الفهرس 
Type 1 Diabetes MellitusOnly 14 pages are availabe for public view
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Abstract
Background: Emerging evidence indicating that bone marrow-derived EPCs participate in postnatal neovascularization led to the hypothesis that alterations in EPCs number or function could be involved in the pathogenesis of vascular complications in diabetes.
Objectives: To estimate the level of EPCs as assessed by flowcytometric analysis of CD34/KDR and CD133 coexpression in children and adolescents with type 1 DM and to study its relation to diabetes duration, metabolic control, macrovascular and microvascular complications.
Patients and methods: This study is a cross sectional observational study. It included 60 patients, )37 females = 61.7% and 23 males = 38.3%) with type 1 DM with a mean age of 13.6 ± 3.64 yrs, and 30 age and sex matched healthy controls with a mean age of 12.15 ± 3.8 yrs. Patients were subdivided into two groups according to glycemic control . group I (HbA1c % < 7.5) included 30 patients ,18 females (60%) and 12 males (40%) with a mean age of 13.69 ± 3.86 yrs and group II (HbA1c % ≥ 7.5) included 30 patients , 19 females (63.3%) and 11 males (36.7%), with a mean age of 13.51 ± 3.47yrs. Data collected included age, sex, disease duration, history of diabetic vascular complications, mean RBS, mean HbA1c %, AER, Fasting serum lipid profile, EPCs%, and Assessment of CIMT by carotid Doppler ultrasound.
Results: patients were shorter than controls (P=0.016), had significantly higher levels of cholesterol, triglycerides, LDL, CIMT and significantly lower levels of HDL and EPCs% (P< 0.05). CIMT correlated positively to mean RBS (P=0.00 & r=0.504), HbA1c% (P=0.00 & r = 0.475), cholesterol (P=0.005 & r=0.358), triglycerides (P=0.001 & r= 0.425) & LDL (P=0.006 & r=0.353) and correlated negativly to HDL (P=0.006 & r= - 0.351) & EPCs % (P=0.00 & r= - 0.694). While EPCs% is inversly correlated to cholesterol (P= 0.003 & r = - 0.479), mean RBS (P=0.00 & r= - 0.948), HbA1c % (P=0.00 & r= - 0.930), LDL (P=0.000 & r = - 0.838) and mean CIMT (P=0.000 & r= - 694). Multiple regression analysis revealed that EPCs % is the most independent predictor for mean CIMT.
Conclusion: We concluded that diabetic children have risk factors for atherosclerosis, EPCs % is a good predictor for macrovascular disease and we suggest it to be included in their follow up for early detection and prevention of these devastating complications.