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PloS one
2021;16 (4): e0248560.

Interpreting blood GLUcose data with R package iglu.

Steven Broll, Jacek Urbanek, David Buchanan, Elizabeth Chun, John Muschelli, Naresh M Punjabi, Irina Gaynanova
Author Information
  1. Steven Broll: Department of Statistics, Texas A&M University, College Station, TX, United States of America.
  2. Jacek Urbanek: School of Medicine, Johns Hopkins University, Baltimore, MD, United States of America.
  3. David Buchanan: Department of Statistics, Texas A&M University, College Station, TX, United States of America.
  4. Elizabeth Chun: Department of Biology, Texas A&M University, College Station, TX, United States of America.
  5. John Muschelli: Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States of America.
  6. Naresh M Punjabi: School of Medicine, Johns Hopkins University, Baltimore, MD, United States of America.
  7. Irina Gaynanova: Department of Statistics, Texas A&M University, College Station, TX, United States of America. ORCID
PMID: 33793578 DOI: 10.1371/journal.pone.0248560

Abstract

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.

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Grants

  1. R01 HL146709/NHLBI NIH HHS

MeSH Term

Blood Glucose
Blood Glucose Self-Monitoring
Data Analysis
Diabetes Mellitus
Disease Management
Humans
Software

Chemicals

Blood Glucose
Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't
Article has an altmetric score of 8

Word Cloud

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