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Assessment of lipid profile with HbA1c in type 2 diabetic Iraqi patients
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Insulin-induced hyperglycemia is the hallmark of diabetes mellitus (DM), including various metabolic disorders. Diabetic people are more likely to develop dyslipidemia, hypertension, and obesity. Type 2 diabetes ‎(T2DM), the most common illness, is generally asymptomatic in its early stages and can go misdiagnosed for years. Diabetes screening may be beneficial in some cases since early identification and treatment can lessen the burden of diabetes and its consequences.‎ This study aimed to find the relationship between Glycated hemoglobin (HbA1c) ‎and lipid profile components in T2DM‎ patients. This descriptive-analytical and cross-sectional study was performed on the control group and T2DM patients in ‎Medical City in Baghdad between March and June 2021‎. A total of 90 patients with T2DM and ‎‎45 healthy control were included in this study. In the control group, healthy volunteer individuals participated. For all subjects, HbA1c, fasting blood sugar/FBS, and lipid profile (Total Cholesterol/TC, Triglyceride/TG, High-density Lipoprotein/HDL, Low-density Lipoprotein/LDL, and Very Low-density Lipoprotein/VLDL) were assessed. Among T2DM patients 62.22% (n= 56) were male and 37.78% (n= ‎‎34) were female. Mean ± SD levels of HbA1c, TC, TG, LDL, VLDL, HDL, and FBS were 7.33±0.56 ‎‎% (168.21±9.23, 146.10±9.64, 137.23±8.32, 41.05±5.86, 43.85±6.17, and ‎‎208.81±52.1) mg/dl respectively in the T2DM group. In the control group, ‎the Mean ± SD results of the same parameters were 4.91±0.27%, ‎‎(171.20±3.57, 116.60±8.25, 105.05±2.11, 41.83±4.92, 44.04±5.54, ‎‎96.20±7.8) mg/dl respectively. Results demonstrated statistically significant ‎‎differences between T2DM patients and control groups in HbA1c ‎‎(p equal to 0.0025), TG ‎(p equal to 0.015), LDL ‎ ‎(p=0.0029),‎ and FBS ‎(p=0.02‎). Pearson correlation analysis of HbA1c with other variables showed a significant ‎positive correlation with serum TC, TG, LDL, and ‎FBS ‎(r=0.573, P<0.01; ‎r=0.655, P <0.001; r=0.498, P<0.05‎; r=0.691, ‎P<‎0.001‎; ‎‏respectively). While the data showed a negative connection between HbA1c and HDL (r= - 0.562, P<0.01) The findings of this study reveal that diabetic people do not have a satisfactory HbA1c level. Furthermore, HbA1c shows a significant correlation with TC, TG, LDL, and VLDL, whereas it has a significant negative correlation with HDL. The study showed that HbA1c might be useful for predicting dyslipidemia in T2DM patients. Keywords: T2DM, Lipid profile, HbA1c.

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Publication Date
Sun Oct 01 2023
Journal Name
Medical Journal Of Babylon
Prevalence of coronary artery disease in patients with left bundle branch block and its association with risk factors hypertension and diabetes mellitus
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Abstract<sec> <title>Background:

Left bundle branch block (LBBB) is a common finding in electrocardiography, there are many causes of LBBB.

Objectives:

The aim of this study is to discuss the true prevalence of coronary artery disease (CAD) in patients with LBBB and associated risk factors in the form of hypertension and diabetes mellitus.

Materials and Methods:

Patients with LBBB were admitted to the Iraqi heart center for cardiac disea

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Publication Date
Sat Jun 19 2021
Journal Name
Iraqi Journal Of Pharmaceutical Sciences ( P-issn 1683 - 3597 E-issn 2521 - 3512)
The Role of Ginkgo biloba Extract as Monotherapy in Improving the Outcomes of Patients with Metabolic Syndrome: A Pilot Comparative Study with Metformin
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The present study evaluates the effects of Ginkgo biloba extract as monotherapy on the glycemic status, insulin resistance (IR), body mass index (BMI), and visceral adiposity index (VAI), in addition to the inflammatory markers, oxidative status and leptin level in patients with metabolic syndrome in comparison with metformin.

The study is a randomized, double-blind pilot study conducted during the period May to September, 2020. Fifty patients were recruited in the study and they were allocated into two groups (25 per each group): Ginkgo biloba and Metformin groups, they received (120 mg Ginkgo biloba extract/ capsule) and (500 mg Metformin/ capsule) respectively; orally as a single dose for 90 days. Blood samples were taken at z

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Publication Date
Tue Mar 01 2022
Journal Name
Iraqi Journal Of Physics
The Confinement Profile Effect on the Optical Properties in Different Inverse-shaped Single InGaN/GaN Quantum Wells
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In this work, the effects of size, and temperature on the linear and nonlinear optical properties in InGaN/GaN inverse parabolic and triangular quantum wells (IPQW and ITQW) for different concentrations at the well center were theoretically investigated. The indium concentrations at the barriers were fixed to be always xmax = 0.2. The energy levels and their associated wave functions are computed within the effective mass approximation. The expressions of optical properties are obtained analytically by using the compact density-matrix approach. The linear, nonlinear, and total absorption coefficients depending on the In concentrations at the well center are investigated as a function of the incident photon energy for different

