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Journal of Diabetes Research
Volume 2017, Article ID 8289740, 6 pages
Research Article

Electrochemical Skin Conductance May Be Used to Screen for Diabetic Cardiac Autonomic Neuropathy in a Chinese Population with Diabetes

1Department of Endocrinology, Qilu Hospital, Shandong University, Jinan, Shandong 250012, China
2Institute of Endocrinology and Metabolism, Shandong University, Jinan, Shandong 250012, China

Correspondence should be addressed to Li Chen; nc.moc.liamdem@3ilnehc and Xinguo Hou; nc.moc.liamdem@ougnixuoh

Received 8 September 2016; Revised 1 December 2016; Accepted 9 January 2017; Published 9 February 2017

Academic Editor: Chi Zhang

Copyright © 2017 Tianyi He et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Aims. This study aimed to assess whether the electrochemical skin conductance (ESC) could be used to screen for diabetic cardiac autonomic neuropathy (DCAN) in a Chinese population with diabetes. Methods. We recruited 75 patients with type 2 diabetes mellitus (T2DM) and 45 controls without diabetes. DCAN was diagnosed by the cardiovascular autonomic reflex tests (CARTs) as gold standard. In all subjects ESCs of hands and feet were also detected by SUDOSCAN™ as a new screening method. The efficacy was assessed by receiver operating characteristic (ROC) curve analysis. Results. The ESCs of both hands and feet were significantly lower in T2DM patients with DCAN than those without DCAN ( versus , , and versus , ). The ROC curve analysis showed the areas under the ROC curve were both 0.75 for ESCs of hands and feet in screening DCAN. And the optimal cut-off values of ESCs, sensitivities, and specificities were 76 μS, 76.7%, and 75.6% for hands and 75 μS, 80.0%, and 60.0% for feet, respectively. Conclusions. ESC measurement is a reliable and feasible method to screen DCAN in the Chinese population with diabetes before further diagnosis with CARTs.