Uremic autonomic dysfunction evaluated by pattern recognition analysis

Clin Nephrol. 1991 Dec;36(6):290-3.

Abstract

A pattern recognition analysis of six cardiovascular reflex tests was performed with the aim to increase their diagnostic efficiency. A normal model was defined by SIMCA method using log-transformed values of 85 healthy subjects. The model was tested with data from 60 patients with chronic renal failure. Specificity resulted 94% and sensitivity 96%. 55% of the uremics were recognized affected by autonomic damage. The method allowed a better definition of autonomic function in those patients defined as "borderline" on conventional evaluation of the tests. Pattern recognition analysis of autonomic tests provides a global assessment of all the tests performed. Its use should be encouraged as a diagnostic tool.

MeSH terms

  • Autonomic Nervous System Diseases / diagnosis*
  • Autonomic Nervous System Diseases / etiology
  • Computer Simulation*
  • Diagnosis, Computer-Assisted*
  • Female
  • Humans
  • Male
  • Middle Aged
  • Pattern Recognition, Automated*
  • Reflex / physiology
  • Sensitivity and Specificity
  • Uremia / complications*