An Adult Case of Heart Failure due to Left Main Coronary Artery Atresia
Bibliographic record
Abstract
Left main coronary artery (LMCA) atresia is a rare congenital heart disease and can be fatal in pediatric patients. We report an adult case of LMCA atresia, in which heart failure developed without episodes suggesting angina. A 40-year-old man presented with difficulty breathing. Echocardiography revealed diffuse hypokinesis of the left ventricle with an ejection fraction of 22% in the absence of significant valvular disease. A diagnosis of heart failure was made, and diuretics, enalapril, bisoprolol and warfarin were administered. Coronary angiography demonstrated no trace of the ostium of the LMCA in the sinuses of Valsalva; the middle to distal part of the LMCA was visualized by rich collateral flow from the right coronary artery to the left anterior descending coronary artery and left circumflex coronary artery. No trace of the ostium of the LMCA from the aorta or main pulmonary artery was detected on computed tomography angiography or echocardiography. The patient underwent coronary artery bypass grafting and a final diagnosis of congenital atresia of LMCA was made. The clinical course was uneventful and computed tomography angiography, performed 5 days after surgery, showed a patent bypass graft. This case demonstrates the importance of considering LMCA atresia even in the absence of chest symptoms suggesting angina in patients with heart failure.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".