Open AccessModeling continuous glucose monitoring (CGM) data during sleep
Author(s) -
Irina Gaynanova,
Naresh M. Punjabi,
Ciprian M. Crainiceanu
Publication year - 2020
Publication title -
biostatistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.493
H-Index - 82
eISSN - 1468-4357
pISSN - 1465-4644
DOI - 10.1093/biostatistics/kxaa023
Subject(s) - actigraphy , continuous glucose monitoring , quantile , hemoglobin , diabetes mellitus , medicine , gold standard (test) , statistics , computer science , mathematics , endocrinology , type 1 diabetes , circadian rhythm
We introduce a multilevel functional Beta model to quantify the blood glucose levels measured by continuous glucose monitors for multiple days in study participants with type 2 diabetes mellitus. The model estimates the subject-specific marginal quantiles, quantifies the within- and between-subject variability, and produces interpretable parameters of blood glucose dynamics as a function of time from the actigraphy-estimated sleep onset. Results are validated via simulations and by studying the association between the estimated model parameters and hemoglobin A1c, the gold standard for assessing glucose control in diabetes.