DIAGNOSTICS ALGORITHM OF DIABETIC POLYNEUROPATHY IN PREDICTION OF CLINICAL COURSE.

Aim: To estimate the importance of new algorithm introducing of PDP diagnostics in practice of NEFU medical institute Clinic in detection of severity level and predicting of clinical course.

Materials And Methods: 50 people with sensory-motor PDP form among patients with 2 type diabetes were examined on the basis of Clinic of NEFU medical institute. Patients have been divided into 2 groups by disease duration: the first groups were patients with duration of disease till 10 years, the second group--more than 10 years. Diagnostics methods: clinical neurologic, neurophysiological.

Results: Patients underwent polymodal sensitivity analysis, computer pallesteziometry, stabilometry, electroneuromyography. The dependence of clinical neurophysiological PDP parametres from severity of the duration of type 2 diabetes has been revealed.

Conclusion: Thus, dependence of clinical-neurophysiological parametres of PDP severity from the duration of 2 type diabetes has been revealed. The new algorithm raised efficacy of clinical-neurophysiological PDP diagnostics and helped the predicting of the clinical course.