Literature DB >> 29802555

Role of continuous glucose monitoring in the management of glycogen storage disorders.

Mrudu Herbert1, Surekha Pendyal1, Mugdha Rairikar1, Carine Halaby1, Robert W Benjamin2, Priya S Kishnani3.   

Abstract

Management of liver glycogen storage diseases (GSDs) primarily involves maintaining normoglycemia through dietary modifications and regular glucose monitoring. Self-monitoring of blood glucose is typically done 3-6 times per day, and may not sufficiently capture periods of asymptomatic hypoglycemia, particularly during sleep. Continuous glucose monitoring systems (CGMS) provide 24-h continuous glucose data and have been used effectively in diabetes mellitus to monitor metabolic control and optimize treatment. This is a relatively new approach in GSDs with only a handful of studies exploring this modality. In this study we used Dexcom CGMS to study the glycemic profile of 14 pediatric and six adult patients with GSD I, III, and IX. A total of 176 days of CGMS data were available. The CGMS was found to be a reliable tool in monitoring glucose levels and trends at all times of the day with good concordance with finger-stick glucose values. This study revealed that in addition to overnight hypoglycemia, CGMS can uncover previously undetected, subclinical, low glucose levels during daytime hours. Additionally, the CGMS detected daytime and overnight hyperglycemia, an often overlooked concern in liver GSDs. The CGMS with concurrent dietary adjustments made by a metabolic dietitian improved metabolic parameters and stabilized blood glucose levels. The CGMS was found to be a safe, effective, and reliable method for optimizing treatment in patients with GSD I, III, and IX.

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Year:  2018        PMID: 29802555     DOI: 10.1007/s10545-018-0200-5

Source DB:  PubMed          Journal:  J Inherit Metab Dis        ISSN: 0141-8955            Impact factor:   4.982


  30 in total

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Authors:  Devna Mangrola; Christine Cox; Arianne S Furman; Sridevi Krishnan; Sidika E Karakas
Journal:  Endocr Pract       Date:  2017-11-16       Impact factor: 3.443

2.  Secondary diabetes mellitus: late complication of glycogen storage disease type 1b.

Authors:  Ronen Spiegel; Yardena Rakover-Tenenbaum; Hanna Mandel; Dmitry Lumelski; Osnat Admoni; Yoseph Horovitz
Journal:  J Pediatr Endocrinol Metab       Date:  2005-06       Impact factor: 1.634

3.  Improved Accuracy of Continuous Glucose Monitoring Systems in Pediatric Patients with Diabetes Mellitus: Results from Two Studies.

Authors:  Lori Laffel
Journal:  Diabetes Technol Ther       Date:  2016-02       Impact factor: 6.118

4.  Predictive Hyperglycemia and Hypoglycemia Minimization: In-Home Evaluation of Safety, Feasibility, and Efficacy in Overnight Glucose Control in Type 1 Diabetes.

Authors:  Tamara Spaic; Marsha Driscoll; Dan Raghinaru; Bruce A Buckingham; Darrell M Wilson; Paula Clinton; H Peter Chase; David M Maahs; Gregory P Forlenza; Emily Jost; Irene Hramiak; Terri Paul; B Wayne Bequette; Faye Cameron; Roy W Beck; Craig Kollman; John W Lum; Trang T Ly
Journal:  Diabetes Care       Date:  2017-01-18       Impact factor: 19.112

5.  Continuous glucose monitoring in conditions other than diabetes.

Authors:  Alberto Maran; Cristina Crepaldi; Angelo Avogaro; Susanna Catuogno; Alberto Burlina; Alessandro Poscia; Antonio Tiengo
Journal:  Diabetes Metab Res Rev       Date:  2004 Nov-Dec       Impact factor: 4.876

6.  What are the quality of life-related benefits and losses associated with real-time continuous glucose monitoring? A survey of current users.

Authors:  William H Polonsky; Danielle Hessler
Journal:  Diabetes Technol Ther       Date:  2013-02-21       Impact factor: 6.118

7.  Use of a real time continuous glucose monitoring system as a motivational device for poorly controlled type 2 diabetes.

