Health‐Related Quality of Life in Premature Acute Coronary Syndrome: Does Patient Sex or Gender Really Matter?
Bibliographic record
Abstract
BACKGROUND: Limited data exist as to the relative contribution of sex and gender on health-related quality of life (HRQL) among patients with acute coronary syndrome (ACS). This study aims to evaluate the effect of sex and gender-related variables on long-term HRQL among young adults with ACS. METHODS AND RESULTS: GENESIS-PRAXY (GENdEr and Sex determInantS of cardiovascular disease: from bench to beyond-Premature Acute Coronary SYndrome) is a multicenter, prospective cohort study (January 2009 to August 2013) of adults aged 18 to 55 years, hospitalized with ACS. HRQL was measured at baseline, 1, 6, and 12 months using the Short Form-12 and Seattle Angina Questionnaire (SAQ) among 1213 patients. Median age was 49 years. Women reported worse HRQL than men over time post-ACS, both in terms of physical and mental functioning. Gender-related factors were more likely to be predictors of HRQL than sex. Femininity score, social support, and housework responsibility were the most common gender-related predictors of HRQL at 12 months. We observed an interaction between female sex and social support (β=0.44 [95% confidence interval, 0.01, 0.88]; P=0.047) for the physical limitation subscale of the SAQ. CONCLUSIONS: Young women with ACS report significantly poorer HRQL than young men. Gender appears to be more important than sex in predicting long-term HRQL post-ACS. Specific gender-related factors, such as social support, may be amenable to interventions and could improve the HRQL of patients with premature ACS.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".