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Publication Date
Sun Apr 30 2023
Journal Name
Al-kindy College Medical Journal
Serum Myelin Oligodendrocyte Glycoprotein and Myelin Protein Zero as Diagnostic Biomarkers in Diabetic Neuropathy
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Background: Diabetic neuropathy can affect any peripheral nerve, including sensory neurons, motor neurons, and the autonomic nervous system. Therefore, diabetic neuropathy has the potential to affect essentially any organ and can affect parts of the nervous system like the optic nerve, spinal cord, and brain. In addition, chronic hyperglycemia affects Schwann cells, and more severe patterns of diabetic neuropathy in humans involve demyelization. Schwann cell destruction might cause a number of changes in the axon. study aims to evaluate serum myelin protein level as a predicting marker in the diagnosis of diabetic neuropathy and to prevent early neuropathy complications of type 2 diabetes.

Sub

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Publication Date
Sat Jan 01 2022
Journal Name
Journal Of Engineering
Voltage Profile Enhancing Using HVDC for 132KV Power System: Kurdistan Case Study
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Nowadays power systems are huge networks that consist of electrical energy sources, static and lumped load components, connected over long distances by A.C. transmission lines. Voltage improvement is an important aspect of the power system. If the issue is not dealt with properly, may lead to voltage collapse.  In this paper, HVDC links/bipolar connections were inserted in a power system in order to improve the voltage profile. The load flow was simulated by Electrical Transient Analyzer Program (ETAP.16) program in which Newton- Raphson method is used. The load flow simulation studies show a significant enhancement of the power system performance after applying HVDC links on Kurdistan power systems. Th

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Publication Date
Tue Feb 12 2019
Journal Name
International Journal Of Biosciences
Biomechanical and histological assessment of titanium dental implants coated with strontium substituted hydroxyapatite and fluorapatite mixture
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Dental implants are considered a unique treatment alternative for the replacement of missing dentition. There is a strive for materials which increase bone formation in bone implant interface and improve osseointegration to offer immediate loading directly after placement with decreased time. The aim of the study was to assess the effect of nano strontium substituted hydroxyapatite and nano fluorapatite mixture coating of screw shaped commercially pure titanium at the bone implant interface by torque removal test and histological assessment in rabbit tibia. Commercially pure titanium was used to prepare 80 screws that were divided into machined surfaces (CpTi), coated with (SrHA), coated with (FA) and coated with mixture 50%SrHA + 50%FA (mi

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Publication Date
Mon Dec 05 2016
Journal Name
Iraqi
Synthesis, spectroscopic and Antibacterial activity study of N-]2(2-phenyl hydrazinyl) phenyl benzothiazol-2-amine complexes.
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Publication Date
Sun Jun 30 2024
Journal Name
Iraqi Journal Of Science
Study the Effects of Annona sp. Extract on Some Physiological Parameters and Fertility in Diabetic Mice
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     The current study was conducted to investigate Annona fruit pulp effects on the levels of various physiological biomarkers linked with insulin-dependent diabetes mellitus after disease induction in mice, as well as indications of oxidative stress and male hormones. The rats were separated into four groups, three of which were given Alloxan (90 mg/kg body weight) to induce diabetes, while the fourth served as a negative control. The first group of diabetic mice received no therapy, the second received metformin (600 mg/kg body weight) and the third received Annona fruit puree. The mice were sacrificed at the end of the experiment, to acquire blood and tissue samples from the liver, kidneys and spleen. The first untreated gro

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Publication Date
Wed Sep 30 2015
Journal Name
Journal Of Natural Sciences Research
Study the levels of GPCR, GLP-1 and related hormones controlled and uncontrolled in diabetic patient's.
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The aim of the present study is to evaluate the change in the levels of glucagon, GLP-1 and GPCR in diabetic patient's and diabetic with dyslipidemia as metabolic syndrome. The study included 75 male aged ranged (30-50) years and with BMI (25-29) kg/m2 which divided into three groups as follows: group one (G1): consist of 25 subjects as healthy control group. Group two (G2): consist of 25 patient's with diabetes mellitus and group three (G3): consist of 25 patient's with diabetic and dyslipidemia as metabolic syndrome. Serum was used in determination of FBG, lipid profile, insulin, glucagon, GLP-1 and GPCR. Whole blood was determination of HbA1c. The results revealed significant elevation in FBG and HbA1c in G2 and G3 comparing to G1. While

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Publication Date
Tue Dec 01 2020
Journal Name
Baghdad Science Journal
A Modified Support Vector Machine Classifiers Using Stochastic Gradient Descent with Application to Leukemia Cancer Type Dataset
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Support vector machines (SVMs) are supervised learning models that analyze data for classification or regression. For classification, SVM is widely used by selecting an optimal hyperplane that separates two classes. SVM has very good accuracy and extremally robust comparing with some other classification methods such as logistics linear regression, random forest, k-nearest neighbor and naïve model. However, working with large datasets can cause many problems such as time-consuming and inefficient results. In this paper, the SVM has been modified by using a stochastic Gradient descent process. The modified method, stochastic gradient descent SVM (SGD-SVM), checked by using two simulation datasets. Since the classification of different ca

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