Predictive value of baseline cognitive functioning on health-related quality of life in individuals with coronary artery disease: a 5-year longitudinal study
Bibliographic record
Abstract
AIMS: Emerging studies suggest an association exists between coronary artery disease (CAD) and the development of neurodegenerative diseases, with CAD acting as a precursor. Our study aimed to investigate the relationship between baseline measures of cognitive functioning and long-term health-related quality of life (HRQoL) in individuals with CAD with specification to Type D personality traits and sex. METHODS AND RESULTS: This prospective observational cohort study consisted of 864 participants (mean age 58 SD = 9 years, 74.0% men) with CAD after acute coronary syndrome. Baseline characteristics included comprehensive cognitive testing, measures of sociodemographic and clinical factors, and psychological assessment scales, such as Type D personality scale and the Hospital Anxiety and Depression scale. The Minnesota Living with Heart Failure Questionnaire assessed participants' HRQoL, conducted through phone interviews at baseline, every 6 months for up to 2 years, and after 5 years. Cognitive functioning correlated with HRQoL at all time intervals over the 5-year follow-up. Regarding sex and Type D personality, significant differences emerged in associations between impaired cognitive functioning at baseline and HRQoL measured over the period of 5 years. Men participants with characteristics of Type D personality were especially vulnerable to impaired cognitive functioning affecting the 5-year quality of life. CONCLUSION: Men with CAD who obtained scores indicating characteristics of Type D personality were significantly more likely to have lower baseline cognitive functions and long-term HRQoL outcomes. This information could inform healthcare practitioners to screen for personality characteristics and closely follow-up those at a greater risk.
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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 | 0.009 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".