Fatal Insulin Overdoses: Case Report and Update on Testing Methodology
Bibliographic record
Abstract
Suicidal insulin overdoses are an under-recognized and uncommon cause of death, often relying on scene and nonspecific autopsy findings. Here, we present a case report of a fatal exogenous insulin overdose in a patient with type 1 diabetes. In our case, there were no contributory autopsy findings; however, serum analog aspart insulin levels were c. 10× the predicted therapeutic upper limit (4000, reference 6.6-55 uU/mL), which correlated with scene findings. This was specifically determined by a newly developed immunocapture liquid chromatography-tandem mass spectrometry assay, able to discriminate between various synthetic insulin analogs. Total insulin levels by immunoassay were highly elevated on the Siemens Advia Centaur, but not the Roche platforms (4741 vs. 5.2 uU/mL, respectively), showing variable sensitivity of detection within the same analog depending on assay. We discuss the prevalence and features to look for at autopsy in these types of cases. Additionally, analytical options for testing insulin levels, including new methodologies, guidance on collection of samples, as well as an outline of available historical reference range data are discussed.
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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 | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.003 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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".