• Title of article

    Relationship between patient variables and plasma clozapine concentrations: a dosing nomogram

  • Author/Authors

    Paul J. Perry، نويسنده , , Kristine A. Bever، نويسنده , , Stephan Arndt، نويسنده , , Michael D. Combs، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 1998
  • Pages
    6
  • From page
    733
  • To page
    738
  • Abstract
    Background: Previous work has suggested factors such as gender, smoking behavior, dose, and age affect the amount of drug a patient requires to achieve a desired plasma concentration of clozapine. Plasma clozapine concentrations ranging from 350 to 504 ng/mL in treatment-refractory schizophrenics and schizoaffective patients produce response rates ranging approximately 55–80%. Without the aid of clozapine plasma concentration monitoring, 3–6 months are recommended for a therapeutic clozapine trial. Data suggest that the lag time to response can be reduced by administering a dose that produces a therapeutic clozapine concentration. Methods: To generate a clozapine dosing nomogram to predict clozapine steady-state plasma concentrations, a cohort of 71 patients was collected via retrospective chart review and/or patient interview. Clozapine steady-state plasma concentrations and demographic variables were obtained. Multiple-linear regression was utilized to examine the relationship between the plasma clozapine concentration and the independent variables. Results: The dosing model that optimally predicted steady-state clozapine plasma concentrations included the variables dose (mg/day), smoking (yes = 0 and no = 1), gender, and a dose–gender interaction variable. The model explained 47% of the variance in the clozapine concentrations (F = 14.42, p< .001, r2 = .47). Two equations, one for male subjects, i.e., clozapine (ng/mL) = 111 (smoke) + 0.464 (dose) + 145, and one for female subjects, i.e., clozapine (ng/mL) = 111 (smoke) + 1.590 (dose) − 149, were derived to predict clozapine steady-state plasma concentrations to serve as a clozapine dosing guide for clinicians. Conclusions: A clozapine dosing nomogram was constructed as a clinical aid to facilitate clozapine dosing. Background: Previous work has suggested factors such as gender, smoking behavior, dose, and age affect the amount of drug a patient requires to achieve a desired plasma concentration of clozapine. Plasma clozapine concentrations ranging from 350 to 504 ng/mL in treatment-refractory schizophrenics and schizoaffective patients produce response rates ranging approximately 55–80%. Without the aid of clozapine plasma concentration monitoring, 3–6 months are recommended for a therapeutic clozapine trial. Data suggest that the lag time to response can be reduced by administering a dose that produces a therapeutic clozapine concentration. Methods: To generate a clozapine dosing nomogram to predict clozapine steady-state plasma concentrations, a cohort of 71 patients was collected via retrospective chart review and/or patient interview. Clozapine steady-state plasma concentrations and demographic variables were obtained. Multiple-linear regression was utilized to examine the relationship between the plasma clozapine concentration and the independent variables. Results: The dosing model that optimally predicted steady-state clozapine plasma concentrations included the variables dose (mg/day), smoking (yes = 0 and no = 1), gender, and a dose–gender interaction variable. The model explained 47% of the variance in the clozapine concentrations (F = 14.42, p< .001, r2 = .47). Two equations, one for male subjects, i.e., clozapine (ng/mL) = 111 (smoke) + 0.464 (dose) + 145, and one for female subjects, i.e., clozapine (ng/mL) = 111 (smoke) + 1.590 (dose) − 149, were derived to predict clozapine steady-state plasma concentrations to serve as a clozapine dosing guide for clinicians. Conclusions: A clozapine dosing nomogram was constructed as a clinical aid to facilitate clozapine dosing.
  • Keywords
    Plasma , Schizophrenia , Clozapine , Dosing , concentration , Nomogram
  • Journal title
    Biological Psychiatry
  • Serial Year
    1998
  • Journal title
    Biological Psychiatry
  • Record number

    500636