Factors in second-generation antipsychotic switching patterns in a national sample of older veterans with

Albana M Dassori1, Laurel A Copeland, John E Zeber

  • 1Department of Psychiatry, South Texas Veterans Health Care System, San Antonio, TX, USA.

Abstract

Insights

Metabolic side effects of second-generation antipsychotics are common in older patients with schizophrenia. Prescribers should monitor metabolic parameters, especially for women, as medication switches may increase metabolic risks.

Area of Science:

  • Psychiatry
  • Geriatrics
  • Pharmacology

Background:

  • Metabolic side effects of second-generation antipsychotics necessitate monitoring per American Psychiatric Association guidelines.
  • Prescribers can mitigate risks by considering patient factors like age, gender, and race-ethnicity.
  • Older patients with schizophrenia (50-102 years) were studied to assess antipsychotic switches and associated metabolic risks.

Purpose of the Study:

  • To evaluate factors associated with antipsychotic switches in older patients with schizophrenia.
  • To determine if these switches led to greater or lesser metabolic risk.
  • To assess changes in prescribing priorities regarding metabolic concerns.

Main Methods:

  • Analysis of administrative data from 16,103 Veterans Health Administration patients with schizophrenia.
  • Utilized multinomial logistic regression to predict antipsychotic switch likelihood across two periods (2002-2003 and 2004-2005).

Main Results:

  • High prevalence of baseline metabolic conditions: hypertension (45%), dyslipidemia (34%), obesity (15%).
  • Diabetes was linked to switches toward lower-metabolic-risk antipsychotics.
  • Older patients had fewer switches; women were more likely to switch to higher-risk antipsychotics in 2004-2005.

Conclusions:

  • Many patients had pre-existing conditions increasing metabolic risk from antipsychotics.
  • Half of patients were on medications potentially exacerbating metabolic issues.
  • Evidence suggests increased attention to metabolic factors over time, but differential impacts on women and elderly require further study.

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