Interventional studies 26.09.2018 Prof. Dr. med. habil. Tjalf Ziemssen

Diabetes polyneuropathy

New insights into the use of Sudoscan technology compared with quantitative sudomotor axon reflex testing (QSART) in the detection of diabetic polyneuropathy (DPN).

Sudoscan as a screening tool for Diabetes Polyneuropathy and possibly small fiber neuropathy can be used in diabetic patients.

In addition, the association of Sudoscan with two clinical neuropathy scoring systems was investigated. Forty-seven patients with type 2 diabetes (20 without DPN, 27 with DPN) and 16 comparable control subjects were assessed for neuropathic symptoms and the extent of sensory deficits. Sweat latency and volume were measured with QSART and skin electrochemical conductivity (ESC) with Sudoscan. ESC on feet and hands was significantly lower in patients with DPN compared with control subjects. Patients with DPN also had lower hand ESC than patients without DPN. The sensitivity and specificity of foot and hand ESC for detecting DPN were 70/85% and 53/50%, respectively. QSART could not differentiate between the three groups. ESC was inversely related to neuropathic symptoms and sensory impairment. ESC correlated significantly with sensory impairment and pain. The Sudoscan sudomotor function test performed well in detecting peripheral diabetic neuropathy. Sudoscan scores correlate significantly with clinical signs and symptoms of neuropathy. This study demonstrates that Sudoscan can be used as a screening tool for DPN and possibly small fiber neuropathy in diabetic patients.

Sudomotor Testing of Diabetes Polyneuropathy. Krieger SM, Reimann M, Haase R, Henkel E, Hanefeld M, Ziemssen T. Front Neurol. 2018 Sep 26;9:803.

GWT-TUD GmbH, Dresden, Germany and Center for Clinical Neuroscience, Department of Neurology, Faculty of Medicine, Dresden University of Technology, Germany.

Portrait photo of Prof. Dr. med. Tjalf Ziemssen

PROJECT LEADER

Prof. Dr. med. habil. Tjalf Ziemssen

Center for Clinical Neuroscience
Department of Neurology, Medical Faculty
Technical University Dresden

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