• J J Ma, S L Hao, X T Cheng, and Y Yuan.
• Department of Endocrinology, the Affiliated Hospital of Qingdao University, Qingdao 266003, China.
• Zhonghua Yi Xue Za Zhi. 2017 Apr 18; 97 (15): 1170-1174.

AbstractObjective: To evaluate the clinical value of SUDOSCAN in diagnosis of diabetic distal symmetrical peripheral neuropathy. Methods: According to the diagnostic criteria for multiple diabetic distal symmetrical peripheral neuropathy, a total of 130 patients with type 2 diabetes mellitus (T2DM) in Department of Endocrinology, the Affiliated Hospital of Qingdao University between August 2015 and July 2016 were divided into two groups, diabetic peripheral neuropathy group (DPN group, 50 cases) and non-diabetic peripheral neuropathy group (NDPN group, 80 cases). Additional 80 healthy volunteers were selected as healthy control group (NC group). SUDOSCAN was employed to detect electrochemical skin conductance (ESC, the unit was μS) of subjects' hands and feet, and the correlation between sensory nerve conduction velocity (SCV) and ESC was analyzed as well. Results: The average hands ESC in NC and T2DM group were (79.1±10.4) μS and (59.7±18.1) μS, respectively; the average feet ESC were (82.0±8.2) μS and (62.1±21.8) μS, respectively (both P<0.01). The average hands ESC in DPN and NDPN group were (53.2±18.9) μS and (63.7±16.5) μS; the average feet ESC were (53.5±24.4) μS and (67.4±18.2) μS, respectively (both P<0.05). The hands and feet ESC were positively correlated with SCV, and the correlation coefficient were 0.425 and 0.445, respectively (both P<0.01). The area under the receiver operating characteristic curve (ROC) of hands and feet ESC to evaluate diabetic symmetrical peripheral polyneuropathy were 0.785 and 0.768 (both P<0.01). Conclusion: SUDOSCAN is a promising tool for the diagnosis of diabetic symmetrical peripheral polyneuropathy.

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