Postmortem Levetiracetam (Keppra) Data from North Carolina
Bibliographic record
Abstract
Levetiracetam (Keppra®) is one of the newer anticonvulsant drugs used to treat seizures. Since 2003, the North Carolina Office of the Chief Medical Examiner Toxicology Laboratory has collected quantitative levetiracetam data in samples for 56 postmortem cases. The data presented herein will provide the forensic community with concentrations to assist in the interpretation of levetiracetam in postmortem blood. Decedents were divided into two groups according to manner of death as determined by the medical examiner for the purposes of studying levetiracetam concentrations. There were equal numbers of natural (N = 28) and non-natural deaths (N = 28). These data were subsequently divided into subgroups for further study to explore the therapeutic range of levetiracetam and how it relates to postmortem data. The cases not certified as natural were investigated to study levetiracetam concentrations in cases where it was determined to contribute to the cause of death (attributed) and those where it was not (unattributed). Until now, the literature has only reported levetiracetam overdoses in which the individuals have recovered with respiratory support. Discussed are two suicidal drug deaths from 2010 that are noted to have elevated levels of levetiracetam, 190 and 35 mg/L. Also included in the complete data set are postmortem concentrations for five patients under the age of 10 with levetiracetam ranging from 1.4 to 50 mg/L. This paper will also address the adverse effects of the drug and explore its potential risk for suicide.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".