Heart failure (HF) is characterized by family history and clinical examination combined with diagnostic tools such as electrocardiogram, chest x-ray and an assessment of left ventricular function by echocardiography. An early diagnosis of heart failure is still based on symptoms of dyspnea, fatigue and signs of fluid overload. Serum N-terminal pro-B-type natriuretic peptide (NT-pro BNP) is cardiac biomarker has emerged as potential predictor of heart failure. It is used as a sensitive biomarker in diagnosis and assessment severity of heart failure. This study assed the diagnostic value of (NT-pro BNP), in Iraqi children patients with heart failure and its correlation with LVEF% especially in emergency rooms of hospitals.Ninety (90) consecutive children with HF were enrolled in this study due to dilated cardiomyopathy (DCM) and (30) healthy controls. The levels of serum (NT-pro BNP) were measured, echocardiography was performed for all patients and left ventricle ejection fraction (LVEF) was calculated. The results of present study significant high mean value (± SD) of (NT-pro BNP) were recorded in serum of children with HF when compared with control group (p = 0.0001) and significant negative correlation was noticed between (NT pro-BNP) levels and left ventricular ejection fraction (r = -0.902, p = 0.0001). NT- pro-BNP appears to play a powerful role as a diagnostic and prognostic biomarker for children with heart failure and associated directly with the severity of HF in children with heart failure due to dilated cardiomyopathy (DCM
The business environment is witnessing great and rapid developments due to the economic and technological development that has caused damage to human beings, which requires the need to reduce this damage and work to protect the environment and participate in supporting the social aspects. This requires economic resources to be realized by the economic units. Economic development in preserving the environment that has caused damage and supporting the social aspects that preserve human rights, enhance their position and satisfy their needs in society. Global professional organizations, the United Nations and stakeholder representatives have been issuing the Global Reporting Initiative (GRI) to find guidelines for the preparation of
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Background: Prostatic adenocarcinoma is the most widely recognized malignancy in men and the second cause of cancer-related mortality encountered in male patients after lung cancer.
Aim of the study: To assess the diagnostic value of diffusion weighted imaging (DWI) and its quantitative measurement, apparent diffusion coefficient (ADC), in the identification and localization of prostatic cancer compared with T2 weighted image sequence (T2WI).
Type of the study: a prospective analytic study
Patients and methods: forty-one male patients with suspected prostatic cancer were examined by pelvic MRI at the MRI department of the Oncology Teaching Hospital/Medical City in Baghdad
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Background: we know that TNF-a which is consider an important inflammatory cytokine mediate the inflammatory reactions which occur in the tissues against the infections agents and other causes of inflammation therefore, here we try to study the role of TNF-a in chronic Rheumatic heart disease and the relationship of TNF-a with extent of histopathological.
Background: Patients with chronic renal failure undergoing longterm hemodialysis (HD) are prone to atherosclerosis and at increased risk of developing cardiovascular diseases.
Objective: The objective of this study is to compare atherogenic index of plasma (AIP) in predicting the risk of cardiovascular disease (CVD) in patients with chronic renal failure (CRF) on regular hemodialysis, when associated with other chronic diseases.
Patients and methods: A total of forty male patients with CRF on hemodialysis, matched in, age, body mass index BMI, and duration of hemodialysis were enrolled. They were grouped as group 1 (G1) includes eleven subjects with CRF without (hypertension and / or diabetes) groups 2 (G2) fourteen CRF subjects wi
Background: Human parvovirus B19 (B19V) is the only human pathogenic parvovirus, It is highly erythrotropic and preferentially replicates in erythroid progenitor cells (EPCs). Recently the effects of B19 infection have been well studied in children with acute lymphoblastic leukemia (ALL).
Objective: To detect parvovirus B19 among children with ALL.
Methods: A cross sectional study involved forty five patients with ALL (21 patients were newly diagnosed ALL and 24 children who underwent chemotherapy) who were attending department of oncology in Children's Welfare Teaching Hospital in Baghdad Medical City between December 2012 and April 2013, compared to forty five of appare
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A security system can be defined as a method of providing a form of protection to any type of data. A sequential process must be performed in most of the security systems in order to achieve good protection. Authentication can be defined as a part of such sequential processes, which is utilized in order to verify the user permission to entree and utilize the system. There are several kinds of methods utilized, including knowledge, and biometric features. The electroencephalograph (EEG) signal is one of the most widely signal used in the bioinformatics field. EEG has five major wave patterns, which are Delta, Theta, Alpha, Beta and Gamma. Every wave has five features which are amplitude, wavelength, period, speed and frequency. The linear
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Alzheimer’s Disease (AD) is the most prevailing type of dementia. The prevalence of AD is estimated to be around 5% after 65 years old and is staggering 30% for more than 85 years old in developed countries. AD destroys brain cells causing people to lose their memory, mental functions and ability to continue daily activities. The findings of this study are likely to aid specialists in their decision-making process by using patients’ Magnetic Resonance Imaging (MRI) to distinguish patients with AD from Normal Control (NC). Performance evolution was applied to 346 Magnetic Resonance images from the Alzheimer's Neuroimaging Initiative (ADNI) collection. The Deep Belief Network (DBN) classifier was used to fulfill classification f
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