A formula based on autonomic test using EZSCAN and anthropometric data for diagnosis of DM in China
A formula based on autonomic test using EZSCAN and anthropometric data for diagnosis of DM in China
复制标题
基于自主神经测试、使用 EZSCAN 和人体测量数据诊断中国糖尿病的公式
DOI：
10.1038/s41598-020-61841-2
复制
发表时间：
2020-03-17
影响因子：
4.6
通讯作者：
Yao，Chunyan
中科院分区：
文献类型：
--
作者：
Zhao，Xiaolan;Getmanenko，Alexander;Yao，Chunyan
糖尿病（DM）的临床诊断费时且有创。本研究旨在探讨EZSCAN在中国人群中检测糖耐量受损（IGT）和糖尿病（DM）的有效性和准确性，并利用EZSCAN测量值和人体测量数据探索基于自主测试的诊断公式。符合条件的受试者（n = 1547）收集了以下数据：人体测量和EZSCAN测量数据以及生化测试，包括FPG、OGTT、HbA1c和血脂测试。采用支持向量机（SVM）算法推导诊断公式。在本研究中，分别有452名和263名受试者被诊断为T2DM和IGT，而832名受试者的糖耐量（NGT）正常。该配方对T2DM和IGT的敏感性分别为77.2%和80.4%。发现诊断公式与EZSCAN值密切相关。基于自主测试和人体测量数据的诊断公式似乎是中国人群中方便和准确的常规筛查选择。
Clinical diagnosis of diabetes mellitus (DM) is time-consuming and invasive. This study aimed to investigate the efficacy and accuracy of EZSCAN in detecting impaired glucose tolerance (IGT) and diabetes mellitus (DM) in Chinese population, and explore a diagnosis formula based on an autonomic test using EZSCAN measurement and anthropometric data. Eligible subjects (n = 1547) had the following data collected: those of anthropometric and EZSCAN measurements and biochemical tests including FPG, OGTT, HbA1c, and serum lipid tests. The support vector machine (SVM) algorithm method was used to derive a diagnostic formula. In this study, 452 and 263 subjects were diagnosed with T2DM and IGT, respectively, while 832 had normal glucose tolerance (NGT). The sensitivity rates for the formula were 77.2% for T2DM and 80.4% for IGT. The diagnostic formula was found to correlate strongly with EZSCAN values. The diagnostic formula based on autonomic test and anthropometric data appears to be a convenient and accurate routine screening option in the Chinese population.