Adverse cardiac mechanics and incident coronary heart disease in the Cardiovascular Health Study
Bibliographic record
Abstract
OBJECTIVES: Speckle-tracking echocardiography enables detection of abnormalities in cardiac mechanics with higher sensitivity than conventional measures of left ventricular (LV) dysfunction and may provide insight into the pathogenesis of coronary heart disease (CHD). We investigated the relationship of LV longitudinal strain, LV early diastolic strain rate (SR) and left atrial (LA) reservoir strain with long-term CHD incidence in community-dwelling older adults. METHODS: The association of all three strain measures with incidence of non-fatal and fatal CHD (primary outcome of revascularisation, non-fatal and fatal myocardial infarction) was examined in the population-based Cardiovascular Health Study using multivariable Cox proportional hazards models. Follow-up was truncated at 10 years. RESULTS: We included 3313 participants (mean (SD) age 72.6 (5.5) years). During a median follow-up of 10.0 (25th-75th percentile 7.7-10.0) years, 439 CHD events occurred. LV longitudinal strain (HR=1.25 per SD decrement, 95% CI 1.09 to 1.43) and LV early diastolic SR (HR=1.31 per SD decrement, 95% CI 1.14 to 1.50) were associated with a significantly greater risk of incident CHD after adjustment for potential confounders. By contrast, LA reservoir strain was not associated with incident CHD (HR=1.06 per SD decrement, 95% CI 0.94 to 1.19). Additional adjustment for biochemical and echocardiographic measures of myocardial stress, dysfunction and remodelling did not meaningfully alter these associations. CONCLUSION: We found an association between echocardiographic measures of subclinically altered LV mechanics and incident CHD. These findings inform the underlying biology of subclinical LV dysfunction and CHD. Early detection of asymptomatic myocardial dysfunction may offer an opportunity for prevention and early intervention.
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".