Literature DB >> 22466072

The importance of HbA1c and glucose variability in patients with type 1 and type 2 diabetes: outcome of continuous glucose monitoring (CGM).

Giovanni Sartore1, Nino Cristiano Chilelli, Silvia Burlina, Paola Di Stefano, Francesco Piarulli, Domenico Fedele, Andrea Mosca, Annunziata Lapolla.   

Abstract

Glucose variability has recently been investigated in diabetic patients in several studies, but most of them considered only a few variability indicators and did not systematically correlate them with patients' HbA1c levels and other important characteristics. In thus study, the correlations between HbA1c levels and metabolic control (average glucose, AG), glucose variability (SD, CONGA, MAGE, MODD, BG ROC), hyperglycemia (HBGI), hypoglycemia (LBGI) and postprandial (AUC PP) indices were investigated in patients with type 1 and type 2 diabetes. The study involved 68 patients divided into 3 groups as follows: 35 patients had type 1 diabetes (group 1); 17 had type 2 diabetes and were taking multiple daily injections (MDI) of insulin (group 2); and 16 patients had type 2 diabetes treated with OHA and/or basal insulin (group 3). The indicators were obtained over at least 48 h using a continuous glucose monitoring (CGM) system. HbA1c levels were measured at the baseline and after CGM. HbA1c correlated significantly with AG (r = 0.74), AUC PP (r = 0.69) and HBGI (r = 0.74), but only in type 1 diabetic patients. Patients with longstanding disease and type 1 diabetes had a greater glucose variability, irrespective of their HbA1c levels. Insulin therapy with MDI correlated strongly with HbA1c, but not with glucose variability. HbA1c levels identify states of sustained hyperglycemia and seem to be unaffected by hypoglycemic episodes or short-lived glucose spikes, consequently revealing shortcomings as a "gold standard" indicator of metabolic control. Glucose variability indicators describe the glucose profile of type 1 diabetic patients and identify any worsening glycemic control (typical of longstanding diabetes) more accurately than HbA1c tests.

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Year:  2012        PMID: 22466072     DOI: 10.1007/s00592-012-0391-4

Source DB:  PubMed          Journal:  Acta Diabetol        ISSN: 0940-5429            Impact factor:   4.280


  20 in total

1.  Role of glycemic variability in gestational diabetes mellitus (GDM): still an uphill climb.

Authors:  Annunziata Lapolla; Nino Cristiano Chilelli
Journal:  Endocrine       Date:  2012-09-28       Impact factor: 3.633

2.  Longitudinal associations of nutritional factors with glycated hemoglobin in youth with type 1 diabetes: the SEARCH Nutrition Ancillary Study.

Authors:  Archana P Lamichhane; Jamie L Crandell; Lindsay M Jaacks; Sarah C Couch; Jean M Lawrence; Elizabeth J Mayer-Davis
Journal:  Am J Clin Nutr       Date:  2015-05-06       Impact factor: 7.045

3.  Comparison of Subcutaneous Regular Insulin and Lispro Insulin in Diabetics Receiving Continuous Nutrition: A Numerical Study.

Authors:  Mamie C Stull; Richard J Strilka; Michael S Clemens; Scott B Armen
Journal:  J Diabetes Sci Technol       Date:  2015-06-30

4.  Associations of blood glucose dynamics with antihyperglycemic treatment and glycemic variability in type 1 and type 2 diabetes.

Authors:  K-D Kohnert; P Heinke; L Vogt; P Augstein; A Thomas; E Salzsieder
Journal:  J Endocrinol Invest       Date:  2017-05-08       Impact factor: 4.256

5.  Effect of combined application insulin and insulin detemir on continous glucose monitor in children with type 1 diabetes mellitus.

Authors:  Xiao-Yun Chen; Qing Dong; Gui-Mei Li
Journal:  Int J Clin Exp Med       Date:  2015-03-15

6.  Insulin degludec is associated with less frequent and milder hypoglycemia in insulin-deficient patients with type 1 diabetes compared with insulin glargine or detemir.

Authors:  Shingo Iwasaki; Junji Kozawa; Takekazu Kimura; Kenji Fukui; Hiromi Iwahashi; Akihisa Imagawa; Iichiro Shimomura
Journal:  Diabetol Int       Date:  2017-01-18

7.  Association of time in range with hemoglobin A1c, glycated albumin and 1,5-anhydro-d-glucitol.

Authors:  Mana Ohigashi; Keiko Osugi; Yoshiki Kusunoki; Kahori Washio; Satoshi Matsutani; Taku Tsunoda; Toshihiro Matsuo; Kosuke Konishi; Tomoyuki Katsuno; Mitsuyoshi Namba; Hidenori Koyama
Journal:  J Diabetes Investig       Date:  2020-11-15       Impact factor: 4.232

Review 8.  Italian contributions to the development of continuous glucose monitoring sensors for diabetes management.

Authors:  Giovanni Sparacino; Mattia Zanon; Andrea Facchinetti; Chiara Zecchin; Alberto Maran; Claudio Cobelli
Journal:  Sensors (Basel)       Date:  2012-10-12       Impact factor: 3.576

9.  Association between blood glucose variability and coronary plaque instability in patients with acute coronary syndromes.

Authors:  Kozo Okada; Kiyoshi Hibi; Masaomi Gohbara; Shunsuke Kataoka; Keiko Takano; Eiichi Akiyama; Yasushi Matsuzawa; Kenichiro Saka; Nobuhiko Maejima; Mitsuaki Endo; Noriaki Iwahashi; Kengo Tsukahara; Masami Kosuge; Toshiaki Ebina; Peter J Fitzgerald; Yasuhiro Honda; Satoshi Umemura; Kazuo Kimura
Journal:  Cardiovasc Diabetol       Date:  2015-08-20       Impact factor: 9.951

Review 10.  Glycemic Variability: How Do We Measure It and Why Is It Important?

Authors:  Sunghwan Suh; Jae Hyeon Kim
Journal:  Diabetes Metab J       Date:  2015-08       Impact factor: 5.376

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