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 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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".