Abstract 18984: Discrepancy Between Originally Assigned and Adjudicated Causes of Out-of-Hospital-Cardiac-Arrest of “No Obvious Cause” in Young Patients
Bibliographic record
Abstract
Background: Death due to out-of-hospital cardiac arrest (OHCA) is most commonly attributed to “no obvious cause” after review of the prehospital and in-hospital documentation. To establish cause of death in younger patients, autopsy and toxicology data are important, especially in younger patients. We examined the probable cause of death in a large urban cohort of younger OHCA patients. Methods: A prospective population-based registry of all OHCAs attended by Emergency Medical Services (EMS) in the Toronto area was used to identify cases from 2009-2012. Identified OHCAs were cases aged 2-45 who died and assigned ‘no obvious cause’ based on abstracted data from ambulance call reports and in-hospital chart review, including narrative review and contributing factors compliant with the Resuscitation Outcomes Consortium Epistry Manual of Operations. Cases with inadequate information (coroners and/or EMS), or with expected death (e.g. DNR or long term care) or homicide were then excluded. The remaining cases were adjudicated by 3 reviewers using additional data from coroner investigative statements, autopsy, toxicology and police reports, and classified as primary cardiac or another non-cardiac etiology. Results: A total of 2048 OHCA cases with no obvious cause were identified; of these, 547 were excluded. Of the remaining 1501 cases with complete information, 48.2% were treated by EMS. Of the treated cases, 41.3 % (299/724) of those assigned to ‘no obvious cause’ had an adjudicated cardiac etiology. Of the untreated group, 21.2% (165/777) had an adjudicated cardiac etiology. The majority consisted of drug overdoses (214/425; 50.3%) and other non-cardiac causes (49.7%) including trauma (Figure 1). Conclusions: In younger OHCA patients who die, the category "OHCA of no obvious cause”, on detailed review, is most often due to a non-cardiac cause. This observation may contribute to a better understanding of the etiology of sudden cardiac death in younger patients.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.027 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".