Literature DB >> 18290858

Relationship between mean blood glucose and glycated haemoglobin in Type 2 diabetic patients.

K Makris1, L Spanou, A Rambaouni-Antoneli, K Koniari, I Drakopoulos, D Rizos, A Haliassos.   

Abstract

AIMS: To correlate the values of MBG to HbA(1c) in Greek patients with Type 2 diabetes and/or metabolic syndrome.
METHODS: We followed up 140 Greek adult patients: 92 patients with Type 2 diabetes treated with insulin or oral glucose-lowering medication, and 48 patients with newly diagnosed Type 2 diabetes or metabolic syndrome not receiving any treatment. MBG was calculated for each patient from self-measurements of blood glucose using a portable glucometer, made six times a day (before eating and 2 h after a meal), three times a week for 1 month. HbA(1c) was determined by HPLC at 0 and 12 weeks.
RESULTS: HbA(1c) at 0 (x) and 12 weeks (y) correlated strongly (y = 0.790x + 1.115, r = 0.92), confirming that the patient's glycaemic status remained stable during the whole period of follow-up. Linear regression was performed on MBG values; HbA(1c) at 12 weeks, sex, age, body mass index (BMI) and patient status (Type 2 diabetes treated or not) were used as independent variables. None of the independent variables reached statistical significance in the model, with the exception of HbA(1c) at 12 weeks. The final model was: MBG (mg/dl) = (34.74 x HbA(1c)) - 79.21, r = 0.93; or MBG (mmol/l) = 1.91 x HbA(1c) - 4.36, r = 0.93.
CONCLUSIONS: Our results establish for the first time a strong correlation between MBG and HbA(1c) in Type 2 diabetic patients and support the idea of expressing HbA(1c) results as MBG. This will help patients to gain a clearer interpretation of the result, with less confusion. This simplification will allow every person with diabetes using home glucose-monitoring to understand his or her own target level.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18290858     DOI: 10.1111/j.1464-5491.2007.02379.x

Source DB:  PubMed          Journal:  Diabet Med        ISSN: 0742-3071            Impact factor:   4.359


  10 in total

1.  The correlation of hemoglobin A1c to blood glucose.

Authors:  Ken Sikaris
Journal:  J Diabetes Sci Technol       Date:  2009-05-01

Review 2.  Is there a relationship between mean blood glucose and glycated hemoglobin?

Authors:  Konstantinos Makris; Loukia Spanou
Journal:  J Diabetes Sci Technol       Date:  2011-11-01

3.  Hemoglobin A1c and mean glucose in patients with type 1 diabetes: analysis of data from the Juvenile Diabetes Research Foundation continuous glucose monitoring randomized trial.

Authors:  Darrell M Wilson; Dongyuan Xing; Roy W Beck; Jennifer Block; Bruce Bode; Larry A Fox; Irl Hirsch; Craig Kollman; Lori Laffel; Katrina J Ruedy; Michael Steffes; William V Tamborlane
Journal:  Diabetes Care       Date:  2011-01-25       Impact factor: 19.112

4.  Glycemic Profiles of Healthy Individuals with Low Fasting Plasma Glucose and HbA1c.

Authors:  Kyoko Nomura; Tomoyuki Saitoh; Gwang U Kim; Toshikazu Yamanouchi
Journal:  ISRN Endocrinol       Date:  2011-12-08

5.  Efficacy, acceptability and feasibility of daily text-messaging in promoting glycaemic control and other clinical outcomes in a low-resource setting of South Africa: A randomised controlled trial.

Authors:  Eyitayo Omolara Owolabi; Daniel Ter Goon; Anthony Idowu Ajayi
Journal:  PLoS One       Date:  2019-11-27       Impact factor: 3.240

6.  Translating the A1C Assay.

Authors:  Richard Kahn; Vivian Fonseca
Journal:  Diabetes Care       Date:  2008-06-07       Impact factor: 19.112

7.  Relationship between HbA1c and continuous glucose monitoring in Chinese population: a multicenter study.

Authors:  Jian Zhou; Yifei Mo; Hong Li; Xingwu Ran; Wenying Yang; Qiang Li; Yongde Peng; Yanbing Li; Xin Gao; Xiaojun Luan; Weiqing Wang; Yun Xie; Weiping Jia
Journal:  PLoS One       Date:  2013-12-23       Impact factor: 3.240

8.  Single, community-based blood glucose readings may be a viable alternative for community surveillance of HbA1c and poor glycaemic control in people with known diabetes in resource-poor settings.

Authors:  Daniel D Reidpath; Nowrozy K Jahan; Devi Mohan; Pascale Allotey
Journal:  Glob Health Action       Date:  2016-08-09       Impact factor: 2.640

9.  Translating the HbA1c assay into estimated average glucose values in children and adolescents with type 1 diabetes mellitus.

Authors:  Ahmed Sayed; Fawzia Alyafei; Vincenzo De Sanctis; Ashraf Soliman; Mona Elgamal
Journal:  Acta Biomed       Date:  2018-05-23

10.  The use of text messaging for improving adherence to anti-diabetic regimen and glycaemic control in low-resource settings of South Africa: A study protocol for a randomised controlled trial.

Authors:  Eyitayo Omolara Owolabi; Daniel Ter Goon
Journal:  Contemp Clin Trials Commun       Date:  2019-07-19
  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.