Literature DB >> 24034513

Do data in the literature indicate that glycaemic variability is a clinical problem? Glycaemic variability and vascular complications of diabetes.

F Cavalot1.   

Abstract

In recent years glycaemic variability (GV) has emerged as a determinant of vascular complications of both type 1 and type 2 diabetes mellitus. In type 1 diabetes analysis of data of GV show conflicting results on both micro- and macro-vascular complications. In non-diabetic subjects blood glucose after loading is a stronger predictor of cardiovascular complications than fasting glucose. In type 2 diabetes both coefficient of variation of fasting blood glucose and postprandial blood glucose predict cardiovascular events. Also, long term variability of HbA1c has been associated predominantly with diabetic nephropathy, less frequently with retinopathy. Intervention trials to evaluate the effect of postprandial glucose have been conducted only in prediabetes or in type 2 diabetes and the data are not conclusive. In vitro and in vivo data have shown the mechanisms that are at the basis of the adverse cardiovascular effects of GV, mainly associated with oxidative stress; the atherogenic action of postprandial glucose also involves insulin sensitivity, postprandial increase in serum lipids and glycaemic index of food. Thus, correction of GV emerges as a target to be pursued in clinical practice in order to safely reduce mean blood glucose (and thus glycated haemoglobin) and for its direct effects on vascular complications of diabetes.
© 2013 John Wiley & Sons Ltd.

Entities:  

Keywords:  fasting blood glucose; glycaemic variability; glycated haemoglobin; postprandial blood glucose; type 1 diabetes; type 2 diabetes; vascular complications

Mesh:

Substances:

Year:  2013        PMID: 24034513     DOI: 10.1111/dom.12140

Source DB:  PubMed          Journal:  Diabetes Obes Metab        ISSN: 1462-8902            Impact factor:   6.577


  25 in total

1.  A prospective study of low fasting glucose with cardiovascular disease events and all-cause mortality: The Women's Health Initiative.

Authors:  Morgana Mongraw-Chaffin; Andrea Z LaCroix; Dorothy D Sears; Lorena Garcia; Lawrence S Phillips; Elena Salmoirago-Blotcher; Oleg Zaslavsky; Cheryl A M Anderson
Journal:  Metabolism       Date:  2017-02-16       Impact factor: 8.694

2.  Amelioration of arterial pressure lability: an unmissable target for diabetes management.

Authors:  Atsushi Tanaka; Koichi Node
Journal:  Hypertens Res       Date:  2017-03-16       Impact factor: 3.872

3.  Reducing glucose variability with continuous subcutaneous insulin infusion increases endothelial progenitor cells in type 1 diabetes: an observational study.

Authors:  Maria Ida Maiorino; Ofelia Casciano; Elisabetta Della Volpe; Giuseppe Bellastella; Dario Giugliano; Katherine Esposito
Journal:  Endocrine       Date:  2015-07-17       Impact factor: 3.633

4.  Glucose variability inversely associates with endothelial progenitor cells in type 1 diabetes.

Authors:  Maria Ida Maiorino; Elisabetta Della Volpe; Laura Olita; Giuseppe Bellastella; Dario Giugliano; Katherine Esposito
Journal:  Endocrine       Date:  2014-05-07       Impact factor: 3.633

Review 5.  Management of Type 2 Diabetes - Methods for Addition of Prandial to Basal Insulin.

Authors:  W Rodbard Helena; Boris Karolicki
Journal:  Eur Endocrinol       Date:  2014-08-25

Review 6.  Haemoglobin A1c or Glycated Albumin for Diagnosis and Monitoring Diabetes: An African Perspective.

Authors:  J A George; R T Erasmus
Journal:  Indian J Clin Biochem       Date:  2018-05-03

7.  Glycemic control and variability in association with body mass index and body composition over 18months in youth with type 1 diabetes.

Authors:  Leah M Lipsky; Benjamin Gee; Aiyi Liu; Tonja R Nansel
Journal:  Diabetes Res Clin Pract       Date:  2016-08-06       Impact factor: 5.602

Review 8.  Biomarkers in Diabetic Retinopathy.

Authors:  Alicia J Jenkins; Mugdha V Joglekar; Anandwardhan A Hardikar; Anthony C Keech; David N O'Neal; Andrzej S Januszewski
Journal:  Rev Diabet Stud       Date:  2015-08-10

9.  HbA1c variability as an independent predictor of diabetes retinopathy in patients with type 2 diabetes.

Authors:  Jiaqi Hu; Huichun Hsu; Xiaodan Yuan; Kezheng Lou; Cunyi Hsue; Joshua D Miller; Juming Lu; Yaujiunn Lee; Qingqing Lou
Journal:  J Endocrinol Invest       Date:  2020-09-08       Impact factor: 4.256

10.  Biomarkers for Progression in Diabetic Retinopathy: Expanding Personalized Medicine through Integration of AI with Electronic Health Records.

Authors:  Cris Martin P Jacoba; Leo Anthony Celi; Paolo S Silva
Journal:  Semin Ophthalmol       Date:  2021-03-18       Impact factor: 1.975

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