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. 2010 Feb 1;67(3):255-62.
doi: 10.1016/j.biopsych.2009.08.040. Epub 2009 Nov 7.

Antipsychotic dose equivalents and dose-years: a standardized method for comparing exposure to different drugs

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Antipsychotic dose equivalents and dose-years: a standardized method for comparing exposure to different drugs

Nancy C Andreasen et al. Biol Psychiatry. .

Abstract

Background: A standardized quantitative method for comparing dosages of different drugs is a useful tool for designing clinical trials and for examining the effects of long-term medication side effects such as tardive dyskinesia. Such a method requires establishing dose equivalents. An expert consensus group has published charts of equivalent doses for various antipsychotic medications for first- and second-generation medications. These charts were used in this study.

Methods: Regression was used to compare each drug in the experts' charts to chlorpromazine and haloperidol and to create formulas for each relationship. The formulas were solved for chlorpromazine 100 mg and haloperidol 2 mg to derive new chlorpromazine and haloperidol equivalents. The formulas were incorporated into our definition of dose-years such that 100 mg/day of chlorpromazine equivalent or 2 mg/day of haloperidol equivalent taken for 1 year is equal to one dose-year.

Results: All comparisons to chlorpromazine and haloperidol were highly linear with R(2) values greater than .9. A power transformation further improved linearity.

Conclusions: By deriving a unique formula that converts doses to chlorpromazine or haloperidol equivalents, we can compare otherwise dissimilar drugs. These equivalents can be multiplied by the time an individual has been on a given dose to derive a cumulative value measured in dose-years in the form of (chlorpromazine equivalent in mg) x (time on dose measured in years). After each dose has been converted to dose-years, the results can be summed to provide a cumulative quantitative measure of lifetime exposure.

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Conflict of interest statement

Competing Interests: Dr. Andreasen has received honoraria for a lecture from Eli Lilly and a lecture honorarium, an advisory board consulting fee, and research funding from Janssen-Cilag; Dr. Miller has received consulting fees from Organon Schering Plough and Otsuka Pharmaceuticals; Dr. Ho has received research funding from Janssen-Cilag. Drs. Nopoulos and Pressler reported no biomedical financial interests or potential conflicts of interest.

Figures

Figure 1
Figure 1
Plots for transformation of regression equation. Black indicates linear; ref, log; blue, polynomial; yellow, power.
Figure 1
Figure 1
Plots for transformation of regression equation. Black indicates linear; ref, log; blue, polynomial; yellow, power.

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