Cholinergic Mushroom Poisoning With a Detection of Muscarine Toxin in Urine
Bibliographic record
Abstract
We report an uncommon case of cholinergic poisoning following an ingestion of wild mushrooms. Two middle-aged patients presented to the emergency unit with acute gastrointestinal symptoms including epigastric pain, vomiting and diarrhea, followed by miosis, palpitations and diaphoresis which were compatible with a cholinergic toxidrome. The patients volunteered a history of taking two tablespoons of cooked wild mushrooms collected in a country park. Mildly elevated liver transaminase was noted in one female patient. Mushroom specimens were sent to a mycologist for identification using morphological analysis. Muscarine, a cholinergic toxin found in mushrooms such as Inocybe and Clitocybe species, was subsequently extracted from and identified in the urine specimens of both patients, using a liquid-chromatography tandem mass spectrometry method. In this report, the variable clinical presentation of cholinergic mushroom poisoning is discussed. Key issues in the management of these cases were presented. In addition to conventional mushroom identification methods, this report also highlights the use of toxicology tests on different biological and non-biological specimens for diagnosis, prognosis and surveillance purposes. J Med Cases. 2023;14(6):222-226 doi: https://doi.org/10.14740/jmc4109
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".