Angina pectoris prevalence and sick leave burden one year after MINOCA
Bibliographic record
Abstract
Abstract Background Myocardial infarction with non-obstructive coronary arteries (MINOCA) represents approximately 5-10% of all myocardial infarctions (MI), with heterogenous etiologies and insufficient knowledge on symptom burden after the acute phase. Purpose To evaluate the prevalence of angina and sick leave in MINOCA, using individuals with MI due to coronary artery disease (MI-CAD) as control. Methods This observational study used prospectively collected data from the Swedish national quality register SWEDEHEART. All individuals with invasively assessed, first time MI between 2005 – 2022, available at one year follow-up were included and categorized as MINOCA (normal coronary arteries or <50% lumen obstruction) or MI-CAD (>50% lumen obstruction). We excluded subjects with previous coronary intervention, previous heart failure, tachy- or bradyarrhythmia at admission and not fully revascularized MI-CAD. Chest pain was assessed by a clinical nurse and angina graded according to the Canadian Cardiovascular Society, excluding non-ischemic chest pain. Occupational status was self-reported. Results We included N=46 428 individuals (mean age 62, 71% male; MINOCA n= 5281/MI-CAD n=41 157). Subjects with MINOCA were predominantly females, more commonly divorced or widowed, non-smoking and had a higher degree of hypertension, hyperlipidemia, and chronic obstructive pulmonary disease, compared to fully revascularized MI-CAD. Angina prevalence was 11.6 % and 8.8% in MINOCA and MI-CAD respectively (p <0.001). After adjustment for background variables clinically relevantly associated to both MI type and anginal status OR was 1.21 [95% CI 1.10 – 1.34] (Figure 1). Sick leave was more common in MINOCA both at index care, and at one year (8.0 vs 5.6 % and 13.4 vs 10.9%, both p <0.001) (Figure 2). Conclusion MINOCA patients suffer significant distress, with higher levels of angina and sick leave compared to fully revascularized MI-CAD counterparts. Further research on causes of ischemic symptoms in this heterogenous condition is warranted.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".