Recognizing and Treating Valproic Acid Toxicity: A Case Report
Bibliographic record
Abstract
Valproic Acid (VPA) toxicity has been steadily increasing in frequency since the FDA approved the drug for acute mania in 1995. According to the 2005 Annual Report of the American Association of Poison Control Center's Toxic Exposure Surveillance System (TESS), 8705 acute exposures to valproic acid occurred with major adverse outcomes reported in 404 patients of this cohort. Recognizing VPA toxicity is the first step in properly managing the patient. Key signs and symptoms of VPA toxicity include: CNS depression, lethargy and potential encephalopathy, respiratory depression, nausea/vomiting, and myoclonus. Lab abnormalities often include, in addition to elevated serum VPA levels, hypernatremia, elevated anion gap metabolic acidosis, hyperosmolality, hypocalcemia, and hyperammonemia with a transaminitis. A non-contrast head CT may demonstrate cerebral edema, the peak occurrence of which is between 12 hours and 4 days after ingestion. Activated charcoal can be given early if the timing of overdose is known. Serial head CT scans should be ordered to monitor the possible delayed side effect of cerebral edema. Other areas of treatment deal with correcting the ill effects of the metabolic abnormalities (e.g. replace calcium if hypocalcemia). Specifically, lactulose is used to decrease serum ammonia levels and reduce the risk of encephalopathy. Another mainstay of treatment, L-carnitine, increases levels of free carnitine to participate in mitochondrial fatty acid synthesis. In extreme cases, hemodialysis may be required to reduce the levels of VPA and the associated metabolites. Of note our patient presented with virtually all the lab abnormalities and symptoms typical of VPA toxicity. He improved with hemodialysis and was discharged to a mental health facility in stable condition. Though VPA toxicity occurs rarely, it has a consistent presentation, symptomotology and defined treatment regimen. Awareness of a typical patient’s presentation would assist in early diagnosis and a successful treatment. J Med Cases. 2011;2(5):185-187 doi: https://doi.org/10.4021/jmc234w
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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 | 0.008 |
| 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 | 0.000 | 0.000 |
| 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".