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Updated: May 19, 2026

Pulse-Wave Velocity, Flow-Mediated Dilation, and Carotid Intima-Media Thickness to Assess Cardiovascular Risk in Population with Metabolic Syndrome

Pulse-Wave Velocity, Flow-Mediated Dilation, and Carotid Intima-Media Thickness to Assess Cardiovascular Risk in Population with Metabolic Syndrome

Published on: September 27, 2024

Accessing autonomic function can early screen metabolic syndrome.

Kan Sun¹, Yu Liu, Meng Dai

¹Key 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.

|August 24, 2012

Summary

The EZSCAN test offers a simple, noninvasive method for early metabolic syndrome screening by assessing autonomic function. While less accurate than clinical diagnosis, it effectively identifies individuals at high risk.

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Quantitative Autonomic Testing

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Quantitative Autonomic Testing

Quantitative Autonomic Testing

Published on: July 19, 2011

Area of Science:

Cardiovascular Health
Metabolic Disorders
Autonomic Nervous System Function

Background:

Clinical diagnosis of metabolic syndrome is invasive and time-consuming.
A convenient, non-laboratory screening tool is needed for early detection of high-risk individuals.
Autonomic function examination serves as a predictive indicator for metabolic syndrome.

Purpose of the Study:

To evaluate the EZSCAN test's utility in assessing autonomic function.
To determine the EZSCAN test's effectiveness in detecting metabolic syndrome.
To analyze the association between EZSCAN values and metabolic syndrome prevalence and components.

Main Methods:

The study involved 5,887 participants aged 40+.
EZSCAN test measured electrochemical skin conductance to assess autonomic function.
Receiver operating characteristic curves were used to analyze diagnostic accuracy.

Main Results:

Metabolic syndrome prevalence was 43.7% among 5,815 participants.
Higher EZSCAN risk levels correlated significantly with increased metabolic syndrome prevalence (p <0.0001).
High-risk individuals (EZSCAN 50-100) showed a 2.35-fold increased risk of metabolic syndrome after adjustments; AUC was 0.62.

Conclusions:

The EZSCAN test is a simple and effective screening technique for early metabolic syndrome prediction.
Despite lower sensitivity and accuracy than clinical diagnosis, EZSCAN provides valuable screening data.
The optimal EZSCAN value for detecting high risk was 30, with 71.2% sensitivity and 46.7% specificity.