Psychological Distress and Subsequent Cardiovascular Events in Individuals With Coronary Artery Disease
Bibliographic record
Abstract
Background Higher symptom levels of a variety of measures of emotional distress have been associated with cardiovascular disease ( CVD ), especially among women. Here, our goal was to investigate the association between a composite measure of psychological distress and incident cardiovascular events. Methods and Results In a prospective cohort study, we assessed 662 individuals (28% women; 30% blacks) with stable coronary artery disease. We used a composite score of psychological distress derived through summation of Z-transformed psychological distress symptom scales (depression, posttraumatic stress, anxiety, anger, hostility, and perceived stress) as a predictor of an adjudicated composite end point of adverse events (cardiovascular death, myocardial infarction, stroke, heart failure, or unstable angina). During a mean follow-up of 2.8 years, 120 (18%) subjects developed CVD events. In the overall population, there was no association between the psychological distress measure and CVD events, but there was a sex-based interaction ( P=0.004). In women, higher psychological distress was associated with a higher incidence of CVD events; each SD increase in the composite score of psychological distress was associated with 1.44 times adjusted hazard of CVD events (95% CI, 1.09-1.92). No such association was found in men. Conclusions Among patients with coronary artery disease, higher psychological distress is associated with future cardiovascular events in women only.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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".