TY - JOUR
T1 - A retrospective in-depth analysis of continuous glucose monitoring datasets for patients with hepatic glycogen storage disease
T2 - Recommended outcome parameters for glucose management
AU - Peeks, Fabian
AU - Hoogeveen, Irene J
AU - Feldbrugge, R Lude
AU - Burghard, Rob
AU - de Boer, Foekje
AU - Fokkert-Wilts, Marieke J
AU - van der Klauw, Melanie M
AU - Oosterveer, Maaike H
AU - Derks, Terry G J
N1 - This article is protected by copyright. All rights reserved.
PY - 2021/9
Y1 - 2021/9
N2 - Continuous glucose monitoring (CGM) systems have great potential for real-time assessment of glycemic variation in patients with hepatic glycogen storage disease (GSD). However, detailed descriptions and in-depth analysis of CGM data from hepatic GSD patients during interventions are scarce. This is a retrospective in-depth analysis of CGM parameters, acquired in a continuous, real-time fashion describing glucose management in 15 individual GSD patients. CGM subsets are obtained both in-hospital and at home, upon nocturnal dietary intervention (n = 1), starch loads (n = 11) and treatment of GSD Ib patients with empagliflozin (n = 3). Descriptive CGM parameters, and parameters reflecting glycemic variation and glycemic control are considered useful CGM outcome parameters. Furthermore, the combination of first and second order derivatives, cumulative sum and Fourier analysis identified both subtle and sudden changes in glucose management; hence, aiding assessment of dietary and medical interventions. CGM data interpolation for nocturnal intervals reduced confounding by physical activity and diet. Based on these analyses, we conclude that in-depth CGM analysis can be a powerful tool to assess glucose management and optimize treatment in individual hepatic GSD patients.
AB - Continuous glucose monitoring (CGM) systems have great potential for real-time assessment of glycemic variation in patients with hepatic glycogen storage disease (GSD). However, detailed descriptions and in-depth analysis of CGM data from hepatic GSD patients during interventions are scarce. This is a retrospective in-depth analysis of CGM parameters, acquired in a continuous, real-time fashion describing glucose management in 15 individual GSD patients. CGM subsets are obtained both in-hospital and at home, upon nocturnal dietary intervention (n = 1), starch loads (n = 11) and treatment of GSD Ib patients with empagliflozin (n = 3). Descriptive CGM parameters, and parameters reflecting glycemic variation and glycemic control are considered useful CGM outcome parameters. Furthermore, the combination of first and second order derivatives, cumulative sum and Fourier analysis identified both subtle and sudden changes in glucose management; hence, aiding assessment of dietary and medical interventions. CGM data interpolation for nocturnal intervals reduced confounding by physical activity and diet. Based on these analyses, we conclude that in-depth CGM analysis can be a powerful tool to assess glucose management and optimize treatment in individual hepatic GSD patients.
KW - continuous glucose monitoring
KW - diabetes mellitus
KW - empagliflozin
KW - Fourier analysis
KW - glycogen storage disease
KW - person‐
KW - centered outcomes
U2 - 10.1002/jimd.12383
DO - 10.1002/jimd.12383
M3 - Article
C2 - 33834518
VL - 44
SP - 1136
EP - 1150
JO - Journal of Inherited Metabolic Disease
JF - Journal of Inherited Metabolic Disease
SN - 0141-8955
IS - 5
ER -