Literature DB >> 30841740

Impact of CGM on the Management of Hypoglycemia Problems: Overview and Secondary Analysis of the HypoDE Study.

Norbert Hermanns1,2,3, Lutz Heinemann4, Guido Freckmann5, Delia Waldenmaier5, Dominic Ehrmann1,2.   

Abstract

Hypoglycemia remains the limiting factor of near-normal glucose control in people with diabetes using insulin therapy. Continuous glucose monitoring (CGM) may be able to avoid hypoglycemia and support the management of hypoglycemia problems in clinical care. Real-time continuous glucose monitoring (rtCGM) systems provide alerts if certain predetermined hypo- or hyperglycemic thresholds are exceeded. The combination of rtCGM systems with insulin pumps allows insulin delivery to be suspended if glucose falls below certain predefined thresholds. This might also support avoidance of hypoglycemia. More sophisticated closed-loop systems allow a semiautomatic insulin dosage, which also have the potential for the prevention of hypoglycemia. In this overview, we discuss and illustrate (1) the efficacy of CGM for intervention in people with hypoglycemia problems and for the avoidance of biochemical as well as clinical hypoglycemia; (2) the potential of CGM technology for the identification of people with diabetes who are at risk for hypoglycemia problems; and (3) the implications of the current state of the art for future research regarding CGM and hypoglycemia. As an example, how rtCGM data can facilitate identification of people with diabetes and an elevated risk of hypoglycemia, a secondary analysis of the HypoDE data is presented. We conclude that CGM technology can assist in the reliable identification of people with diabetes who are at risk for hypoglycemia problems, is a powerful intervention for the avoidance of mild as well as severe hypoglycemia, and can also stimulate research on the course of hypoglycemia problems.

Entities:  

Keywords:  continuous glucose monitoring; flash glucose monitoring; hypoglycemia; intervention

Mesh:

Substances:

Year:  2019        PMID: 30841740      PMCID: PMC6610605          DOI: 10.1177/1932296819831695

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


  43 in total

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Journal:  Diabetes       Date:  1992-03       Impact factor: 9.461

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Journal:  Diabetes Care       Date:  2005-03       Impact factor: 19.112

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Journal:  Biol Psychol       Date:  2003-04       Impact factor: 3.251

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Journal:  Semin Clin Neuropsychiatry       Date:  1997-01

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Authors:  W L Clarke; D J Cox; L A Gonder-Frederick; B Kovatchev
Journal:  JAMA       Date:  1999-08-25       Impact factor: 56.272

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Journal:  Physiol Behav       Date:  1999-08-01

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Authors:  Ulrik Pedersen-Bjergaard; Stig Pramming; Simon R Heller; Tara M Wallace; Ase K Rasmussen; Hanne V Jørgensen; David R Matthews; Philip Hougaard; Birger Thorsteinsson
Journal:  Diabetes Metab Res Rev       Date:  2004 Nov-Dec       Impact factor: 4.876

8.  Diabetes and driving mishaps: frequency and correlations from a multinational survey.

Authors:  Daniel J Cox; Jennifer Kim Penberthy; John Zrebiec; Katie Weinger; James E Aikens; Brian Frier; Barbara Stetson; Mary DeGroot; Paula Trief; Hartmut Schaechinger; Norbert Hermanns; Linda Gonder-Frederick; William Clarke
Journal:  Diabetes Care       Date:  2003-08       Impact factor: 19.112

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Authors:  J N Henderson; K V Allen; I J Deary; B M Frier
Journal:  Diabet Med       Date:  2003-12       Impact factor: 4.359

10.  The association between symptomatic, severe hypoglycaemia and mortality in type 2 diabetes: retrospective epidemiological analysis of the ACCORD study.

