Literature DB >> 31980124

HbA1c: The Glucose Management Indicator, Time in Range, and Standardization of Continuous Glucose Monitoring Reports in Clinical Practice.

Anders L Carlson1, Amy B Criego2, Thomas W Martens3, Richard M Bergenstal3.   

Abstract

Continuous glucose monitoring (CGM) use is growing rapidly among people with diabetes and beginning to be standard of care for managing glucose levels in insulin therapy. With this increased use, there is a need to standardize CGM data. CGM standardization has been set forth by expert panels. The Glucose Management Indicator is a concept using the CGM-derived mean glucose to provide a value that can be understood similarly to hemoglobin A1c. The times an individual spends in various glucose ranges is emerging as an important set of metrics. Metrics derived from patient CGM data are changing the way diabetes is managed.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Ambulatory glucose profile; Continuous glucose monitoring; Glucose management indicator; Time in range

Mesh:

Substances:

Year:  2019        PMID: 31980124     DOI: 10.1016/j.ecl.2019.10.010

Source DB:  PubMed          Journal:  Endocrinol Metab Clin North Am        ISSN: 0889-8529            Impact factor:   4.741


  6 in total

Review 1.  Type 1 diabetes mellitus: much progress, many opportunities.

Authors:  Alvin C Powers
Journal:  J Clin Invest       Date:  2021-04-15       Impact factor: 14.808

2.  Effect of Professional CGM (pCGM) on Glucose Management in Type 2 Diabetes Patients in Primary Care.

Authors:  Gregg D Simonson; Richard M Bergenstal; Mary L Johnson; Janet L Davidson; Thomas W Martens
Journal:  J Diabetes Sci Technol       Date:  2021-03-10

3.  Relationship Between Time-in-Range, HbA1c, and the Glucose Management Indicator in Pregnancies Complicated by Type 1 Diabetes.

Authors:  Viral N Shah; Janet K Snell-Bergeon; Jamie K Demmitt; Prakriti Joshee; Rachel Garcetti; Laura Pyle; Sarit Polsky
Journal:  Diabetes Technol Ther       Date:  2021-11-03       Impact factor: 6.118

Review 4.  Use of continuous glucose monitoring trend arrows in the younger population with type 1 diabetes.

Authors:  Nancy Elbarbary; Othmar Moser; Saif Al Yaarubi; Hussain Alsaffar; Adnan Al Shaikh; Ramzi A Ajjan; Asma Deeb
Journal:  Diab Vasc Dis Res       Date:  2021 Nov-Dec       Impact factor: 3.291

5.  Possibility of Venous Serum Cl- Concentration ([Cl-]s) as a Marker for Human Metabolic Status: Correlation of [Cl-]s to Age, Fasting Blood Sugar (FBS), and Glycated Hemoglobin (HbA1c).

Authors:  Yoshinori Marunaka; Katsumi Yagi; Noboru Imagawa; Hironori Kobayashi; Masaru Murayama; Asami Minamibata; Yoshiaki Takanashi; Takashi Nakahari
Journal:  Int J Mol Sci       Date:  2021-10-15       Impact factor: 5.923

6.  Casual C peptide index: Predicting the subsequent need for insulin therapy in outpatients with type 2 diabetes under primary care.

Authors:  Ryota Uehara; Eijiro Yamada; Yasuyo Nakajima; Aya Osaki; Shuichi Okada; Masanobu Yamada
Journal:  J Diabetes       Date:  2022-03-01       Impact factor: 4.530

  6 in total

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