Abstract 351: The Family Study: Assessment of the Risk for Sudden Cardiac Arrest in Family Members of Cardiac Arrest Patients
Bibliographic record
Abstract
Background: Sudden cardiac arrest (SCA) is devastating for the patient’s family, friends, and community. There is limited information on its identifiable familial predisposition. Objectives: To evaluate the familial risk pattern for SCA in family members of cases compared to age-and-sex matched control groups. Incidence of prior symptoms and SCA triggers were also compared. Methods: We used a prospectively collected, population-based registry of all out-of-hospital cardiac arrests (OHCAs) in the Greater Toronto Area, to identify cases from 2010-2012. Cases were defined as SCA patients aged 18-65 who arrested from a cardiac cause and were treated by Emergency Medical Services. Two relatives per patient were interviewed regarding symptoms prior to the arrest, cardiac history and family history of SCA. Control patients with known coronary heart disease (CHD) and healthy participants were recruited from PCI procedures and the Family Practice Units at St. Michael’s Hospital. Results: Complete family and medical history was obtained for 66 SCA cases, 56 heart disease patients and 27 healthy controls. Underlying diseases were CHD in 77%, non-CHD structural heart disease in 9%, primary arrhythmic in 3% and presumed cardiac of unknown etiology in 11%. A higher proportion of SCA individuals had a family history of SCA in 1st degree relatives (19/66; 28.8%) than 1st degree relatives of healthy controls (2/27; 7%; p=0.006) and 1st degree relatives of patients with heart disease (14/56; 25%) (Table 1). Among families with SCA, 3/66 (4.5%) had a history of >1 relative with SCA, vs. none in either control group. Most SCA patients experienced one or more warning symptoms in the hour preceding an arrest (40/66; 61%); 24/66 (36%) experienced a cardiac arrest during or following exercise. Conclusion: Family members of SCA patients have a higher SCA prevalence than family members of healthy controls. A high proportion of SCA patients experienced symptoms in the hour preceding their arrest.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".