Wei Hai-Cheng, Hu Wen-Rui, Ta Na, Xiao Ming-Xia, Tang Xiao-Jing, Wu Hsien-Tsai
Basic Experimental Teaching & Engineering Training Center, North Minzu University, No. 204 North Wenchang Street, Yinchuan, Ningxia 750021, China.
Laboratory of Intelligent Information and Big Data Processing of NingXia Province, North Minzu University, No. 204 North Wenchang Street, Yinchuan, Ningxia 750021, China.
Entropy (Basel). 2020 Jul 9;22(7):754. doi: 10.3390/e22070754.
Diabetic peripheral neuropathy (DPN) is a very common neurological disorder in diabetic patients. This study presents a new percussion-based index for predicting DPN by decomposing digital volume pulse (DVP) signals from the fingertip. In this study, 130 subjects (50 individuals 44 to 89 years of age without diabetes and 80 patients 37 to 86 years of age with type 2 diabetes) were enrolled. After baseline measurement and blood tests, 25 diabetic patients developed DPN within the following five years. After removing high-frequency noise in the original DVP signals, the decomposed DVP signals were used for percussion entropy index (PEI) computation. Effects of risk factors on the incidence of DPN in diabetic patients within five years of follow-up were tested using binary logistic regression analysis, controlling for age, waist circumference, low-density lipoprotein cholesterol, and the new index. Multivariate analysis showed that patients who did not develop DPN in the five-year period had higher PEI values than those with DPN, as determined by logistic regression model (PEI: odds ratio 0.913, 95% CI 0.850 to 0.980). This study shows that PEI can be a major protective factor in relation to the studied binary outcome (i.e., DPN or not in diabetic patients five years after baseline measurement).
糖尿病周围神经病变（DPN）是糖尿病患者中一种非常常见的神经疾病。本研究提出了一种新的基于叩击的指标，通过分解来自指尖的数字容积脉搏（DVP）信号来预测DPN。在本研究中，招募了130名受试者（50名年龄在44至89岁之间的非糖尿病个体和80名年龄在37至86岁之间的2型糖尿病患者）。在进行基线测量和血液检查后，25名糖尿病患者在接下来的五年内患上了DPN。在去除原始DVP信号中的高频噪声后，分解后的DVP信号用于计算叩击熵指数（PEI）。使用二元逻辑回归分析测试了危险因素对糖尿病患者在五年随访期内DPN发病率的影响，并控制了年龄、腰围、低密度脂蛋白胆固醇和新指标。多变量分析表明，根据逻辑回归模型，在五年期间未患上DPN的患者的PEI值高于患上DPN的患者（PEI：比值比0.913，95%置信区间0.850至0.980）。本研究表明，PEI可能是与所研究的二元结局（即基线测量五年后糖尿病患者是否患有DPN）相关的一个主要保护因素。
