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Evaluation of Brain Stem Function in Diabetics with and Without Distal Symmetrical Polyneuropathy Using the Blink Reflex
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 Background: Diabetic peripheral neuropathy (DPN) is the commonest complication of T2DM. Neuropathy is a descriptor for a spectrum of clinical and subclinical symptoms with varying anatomical distributions, clinical histories, and perhaps underlying pathogenetic mechanisms. The distal Symmetrical sensory polyneuropathy is chronic, symmetrical, length-dependent sensorimotor. Studies of the blink reflex have shown potential as a method of assessing brainstem activity.

Objective: The primary purpose of this research was to assess the function of the blink reflex in the early detection of cranial nerves and brain stem dysfunction in diabetes patients with and without polyneuropathy. We also aimed to see whether there were differences in blink reflex abnormalities between diabetes individuals with and without polyneuropathy.

Patients and Methods: The study included a group of sixty-60 diabetic patients. Clinician and electrophysiologist evaluations were used to determine the severity of neuropathy. Patients with diabetes were separated into two groups: those with and without neuropathy.

Results: A statistically significant difference between the two groups was for C.R.2 latency, and I.R.2 latency with a P-value <0.001. Except for blink reflex’s R1 latency (P-value >0.2), all other Blink reflex parameters were statistically different between patients who experience diabetic neuropathy and those who didn’t. Regarding HbA1c, a significant positive association with IR2 latency and C.R.2 latency was noted (Pvalue <0.001) and also, a statistically significant negative association was found with I.R.2 duration and C.R.2 duration (P-value <0.001). Amplitudes of sural, tibial and peroneal nerves were negatively associated with Blink reflex Latencies and positively associated with blink reflex duration.

Conclusion: In conclusion, blink-reflex parameters (including ipsi-lateral R.2 latency, contra-lateral R.2 latency) are significantly associated with HBA1C level and degree of peripheral diabetic neuropathy.

Received Sept. 2022

Accepted Nov. 2023

Published Jan. 2024

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Publication Date
Fri Jan 01 2021
Journal Name
Journal Of Economics And Administrative Sciences
Evaluation suppliers according to the integration of the Quality Function Deployment and the Fuzzy Analytic Hierarchy Process
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The process of evaluating business processes, complex, repetition of procurement processes, need for raw materials and frequency of demand, which makes dealing with suppliers in the evaluation process, making the need for a process intervention in the process. Lighter on the other hand.

Many Iraqi companies suffer from problems related to suppliers, and cases of administrative and financial corruption are often raised regarding this type of contract and from this reality the necessity of researching this problem and trying to develop some solutions to reduce its impact on the companies' work, by using a method that works according to the standards adopted in Evaluation and selection of the supplier in the

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Publication Date
Wed Jul 01 2015
Journal Name
Journal Of The Faculty Of Medicine Baghdad
Evaluation of the proliferation marker Ki67 as a prognostic factor in patients with breast carcinoma
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Background: Breast cancer is the most frequent cancer in women worldwide and in Iraq. Proliferation rates of neoplastic process can be useful in predicting prognosis, aggressiveness of cancers and to guide treatment protocols in clinical practice.
Objectives: To evaluate the role of Ki67 as a proliferative marker through analysing the associations between Ki67 with the clinic-pathological parameters, hormone receptors and Her2/neu expression.
Patients and methods: Forty paraffin blocks belonging to patient with breast carcinoma and ten blocks with benign diseases were included in this retrospective cross-sectional study and used for the immunohistochemical assessment of hormone receptors, Her2/neu and Ki67.
Results: Mean age of

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Publication Date
Sun Apr 01 2012
Journal Name
Journal Of The Faculty Of Medicine Baghdad
Evaluation of signs of immune or metabolic disturbances among diabetic patients with positive islet cell antibodies
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Background: Autoantibodies to islet cell antigens are known predictors of type 1 diabetes and detected in latent autoimmune diabetes in adults.
Objectives: This study aimed to identify the metabolic and immunological disturbances in diabetic patients with positive and negative islet cell antibodies (ICAs)
Materials and methods: A total number of 235 known cases of diabetes mellitus type 1 (160) and type 2 diabetes (75) were admitted in the study. Serum ICA and immunoglobulins (IgA, IgM, IgG) as well lipid profile were measured.
Results: Positive ICAs was found in 40 out of 120 T1D (33.3%) and 28 out of 75 T2D (37.3%). All the patients were poorly controlled diabetes with the evidence of significant high

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Publication Date
Thu Dec 13 2018
Journal Name
Iraqi National Journal Of Nursing Specialties
Immunoglobulins Levels and Complements in Patients with Brain Tumour (Meningioma and Glioma)
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Objective(s): The present study aims at studying the relationship between immunoglobulin IgG, IgA,
IgM , as well as to C-3 and C-4 in brain tumours patients immunity (meningioms and gliomas).
Methodology: Forty sera of brain tumour patients were included 20 glioma and 20 meningioma was
tested to determine the levels of IgM, IgG IgA, C-3 and C-4 by using single radial immune-diffusion
technique and compared with 20 apparently healthy blood donors.
Results: The study revealed a significant decreasing in IgG levels in glioma as compare to meningioma
and control. The concentration of two other serum immunoglobulins and complement in both
meningioma and glioma show no significant differences with those in control group.