Authors:  H J Yoo; H G An; S Y Park; O H Ryu; H Y Kim; J A Seo; E G Hong; D H Shin; Y H Kim; S G Kim; K M Choi; I B Park; J M Yu; S H Baik
Journal:  Diabetes Res Clin Pract       Date:  2008-08-12       Impact factor: 5.602

8.  Continuous glucose monitoring in children with glycogen storage disease type I.

Authors:  Ç S Kasapkara; G Cinasal Demir; A Hasanoğlu; L Tümer
Journal:  Eur J Clin Nutr       Date:  2013-10-23       Impact factor: 4.016

9.  The Cost-Effectiveness of Real-Time Continuous Glucose Monitoring (RT-CGM) in Type 2 Diabetes.

Authors:  Stephanie J Fonda; Claudia Graham; Julie Munakata; Julia M Powers; David Price; Robert A Vigersky
Journal:  J Diabetes Sci Technol       Date:  2016-06-28

10.  Effect of Continuous Glucose Monitoring on Glycemic Control, Acute Admissions, and Quality of Life: A Real-World Study.

Authors:  Sara Charleer; Chantal Mathieu; Frank Nobels; Christophe De Block; Regis P Radermecker; Michel P Hermans; Youri Taes; Chris Vercammen; Guy T'Sjoen; Laurent Crenier; Steffen Fieuws; Bart Keymeulen; Pieter Gillard
Journal:  J Clin Endocrinol Metab       Date:  2018-03-01       Impact factor: 5.958

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  6 in total

Review 1.  Glycogen Storage Disease Type Ia: Current Management Options, Burden and Unmet Needs.

Authors:  Terry G J Derks; David F Rodriguez-Buritica; Ayesha Ahmad; Foekje de Boer; María L Couce; Sarah C Grünert; Philippe Labrune; Nerea López Maldonado; Carolina Fischinger Moura de Souza; Rebecca Riba-Wolman; Alessandro Rossi; Heather Saavedra; Rupal Naik Gupta; Vassili Valayannopoulos; John Mitchell
Journal:  Nutrients       Date:  2021-10-27       Impact factor: 5.717

2.  Validity of continuous glucose monitoring for categorizing glycemic responses to diet: implications for use in personalized nutrition.

Authors:  Jordi Merino; Inbar Linenberg; Kate M Bermingham; Sajaysurya Ganesh; Elco Bakker; Linda M Delahanty; Andrew T Chan; Joan Capdevila Pujol; Jonathan Wolf; Haya Al Khatib; Paul W Franks; Tim D Spector; Jose M Ordovas; Sarah E Berry; Ana M Valdes
Journal:  Am J Clin Nutr       Date:  2022-06-07       Impact factor: 8.472

3.  A Prospective Study on Continuous Glucose Monitoring in Glycogen Storage Disease Type Ia: Toward Glycemic Targets.

Authors:  Alessandro Rossi; Annieke Venema; Petra Haarsma; Lude Feldbrugge; Rob Burghard; David Rodriguez-Buritica; Giancarlo Parenti; Maaike H Oosterveer; Terry G J Derks
Journal:  J Clin Endocrinol Metab       Date:  2022-08-18       Impact factor: 6.134

Review 4.  Dynamic Methods for Childhood Hypoglycemia Phenotyping: A Narrative Review.

Authors:  Alessandro Rossi; Martijn G S Rutten; Theo H van Dijk; Barbara M Bakker; Dirk-Jan Reijngoud; Maaike H Oosterveer; Terry G J Derks
Journal:  Front Endocrinol (Lausanne)       Date:  2022-06-17       Impact factor: 6.055

5.  Predominance of the c.648G > T G6PC gene mutation and late complications in Korean patients with glycogen storage disease type Ia.

Authors:  Yoo-Mi Kim; Jin-Ho Choi; Beom-Hee Lee; Gu-Hwan Kim; Kyung-Mo Kim; Han-Wook Yoo
Journal:  Orphanet J Rare Dis       Date:  2020-02-11       Impact factor: 4.123

6.  A retrospective in-depth analysis of continuous glucose monitoring datasets for patients with hepatic glycogen storage disease: Recommended outcome parameters for glucose management.

Authors:  Fabian Peeks; Irene J Hoogeveen; R Lude Feldbrugge; Rob Burghard; Foekje de Boer; Marieke J Fokkert-Wilts; Melanie M van der Klauw; Maaike H Oosterveer; Terry G J Derks
Journal:  J Inherit Metab Dis       Date:  2021-05-05       Impact factor: 4.982

  6 in total

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