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
Link To Document :
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