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Evaluation of diabetic neuropathy using the tone-entropy analysis, a non-invasive method to estimate the autonomic nervous function

机译:使用音调熵分析评估糖尿病性神经病,这是一种非侵入性方法来评估自主神经功能

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It is clinically important to diagnose diabetic neuropathy at the early stage. In this study, the tone-entropy analysis of electrocardiogram was applied to diabetic patients to evaluate its usability inthe screening of diabetic neuropathy. Consecutive 102 diabetic patients were invited to the study.Electrocardiogram was obtained and analyzed for the tone and the entropy using an original soft-ware developed previously. Nerve conduction velocity (NCV) was examined on the median, theposterior tibial and the sural nerves. Patients were divided into quartile subpopulations accordingto the NCVs in the analysis. Both the tone and the entropy significantly correlated with NCVs,while coefficient of variation in R-R intervals did not show a significant correlation. The correla-tion was most significant between the entropy and the NCV on the sural nerve. When a multivari-ate analysis (ordinary regression) was applied to examine independent effects of the factorsinfluencing the NCV on the sural nerve, the entropy was the most potent independent factor(13 = 1.14 ± 0.32, P= 0.0004) along with sex 03= 0.43 + 0.19, P= 0.02) and BMI = 0.11 ± 0.05,P = 0.04). The tone-entropy analysis on electrocardiogram may be a promising non-invasivescreening method for diabetic neuropathy.
机译:在早期诊断糖尿病神经病在临床上很重要。在这项研究中,将心电图的音熵分析应用于糖尿病患者,以评估其在筛查糖尿病性神经病中的可用性。连续102位糖尿病患者被邀请参加研究。使用先前开发的原始软件获取心电图并分析其音调和熵。检查中位,胫骨后和腓肠神经的神经传导速度(NCV)。根据分析中的NCV,将患者分为四分位数亚群。音调和熵都与NCV显着相关,而R-R区间的变异系数则没有显着相关。腓肠神经的熵和NCV之间的相关性最显着。当使用多元分析(普通回归)检验影响NCV对腓肠神经的因素的独立影响时,熵是与性别03 =关联最有效的独立因素(13 = 1.14±0.32,P = 0.0004)。 0.43 + 0.19,P = 0.02)和BMI = 0.11±0.05,P = 0.04)。心电图的音熵分析可能是一种有前途的非侵入性筛查方法,用于糖尿病性神经病。

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