Levetiracetam Induced Increase in Creatine Phosphokinase Levels.
Bibliographic record
Abstract
Levetiracetam is an antiepileptic drug used for the treatment of generalised or partial seizures, either alone or in a combination therapy. Adverse effects have been reported with its clinical use, including headache, dizziness, liver failure etc. A rare but an important adverse effect is an increase in creatine phosphokinase (CPK) levels with its use. Herein, we present a case of 43-year male, known intravenous (IV) drug abuser with a history of decompressive craniotomy. Patient presented with severe behavioural disorder for which risperidone was given. Five days later, he started having high grade fever, hyperventilation and uncontrolled generalised tonic-clonic seizures (GTCS). After initial management of seizures, levetiracetam was started in combination with topiramate for seizure control. Seizures remained subsided but CPK levels, which were normal at the start of therapy, began to rise and reached tremendous levels of 29,000 mg/dl within a span of a week. Levetiracetam, suspected as a cause of this increase CPK levels, was stopped immediately and the levels returned to baseline within one week. This report provided us with an important step in the management of seizures with levetiracetam.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".