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Relationship between mean blood glucose and glycated haemoglobin in Type 2 diabetic patients
Author(s) -
Makris K.,
Spanou L.,
RambaouniAntoneli A.,
Koniari K.,
Drakopoulos I.,
Rizos D.,
Haliassos A.
Publication year - 2008
Publication title -
diabetic medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.474
H-Index - 145
eISSN - 1464-5491
pISSN - 0742-3071
DOI - 10.1111/j.1464-5491.2007.02379.x
Subject(s) - medicine , diabetes mellitus , body mass index , type 2 diabetes , glycated haemoglobin , glycated hemoglobin , endocrinology , statistical significance , gastroenterology
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 = 0.790 x + 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 × HbA 1c ) – 79.21, r = 0.93; or MBG (mmol/l) = 1.91 × 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.