Marics Gábor, Lendvai Zsófia, Lódi Csaba, Koncz Levente, Zakariás Dávid, Schuster György, Mikos Borbála, Hermann Csaba, Szabó Attila J, Tóth-Heyn Péter
First Department of Pediatrics, Semmelweis University, Bókay u. 53-54, Budapest, 1083, Hungary.
MRE Bethesda Children's Hospital, Bethesda u. 3, Budapest, 1146, Hungary.
Biomed Eng Online. 2015 Apr 24;14:37. doi: 10.1186/s12938-015-0035-3.
Continuous Glucose Monitoring (CGM) has become an increasingly investigated tool, especially with regards to monitoring of diabetic and critical care patients. The continuous glucose data allows the calculation of several glucose variability parameters, however, without specific application the interpretation of the results is time-consuming, utilizing extreme efforts. Our aim was to create an open access software [Glycemic Variability Analyzer Program (GVAP)], readily available to calculate the most common parameters of the glucose variability and to test its usability.
The GVAP was developed in MATLAB® 2010b environment. The calculated parameters were the following: average area above/below the target range (Avg. AUC-H/L); Percentage Spent Above/Below the Target Range (PATR/PBTR); Continuous Overall Net Glycemic Action (CONGA); Mean of Daily Differences (MODD); Mean Amplitude of Glycemic Excursions (MAGE). For verification purposes we selected 14 CGM curves of pediatric critical care patients. Medtronic® Guardian® Real-Time with Enlite® sensor was used. The reference values were obtained from Medtronic®(')s own software for Avg. AUC-H/L and PATR/PBTR, from GlyCulator for MODD and CONGA, and using manual calculation for MAGE.
The Pearson and Spearman correlation coefficients were above 0.99 for all parameters. The initial execution took 30 minutes, for further analysis with the Windows® Standalone Application approximately 1 minute was needed.
The GVAP is a reliable open access program for analyzing different glycemic variability parameters, hence it could be a useful tool for the study of glycemic control among critically ill patients.
连续血糖监测(CGM)已成为一种越来越受关注的工具,尤其是在糖尿病和重症监护患者的监测方面。连续血糖数据可用于计算多个血糖变异性参数,然而,在没有特定应用的情况下,结果的解释既耗时又费力。我们的目标是创建一个开放获取软件[血糖变异性分析仪程序(GVAP)],以便能够轻松计算最常见的血糖变异性参数并测试其可用性。
GVAP是在MATLAB® 2010b环境中开发的。计算的参数如下:目标范围之上/之下的平均面积(Avg. AUC-H/L);高于/低于目标范围的时间百分比(PATR/PBTR);连续总体净血糖作用(CONGA);每日差异均值(MODD);血糖波动平均幅度(MAGE)。为了进行验证,我们选择了14条儿科重症监护患者的CGM曲线。使用了美敦力公司的Guardian®实时Enlite®传感器。参考值分别从美敦力公司自己的软件中获取Avg. AUC-H/L和PATR/PBTR,从GlyCulator中获取MODD和CONGA,并通过手动计算获取MAGE。
所有参数的Pearson和Spearman相关系数均高于0.99。初始执行耗时30分钟,使用Windows®独立应用程序进行进一步分析大约需要1分钟。
GVAP是一个用于分析不同血糖变异性参数的可靠开放获取程序,因此它可能是研究重症患者血糖控制的有用工具。