Accessing autonomic function can early screen metabolic syndrome.
BACKGROUND
Clinical diagnosis of the metabolic syndrome is time-consuming and invasive. Convenient instruments that do not require laboratory or physical investigation would be useful in early screening individuals at high risk of metabolic syndrome. Examination of the autonomic function can be taken as a directly reference and screening indicator for predicting metabolic syndrome.


RESULTS
The EZSCAN test, as an efficient and noninvasive technology, can access autonomic function through measuring electrochemical skin conductance. In this study, we used EZSCAN value to evaluate autonomic function and to detect metabolic syndrome in 5,887 participants aged 40 years or older. The EZSCAN test diagnostic accuracy was analyzed by receiver operating characteristic curves. Among the 5,815 participants in the final analysis, 2,541 were diagnosed as metabolic syndrome and the overall prevalence was 43.7%. Prevalence of the metabolic syndrome increased with the elevated EZSCAN risk level (p for trend <0.0001). Moreover, EZSCAN value was associated with an increase in the number of metabolic syndrome components (p for trend <0.0001). Compared with the no risk group (EZSCAN value 0-24), participants at the high risk group (EZSCAN value: 50-100) had a 2.35 fold increased risk of prevalent metabolic syndrome after the multiple adjustments. The area under the curve of the EZSCAN test was 0.62 (95% confidence interval [CI], 0.61-0.64) for predicting metabolic syndrome. The optimal operating point for the EZSCAN value to detect a high risk of prevalent metabolic syndrome was 30 in this study, while the sensitivity and specificity were 71.2% and 46.7%, respectively.


CONCLUSIONS
In conclusion, although less sensitive and accurate when compared with the clinical definition of metabolic syndrome, we found that the EZSCAN test is a good and simple screening technique for early predicting metabolic syndrome.
Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, Rui-Jin Hospital, Shanghai Jiao Tong University School of Medicine, E-Institute of Shanghai Universities, Shanghai, China.
Kan
K
Sun
Yu
Y
Liu
Meng
M
Dai
Mian
M
Li
Zhi
Z
Yang
Min
M
Xu
Yu
Y
Xu
Jieli
J
Lu
Yuhong
Y
Chen
Jianmin
J
Liu
Guang
G
Ning
Yufang
Y
Bi
D000328:Adult; D001794:Blood Pressure / Q000502:physiology; D015992:Body Mass Index; D008078:Cholesterol, LDL / Q000097:blood; D003430:Cross-Sectional Studies; D004563:Electrochemistry; D005260:Female; D006801:Humans; D008297:Male; D024821:Metabolic Syndrome / Q000097:blood / Q000175:diagnosis*; D008875:Middle Aged; D014280:Triglycerides / Q000502:physiology; D055105:Waist Circumference / Q000502:physiology
D008078:Cholesterol, LDL; D014280:Triglycerides