Vomiting Blood, Missing the Heart: A Rare Presentation of Acute Myocardial Infarction
Bibliographic record
Abstract
Hematemesis, the vomiting of blood, is an uncommon initial manifestation of myocardial infarction (MI). We describe a case involving the clinical progression of a 46-year-old man who arrived at the emergency department with symptoms including active coffee ground vomitus and severe epigastric pain. While acute coronary syndrome (ACS) typically manifests with chest pain, this case highlights the significance of considering MI even in the absence of this hallmark symptom. The patient's symptoms initially raised suspicion of upper gastrointestinal bleeding. However, given the patient's cardiovascular risk factors, acute MI (AMI) was considered, confirmed by abnormal ECG and elevated troponin levels. The patient received percutaneous coronary intervention (PCI) and was discharged with dual antiplatelet therapy. The case stresses the necessity of a comprehensive differential diagnosis when assessing patients with symptoms similar to gastrointestinal bleeding, as timely recognition of atypical presentations of MI is crucial for favorable outcomes. This report aims to raise awareness of the importance of comprehensive evaluation and tailored management strategies for atypical presentations of ACS. Further research is needed to guide optimal approaches in these challenging scenarios.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".