Does Valproic Acid Warrant Therapeutic Drug Monitoring in Bipolar Affective Disorder?
Bibliographic record
Abstract
To review the pharmacokinetic literature regarding valproic acid (VPA) in patients with bipolar affective disorder to evaluate the appropriateness of routine therapeutic drug monitoring (TDM) of VPA in this population. Embase, Medline, Biosis, Cumulated Index to Nursing and Allied Health Literature (CINAHL), and Cochrane Systematic Reviews databases (to July 2009) were searched (terms: valproate, valproic acid, valproate semisodium, divalproex, bipolar disorder, mania, bipolar affective disorder, assay, concentration, drug level, serum level, plasma level, therapeutic drug monitoring, drug monitoring, pharmacokinetics). A 9-step decision-making algorithm was applied to the available VPA literature in the bipolar population. VPA has been established as effective first-line therapy in the treatment of bipolar mania. Commercial assays are available to accurately measure VPA levels with good sensitivity and precision. Wide interpatient variability in VPA pharmacokinetic parameters and long anticipated treatment durations favor the use of TDM in the bipolar patient. Conversely, correlations between VPA levels and pharmacologic response in humans, and specifically patients with bipolar affective disorder are unclear. Compared with other agents known to have narrow therapeutic ranges, VPA does not seem to share this characteristic. Furthermore, the clinical efficacy and toxicity of VPA may be assessed in ways other than TDM, allowing for contributions by health care professionals, patients, and family members. Despite the development of effective and widely available VPA assays, routine monitoring of VPA concentrations in the general bipolar affective population does not seem warranted. However, TDM may enhance usual clinical monitoring in situations involving unusual VPA metabolism, polytherapy with clinically relevant drug interactions, or as part of a comprehensive assessment of treatment compliance.
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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 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 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".