Why the study?
Diabetic autonomic neuropathy is a frequently undiagnosed yet serious complication of diabetes, prompting evaluation of neuropathy prevalence and the feasibility of using SUDOSCAN alongside standard neuropathy tests in an outpatient setting.
Is the SUDOSCAN device feasible for assessing sudomotor function and screening for cardiac autonomic neuropathy in diabetic patients?
Is the SUDOSCAN device feasible for assessing sudomotor function and screening for cardiac autonomic neuropathy in diabetic patients?
SUDOSCAN is a feasible tool for daily clinical practice to screen for diabetic neuropathy and early cardiac autonomic neuropathy.
Supports SUDOSCAN for sudomotor screening in diabetes; leaves open prospective validation for CAN detection.
Diabetic autonomic neuropathy is probably the most undiagnosed but serious complication of diabetes. The main objectives were to assess the prevalence of peripheral and autonomic neuropathy in a population of diabetic patients, analyze it in a real-life outpatient unit scenario and determine the feasibility of performing SUDOSCAN tests together with widely used tests for neuropathy. A total of 33 patients were included in the study. Different scoring systems (the Toronto Clinical Neuropathy Score-TCNS; the Neuropathy Disability Score-NDS; and the Neuropathy Symptom Score-NSS) were applied to record diabetic neuropathy (DN), while the SUDOSCAN medical device was used to assess sudomotor function, detect diabetic autonomic neuropathy and screen for cardiac autonomic neuropathy (CAN). Fifteen (45.5%) patients had sudomotor dysfunction. The SUDOSCAN CAN risk score was positively correlated with the hands' electrochemical sweat conductance (ESC), diastolic blood pressure (DBP), the level of the glycated hemoglobin, as well as with the TCNS, NDS and NSS. Performing SUDOSCAN tests together with other tests for DN proved to be a feasible approach that could be used in daily clinical practice in order to screen for DN, as well as for the early screening of CAN, before more complex and time-consuming tests.
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Gavan et al. (2022) studied this question.
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