Sex differences in prodromal symptoms in acute coronary syndrome in patients aged 55 years or younger
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Studies suggest that young women are at highest risk for failing to recognise early symptoms of acute coronary syndrome (ACS). OBJECTIVES: To examine sex differences in prodromal symptoms occurring days and weeks prior to the acute presentation of ACS. We also examined health-seeking behaviours and prehospital management in young patients. METHODS: Prospective cross-sectional analysis of 1145 patients (368 women) hospitalised for ACS, aged ≤55 years, from the GENdEr and Sex DetermInantS of Cardiovascular Disease: From Bench to Beyond Premature Acute Coronary SYndrome cohort study (January 2009-April 2013). Prodromal symptoms were determined using the McSweeney Acute and Prodromal Myocardial Infarction Symptom questionnaire. Health-seeking behaviour and prehospital care were determined by questionnaires. RESULTS: The median age was 49 years. The prevalence of prodromal symptoms was high and more women reported symptoms than men (85% vs 72%, p<0.0001). Symptoms were similar between sexes and included unusual fatigue, sleep disturbances, anxiety and arm weakness/discomfort. Chest pain was less common in both sexes (24%). Women were more likely to seek care (49% vs 42%, p=0.04). Among those who sought care, women were more likely to use an ambulance for their ACS compared with men (52% vs 39%). Cardiovascular risk-reduction therapy use was low (≤40%) in all patients and less than half perceived their care provider suspected a cardiac source. CONCLUSIONS: Prior to ACS, women were more likely to experience prodromal symptoms and seek medical attention than men. Prehospital care was generally similar between sexes but demonstrated underutilisation of risk-reduction therapies in at-risk young adults.
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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 | 0.000 | 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 it