...
首页> 外文期刊>Degenerative Neurological and Neuromuscular Disease >Detection of neuropathy using a sudomotor test in type 2 diabetes
【24h】

Detection of neuropathy using a sudomotor test in type 2 diabetes

机译:使用sudomotor测试检测2型糖尿病的神经病变

获取原文
           

摘要

Background: The sudomotor test is used to evaluate the postganglionic cholinergic sympathetic nervous system. The aim of this study was to evaluate the efficacy of a sudomotor testing device to detect peripheral distal neuropathy (PDN) and cardiac autonomic neuropathy (CAN) in patients with type 2 diabetes.Materials and methods: A total of 133 type 2 diabetic patients were included in the study. The patients underwent examination at the IPC Heart Care Centre (Mumbai, India) in order to assess the diabetic neuropathy symptoms (DNS) score, using a questionnaire, and the CAN score, using heart rate variability analysis and Ewing tests. In addition, patients were given a sudomotor test using the SudoPath? system. The diagnosis of PDN is based on the DNS score. A DNS score of 1 or higher is defined as a positive result for PDN. According to the DNS score, the patients were separated into two groups: Group 1 comprised 35 patients (21 males), with the mean age of 66 years (standard deviation [SD] =12.1), who had a DNS score ≥1. Group 2 comprised 98 patients (65 males), with the mean age of 56 years (SD =9.6), who had a DNS score =0. The SudoPath system is a galvanic skin response device that uses the quantitative sudomotor axon reflex approach to assess for small and unmyelinated fiber neuropathy. The system provides a sudomotor response (SMR) score based on these three measured sudomotor parameters. A statistical analysis was performed using the analysis of variance to compare mean differences between the groups as well as receiver operating characteristic (ROC) curves, to determine the specificity and sensitivity of SMR score to detect PDN, comparing the diabetic groups 1 and 2, and the coefficient of correlation between the CAN score and the SMR score in all the subjects included in the study.Results: When comparing the diabetes groups 1 and 2, the SMR Score had a sensitivity of 91.4% and specificity of 79.1% (cutoff number >3) to detect PDN (P=0.0001). Area under the ROC curve (AUC) =0.893. A correlation analysis of the CAN score and SMR score returned a coefficient of correlation r=0.68 (P<0.0001).Conclusion: The SudoPath system is easy to use, operator-independent, and fast (3-minute testing time). This study shows that the device will be useful to assess the susceptibility of type 2 diabetes patients in developing PDN complications.
机译:背景:sudomotor测试用于评估神经节后胆碱能交感神经系统。这项研究的目的是评估sudomotor测试设备检测2型糖尿病患者外周远端神经病变(PDN)和心脏自主神经病变(CAN)的功效。材料与方法:共有133名2型糖尿病患者包括在研究中。这些患者在IPC心脏护理中心(印度孟买)进行了检查,以通过问卷调查评估糖尿病性神经病症状(DNS)得分,并通过心率变异性分析和Ewing测试评估CAN得分。此外,还使用SudoPath?对患者进行了sudomotor测试。系统。 PDN的诊断基于DNS分数。 DNS得分1或更高被定义为PDN的肯定结果。根据DNS评分,将患者分为两组:第1组包括35例DNS≥1的患者(21例男性),平均年龄为66岁(标准差[SD] = 12.1)。第2组包括98名患者(65名男性),平均年龄为56岁(SD = 9.6),其DNS评分= 0。 SudoPath系统是一种皮肤电反应设备,使用定量sudomotor轴突反射方法评估小的和无髓纤维神经病变。系统基于这三个测得的sudomotor参数提供sudomotor响应(SMR)分数。使用方差分析进行统计分析,以比较各组之间的平均差异以及接受者工作特征(ROC)曲线,以确定SMR评分检测PDN的特异性和敏感性,比较糖尿病组1和2,以及结果:在比较第1组和第2组糖尿病时,SMR评分的敏感性为91.4%,特异性为79.1%(临界值> 3)检测PDN(P = 0.0001)。 ROC曲线下的面积(AUC)= 0.893。 CAN评​​分和SMR评分的相关分析得出相关系数r = 0.68(P <0.0001)。结论:SudoPath系统易于使用,独立于操作员且快速(3分钟的测试时间)。这项研究表明,该设备将有助于评估2型糖尿病患者发生PDN并发症的易感性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号