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HLA prevalence in Iraqi patients with ischemic heart disease.
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Background: The etiology of ischemic heart disease (IHD) is believed to have an immunological component. Association with human leukocyte antigens (HLAs) has been previously reported, particularly with DR6.
Patients and methods: 75 cardiac patients were admitted to the coronary care unit, Baghdad Teaching Hospital over the period October 2008-May 2009 with the clinical diagnosis of acute
coronary syndrome and STEMI myocardial infarction their ages range was (25-82) years the number of male was (55) (73.3%) and female was (20) (26.7%). All cases have routine ECG, cardiac marker’s measurements, routine haematological, Biochemical test and 2mls of blood reserved for HLA study.
Results: It was found that HLA-DR1 (8%) (P 0.001) has significant risk factor in the development of ischemic heart disease while HLA B (62%) (P 0.0009) has a protection factor in ischemic heart disease.
Conclusions: Our result suggests that strong relation between the incidence of acute ischemic episode (acute coronary syndrome and STEMS myocardial infarction and HLA-DR1) which mean that there may be predisposing genetic factor for the development ischemic heart disease.

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Publication Date
Sun Oct 02 2016
Journal Name
Journal Of The Faculty Of Medicine Baghdad
Prevalence of Entamoeba Histolytica infection in patients with colitis (Ulcerative and Infective)
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Background: Ulcerative colitis (UC) is a chronic inflammatory disorder of the colon that often extends to involve the remainder of the large intestine in a continuous manner. Intestinal amoebiasis can present as a chronic, dysenteric syndrome of diarrhea, weight loss, and abdominal pain that can last for years and mimic ulcerative colitis.
Objective: Studying the prevalence of E..histolytica by using serological method ELISA for their detection, Investigate the possible role of E.histolytica as a cause of blood, diarrhea in non-ulcerative colitis group &Comparison between serological detection of E.histolytica and stool examination.
Patients and Methods: Retrospective and prospective study was conducted

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Publication Date
Thu Nov 09 2017
Journal Name
Ibn Al-haitham Journal For Pure And Applied Sciences
Platelet Activity And Some Immunological Findings In Atherosclerosis and Coronary Heart Disease
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The   platelet  activity  and  some  immunological  aspects  of

coronary heart disease CIID were investigated by employing platelet count and serum levels of IgG,IgM and lgA,C3 and C4.Three groups of  patients were investigated : patients with ischemic heart disease IHD,  patients  with      lliD+hypcrtension  and  patients  with IHD+unstable angina.The results revealed  that the mean of platelets (mm')  was  significantly  reduced   in  IHD+unstable  angina  group

2.72.L I.l2 compared with conrol b'TOUp 8.13±2.72.

With respect to the immunological study, the re;;ults revea

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Publication Date
Sun Dec 10 2023
Journal Name
Journal Of Applied Engineering And Technological Science (jaets)
The Role of Artificial Intelligence in Diagnosing Heart Disease in Humans: A Review
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The electrical activity of the heart and the electrocardiogram (ECG) signal are fundamentally related. In the study that has been published, the ECG signal has been examined and used for a number of applications. The monitoring of heart rate and the analysis of heart rhythm patterns, the detection and diagnosis of cardiac diseases, the identification of emotional states, and the use of biometric identification methods are a few examples of applications in the field. Several various phases may be involved in the analysis of electrocardiogram (ECG) data, depending on the type of study being done. Preprocessing, feature extraction, feature selection, feature modification, and classification are frequently included in these stages. Ever

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Publication Date
Thu Oct 07 2021
Journal Name
Romanian Neurosurgery
Indirect revascularization in an Iraqi child with Moyamoya Disease
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Background: Moyamoya disease (MMD) is a rare cerebrovascular disease characterized by bilateral stenosis starting at the supraclinoid internal carotid artery (ICA), with the development of a collateral network of vessels. It is an established cause of stroke in the pediatric age group. Despite its increasing prevalence in various parts of the world, it remains largely underrecognized in the Middle East, particularly in Iraq. This is the first case of MMD in an Iraqi patient undergoing surgery. Case description: A 12-year-old boy presents with a 3-months history of progressive behavioural changes. MRI revealed diffuse infarcts of different ages. MRA and CT angiography revealed extensive asymmetrical steno-occlusive changes of t

