Modeling continuous glucose monitoring (CGM) data during sleep. Academic Article

abstract

• 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.

authors

• Gaynanova, Irina

published proceedings

• Biostatistics

altmetric score

• 2.35

author list (cited authors)

• Gaynanova, I., Punjabi, N., & Crainiceanu, C.

citation count

• 11

complete list of authors

• Gaynanova, Irina||Punjabi, Naresh||Crainiceanu, Ciprian

publication date

• January 2022

publisher

• Oxford University Press (OUP)  Publisher

published in

• Biostatistics  Journal

keywords

• Actigraphy
• Beta Distribution
• Blood Glucose
• Blood Glucose Self-Monitoring
• Diabetes Mellitus, Type 1
• Diabetes Mellitus, Type 2
• Functional Pca
• Glycated Hemoglobin A
• Hemoglobin A1c
• Humans
• Sleep

PubMed Central ID

• 32443145

Digital Object Identifier (DOI)

• 10.1093/biostatistics/kxaa023

start page

• 223

end page

• 239

volume

• 23

issue

• 1

URL

• http://dx.doi.org/10.1093/biostatistics/kxaa023