Unusual Presentation of Spontaneous Coronary Artery Dissection in an Older Male
Bibliographic record
Abstract
Spontaneous coronary artery dissection (SCAD) is a variant of acute coronary syndrome (ACS) that is poorly understood. SCAD has been linked to fibromuscular dysplasia (FMD), connective tissue disease (CTD), pregnancy and hormonal imbalance, systemic inflammatory conditions (e.g. IBD, vasculitis), and coronary artery vasospasm rather than traditional cardiac risk factors. Symptomology generally accompanying SCAD is indistinguishable from ACS making the timely recognition and diagnosis vital for prompt treatment. Management of SCAD is not well defined given the absence of guidelines; conservative therapy with or without invasive intervention is assessed on a case-by-case basis. In this article, we report the case of a 62-year-old male, who presented with chest pain and dyspnea on exertion and was found to have an elevated troponin-I level and corresponding electrocardiogram (EKG) findings, subsequently diagnosed with a non-ST elevation myocardial infarction (NSTEMI). Coronary angiography revealed a distal right coronary artery (RCA) dissection, which was confirmed later with intravascular ultrasound (IVUS). The patient then underwent percutaneous coronary intervention (PCI) followed by stenting of the distal RCA and was discharged on optimal medical therapy. Herein, we report a case of SCAD in an otherwise healthy male with chest pain at rest and with mild exertion without conventional cardiac risk factors.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 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".