Meeting abstracts of the Toronto Resuscitation Conference
Bibliographic record
Abstract
Managing multiple out-of-hospital cardiac arrests (MOHCA) in a single event provides a unique challenge.These events are poorly described in the research literature, and current triaging systems do not provide guidance when multiple patients on-scene are in cardiac arrest except in specific situations such as avalanches and electrocution.Objective: Describe MOHCA events from a national out-of-hospital cardiac arrest (OHCA) dataset (Canadian Resuscitation Outcomes Consortium-CanROC).MOHCA events from six Canadian sites between 2018-2022 were identified by a unique event number, time (within five minutes), and location GPS data (within two kilometers).After case ascertainment, calls were reviewed to ensure they were MOCHA events by confirming at least two patients.Descriptive analyses are provided.A total of 87,763 OHCA events yielded 61 MOHCA events and a total of 127 patients.There were two patients in 56 (91.8%) events, and three patients in five (8.2%) events.In 34(55.7%)events all patients were "obviously dead", and in 27(44.3%)resuscitation by a professional was attempted on at least one patient.Six events occurred in 2018, 10 events in 2019, 17 events in 2020, 16 events in 2021, and 12 events in 2022.27 events were witnessed and eight had bystander CPR on one or more patients, but none of the events had an AED applied.Event etiology included drug toxicity (n = 21), trauma (n = 11), smoke inhalation (n = 7), no obvious cause (n = 4), drowning (n = 3), hanging (n = 1), and chemical poisoning (n = 1).The mean(SD) age of patients was 44.6(18.4)years with five patients (3.9%) under 18 years, and 41 (32.3%) patients female.Initial heart rhythm of treated patients included 29 (55.8%)asystole, 12 (23.1%)pulseless electrical activity, 9 (17.3%)"non-shockable", one (1.9%)v-fibrillation, and one (1.9%)"shockable".Of the 52 treated patients, 14 (26.9%)achieved field return of spontaneous circulation (ROSC) and 30 (57.7%) were transported to hospital.Approximately one in every 1,400 cardiac arrest events were a MOHCA, the majority are due to drug toxicity, one-fourth of treated patients achieved field ROSC, and over half were transported.Future research will explore paramedic experience with these low-frequency high-acuity events and develop general triaging guidelines. LO2 Characteristics and predictors of opioid-associated out-of-hospital cardiac arrest: A retrospective analysis in southern Ontario
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".