Literature DB >> 26272739

Shortfalls of the use of HbA1C-derived eAG in older adults with diabetes.

M N Munshi1, A R Segal2, C Slyne3, A A Samur4, K M Brooks5, E S Horton6.   

Abstract

AIMS: The hemoglobin HbA1C (HbA1C) value, translated into estimated average glucose concentration (eAG), is commonly used to assess glycaemic control and manage treatment regimens in people with diabetes. However, the relationships among HbA1C-derived eAG, and mean glucose concentration derived from continuous glucose monitoring (CGM) in different populations have not been well studied. We examined this relationship in older people with diabetes and compared the results to those currently used in clinical practice.
METHODS: Data from three studies evaluating CGM in older adults (≥70 years of age), with stable glycaemic control were analyzed retrospectively. Mean glucose and mean amplitude of glucose excursion (MAGE) were calculated from CGM data and correlated with HbA1C and HbA1C-derived eAG using the ADAG study formula.
RESULTS: HbA1C and CGM data were analyzed from 90 patients with mean age 76±5 years, HbA1C 7.9±1.2% (63±13 mmol/mol) and 77% with Type 2 diabetes. The HbA1C and HbA1C-derived eAG correlated significantly with CGM-measured mean glucose (r(2)=0.30, p<0.0001) and MAGE (r(2)=0.16, p=0.00013) in this population and all its subgroups, but the slopes of the relationship between HbA1C and eAG or CGM-measured mean glucose were significantly different.
CONCLUSIONS: HbA1C-derived eAG values may not accurately reflect CGM-measured mean glucose or MAGE in older adults with diabetes. Wide glucose excursions should be considered and HbA1C should be interpreted cautiously when making treatment changes based on HbA1C.
Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Diabetes; Estimated average glucose (eAG); HbA1c; Older adults

Mesh:

Substances:

Year:  2015        PMID: 26272739     DOI: 10.1016/j.diabres.2015.07.012

Source DB:  PubMed          Journal:  Diabetes Res Clin Pract        ISSN: 0168-8227            Impact factor:   5.602


  7 in total

1.  The Reproducibility and Usefulness of Estimated Average Glucose for Hyperglycemia Management during Health Checkups: A Retrospective Cross-Sectional Study.

Authors:  Eun-Hee Nah; Seon Cho; Hyeran Park; Dongwon Noh; Eunjoo Kwon; Han-Ik Cho
Journal:  Healthcare (Basel)       Date:  2022-04-29

2.  The Relationship Between CGM-Derived Metrics, A1C, and Risk of Hypoglycemia in Older Adults With Type 1 Diabetes.

Authors:  Elena Toschi; Christine Slyne; Kayla Sifre; Rachel O'Donnell; Jordan Greenberg; Astrid Atakov-Castillo; Sam Carl; Medha Munshi
Journal:  Diabetes Care       Date:  2020-05-27       Impact factor: 19.112

3.  Estimation of the Relative Contribution of Postprandial Glucose Exposure to Average Total Glucose Exposure in Subjects with Type 2 Diabetes.

Authors:  Bo Ahrén; James E Foley
Journal:  Int J Endocrinol       Date:  2016-08-18       Impact factor: 3.257

4.  Translating HbA1c measurements into estimated average glucose values in pregnant women with diabetes.

Authors:  Graham R Law; Mark S Gilthorpe; Anna L Secher; Rosemary Temple; Rudolf Bilous; Elisabeth R Mathiesen; Helen R Murphy; Eleanor M Scott
Journal:  Diabetologia       Date:  2017-01-19       Impact factor: 10.122

5.  Association of Glucose Fluctuations with Sarcopenia in Older Adults with Type 2 Diabetes Mellitus.

Authors:  Noriko Ogama; Takashi Sakurai; Shuji Kawashima; Takahisa Tanikawa; Haruhiko Tokuda; Shosuke Satake; Hisayuki Miura; Atsuya Shimizu; Manabu Kokubo; Shumpei Niida; Kenji Toba; Hiroyuki Umegaki; Masafumi Kuzuya
Journal:  J Clin Med       Date:  2019-03-06       Impact factor: 4.241

6.  Association between estimated blood glucose levels and glycated hemoglobin levels.

Authors:  Seon-Ah Cha; Seung-Hyun Ko
Journal:  Korean J Intern Med       Date:  2016-04-29       Impact factor: 2.884

7.  Diabetes Management in the Elderly.

Authors:  Erika Leung; Supakanya Wongrakpanich; Medha N Munshi
Journal:  Diabetes Spectr       Date:  2018-08
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.