PLoS ONE (Jan 2021)

Interpreting blood GLUcose data with R package iglu.

  • Steven Broll,
  • Jacek Urbanek,
  • David Buchanan,
  • Elizabeth Chun,
  • John Muschelli,
  • Naresh M Punjabi,
  • Irina Gaynanova

DOI
https://doi.org/10.1371/journal.pone.0248560
Journal volume & issue
Vol. 16, no. 4
p. e0248560

Abstract

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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.