Neuromotor abnormalities and risk for psychosis in Alzheimer's disease

Neurology. 2003 Oct 14;61(7):954-8. doi: 10.1212/01.wnl.0000086823.08213.de.

Abstract

Background: Cross-sectional studies in Alzheimer's disease (AD) show a strong relationship between extrapyramidal motor signs and presence of psychosis, yet it remains unclear whether neuromotor abnormalities precede and therefore can predict development of psychosis in AD.

Objective: To identify cognitive and motor risk factors for the development of psychosis in patients with AD.

Methods: Baseline clinical motor ratings and instrumental measures of neuromuscular function were obtained from 54 nonpsychotic patients with AD who were evaluated annually for 2 years for the development of psychosis. Survival analyses were performed to identify incidence and risks associated with psychosis.

Results: The incidence of new onset psychosis in our sample was 32.5% in 2 years. Patients with abnormal agonist muscle burst amplitudes during rapid alternating movements of the hand were more likely to develop psychosis than those without (OR = 4.31; p = 0.007). Women with AD also had a higher risk of developing psychosis within 2 years than men (OR = 1.33; p = 0.01).

Conclusions: Using simple noninvasive instrumental procedures for assessing neuromotor function, it may be possible to identify an individual's level of risk for developing psychosis during the course of AD.

Publication types

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

MeSH terms

  • Aged
  • Alzheimer Disease / diagnosis
  • Alzheimer Disease / epidemiology*
  • Comorbidity
  • Electromyography
  • Female
  • Humans
  • Incidence
  • Longitudinal Studies
  • Male
  • Movement Disorders / diagnosis
  • Movement Disorders / epidemiology*
  • Movement Disorders / physiopathology
  • Muscle, Skeletal / physiopathology
  • Odds Ratio
  • Predictive Value of Tests
  • Psychotic Disorders / diagnosis
  • Psychotic Disorders / epidemiology*
  • Reference Values
  • Regression Analysis
  • Risk Assessment
  • Risk Factors
  • Severity of Illness Index
  • Survival Analysis