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Glycemic Variability and Vascular Complications in Patients with Type 2 Diabetes Mellitus
M. Caprnda, D. Mesarosova, PF. Ortega, B. Krahulec, E. Egom, L. Rodrigo, P. Kruzliak, I. Mozos, L. Gaspar,
Language English Country Germany
Document type Journal Article
NLK
Free Medical Journals
from 2010
ProQuest Central
from 2008-10-01
Open Access Digital Library
from 2010-01-01
Open Access Digital Library
from 2010-09-25
Health & Medicine (ProQuest)
from 2008-10-01
ROAD: Directory of Open Access Scholarly Resources
from 1959
- MeSH
- Analysis of Variance MeSH
- Diabetes Mellitus, Type 2 blood diagnosis MeSH
- Diabetic Angiopathies diagnosis epidemiology MeSH
- Glycemic Index * MeSH
- Glycated Hemoglobin analysis MeSH
- Risk Assessment MeSH
- Incidence MeSH
- Cohort Studies MeSH
- Blood Glucose analysis MeSH
- Middle Aged MeSH
- Humans MeSH
- Follow-Up Studies MeSH
- Retrospective Studies MeSH
- Sex Distribution MeSH
- Aged, 80 and over MeSH
- Aged MeSH
- Severity of Illness Index MeSH
- Age Distribution MeSH
- Check Tag
- Middle Aged MeSH
- Humans MeSH
- Male MeSH
- Aged, 80 and over MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
BACKGROUND: Presence of macro- and microvascular complications in patients with diabetes mellitus (DM) is not only related to chronic hyperglycemia represented by glycated hemoglobin (HbA1c) but also to acute glycemic fluctuations (glycemic variability, GV). The association between GV and DM complications is not completely clear. Aim of our study was to evaluate GV by MAGE index in patients with type 2 DM and to verify association of MAGE index with presence of macro- and microvascular DM complications. METHODS: 99 patients with type 2 DM were included in the study. Every patient had done big glycemic profile, from which MAGE index was calculated. Anthropometric measurements, evaluation of HbA1c and fasting plasma glucose (FPG) and assessment for macrovascular (coronary artery disease - CAD; peripheral artery disease - PAD; cerebral stroke - CS) and microvascular (diabetic retinopathy - DR; nephropathy - DN; peripheral neuropathy - DPPN) DM complications were done. RESULTS: Average MAGE index value was 5.15 ± 2.88 mmol/l. We found no significant differences in MAGE index values in subgroups according to presence of neither CAD, CS, PAD nor DR, DN, DPPN. MAGE index value significantly positively correlated with FPG (p < 0.01) and HbA1c (p < 0.001) and negatively with weight (p < 0.05). CONCLUSION: In our study we failed to show association of MAGE index with presence of macrovascular and microvascular complications in patients with type 2 DM. However, this negative result does not necessarily disprove importance of glycemic variability in pathogenesis of diabetic complications.
1st Department of Internal Medicine School of Medicine Comenius University Bratislava Slovakia
Department of Clinical Medicine Education Division Trinity College Dublin Dublin Ireland
University of Oviedo Central University Hospital of Asturias Oviedo Spain
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- $a BACKGROUND: Presence of macro- and microvascular complications in patients with diabetes mellitus (DM) is not only related to chronic hyperglycemia represented by glycated hemoglobin (HbA1c) but also to acute glycemic fluctuations (glycemic variability, GV). The association between GV and DM complications is not completely clear. Aim of our study was to evaluate GV by MAGE index in patients with type 2 DM and to verify association of MAGE index with presence of macro- and microvascular DM complications. METHODS: 99 patients with type 2 DM were included in the study. Every patient had done big glycemic profile, from which MAGE index was calculated. Anthropometric measurements, evaluation of HbA1c and fasting plasma glucose (FPG) and assessment for macrovascular (coronary artery disease - CAD; peripheral artery disease - PAD; cerebral stroke - CS) and microvascular (diabetic retinopathy - DR; nephropathy - DN; peripheral neuropathy - DPPN) DM complications were done. RESULTS: Average MAGE index value was 5.15 ± 2.88 mmol/l. We found no significant differences in MAGE index values in subgroups according to presence of neither CAD, CS, PAD nor DR, DN, DPPN. MAGE index value significantly positively correlated with FPG (p < 0.01) and HbA1c (p < 0.001) and negatively with weight (p < 0.05). CONCLUSION: In our study we failed to show association of MAGE index with presence of macrovascular and microvascular complications in patients with type 2 DM. However, this negative result does not necessarily disprove importance of glycemic variability in pathogenesis of diabetic complications.
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