Sex Differences in Clinical Characteristics, Psychosocial Factors, and Outcomes Among Patients With Stable Coronary Heart Disease: Insights from the STABILITY (Stabilization of Atherosclerotic Plaque by Initiation of Darapladib Therapy) Trial
Bibliographic record
Abstract
Background Greater understanding of differences between men and women with coronary heart disease is needed. Methods and Results In this post hoc analysis of the STABILITY (Stabilization of Atherosclerotic Plaque by Initiation of Darapladib Therapy) trial, we described psychosocial factors, treatments, and outcomes of men versus women with stable coronary heart disease and explored the association of sex with psychosocial characteristics and cardiovascular risk. Cox proportional hazards models were used to assess the relationship between sex and outcomes. Interactions among sex, psychosocial factors, and the composite of cardiovascular death, nonfatal myocardial infarction, and nonfatal stroke were tested. Of 15 828 patients, 2967 (19%) were women. Among women, 21.2% felt often or always stressed at home (versus 9.8% of men), and 19.2% felt often or always sad or depressed (versus 10.1% of men; all P <0.0001). The median duration of follow‐up was 3.7 years (25th–75th percentiles: 3.5–3.8 years). Use of evidence‐based medications for coronary heart disease at baseline and 24 months was similar between sexes, as were event rates for all outcomes analyzed. In the multivariable model including psychosocial measures, female sex was associated with lower cardiovascular risk. There was a statistically significant interaction ( P =0.03) such that the lower risk in women varied by depressive symptom frequency, whereby women who were more depressed had a risk similar to men. Conclusions Female sex was independently associated with better long‐term clinical outcomes, although this was modified by frequency of depressive symptoms. This suggests that emotional state may be an important target for improving outcomes in patients with coronary heart disease, specifically in women. Clinical Trial Registration STABILITY ClinicalTrials.gov number (NCT00799903).
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".