A History of Kawasaki Disease From Childhood and Coronary Artery Ectasia With Recurrent ST Elevation Myocardial Infarction: A Therapeutic Challenge
Bibliographic record
Abstract
Coronary artery ectasia (CAE) is an uncommon anomaly, usually found in 1.2-2% of patients undergoing coronary angiography, defined as a segment of the coronary artery that has a diameter of more than 1.5 times the normal adjacent segments. Atherosclerosis is considered as the cause of half of the CAE cases. We herein present a 65-year-old Asian male with past medical history of Kawasaki disease (KD) who developed recurrent episodes of inferior wall ST-elevation myocardial infarction (STEMI) despite treatment with dual antiplatelet therapy (DAPT). Repeat coronary angiogram showed severely ectatic and tortuous coronary arteries more predominant on the right coronary artery (RCA) with diffuse thrombus in its mid segment. Given his unfavorable vascular anatomy, the condition was managed medically with the addition of warfarin to his DAPT with target international normalized ratio (INR) 2 - 3. This case highlights the association of CAE with a prior history of KD and its therapeutic challenge.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 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".