Predictors of switching antipsychotic medications in the treatment of schizophrenia

<p>Abstract</p> <p>Background</p> <p>To identify patient characteristics and early changes in patients' clinical status that best predict subsequent switching of antipsychotic agents in the long-term treatment of schizophrenia.</p> <p>Methods</p>...

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Main Authors: Stauffer Virginia L, Ascher-Svanum Haya, Faries Douglas E, Nyhuis Allen W, Kinon Bruce J
Format: Article
Language:English
Published: BMC 2010-09-01
Series:BMC Psychiatry
Online Access:http://www.biomedcentral.com/1471-244X/10/75
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spelling doaj-ae6ff8603fc8486ba9789ab96099d7f42020-11-25T00:22:45ZengBMCBMC Psychiatry1471-244X2010-09-011017510.1186/1471-244X-10-75Predictors of switching antipsychotic medications in the treatment of schizophreniaStauffer Virginia LAscher-Svanum HayaFaries Douglas ENyhuis Allen WKinon Bruce J<p>Abstract</p> <p>Background</p> <p>To identify patient characteristics and early changes in patients' clinical status that best predict subsequent switching of antipsychotic agents in the long-term treatment of schizophrenia.</p> <p>Methods</p> <p>This post-hoc analysis used data from a one-year randomized, open-label, multisite study of antipsychotics in the treatment of schizophrenia. The study protocol permitted switching of antipsychotics when clinically warranted after the first eight weeks. Baseline patient characteristics were assessed using standard psychiatric measures and reviews of medical records. The prediction model included baseline sociodemographics, comorbid psychiatric and non-psychiatric conditions, body weight, clinical and functional variables, as well as change scores on standard efficacy and tolerability measures during the first two weeks of treatment. Cox proportional hazards modeling was used to identify the best predictors of switching from the initially assigned antipsychotic medication.</p> <p>Results</p> <p>About one-third of patients (29.5%, 191/648) switched antipsychotics before the end of the one-year study. There were six variables identified as the best predictors of switching: lack of antipsychotic use in the prior year, pre-existing depression, female gender, lack of substance use disorder, worsening of akathisia (as measured by the Barnes Akathisia Scale), and worsening of symptoms of depression/anxiety (subscale score on the Positive and Negative Syndrome Scale) during the first two weeks of antipsychotic therapy.</p> <p>Conclusions</p> <p>Switching antipsychotics appears to be prevalent in the naturalistic treatment of schizophrenia and can be predicted by a small and distinct set of variables. Interestingly, worsening of anxiety and depressive symptoms and of akathisia following two weeks of treatment were among the more robust predictors of subsequent switching of antipsychotics.</p> http://www.biomedcentral.com/1471-244X/10/75
collection DOAJ
language English
format Article
sources DOAJ
author Stauffer Virginia L
Ascher-Svanum Haya
Faries Douglas E
Nyhuis Allen W
Kinon Bruce J
spellingShingle Stauffer Virginia L
Ascher-Svanum Haya
Faries Douglas E
Nyhuis Allen W
Kinon Bruce J
Predictors of switching antipsychotic medications in the treatment of schizophrenia
BMC Psychiatry
author_facet Stauffer Virginia L
Ascher-Svanum Haya
Faries Douglas E
Nyhuis Allen W
Kinon Bruce J
author_sort Stauffer Virginia L
title Predictors of switching antipsychotic medications in the treatment of schizophrenia
title_short Predictors of switching antipsychotic medications in the treatment of schizophrenia
title_full Predictors of switching antipsychotic medications in the treatment of schizophrenia
title_fullStr Predictors of switching antipsychotic medications in the treatment of schizophrenia
title_full_unstemmed Predictors of switching antipsychotic medications in the treatment of schizophrenia
title_sort predictors of switching antipsychotic medications in the treatment of schizophrenia
publisher BMC
series BMC Psychiatry
issn 1471-244X
publishDate 2010-09-01
description <p>Abstract</p> <p>Background</p> <p>To identify patient characteristics and early changes in patients' clinical status that best predict subsequent switching of antipsychotic agents in the long-term treatment of schizophrenia.</p> <p>Methods</p> <p>This post-hoc analysis used data from a one-year randomized, open-label, multisite study of antipsychotics in the treatment of schizophrenia. The study protocol permitted switching of antipsychotics when clinically warranted after the first eight weeks. Baseline patient characteristics were assessed using standard psychiatric measures and reviews of medical records. The prediction model included baseline sociodemographics, comorbid psychiatric and non-psychiatric conditions, body weight, clinical and functional variables, as well as change scores on standard efficacy and tolerability measures during the first two weeks of treatment. Cox proportional hazards modeling was used to identify the best predictors of switching from the initially assigned antipsychotic medication.</p> <p>Results</p> <p>About one-third of patients (29.5%, 191/648) switched antipsychotics before the end of the one-year study. There were six variables identified as the best predictors of switching: lack of antipsychotic use in the prior year, pre-existing depression, female gender, lack of substance use disorder, worsening of akathisia (as measured by the Barnes Akathisia Scale), and worsening of symptoms of depression/anxiety (subscale score on the Positive and Negative Syndrome Scale) during the first two weeks of antipsychotic therapy.</p> <p>Conclusions</p> <p>Switching antipsychotics appears to be prevalent in the naturalistic treatment of schizophrenia and can be predicted by a small and distinct set of variables. Interestingly, worsening of anxiety and depressive symptoms and of akathisia following two weeks of treatment were among the more robust predictors of subsequent switching of antipsychotics.</p>
url http://www.biomedcentral.com/1471-244X/10/75
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