Cardiopulmonary Fitness Is Associated with Cognitive Performance in Patients with Coronary Artery Disease
Bibliographic record
Abstract
OBJECTIVES: To investigate the association between cardiopulmonary fitness and cognitive performance in subjects with coronary artery disease (CAD). DESIGN: Cross-sectional observational study. SETTING: Outpatient cardiac rehabilitation. PARTICIPANTS: Eighty-one subjects with CAD. MEASUREMENTS: Cardiopulmonary fitness was assessed by measuring peak oxygen uptake (VO(2Peak) ) in a standardized exercise stress test. The fraction of the predicted age and sex norm for VO(2Peak) was computed for each patient. A battery of neuropsychological tests including the Stroop, Trail-Making Test Part B, Digit Symbol Coding, Revised Brief Visuospatial Memory Test, California Verbal Learning Test 2nd Edition, and Mini Mental State Examination (MMSE) was administered, from which composite Z-scores were computed for tasks involving executive function and memory. RESULTS: Executive function, memory, and MMSE scores were correlated with VO(2Peak) , but only performance in the executive domain was independently associated with VO(2Peak) in multiple linear regression. In a multiple linear regression model controlling for potential clinical confounders, VO(2Peak) (β=.666, P<.001) and covariates accounted for 36% of the variance in executive function scores. CONCLUSION: Poorer VO(2Peak) is associated with poorer cognition, particularly executive function, in subjects with CAD independent of other cardiac risk factors. Cardiopulmonary fitness may be a protective factor for cognition in patients with CAD.
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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 | 0.000 | 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".