Toxic Myocarditis Caused by Acetaminophen in a Multidrug Overdose
Bibliographic record
Abstract
We report the case of an 18-year-old woman with personality disorders who was hospitalized a few hours after suicidal ingestion of acetaminophen, quetiapine, acetylsalicylic acid, and ethanol. Twelve hours after admission, severe liver damage was evident, but the patient was stable and awaiting hepatic transplantation. Electrolytes were successfully controlled. The condition of the liver stabilized. Cardiac biomarkers then deteriorated unexpectedly. Localized ST-segment elevations were noted on electrocardiogram, but angiography ruled out myocardial infarction. A computed tomographic scan ruled out cerebral edema. The patient died of irreversible cardiac arrest 40 hours after admission. Heart failure remained unexplained, and the body underwent forensic autopsy.At autopsy, histologic findings were indicative of acute toxic myocarditis and were concluded to be caused by acetaminophen intoxication. Acetaminophen overdose is common and typically leads to liver failure requiring supportive treatment and emergency liver transplantation. Toxic myocarditis is an extremely rare complication of acetaminophen overdose. It has only been reported 4 times in the literature despite the widespread use and misuse of acetaminophen. Toxic myocarditis remains a possibility in many cases of overdose but can be overlooked in a clinical picture dominated by hepatorenal failure and encephalopathy. Clinicians and forensic pathologists should be aware of this rare potential complication.
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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 | 0.001 |
| 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 | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".