Double Trouble - Spontaneous Coronary Artery Dissection of the Left Anterior Descending and Posterior Descending Arteries in a Right Dominant Circuit: A Case Report
Bibliographic record
Abstract
Acute myocardial infarction is a condition that classically presents with chest pain and corresponding biomarkers and changes on electrocardiogram. Although most causes of acute coronary syndrome are due to acute plaque rupture resulting in coronary thrombosis, an increasingly prevalent condition known as spontaneous coronary artery dissection (SCAD) is becoming more commonly diagnosed. SCAD is characterized by a tear in the tunica media resulting in an intramural hematoma. Depending on the size of the hematoma, progressive extension can ultimately lead to coronary occlusion. Our team presents a 52-year-old female patient that presented with substernal chest pain and positive cardiac enzymes. Urgent coronary catheterization revealed bilateral SCAD involving the left anterior descending and posterior descending arteries in a right coronary dominant circuit. Our patient was treated with medical therapy alone and was safely discharged to home after close monitoring in the coronary care unit. Our team hopes to contribute to a growing body of evidence that bilateral SCAD can occur and can be successfully treated without percutaneous coronary intervention. J Med Cases. 2021;12(12):491-494 doi: https://doi.org/10.14740/jmc3774
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".