QT Dispersion and Heart Rate Predict the Risk of Sudden Unexpected Cardiac Death in Men: The Manitoba Follow‐up Study
Bibliographic record
Abstract
As many as half of all sudden cardiac deaths are unexpected, with no preceding symptoms or signs of cardiac problems. Since 1948, the Manitoba Follow-up Study has prospectively recorded routine medical information and resting electrocardiographic (ECG) findings from a cohort of 3983 men. During 58 years of follow-up, 180 men experienced sudden unexpected cardiac death (SUCD). Heart rate, the longest QT interval, the shortest QT interval, and their difference and QT dispersion (QTD) on ECGs recorded prior to SUCD and 5 years and 10 years earlier were compared with QT intervals on ECGs of age-matched controls. QTD and heart rate each were significantly (P < .01) and independently associated with increased risk for SUCD. Only primary prevention can reduce the risk for SUCD. Hence, this relationship between QTD and heart rate and SUCD emphasizes the importance of longitudinal noninvasive QT measurements on routine ECGs in healthy men.
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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 | 0.002 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".