Recurring ST-Elevation Myocardial Infarction With No-Reflow Caused by Hypercoagulable State: A Behcet Disease Case Report
Bibliographic record
Abstract
Acute myocardial infarction (AMI) in young patients is an important issue because of its impact on health and social life. The mechanisms and disease courses of ST-elevation myocardial infarction (STEMI) in young individuals may differ from those in the elderly. Behcet disease (BD) is a multisystem autoimmune disorder of unknown etiology. Cardiac involvement is rare, yet it was reported to affect 6% of patients, with 17% of the cases presenting as the first manifestation. We present the case of a 33-year-old male heavy smoker with negative medical history, who presented with acute inferior myocardial infarction. His coronary angiography showed huge thrombosis in proximal right coronary artery. He was treated with primary coronary intervention and implantation of drug-eluting stent, with subsequent intervention and implantation of two more drug-eluting stents due to acute stent thrombosis within 48 h. Rheumatologic assessment revealed the history of four different attacks of oral ulcers and one attack of genital ulcer. His workup showed positive human leukocyte antigen (HLA) allele (B51) which is strongly associated with BD. AMI in young adults due to arterial thrombosis can be attributed to hypercoagulable state related to early manifestation of BD. Increased knowledge of AMI in young adults and its presentation in BD is necessary to reduce morbidity and mortality. Corticosteroids and colchicine may improve cardiac manifestations in BD.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.006 | 0.004 |
| 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".