Abstract: ［Abstract］〓Objective〖HTSS〗〓To investigate the correlation between neurophysiological parameters and the classification of diabetic peripheral neuropathy(DPN).
〖HTH〗〖WTHZ〗Methods〖HTSS〗〓The 90 patients with DPN were selected as the observation group, and 90 healthy subjects were used as the control group. The motor nerve conduction velocity, distal latency and amplitude were measured. The sympathetic skin response(SSR), upper limb somatosensory evoked potential(SEP) and lower limb SEP abnormalities were recorded. The DPN grading situation was determined and the correlation between disease grading and neurophysiological indicators was analyzed.
〖HTH〗〖WTHZ〗Results〖HTSS〗〓The motor nerve conduction velocity and amplitude of the observation group were significantly lower than those of the control group. The abnormal rate of distal latency, SSR, upper limb SEP and lower limb SEP was significantly higher than that of the control group(P＜005). Among the 90 patients with DPN, 45 patients were grade Ⅰ, 20 patients were grade Ⅱ, 15 patients  were grade Ⅲ, and 10 patients  were grade Ⅳ. With the aggravation of DPN, the motor nerve conduction velocity and amplitude were significantly reduced, and the abnormal rates of distal latency, SSR, upper limb SEP and lower limb SEP were significantly increased(P＜005). The grade of DPN were negatively correlated with motor nerve conduction velocity and amplitude, and were positively correlated with distal latency, SSR, upper limb SEP and lower limb SEP(P＜005).
〖HTH〗〖WTHZ〗Conclusion〖HTSS〗〓The application of neurophysiological indicators in patients with DNP can improve the diagnosis rate of DPN, reflect the patient's condition and contribute to the early detection and treatment of DPN.

Key words: diabetic neuropathies, disease grading, neuroelectrophysiology