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Publication Date
Mon Sep 09 2024
Journal Name
Al-rafidain Journal Of Medical Sciences ( Issn 2789-3219 )
Association of hsCRP and Serum Kalirin Levels with the Development and Severity of Premature Coronary Artery Disease in Iraqi Patients
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Background: Coronary artery disease (CAD) is a major contributor to morbidity and mortality worldwide. Early-onset CAD, also known as PCAD, is a severe form of CAD associated with high mortality and a poor prognosis. Early diagnosis is crucial to reducing complications. While hsCRP is an established biomarker for CAD, kalirin is a potential novel biomarker due to its role in promoting smooth muscle proliferation and endothelial dysfunction. Objective: To evaluate the relationship between serum kalirin and hsCRP levels with the presence and severity of PCAD and to compare the diagnostic value of both biomarkers. Method: The study recruited 92 participants into two groups: the PCAD group (46) included patients with confirmed CAD by an

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Publication Date
Wed Sep 27 2023
Journal Name
Iraqi Journal Of Pharmaceutical Sciences ( P-issn 1683 - 3597 E-issn 2521 - 3512)
Genetic Polymorphism in TNF-α Promoter Region: Its Association with Severity and Susceptibility to Rheumatoid Arthritis in Iraqi Patients with Active Disease
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Objectives: To study the prevalence of rs1799964 (-1031 T/C) and rs361525 (- 238 G/A) SNPs and their effect on the disease activity, severity, and cytokines production in newly diagnosed Iraqi rheumatoid arthritis patients. Patients and Methods: sixty-three patients were diagnosed by a specialist physician while attending the rheumatology unit and twenty control participated. The inflammatory markers were measured and PCR amplification and sequencing were performed to demonstrate TNF-α SNPs. Results: Regarding (-1031 C/T) SNP, the TT genotype and allele C were significantly present in the controls, and the CT genotype was distributed significantly in the patients. The TT genotype was mostly distributed in the mild-moder

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Publication Date
Sun Dec 30 2012
Journal Name
Al-kindy College Medical Journal
Human Leukocyte Antigens Assosiation with Systemic Lupus Arythematosus In Iraqi Patients
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Background: The etiology of Systemic lupus erythematosus seems to be multifactorial including environmental as well as genetic factors. The genetic predisposition was supported by the occurrence of Systemic lupus erythematosus in more than one member of a family as well as in identical twins.
Aim of the study: To determine the human leukocyte antigen typing class I (A and B) in patients with Systemic Lupus Erythematousus disease.
Methods: Patients group consisted of 44 Iraqi Arab Muslims patients with Systemic lupus erythematosus disease who presented to Baghdad Medical City from January 2010 to January 2012 from Baghdad Province. The second control group consisted from 80 Iraqi Arab Muslims volunteers from hospital employees and t

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Publication Date
Fri Sep 30 2022
Journal Name
Iraqi Journal Of Science
Sequential feature selection for heart disease detection using random forest
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Heart disease identification is one of the most challenging task that requires highly experienced cardiologists. However, in developing nations such as Ethiopia, there are a few cardiologists and heart disease detection is more challenging. As an alternative solution to cardiologist, this study proposed a more effective model for heart disease detection by employing random forest and sequential feature selection (SFS). SFS is an effective approach to improve the performance of random forest model on heart disease detection. SFS removes unrelated features in heart disease dataset that tends to mislead random forest model on heart disease detection. Thus, removing inappropriate and duplicate features from the training set with sequential f

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Publication Date
Mon Jul 01 2013
Journal Name
Journal Of The Faculty Of Medicine Baghdad
Left Ventricle Remodeling for Patients with Heart Failure and its Influence on Cardiac Performance
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Background: Many cardiac diseases can cause cardiac hypertrophy developed by the established cardiac overload, such as long term of uncontrolled hypertension, valvuler disease or congenital anomaly and many more causes. If the cause of hypertrophy persists for long time it will generate heart failure, as a result changes in size, shape and function of the heart which refer as remodeling.
Objective: To investigate the types of remodeling in patients with heart failure, and study its relation with cardiac performance.
Patients and methods: The study included fifty normal individuals and fifty patients, only those patients who developed hypertrophy and failure were chosen. The study has included the measurements of many cardiac parame

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Publication Date
Thu Sep 30 2021
Journal Name
Iraqi Journal Of Science
Implementation of K-Nearest Neighbors Algorithm for Predicting Heart Disease Using Python Flask
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     Heart disease is a non-communicable disease and the number 1 cause of death in Indonesia. According to WHO predictions, heart disease will cause 11 million deaths in 2020. Bad lifestyle and unhealthy consumption patterns of modern society are the causes of this disease experienced by many people. Lack of knowledge about heart conditions and the potential dangers cause heart disease attacks before any preventive measures are taken. This study aims to produce a system for Predicting Heart Disease, which benefits to prevent and reduce the number of deaths caused by heart disease. The use of technology in the health sector has been widely practiced in various places and one of the advanced technologies is machine lea

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