Literature DB >> 32443145

Modeling continuous glucose monitoring (CGM) data during sleep.

Irina Gaynanova1, Naresh Punjabi2, Ciprian Crainiceanu3.   

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.
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Entities:  

Keywords:  Actigraphy; Beta distribution; Functional PCA; Hemoglobin A1c

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Year:  2022        PMID: 32443145      PMCID: PMC8942115          DOI: 10.1093/biostatistics/kxaa023

Source DB:  PubMed          Journal:  Biostatistics        ISSN: 1465-4644            Impact factor:   5.899


  28 in total

Review 1.  The worldwide epidemiology of type 2 diabetes mellitus--present and future perspectives.

Authors:  Lei Chen; Dianna J Magliano; Paul Z Zimmet
Journal:  Nat Rev Endocrinol       Date:  2011-11-08       Impact factor: 43.330

2.  Fast Covariance Estimation for High-dimensional Functional Data.

Authors:  Luo Xiao; Vadim Zipunnikov; David Ruppert; Ciprian Crainiceanu
Journal:  Stat Comput       Date:  2014-06-27       Impact factor: 2.559

Review 3.  Global and societal implications of the diabetes epidemic.

Authors:  P Zimmet; K G Alberti; J Shaw
Journal:  Nature       Date:  2001-12-13       Impact factor: 49.962

4.  Longitudinal functional principal component analysis.

Authors:  Sonja Greven; Ciprian Crainiceanu; Brian Caffo; Daniel Reich
Journal:  Electron J Stat       Date:  2010       Impact factor: 1.125

5.  Glycated hemoglobin, diabetes, and cardiovascular risk in nondiabetic adults.

Authors:  Elizabeth Selvin; Michael W Steffes; Hong Zhu; Kunihiro Matsushita; Lynne Wagenknecht; James Pankow; Josef Coresh; Frederick L Brancati
Journal:  N Engl J Med       Date:  2010-03-04       Impact factor: 91.245

6.  Multilevel Functional Principal Component Analysis for High-Dimensional Data.

Authors:  Vadim Zipunnikov; Brian Caffo; David M Yousem; Christos Davatzikos; Brian S Schwartz; Ciprian Crainiceanu
Journal:  J Comput Graph Stat       Date:  2011       Impact factor: 2.302

7.  Structured functional principal component analysis.

Authors:  Haochang Shou; Vadim Zipunnikov; Ciprian M Crainiceanu; Sonja Greven
Journal:  Biometrics       Date:  2014-10-18       Impact factor: 2.571

8.  Modulation of glucose regulation and insulin secretion by circadian rhythmicity and sleep.

Authors:  E Van Cauter; J D Blackman; D Roland; J P Spire; S Refetoff; K S Polonsky
Journal:  J Clin Invest       Date:  1991-09       Impact factor: 14.808

9.  Shrinkage estimation for functional principal component scores with application to the population kinetics of plasma folate.

Authors:  Fang Yao; Hans-Georg Müller; Andrew J Clifford; Steven R Dueker; Jennifer Follett; Yumei Lin; Bruce A Buchholz; John S Vogel
Journal:  Biometrics       Date:  2003-09       Impact factor: 2.571

10.  Glucose variability.

Authors:  F John Service
Journal:  Diabetes       Date:  2013-05       Impact factor: 9.461

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  1 in total

1.  Interpreting blood GLUcose data with R package iglu.

Authors:  Steven Broll; Jacek Urbanek; David Buchanan; Elizabeth Chun; John Muschelli; Naresh M Punjabi; Irina Gaynanova
Journal:  PLoS One       Date:  2021-04-01       Impact factor: 3.240

  1 in total

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