HYBRID EVENT: You can participate in person at Orlando, USA or Virtually from your home or work.

6th Edition of International Conference on Neurology and Brain Disorders

October 24 -26, 2022

October 24 -26, 2022 | Orlando, Florida, USA
INBC 2022

S. M. Umirova

Speaker at Neurology and Brain Disorders 2022 - S. M. Umirova
Tashkent Medical Academy, Uzbekistan
Title : Early diagnosis of diabetic polyneuropathy using electroneuromyogram in patients after coronavirus infection


Currently, there is a large increase in the number of cases of coronavirus infection caused by COVID-19. A severe complication of diabetes is diabetic polyneuropathy, which is exacerbated by a new coronavirus infection.

Purpose of the study began to evaluate the possibilities of early diagnosis of DPN in patients with a history of coronavirus infection using the method of electroneuromyography.

Methods. The study was conducted on the basis of the RSNPMCE named after academician Y.Kh. Turakulov. The study included 60 patients who were divided into 3 groups: in group 1 - 30 patients with type 2 diabetes who had coronavirus infection, in the 2nd control group (CG) - 20 patients with type 2 diabetes who did not have coronavirus infection, as well as 10 healthy volunteers. All examined had no symptoms and clinical signs of distal polyneuropathy (DPN). Participants were evaluated for neuropathy symptoms using the Neuropathy Symptom Score (NSS) scale, stimulation electroneuromyography (ENMG).

Results. In a groupa according to ENMG data, type 2 diabetes mellitus was detected in 87% of people who had coronavirus infection. Sensory variant of DDPN was detected in 12 patients (34.8%), sensorimotor neuropathy was detected in 14 (40.6%) patients, motor DDPN was detected in 4 patients (11.6%) from the control group with DM 2. In the control group of 20 individuals, 13 (32.5%) showed signs of DPN in combination with radiculopathy ENMG parameters indicative of DDPN.

Conclusion. The results of the study confirmed the effectiveness and suitability of ENMG in the early diagnosis of DPN, and also made it possible to select the optimal ENMG indicators necessary for this.



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