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Urokinase-type plasminogen activator receptor as a predictive marker for cardiac disease among type 2 diabetic patients
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Abstract<sec> <title>Background:

Type 2 diabetes mellitus is a progressive and chronic disease manifested by β-cell dysfunction and improved insulin resistance. Higher levels of urokinase-type plasminogen activator receptors have been found to predict morbidity and mortality among diabetic patients with cardiac disease.

Objective:

This study aims to explore the role of serum urokinase-type plasminogen activator receptor levels as a prognostic marker among type 2 diabetic Iraqi patients.

Materials and Methods:

A total of 70 type 2 diabetic patients (40 male and 30 female) (mean age: 46.20 ± 7.56 years) participated in this study; 35 patients were with cardiovascular disease and 35 were without cardiovascular disease; their ages range were 40–55 years. They were collected from Baghdad Teaching Hospital/Medical City, Baghdad, Iraq through the period from October 2022 to February 2023. Moreover, 30 individuals who were apparent healthy were selected as control group.

Results:

There was significant increase in blood glucose, lipid levels with their ratios, and C-reactive protein in diabetic patients as compared to the control. Also, the present results reveal high levels of urokinase-type plasminogen activator receptor (2500.72 ± 12.36 vs. 2255.32 ± 10.15) ρg/mL with OR = 1.80, 95% CI: 1.2, and P = 0.0001 in type 2 diabetic patients with and without cardiovascular disease, respectively, as compared to healthy control (229.00 ± 14.48) ρg/mL. Moreover, this study reveals that female patients had higher levels of serum urokinase-type plasminogen activator receptor as compared to the male patients.

Conclusion:

It demonstrated that urokinase-type plasminogen activator receptor levels reliably predict morbidity among type 2 diabetic patients presenting with symptoms suggestive of cardiovascular disease.

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Publication Date
Tue Jun 01 2010
Journal Name
Journal Of Economics And Administrative Sciences
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Maximum likelihood estimation method, uniformly minimum variance unbiased estimation method and minimum mean square error estimation, as classical estimation procedures, are frequently used for parameter estimation in statistics, which assuming the parameter is constant , while Bayes method assuming the parameter is random variable and hence the Bayes estimator is an estimator which minimize the Bayes risk for each value the random observable and for square error lose function the Bayes estimator is the posterior mean. It is well known that the Bayesian estimation is hardly used as a parameter estimation technique due to some difficulties to finding a prior distribution.

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Sat Dec 30 2023
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Full synchronization of 2$\times$ 2 optocouplers network using LEDs
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The synchronization of a complex network with optoelectronic feedback has been introduced theoretically, with use of 2×2 oscillators network; each oscillator considered is an optocoupler (LED coupled with photo-detector). Fixing the bias current (δ) and increasing the feedback strength (Ԑ) of each oscillator, the dynamical sequence like chaotic and periodic mixed mode oscillations has been observed. Synchronization of unidirectionally coupled of light emitting diodes network has been featured when coupling strength equal to 1.7×10-4. The transition between non-synchronization and synchronization states by means of the spatio-temporal distribution has been investigated.

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Publication Date
Sat Sep 01 2012
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Electrochemical interferences of Mn<sup>2+</sup> with Hg<sup>2+</sup>, Cd<sup>2+</sup> and Cu<sup>2+</sup> at different modified GCE
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