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Publication Date
Mon Jul 01 2013
Journal Name
Journal Of The Faculty Of Medicine Baghdad
Homestasis Model Assessment–Adiponectin ratio and Adiponectin –Resistin index as markers of insulin resistance in type 2diabetes mellitus
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Background: Insulin resistance (IR) is an important clinical and biochemical determinant of diabetes and many other clinical states. The gold standard method for IR estimation is the hyperinsulinemic euglycaemic glucose clamp. Adiponectin and resistin are adipocytes derived hormones that play important role in the regulation of glucose, fat metabolism and insulin resistance.
Objective: this study aimed to assess the validity of Homestasis Model Assessment–Adiponectin ratio and Adiponectin –Resistin index as markers of insulin resistance in type 2 diabetic mellitus (T2DM) patients.
Design: Ninety (T2DM) overweight male subjects were enrolled in this cross sectional study, detailed history, physical examination and anthropometric

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Publication Date
Sun Jan 03 2016
Journal Name
Journal Of The Faculty Of Medicine Baghdad
Evaluation of Serum Apelin in Acute Coronary Syndrome Patients
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Background: Acute coronary syndrome refers to any group of clinical symptoms compatible with acute myocardial ischemia including unstable angina (UA), Non-ST-segment elevation myocardial infarction (NSTEMI) & ST-segment elevation myocardial infarction (STEMI).
Apelin is a novel endogenous peptide with inotropic and vasodilatory properties, it was recently reported that serum measurements of apelin were similar to its immunohistochemical data in vessels and heart tissues.
Objectives: This study aims to evaluate serum levels of apelin in patients with Acute Coronary Syndrome related to severity of presentation.
Patients and Methods: The present study was conducted during the period from September 2014 until March 2015. Fifty-n

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Publication Date
Mon Jan 02 2017
Journal Name
Journal Of Educational And Psychological Researches
The Mathematical construct and its relationship with effective mathematical operations in both sides of the brain among students of the Department of Mathematics at the Colleges of Education and Basic Education
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The current research aims to identify: 1. The level of mathematical construct among the Department of Mathematics students in the colleges of education and basic education. 2. The level of effective mathematical operations in both sides of the brain at the Department of Mathematics students in the colleges of education and basic education. 3. The strength and direction of the correlation between the mathematical construct and effective mathematical operations on both sides of the brain at the Department of Mathematics students in the colleges of Education and Basic Education. To investigate the research objectives, the researcher formulated zero-main hypothesis for each aim and from the same hypothesis, three sub-zero hypotheses are deri

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Publication Date
Thu Jun 30 2022
Journal Name
Journal Of Economics And Administrative Sciences
Estimation of Time of Survival Rate by Using Clayton Function for the Exponential Distribution with Practical Application
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Each phenomenon contains several variables. Studying these variables, we find mathematical formula to get the joint distribution and the copula that are a useful and good tool to find the amount of correlation, where the survival function was used to measure the relationship of age with the level of cretonne in the remaining blood of the person. The Spss program was also used to extract the influencing variables from a group of variables using factor analysis and then using the Clayton copula function that is used to find the shared binary distributions using multivariate distributions, where the bivariate distribution was calculated, and then the survival function value was calculated for a sample size (50) drawn from Yarmouk Ho

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Publication Date
Mon Dec 20 2021
Journal Name
Baghdad Science Journal
Recurrent Stroke Prediction using Machine Learning Algorithms with Clinical Public Datasets: An Empirical Performance Evaluation
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Recurrent strokes can be devastating, often resulting in severe disability or death. However, nearly 90% of the causes of recurrent stroke are modifiable, which means recurrent strokes can be averted by controlling risk factors, which are mainly behavioral and metabolic in nature. Thus, it shows that from the previous works that recurrent stroke prediction model could help in minimizing the possibility of getting recurrent stroke. Previous works have shown promising results in predicting first-time stroke cases with machine learning approaches. However, there are limited works on recurrent stroke prediction using machine learning methods. Hence, this work is proposed to perform an empirical analysis and to investigate machine learning al

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Publication Date
Tue Apr 01 2014
Journal Name
Journal Of The Faculty Of Medicine Baghdad
Echocardiographic Assessment of Left Ventricular Function in Overweight and Obese Subjects
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Background: Obesity is a public health concern worldwide associated with significant health risks and comorbid conditions. Obesity might be a strong factor that can induce left ventricular systolic dysfunction and eventually cause heart failure independent to coronary artery disease or other morbidities. In uncomplicated obese subjects, diastolic dysfunction is caused by hemodynamic and metabolic factors.
Objectives: To assess the left ventricular (systolic and diastolic) function in a sample of overweight and obese subjects using different Echocardiographic tools and exploring the percentage and type of diastolic dysfunction in those people.
Subjects and methods: one hundred seven (107) normal adult males subjects with a mean age

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