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- Title
GLU: a software package for analysing continuously measured glucose levels in epidemiology.
- Authors
Millard, Louise A C; Patel, Nashita; Tilling, Kate; Lewcock, Melanie; Flach, Peter A; Lawlor, Debbie A
- Abstract
Continuous glucose monitors (CGM) record interstitial glucose levels 'continuously', producing a sequence of measurements for each participant (e.g. the average glucose level every 5 min over several days, both day and night). To analyse these data, researchers tend to derive summary variables such as the area under the curve (AUC), to then use in subsequent analyses. To date, a lack of consistency and transparency of precise definitions used for these summary variables has hindered interpretation, replication and comparison of results across studies. We present GLU, an open-source software package for deriving a consistent set of summary variables from CGM data. GLU performs quality control of each CGM sample (e.g. addressing missing data), derives a diverse set of summary variables (e.g. AUC and proportion of time spent in hypo-, normo- and hyper- glycaemic levels) covering six broad domains, and outputs these (with quality control information) to the user. GLU is implemented in R and is available on GitHub at https://github.com/MRCIEU/GLU. Git tag v0.2 corresponds to the version presented here.
- Subjects
INTEGRATED software; GLUCOSE; QUALITY control; DEFINITIONS; EPIDEMIOLOGY; GLYCEMIC index; BLOOD sugar analysis; COMPUTER software; PILOT projects; RESEARCH; FERRANS &; Powers Quality of Life Index; BLOOD sugar monitoring; RESEARCH methodology; MEDICAL cooperation; EVALUATION research; COMPARATIVE studies; RESEARCH funding; LONGITUDINAL method
- Publication
International Journal of Epidemiology, 2020, Vol 49, Issue 3, p744
- ISSN
0300-5771
- Publication type
journal article
- DOI
10.1093/ije/dyaa004