Identification of Diabetic Small-Fiber Neuropathy Based on Electrophysiological and Psychophysical Responses to Intra-Epidermal Electric Stimulation using a Naïve Bayes Classifier

Diagnosis and stratification of small-fiber neuropathy patients is difficult due to a lack of methods that are both sensitive and specific. Our lab recently developed a method to accurately measure psychophysical and electrophysiological responses to intra-epidermal electric stimulation, specifically targeting small nerve fibers in the skin. In this work, we study whether using one or a combination of psychophysical and electrophysiological outcome measures can be used to identify diabetic small-fiber neuropathy. It was found that classification of small-fiber neuropathy based on psychophysical and electrophysiological responses to intra-epidermal electric stimulation could match or even outperform current state-of-the-art methods for the diagnosis of small-fiber neuropathy.Clinical Relevance - Neuropathy is damage or dysfunction of nerves in the skin, often leading to the development of chronic pain. Small-fiber neuropathy is the most prevalent type of neuropathy and occurs frequently in patients with diabetes mellitus, but can also occur in other diseases or in response to chemotherapy. Early detection of neuropathy could help diabetic patients to adapt glucose management, and doctors to adjust treatment strategies to prevent nerve loss and chronic pain, but is impeded by a lack of clinical tools to monitor small nerve fiber function.