Key result
SUDOSCAN provides an accurate, noninvasive method to assess sudomotor function and predict dysglycemia, including type II diabetes, by measuring electrochemical skin conductance.
Why the study?
Can SUDOSCAN accurately predict dysglycemia and sudomotor dysfunction noninvasively?
Can SUDOSCAN accurately predict dysglycemia and sudomotor dysfunction noninvasively?
SUDOSCAN provides a noninvasive, fasting-independent method to assess sudomotor function and predict dysglycemia.
Answers are grounded in this paper and cite their sources.
May support noninvasive dysglycemia screening; leaves open validation in prospective trials before practice change.
Sudomotor dysfunction is a major clinical manifestation of diabetic autonomic neuropathy and is an early sign of prediabetes. SUDOSCAN™, a noninvasive and quick method was developed to assess sudomotor function based on measurement of the electrical current response of the skin when different rectangular pulses of low voltage amplitudes are applied on nickel electrodes. Electrochemical skin conductance is then calculated from the resulting voltage and the generated current. This leads to an accurate noninvasive way to predict dysglycemia, including type II diabetes, without fasting requirement due to the sensitivity of Ni electrodes to human eccrine glands sweat.
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Khalfallah et al. (2011) studied Sudomotor dysfunction and diabetes. SUDOSCAN was evaluated. SUDOSCAN provides an accurate, noninvasive method to assess sudomotor function and predict dysglycemia, including type II diabetes, by measuring electrochemical skin conductance.
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