Antipsychotic Use and Stroke: A Retrospective Comparative Study in a Non-Elderly Population

J Clin Psychiatry. 2019 Jun 4;80(4):18m12636. doi: 10.4088/JCP.18m12636.

Abstract

Objective: To evaluate stroke risk among users of typical antipsychotics compared to users of atypical antipsychotics in a non-elderly and non-demented US population.

Methods: New users of antipsychotics aged 18-64 years without dementia were identified via electronic health care data from 13 health plans participating in the Sentinel System from January 2001 to September 2015. The risk of hospitalized stroke events, identified via ICD-9-CM diagnostic criteria, was compared between typical and atypical antipsychotic users using 1:1 matching on propensity score. Adjusted hazard ratios (HRs) and 95% CIs during the entire follow-up period and during 1- to 15-day and 16- to 90-day risk windows were estimated. The risk associated with haloperidol use was estimated separately.

Results: A total of 45,495 typical antipsychotic users were matched 1:1 to atypical antipsychotic users. While unmatched HRs suggest an increased stroke risk among typical antipsychotic users compared to atypical antipsychotic users, no increased risk was observed after matching during the entire follow-up period (HR = 0.87; 95% CI, 0.54-1.41), the 1- to 15-day risk window (HR = 1.16; 95% CI, 0.41-3.32), or the 16- to 90-day risk window (HR = 0.52; 95% CI, 0.20-1.36). The adjusted HR for haloperidol was 1.31 (95% CI, 0.54-3.21).

Conclusion: These findings were not suggestive of an increased stroke risk in typical antipsychotic users compared to atypical antipsychotic users in a non-elderly and non-demented population.

Publication types

  • Comparative Study
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Adult
  • Antipsychotic Agents* / adverse effects
  • Antipsychotic Agents* / classification
  • Antipsychotic Agents* / therapeutic use
  • Depressive Disorder / drug therapy
  • Depressive Disorder / epidemiology
  • Electronic Health Records / statistics & numerical data
  • Female
  • Humans
  • International Classification of Diseases
  • Male
  • Middle Aged
  • Pharmacovigilance
  • Prevalence
  • Quality Assurance, Health Care / methods
  • Risk Assessment / methods
  • Risk Factors
  • Schizophrenia / drug therapy
  • Schizophrenia / epidemiology
  • Sex Factors
  • Stroke* / diagnosis
  • Stroke* / epidemiology
  • Stroke* / etiology

Substances

  • Antipsychotic Agents