Coronary Artery Abnormalities as the Cause of Sudden Cardiac Death
Bibliographic record
Abstract
In this case series, we delve into the database of medicolegal cases of the Forensic Pathology Department at Hamilton Health Sciences in Hamilton Ontario from the last 20 years (1996-2017), and review cases of sudden cardiac death due to coronary artery abnormalities. We found 17 cases that fit the criteria, which gave us an incidence of 1.34 per 1000 cases. These cases were further audited for age, sex, type of coronary artery abnormality, symptoms before demise, circumstances of death, presence of significant atherosclerotic disease, and toxicology. Two more recent cases underwent postmortem genetic testing, and we reported on the result of one of these molecular studies. In our case series, the most commonly affected coronary artery was the right coronary artery, with the most common anomaly being abnormal origin from the left sinus of Valsalva. Although the literature maintains that left coronary artery from the opposite sinus is associated with higher incidence of SCD, our study shows that RCAs from the opposite aortic sinus, including those deemed to be low risk by classification, can be causes of SCD.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".