Effectiveness of clozapine in neuroleptic-resistant schizophrenia: clinical response and plasma concentrations
Bibliographic record
Abstract
OBJECTIVE: To assess the relation between plasma concentrations of clozapine and its 2 main metabolites desmethyl clozapine and clozapine N-oxide, and clinical change in a sample of inpatients with schizophrenia who were resistant to conventional neuroleptics. METHOD: Thirty-seven patients (27 men and 10 women, mean age 34.8 yr) with treatment-resistant schizophrenia were treated with clozapine for 18 weeks; dosage was adjusted according to clinical response, and plasma concentrations of clozapine and of its metabolites were measured weekly by high-performance liquid chromatography. Clinical status was also assessed weekly with the Positive and Negative Syndrome Scale (PANSS). Patients were considered "responsive" if they showed at least a 20% improvement over their baseline PANSS ratings. RESULTS: The mean endpoint clozapine dosage was 486.5 mg/day. There was a significant correlation between the daily dosage of clozapine and the plasma levels of clozapine and of its metabolites (p < 0.05). There was no correlation between the clozapine plasma level and the percent improvement on the PANSS. Clozapine plasma levels were not significantly different between those who responded to clozapine (n = 19) and those who did not (n = 18) and were not significantly different between patients who smoked (n = 28) and those who did not (n = 9). Receiver operating characteristic (ROC) curve analysis determined the plasma level threshold (above which a better clinical response was obtained) to be 550 ng/mL. Using the total of plasma levels of clozapine and its metabolites did not lead to a better sensitivity and specificity. CONCLUSIONS: Our calculated plasma clozapine threshold was higher than that reported by others, but this may be related to the severity of symptoms of our patient sample. Monitoring plasma rates remains a useful tool, together with clinical evaluation, to establish the clozapine dosage for an optimum benefit-risk ratio.
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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) | 0.001 | 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 | 0.000 |
| 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".