An Update on the iglu Software Package for Interpreting Continuous Glucose Monitoring Data
Authors' conclusion
An updated version of iglu provides comprehensive and accessible software for analyses of CGM data that meets the needs of researchers with varying levels of programming experience.
Study context
- Population
- CGM data from 19 subjects with prediabetes and T2D (demonstration)demonstration dataset
- Participants
- 19 participants
- Outcome
- Updated iglu software release
Methodological detailsopen-source R package, Python wrapper
- Open-source R package
- Python wrapper
Main finding
As reported in the abstract
- Updated iglu released to Comprehensive R Archive Network (CRAN) as version 4
- Python wrapper released to Python Package Index (PyPI) as version 1
- Added: automated hypo- and hyperglycemia episodes with visualizations; composite metrics (glycemia risk index, personal glycemic state); postprandial excursion metrics
- Mean amplitude of glycemic excursions algorithm updated for improved accuracy, with visualization; automated hierarchical clustering added
- Accessibility improved: automatic processing of common data formats, expanded graphical user interface, mirrored functionality in Python
Original publication
An Update on the iglu Software Package for Interpreting Continuous Glucose Monitoring Data. Diabetes Technol Ther. Published 22 July 2024. doi:10.
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