An unusual pair: coronary artery fistula and coronary sinus ostium stenosis as a cause of refractory angina
Bibliographic record
Abstract
Background: Coronary fistula are rare and often present in early adulthood with symptoms of right heart overload from left to right shunting or ischaemia in the distal coronary bed due to coronary steal. Case summary: A 73-year-old lady with prior history of supraventricular tachycardia, dyslipidemia and a right coronary artery (RCA) to coronary sinus (CS) fistula, presented with progressive angina. She did not have evidence of ischaemia in the RCA territory on nuclear imaging, and cardiac computed tomography (CT) did not show coronary artery disease but revealed a significantly dilated CS and coronary venous tree. She was found to have CS ostial stenosis and, under transesophageal echocardiographic guidance, underwent successful balloon angioplasty of the CS ostium, with decompression of the coronary venous circulation and resolution of her angina. Discussion: Coronary fistula draining to the CS are rare, and association with CS ostial stenosis has been reported very infrequently. CS ostial stenosis can cause elevated coronary venous pressure, leading to decreased global coronary perfusion and symptoms of angina or heart failure. Previous case reports of coronary fistula and CS ostial stenosis were treated with either medical therapy or surgery, and our case is the first to our knowledge to report successful percutaneous treatment.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.007 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".