Department of Statistics, Texas A&M University, College Station, TX, United States of America.
School of Medicine, Johns Hopkins University, Baltimore, MD, United States of America.
PLoS One. 2021 Apr 1;16(4):e0248560. doi: 10.1371/journal.pone.0248560. eCollection 2021.
Continuous Glucose Monitoring (CGM) data play an increasing role in clinical practice as they provide detailed quantification of blood glucose levels during the entire 24-hour period. The R package iglu implements a wide range of CGM-derived metrics for measuring glucose control and glucose variability. The package also allows one to visualize CGM data using time-series and lasagna plots. A distinct advantage of iglu is that it comes with a point-and-click graphical user interface (GUI) which makes the package widely accessible to users regardless of their programming experience. Thus, the open-source and easy to use iglu package will help advance CGM research and CGM data analyses. R package iglu is publicly available on CRAN and at https://github.com/irinagain/iglu.
连续血糖监测 (CGM) 数据在临床实践中发挥着越来越重要的作用，因为它们提供了整个 24 小时内血糖水平的详细量化。R 包 iglu 实现了广泛的 CGM 衍生指标，用于测量血糖控制和血糖变异性。该包还允许使用时间序列和千层面图来可视化 CGM 数据。iglu 的一个显著优势是它带有一个点击式图形用户界面 (GUI)，无论用户的编程经验如何，都可以广泛访问该包。因此，这个开源且易于使用的 iglu 包将有助于推进 CGM 研究和 CGM 数据分析。R 包 iglu 可在 CRAN 上以及在 https://github.com/irinagain/iglu 上公开获得。
