Background: Inflammation and more specifically inflammatory cytokines are determinant in the development of microvascular diabetic complications, including neuropathy, retinopathy and nephropathy.
Objective: The aim of present study is to evaluate the relationships between high sensitive C-reactive protein, microalbuminuria and risk factors for cardiovascular disease.
Subjects and methods: the study involved (30) patients with type 1 diabetic mellitus compared to (30) healthy control. A fasting blood sample was drawn from all subjects after an overnight fasting to measure the biochemical parameters which including glycated hemoglobin, lipid profile, atherogenic index of plasma and high sensitive C-reactive protein concentration in blood of all subjects, also evaluating microalbuminuria, creatinine, urea level in urine of type 1 diabetic mellitus patients and healthy control.
Results: results revealed a significant increase in the level of glycated hemoglobin, total cholesterol, triglyceride, low density lipoprotein, high sensitive C-reactive protein, microalbuminuria, urea and atherogenic index of plasma. While a significant decrease in high density lipoprotein level in patients group compared with control group. Also, there were a highly significant positive correlation between high sensitive C-reactive protein and glycated hemoglobin, atherogenic index of plasma and microalbuminuria.
Conclusions: the results of this study suggests that high sensitive C-reactive protein can be use with microalbuminuria as a biochemical marker to predict the early stage of cardiovascular disease in children and adolescents with type 1 diabetic mellitus.
The comparison of double informative priors which are assumed for the reliability function of Pareto type I distribution. To estimate the reliability function of Pareto type I distribution by using Bayes estimation, will be used two different kind of information in the Bayes estimation; two different priors have been selected for the parameter of Pareto type I distribution . Assuming distribution of three double prior’s chi- gamma squared distribution, gamma - erlang distribution, and erlang- exponential distribution as double priors. The results of the derivaties of these estimators under the squared error loss function with two different double priors. Using the simulation technique, to compare the performance for
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