Literature DB >> 14598868

Haemoglobin A1c--a marker for complications of type 2 diabetes: the experience from the UK Prospective Diabetes Study (UKPDS).

Susan Manley1.   

Abstract

Haemoglobin A1c (HbA1c) is the pre-eminent factor for quantifying the risk of complications in patients with diabetes and for monitoring glycaemia. Intervention to lower blood glucose in the two landmark clinical trials, the UK Prospective Diabetes Study (UKPDS) and the Diabetes Control and Complications Trial (DCCT), led to a reduction in the microvascular complications of diabetes. Glycaemic status could be compared in the UKPDS and DCCT as the Bio-Rad Diamat HPLC analyser, as used in the DCCT, was introduced in 1989 for measurement of HbA1c in the UKPDS, after liaison with the DCCT. Results from other methods used for measurement of glycated haemoglobin during the UKPDS were aligned to this method. The Bio-Rad Diamat analyser in the central laboratory for the UKPDS, reference range 4.5-6.2% HbA1c, was certified as comparable to the DCCT by the National Glycohemoglobin Standardization Program in 1998. A median difference in HbA1c of 0.9% was maintained over 10 years between the intensively and conventionally treated groups in the UKPDS (7.0% vs. 7.9% HbA1c) despite HbA1c increasing over time. Clinical care was transferred to general practitioners after the end of the main glucose control study for post-study monitoring. Over the first 3 years of post-study monitoring, HbA1c rose slightly in the previously intensively treated group with no appreciable increase in the conventional group, due to intensification of therapy. At near-normal HbA1c, < 6%, the updated mean value chosen to reflect glycaemic exposure throughout the UKPDS, the incidence of myocardial infarction was 2-3 times that of microvascular disease, with similar incidences for both complications at >10% updated mean HbA1c. Relationships between the risk of complications of type 2 diabetes and updated mean HbA1c had no observable thresholds. The UKPDS risk engine derived from the UKPDS database calculates coronary heart disease risk using HbA1c as a continuous variable and could now replace the Framingham equations for patients with type 2 diabetes.

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Year:  2003        PMID: 14598868     DOI: 10.1515/CCLM.2003.182

Source DB:  PubMed          Journal:  Clin Chem Lab Med        ISSN: 1434-6621            Impact factor:   3.694


  27 in total

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2.  Clinical trials report. Metabolic effects of carvedilol versus metoprolol in patients with type 2 diabetes mellitus and hypertension.

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3.  Effects of pioglitazone and insulin on tight glycaemic control assessed by the continuous glucose monitoring system : a monocentric, parallel-cohort study.

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Journal:  Clin Drug Investig       Date:  2005       Impact factor: 2.859

4.  Continuous low- to moderate-intensity exercise training is as effective as moderate- to high-intensity exercise training at lowering blood HbA(1c) in obese type 2 diabetes patients.

Authors:  D Hansen; P Dendale; R A M Jonkers; M Beelen; R J F Manders; L Corluy; A Mullens; J Berger; R Meeusen; L J C van Loon
Journal:  Diabetologia       Date:  2009-04-16       Impact factor: 10.122

5.  Telemedicine-based KADIS combined with CGMS has high potential for improving outpatient diabetes care.

Authors:  Eckhard Salzsieder; Petra Augstein; Lutz Vogt; Klaus-Dieter Kohnert; Peter Heinke; Ernst-Joachim Freyse; Abdel Azim Ahmed; Zakia Metwali; Iman Salman; Omer Attef
Journal:  J Diabetes Sci Technol       Date:  2007-07

6.  Bimodal distribution of glucose is not universally useful for diagnosing diabetes.

Authors:  Dorte Vistisen; Stephen Colagiuri; Knut Borch-Johnsen
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7.  Accuracy and robustness of dynamical tracking of average glycemia (A1c) to provide real-time estimation of hemoglobin A1c using routine self-monitored blood glucose data.

Authors:  Boris P Kovatchev; Frank Flacke; Jochen Sieber; Marc D Breton
Journal:  Diabetes Technol Ther       Date:  2013-12-03       Impact factor: 6.118

8.  Analysis and Quantitation of Glycated Hemoglobin by Matrix Assisted Laser Desorption/Ionization Time of Flight Mass Spectrometry.

Authors:  Stephen J Hattan; Kenneth C Parker; Marvin L Vestal; Jane Y Yang; David A Herold; Mark W Duncan
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Review 9.  Controlled-release carvedilol in the management of systemic hypertension and myocardial dysfunction.

Authors:  William H Frishman; Linda S Henderson; Mary Ann Lukas
Journal:  Vasc Health Risk Manag       Date:  2008

10.  Design, statistical analysis and sample size calculation of a phase IIb/III study of linagliptin versus voglibose and placebo.

Authors:  Yoshiharu Horie; Naoyuki Hayashi; Klaus Dugi; Masahiro Takeuchi
Journal:  Trials       Date:  2009-09-05       Impact factor: 2.279

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