Background: Patients with type 2 diabetes have an increased prevalence of lipid abnormalities, contributing to their high risk of cardiovascular diseases (CVD).Glycated hemoglobin (HbA1c) is a routinely used marker for long-term glycemic control. In accordance with its function as an indicator for the mean blood glucose level, HbA1c predicts the risk for the development of diabetic complications in diabetic patients[2].Apart from classical risk factors like dyslipidemia, HbA1c has now been regarded as an independent risk factor for (CVD) in subjects with or without diabetes.Objective The aim of this study was to find out association between glycaemic control (HbA1c as a marker) and serum lipid profile in type 2 diabetic patients.Methods This study was conducted in specialized center for Endocrinology and Diabetes (SCED) on 320 type 2 diabetic patient , from May 2009 TO November 2010The variables such as age, sex, family history, physical examination, fasting blood glucose, renal function test, thyroid function test, lipids profile panel test , HbA1c and body mass index (BMI) were analyzed .Dyslipidemia was defined according to the National Cholesterol Education Programme (NCEP) Adult Treatment Panel (ATP) III guidelines. Diabetes was defined according to American diabetes association criteriaWe excluded from this study other causes of dyslipidemia other than DM like uremia,over weight, hypothyroidism and others causes.We selected diabetic patient with ldeal body weight and normal renal function.Results In our study 114 (81%) females out of 132 and 147 (83%) males out of 178 were found tobe dyslipidemic.HbA1c demonstrated positive and significant correlations with total cholesterol(TC), low density lipoprotein cholesterol (LDL-C), high density lipoproteincholesterol (HDL-C) and LDL-C ratio, non-HDL-C and TC/HDL-C ratio.Patients with HbA1c value > 7.0% had significantly higher value of TC,Triglycerid (TG), LDL-C, LDL-C/HDL-C ratio, non-HDL-C and TC/HDL-C ratio ascompared to the patients with HbA1c ≤ 7.0%. However, there was no significantdifference in value of HDL-C between two groups.Conclusion :HbA1c can be used as a potential biomarker for predicting dyslipidemia in type 2diabetic patients in addition to glycemic control.
The temperature influence on the fluorescence lifetime, quantum yields and non-radiative rate parameter or coumarin 460 dye dissolved in methanol was investigated in the temperature range (160-300 k). A single photon counting technique was used or measuring the fluorescence decay curves. A noticeable decrease of the fluorescence lifetime with increasing the temperature was observed. The non-radiative activation energy of 10.57 K.J. mole-1 was measured by the help of Arrhenius plot.
To evaluate the effectiveness of different microwave irradiation exposure times on the disinfection of dental stone samples immersed in different solutions, and its affect on the dimensional accuracy and surface porosity. Dental stone casts were inoculated with an isolate of Bacillus subtilis to examine the efficiency of microwave irradiation as a disinfection method while immersed in different solutions; water, 40% sodium chloride, or without immersion for different durations. Dimensional accuracy and surface porosity were also evaluated. Significant reduction in colony counts of Bacillus subtilis were observed after 5 minutes of microwave irradiation of immersed dental casts in water and NaCl solution. No evidence of growth was observed a
... Show MoreIn recent years, there has been expanding development in the vehicular part and the number of vehicles moving on the roads in all the sections of the country. Arabic vehicle number plate identification based on image processing is a dynamic area of this work; this technique is used for security purposes such as tracking of stolen cars and access control to restricted areas. The License Plate Recognition System (LPRS) exploits a digital camera to capture vehicle plate numbers is used as input to the proposed recognition system. Basically, the proposed system consists of three phases, vehicle license plate localization, character segmentation, and character recognition, the
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