Application of LC-MS Analysis to a Colchicine Fatality
Bibliographic record
Abstract
A 73-year-old man developed nausea, vomiting, and diarrhea 20-30 min after receiving a 1.0 mg intravenous dose of colchicine for the treatment of severe pain due to gouty arthritis in his physician's office. He was hospitalized 8 h later, and his condition deteriorated as he developed renal and respiratory failure. He subsequently died 10 h later, or a total of 18 h after he received the original 1 mg colchicine injection. The patient received a prescription for oral 0.6 mg colchicine tablets 8 days previously and consumed eight tablets during that period, an average of 0.6 mg/day (42 of 50 tablets remained at the time of death). Colchicine concentrations were measured by liquid chromatography-mass spectrometry in selected ion monitoring mode using positive ionization. Chromatography was performed using an Eclipse XDB C8 analytical column (30 mm x 2.1-mm i.d., 3-microm particle size) and a programmed mobile phase consisting of 50 mM pH 4 ammonium acetate buffer and acetonitrile. Colchicine concentrations were as follows: 50 microg/L in cardiac blood, 10 microg/L in vitreous humor, 575 microg/kg in liver, 12,000 microg/L in bile, and 4.4 microg in 60 g received gastric contents (estimated total gastric contents 100 g). The cause of death was ruled to be "acute colchicine toxicity" and the manner of death "accidental."
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".