The Unique Needs and Challenges of Young Females After Spontaneous Coronary Artery Dissection
Bibliographic record
Abstract
PURPOSE: Spontaneous coronary artery dissection (SCAD) disproportionately affects females who are often younger in age. Age-based comparisons of the post-SCAD experience are required to adequately inform rehabilitation programming that is sensitive to patient life circumstances and needs. This multi-site qualitative study investigated the experiences of SCAD in females analyzed according to their age (<50 and ≥50 years). METHODS: Females who had experienced a SCAD event were recruited from 5 large tertiary care hospitals. Participants completed sociodemographic and medical questionnaires and took part in a semi-structured interview. Transcribed data were subject to the framework method using deductive coding. Constructed codes and overarching themes were then compared in the <50 and ≥50-year patient groups. Themes that highlighted the central differences between demographic groups were then constructed inductively. RESULTS: Overall, females with SCAD (n = 77; mean age = 52.9 ± 10.8 years; range = 29-77) reported struggling with a lack of information from their health care team with regards to the diagnosis, management, and long-term prognosis of SCAD. Younger patient (n = 32; mean age = 40.2 ± 6.7 years) transcripts evidenced more prominent themes of uncertainty, dissatisfaction with cardiac rehabilitation programming, difficulty adjusting to lifestyle and vocational changes, and family-related distress in comparison to those over 50 (n = 45; mean age = 57.8 ± 6.9 years). CONCLUSIONS: Females with SCAD who are <50 years old appear to experience their recovery from SCAD differently than those who are older in age. These differences suggest that tailored approaches may be required in cardiovascular rehabilitation programming for younger SCAD patients.
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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".