Authors:  Denise E Bonds; Michael E Miller; Richard M Bergenstal; John B Buse; Robert P Byington; Jeff A Cutler; R James Dudl; Faramarz Ismail-Beigi; Angela R Kimel; Byron Hoogwerf; Karen R Horowitz; Peter J Savage; Elizabeth R Seaquist; Debra L Simmons; William I Sivitz; Joann M Speril-Hillen; Mary Ellen Sweeney
Journal:  BMJ       Date:  2010-01-08
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  9 in total

1.  Improved Real-World Glycemic Control With Continuous Glucose Monitoring System Predictive Alerts.

Authors:  Sinu Bessy Abraham; Siddharth Arunachalam; Alex Zhong; Pratik Agrawal; Ohad Cohen; Chantal M McMahon
Journal:  J Diabetes Sci Technol       Date:  2019-07-04

2.  Evaluation of Clinical Metrics for Identifying Defective Physiologic Responses to Hypoglycemia in Long-Standing Type 1 Diabetes.

Authors:  Anneliese J Flatt; Elizabeth Chen; Amy J Peleckis; Cornelia Dalton-Bakes; Huong-Lan Nguyen; Heather W Collins; John S Millar; Robert J Gallop; Michael R Rickels
Journal:  Diabetes Technol Ther       Date:  2022-07-26       Impact factor: 7.337

3.  Responses to Low- and High-Intensity Exercise in Adolescents with Type 1 Diabetes in Relation to Their Level of VO2 Max.

Authors:  Artur Myśliwiec; Maria Skalska; Arkadiusz Michalak; Jędrzej Chrzanowski; Małgorzata Szmigiero-Kawko; Agnieszka Lejk; Joanna Jastrzębska; Łukasz Radzimiński; Guillermo F López-Sánchez; Andrzej Gawrecki; Zbigniew Jastrzębski
Journal:  Int J Environ Res Public Health       Date:  2021-01-15       Impact factor: 3.390

4.  Continuous Glucose Monitoring in the Management of Neonates With Persistent Hypoglycemia and Congenital Hyperinsulinism.

Authors:  Myat Win; Rowan Beckett; Lynn Thomson; Ajay Thankamony; Kathryn Beardsall
Journal:  J Clin Endocrinol Metab       Date:  2022-01-01       Impact factor: 5.958

5.  Beliefs Around Hypoglycemia and Their Impacts on Hypoglycemia Outcomes in Individuals with Type 1 Diabetes and High Risks for Hypoglycemia Despite Using Advanced Diabetes Technologies.

Authors:  Yu Kuei Lin; Caroline R Richardson; Iulia Dobrin; Melissa J DeJonckheere; Kara Mizokami-Stout; Michael D Fetters; James E Aikens; Simon J Fisher; Wen Ye; Rodica Pop-Busui
Journal:  Diabetes Care       Date:  2022-03-01       Impact factor: 19.112

6.  Association of hemoglobin A1c time in range with risk for diabetes complications.

Authors:  David C Mohr; Libin Zhang; Julia C Prentice; Richard E Nelson; Donglin Li; Erin Pleasants; Paul R Conlin
Journal:  BMJ Open Diabetes Res Care       Date:  2022-07

Review 7.  Congenital hyperinsulinism in clinical practice: From biochemical pathophysiology to new monitoring techniques.

Authors:  Mariangela Martino; Jacopo Sartorelli; Vincenza Gragnaniello; Alberto Burlina
Journal:  Front Pediatr       Date:  2022-09-23       Impact factor: 3.569

8.  Associations of Time in Range and Other Continuous Glucose Monitoring-Derived Metrics With Well-Being and Patient-Reported Outcomes: Overview and Trends.

Authors:  Dominic Ehrmann; Lilli Priesterroth; Andreas Schmitt; Bernhard Kulzer; Norbert Hermanns
Journal:  Diabetes Spectr       Date:  2021-05-25

9.  The majority of people with type 1 diabetes and multiple daily insulin injections benefit from using continuous glucose monitoring: An analysis based on the GOLD randomized trial (GOLD-5).

Authors:  Arndís F Ólafsdóttir; Jan Bolinder; Tim Heise; William Polonsky; Magnus Ekelund; Magnus Wijkman; Aldina Pivodic; Elsa Ahlén; Erik Schwarcz; Thomas Nyström; Jarl Hellman; Irl B Hirsch; Marcus Lind
Journal:  Diabetes Obes Metab       Date:  2020-12-10       Impact factor: 6.577

  9 in total

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