; p < 0.001), and external hemorrhage control (OR, 1.74; 95% CI, 1.31-2.30; p < 0.001). Among patients who survived (n = 67), neurological outcome at Day 30 was favorable (cerebral performance categories 1-2) in 72.2% cases (n = 39/54) and 1.4% (n = 67/4,855) of deceased patients donated one or more organ. CONCLUSION: Sustained ROSC was frequently achieved in patients not in asystole at MMT arrival, and higher ROSC rates were achieved in patients benefiting from specific advanced life support interventions. Organ donation was somewhat possible in TCA patients undergoing on-scene resuscitation. LEVEL OF EVIDENCE: Prognostic and epidemiologic, Level III.

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)0.001
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 score0.059
Threshold uncertainty score0.312

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0000.000

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 head0.012
GPT teacher head0.295
Teacher spread0.283 · 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

Citations27
Published2021
Admission routes1
Has abstractyes

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