The Effect of Divalproex Sodium on Viral Load: A Retrospective Review of HIV-Positive Patients with Manic Syndromes
Bibliographic record
Abstract
OBJECTIVE: In vitro studies report that valproic acid causes an increase in HIV-1 replication. This retrospective study examines a sample of patients with HIV disease and behavioural disturbances, for which the treatment of choice is divalproex sodium (DVP), to determine whether DVP causes an increase in HIV-1 replication. METHOD: A chart and database review identified 15 patients with HIV disease presenting with either 1) mania or hypomania or 2) dementia with mania or with hypomania or behavioural disturbances. HIV-1 viral load was compared before and after mood stabilizer initiation. RESULTS: Eleven patients started therapy with DVP, and 4 patients declined treatment with a mood stabilizer. Nine of the 11 patients taking DVP were also receiving antiretroviral therapy. HIV-1 viral load did not increase in 6 of the 9 patients who had measurements between 1 week and 3.5 months after DVP initiation. No follow-up was available for the other 3 patients. Of the 2 patients receiving DVP but not antiretroviral medication, 1 had an increase of 0.17 log in HIV-1 viral load at 4 months. No follow-up record was available for the second patient. The 4 patients not taking DVP were all on antiretroviral therapy; viral loads in 2 of them remained nondetectable over 3 to 4 months, and 1 had an increase of 0.32 log in HIV-1 viral load at 3 months. No follow-up record was available for the fourth patient. CONCLUSIONS: These preliminary data suggest that, in the presence of effective antiretroviral therapy, HIV-1 viral load appears not to be adversely affected by the administration of DVP. The results for the patients receiving DVP in the absence of antiretroviral medication remain indeterminate. Further prospective study is required.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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 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".