Neurological soft signs discriminate schizophrenia from bipolar disorder

J Psychiatr Pract. 2014 Mar;20(2):147-53. doi: 10.1097/01.pra.0000445250.20875.0e.

Abstract

Background: Although neurological soft signs have been consistently described in patients with schizophrenia, their diagnostic specificity is not well clarified.

Methods: To test the hypothesis that neurological soft signs are specifically related to schizophrenia, we examined 305 subjects (patients with schizophrenia-spectrum disorder, n=167; patients with bipolar I disorder, n=88; controls, n=50). Neurological soft signs were assessed using the Neurological Evaluation Scale (NES). Multiple logistic regression analysis was used to compute the diagnostic predictive power of neurological soft signs.

Results: Patients in the schizophrenia-spectrum disorder group were found to have significantly greater neurological impairment (NES total score=23.9, standard deviation [SD] 11.2) than those in the bipolar disorder group (NES total score=18.2, SD 7.6; p<0.001). Neurological functioning was closely associated with psychopathology (all p<0.001). The NES total score reliably distinguished patients with schizophrenia spectrum disorders from those with bipolar disorder in 68.7% of the cases (p<0.001). Moreover, a particular set of neurological soft signs showed specificity for the schizophrenia-spectrum disorder diagnostic group.

Conclusions: Our findings suggest that schizophrenia and bipolar disorder can be distinguished in terms of neurological impairment. Furthermore, we recommend the utility of neurological soft signs as a useful, quantifiable, sensitive, and inexpensive tool for the diagnostic work-up of schizophrenia.

MeSH terms

  • Adult
  • Bipolar Disorder / diagnosis*
  • Bipolar Disorder / physiopathology
  • Diagnosis, Differential
  • Female
  • Humans
  • Male
  • Middle Aged
  • Neurologic Examination
  • Predictive Value of Tests
  • Psychotic Disorders / diagnosis*
  • Psychotic Disorders / physiopathology
  • Schizophrenia / diagnosis*
  • Schizophrenia / physiopathology