Literature DB >> 14984436

Global assessment for quality and safety of control in type 2 diabetic patients.

L Monnier1, C Colette, H Lapinski.   

Abstract

BACKGROUND: HbA1c (glycated haemoglobin) suffers from obvious limitations in type 2 diabetic patients at risk of hypoglycaemia or requiring rapid therapeutic adjustments. This study was conducted to discern whether the monitoring of one particular plasma glucose (PG) value of the diurnal profile can be used in such situations.
DESIGN: Four diurnal PG concentrations (at 08:00, 11:00, 14:00 and 17:00 h) were measured in standardized conditions in 480 (246 men, 234 women) noninsulin-using type 2 diabetic patients. Sensitivities for predicting treatment success, i.e. HbA1c<7%, with a specificity > or =90% were calculated and compared using receiver-operating characteristic (ROC) curves.
RESULTS: The probabilities (areas under ROC curves) for predicting HbA1c<7% were significantly higher at 11:00, 14:00 and 17:00 h than at 08:00 h. The optimal PG cut-off values for predicting treatment success were, respectively, 6, 9, 7 and 6 mmol L(-1) at 08:00 h, 11:00, 14:00 and 17:00 h. In most patients the lowest PG values of the diurnal profile were at 17:00 h, and 17.5% of the patients with HbA1c<7% (54.5% of them treated with sulphonylureas) exhibited a PG value less than 4.4 mmol L(-1) at 17:00 h (P=0.0034 vs. the other timepoints).
CONCLUSIONS: Glucose monitoring at 17:00 h, i.e. during the extended postlunch period, appears as a global marker of control in noninsulin-using type 2 diabetic patients both for detecting patients at risk of hypoglycaemia and for assessing the short-term quality of diabetic control.

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Year:  2004        PMID: 14984436     DOI: 10.1111/j.1365-2362.2004.01280.x

Source DB:  PubMed          Journal:  Eur J Clin Invest        ISSN: 0014-2972            Impact factor:   4.686


  3 in total

1.  Should seven be the magic number of type 2 diabetes?

Authors:  L Monnier; C Colette
Journal:  Diabetologia       Date:  2005-08-04       Impact factor: 10.122

2.  Associations between features of glucose exposure and A1C: the A1C-Derived Average Glucose (ADAG) study.

Authors:  Rikke Borg; Judith C Kuenen; Bendix Carstensen; Hui Zheng; David M Nathan; Robert J Heine; Jorn Nerup; Knut Borch-Johnsen; Daniel R Witte
Journal:  Diabetes       Date:  2010-04-27       Impact factor: 9.461

Review 3.  Target for glycemic control: concentrating on glucose.

Authors:  Louis Monnier; Claude Colette
Journal:  Diabetes Care       Date:  2009-11       Impact factor: 19.112

  3 in total

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