Literature DB >> 19437415

Integrating glycaemic variability in the glycaemic disorders of type 2 diabetes: a move towards a unified glucose tetrad concept.

Louis Monnier1, Claude Colette, David R Owens.   

Abstract

The high incidence of atherosclerosis and cardiovascular disease (CVD) is the leading cause of morbidity and mortality among patients with diabetes. Evidence is accumulating that postprandial hyperglycaemia is an independent risk factor for diabetes-associated complications and mortality, and that worsening diabetes control is characterized by postprandial glucose (PPG) deterioration preceding an impairment in fasting glucose levels. Postprandial and general glucose fluctuations play a major role in activating oxidative stress, leading to the endothelial dysfunction, one of the mechanisms responsible for vascular complications. Therefore, the management of PPG is key for any strategy used in the monitoring and treatment of diabetes. We recommend that any strategy aimed at controlling the glycaemic disorders associated with type 2 diabetes, and limiting the risk of complications, should target the 'glucose tetrad', which comprises the following components: HbA(1c), fasting and postprandial plasma glucose, and markers of glycaemic variability, such as the mean amplitude of glycaemic excursions (MAGE) index. This brings together, in a simple, unified concept, the conventional markers (HbA(1c) and fasting glucose) and the more recently recognized markers of glycaemic control (PPG excursions and acute glycaemic variability).

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19437415     DOI: 10.1002/dmrr.962

Source DB:  PubMed          Journal:  Diabetes Metab Res Rev        ISSN: 1520-7552            Impact factor:   4.876


  36 in total

1.  High-normal serum thyrotropin levels and increased glycemic variability in type 2 diabetic patients.

Authors:  Jian-Bin Su; Li-Hua Zhao; Xiu-Lin Zhang; Hong-Li Cai; Hai-Yan Huang; Feng Xu; Tong Chen; Xue-Qin Wang
Journal:  Endocrine       Date:  2018-04-12       Impact factor: 3.633

2.  Comparison of glucose variability assessed by a continuous glucose-monitoring system in patients with type 2 diabetes mellitus switched from NPH insulin to insulin glargine: the COBIN2 study.

Authors:  Denisa Janickova Zdarska; Milan Kvapil; Zdenek Rusavy; Michal Krcma; Jan Broz; Bohumila Krivska; Pavla Kadlecova
Journal:  Wien Klin Wochenschr       Date:  2014-02-22       Impact factor: 1.704

3.  Hyperglycemia in-hospital management.

Authors:  Luz Marina Prieto-Sanchez
Journal:  Ther Adv Endocrinol Metab       Date:  2011-02       Impact factor: 3.565

4.  Comparing the disease profiles of adult patients with type 2 diabetes mellitus attending four public health care facilities in Malaysia.

Authors:  B H Chew; I Mastura; M A Bujang
Journal:  Malays Fam Physician       Date:  2013-12-31

5.  International Forum for the Advancement of Diabetes Research and Care, April 29-30, 2011, Athens, Greece.

Authors:  Geremia B Bolli; Larry C Deeb; Satish K Garg; John L Leahy; Roger S Mazze; David R Owens; Matthew C Riddle; Phil Southerland; Ellie S Strock
Journal:  Diabetes Technol Ther       Date:  2011-09       Impact factor: 6.118

6.  Associations of serum glucagon levels with glycemic variability in type 1 diabetes with different disease durations.

Authors:  Ke Li; Wen-Jing Song; Xia Wu; Dan-Yang Gu; Pu Zang; Ping Gu; Bin Lu; Jia-Qing Shao
Journal:  Endocrine       Date:  2018-06-18       Impact factor: 3.633

7.  Single-nucleotide polymorphisms in chromosome 3p14.1- 3p14.2 are associated with susceptibility of type 2 diabetes with cataract.

Authors:  Hui-Ju Lin; Yu-Chuen Huang; Jane-Ming Lin; Jer-Yuarn Wu; Liuh-An Chen; Chao-Jen Lin; Yung-Ping Tsui; Chih-Ping Chen; Fuu-Jen Tsai
Journal:  Mol Vis       Date:  2010-07-01       Impact factor: 2.367

8.  Evaluation of the Effect of Carbohydrate Intake on Postprandial Glucose in Patients With Type 1 Diabetes Treated With Insulin Pumps.

Authors:  Mariel L James; Louisa Green; Stephanie A Amiel; Pratik Choudhary
Journal:  J Diabetes Sci Technol       Date:  2016-11-01

9.  Association of glycaemic variability evaluated by continuous glucose monitoring with diabetic peripheral neuropathy in type 2 diabetic patients.

Authors:  Yu-Ming Hu; Li-Hua Zhao; Xiu-Lin Zhang; Hong-Li Cai; Hai-Yan Huang; Feng Xu; Tong Chen; Xue-Qin Wang; Ai-Song Guo; Jian-An Li; Jian-Bin Su
Journal:  Endocrine       Date:  2018-02-06       Impact factor: 3.633

Review 10.  The impact of glycemic variability on diabetic peripheral neuropathy.

Authors:  Heung Yong Jin; Kyung Ae Lee; Tae Sun Park
Journal:  Endocrine       Date:  2016-07-06       Impact factor: 3.633

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.