Subarachnoid Hemorrhage From Cavernous Malformation Masquerading as Myocardial Infarction
Bibliographic record
Abstract
Intracranial hemorrhage, including subarachnoid hemorrhage (SAH), is associated with many cardiac effects, including cardiac rhythm abnormalities, ischemic electrocardiographic (ECG) changes, elevated cardiac troponin levels, and regional wall motion abnormalities on echocardiogram. About 40% of patients with SAH demonstrate increased serum markers for myocardial necrosis. Approximately 10% of patients with SAH demonstrate left ventricular (LV) wall motion abnormalities; a subset of these patients will have irreversible myocardial damage, but most regain LV function in several weeks. Cardiac effects of SAH are thought to be a result of an imbalance of the autonomic nervous system with resultant increased catecholamine effect on the myocardial cells rather than due to preexisting coronary artery disease. These cardiovascular complications carry a prognostic significance in patients with SAH and can also be misdiagnosed as primary cardiac problems and delay the diagnosis of SAH. Herein, we present a case of a 68-year-old female who presented to the emergency department with acute onset of upper back and neck pain. She was initially misdiagnosed with myocardial infarction in view of the ischemic changes in the ECG and elevated cardiac troponins. She was started on antiplatelets and anticoagulation but was later found to have a negative coronary angiography and was diagnosed with SAH via a computed tomography (CT) scan. Intracranial hemorrhage can be associated with elevated cardiac enzymes and ECG changes and can sometimes masquerade as an acute coronary syndrome (ACS). A careful history and examination and a high index of clinical suspicion are pivotal in such cases since early diagnosis significantly impacts prognosis and prevents the inadvertent use of antiplatelets and anticoagulation, which can be detrimental if used in such cases.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".