Angina Pectoris Severity Among Coronary Heart Disease Patients is Associated With Subsequent Cognitive Impairment
Bibliographic record
Abstract
BACKGROUND: The relationship between coronary heart disease (CHD) and cognitive function is not completely elucidated. We examined the association between severity of angina pectoris (AP) in mid-life and subsequent cognitive impairment among CHD patients. METHODS: Severity of AP according to the Canadian Cardiovascular Society angina classification was assessed in a subgroup of people with chronic CHD, who previously participated in a secondary prevention trial. Cognitive performance was evaluated 15±3 years later, using a validated set of computerized cognitive tests (Neurotrax Computerized Cognitive Battery; computing index scores summarizing performance in each cognitive domain and a global cognitive score). We compared the risk of cognitive deficits in participants with AP class >2 to those with AP≤2, adjusting for vascular risk factors, common carotid-intima media thickness (CC-IMT), and presence of carotid plaques. RESULT: Among 535 participants (mean age at baseline 57.9±6.6 y; 95% males), AP class >2 was associated with subsequent poorer performance on tests of memory and attention compared to those with AP class ≤2 (β=-4.3±1.8; P=0.016 and β=-3.6±1.7; P=0.029, respectively) and with a higher risk of having impairment in these domains [odds ratio (95% confidence interval)=1.83 (1.11-3.02); P=0.019 and 2.36 (1.34-4.16); P=0.003, for memory and attention, respectively]. These results were similar after controlling for vascular risk factors; however, the association of AP with memory domain attenuated after adjustment for CC-IMT or presence of carotid plaques. CONCLUSIONS: In people with preexisting CHD, severity of AP is associated with late-life poorer cognitive performance, independent of other vascular risk factors.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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 teacher head, 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".