ABSTRACT: BACKGROUND: Left ventricular hypertrophy is a significant risk factor for cardiovascular complications such as ischemic heart disease, heart failure, sudden death, atrial fibrillation, and stroke. A proper non-expensive tool is required for detection of this pathology. Different electrocardiographic (ECG) criteria were investigated; however, the results were conflicting regarding the accuracy of these criteria. OBJECTIVE: To assess the accuracy of three electrocardiographic criteria in diagnosis of left ventricular hypertrophy in adult patients with hypertension using echocardiography as a reference test. PATIENTS AND METHODS: This is a hospital-based cross sectional observational study which included 340 adult patients with a history of hypertension (240 patients with left ventricular hypertrophy and 100 patients without depending on Echocardiographic results). Three electrocardiographic criteria including Sokolow Lyon Voltage, Cornell voltage, and Cornell voltage duration were evaluated for their sensitivity and specificity in detection of left ventricular hypertrophy in those patients. RESULTS: Each of older ages (over 50 years) (OR= (OR=6.25, 95%CI=3.75-10.39, p<0.001), male gender (OR=0.58, 95% CI= 0.36-0.93, p= 0.018) and type 2 diabetes mellitus (OR=8.14, 95%CI= 4.04-16.41, p<0.001) were significantly associated with development of left ventricular hypertrophy in patients with hypertension. The sensitivity and specificity of Sokolow Lyon Voltage, Cornell voltage, and Cornell voltage duration were 17.5% and 96%; 13.33% and 97%; and 10% and 98%, respectively. CONCLUSION: Older ages, male gender, and type 2 diabetes mellitus can increase the risk of left ventricular hypertrophy in hypertensive patients. All the studied criteria have low sensitivity and high specificity in recognition of the left ventricular hypertrophy in patients with hypertension, with no advantage of definite criterion over the others.
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This research aimed to definite Blending learning (BL) technique, and to know the impact of its use onacademic achievement in Biology course of second class students in secondary special schools in Omdurman Locality and attitudes towards it, to achieve this; researcher adopted the experimental method. The sample was selected of (41) students, chosen from Atabiyah school, were divided into two equals groups: one experimental group reached (26) students studied by using the BL technique, and the second control group (25) students have been taught in the traditional method.
Data has collected by using two tools: achievement test and a questionnaire for measuring the attitudes towards Blend
... Show MoreThis study was conducted in the plant protection department/ College of Agriculture/ University of Baghdad to evaluate the efficiency of physical agents ozone, ultraviolet radiation, microwave for destroying afla produced in corn seeds. An isolate af A.flavus producing Aflatoxin B1 was obtained from plant protection dept. college of Agric. University of Baghdad. Results showed destroy toxin AFLA B1 the effect of radiation microwave in the media of Japex degree 80 and 100 co 57.14% and 85.71%, respectively, and for 20 sec, compared to the treatment comparison 0.00% as found significant differences were apparent between transactions and the treatment of comparison, as and notes the existence of a significant dif
... Show MoreThe aim of this study is to assess the influence of some risks factors on the fistula development after palatoplasty to improve the outcome of the patients
A total of 48 patients (the males were 22, The females were 26) were included in this study. All the patients were examined weekly for the first month postoperatively to assess any breakdown in the wound by inspection and by asking the parents for any nasal regurgitation during fluids feeding.
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With the growth of mobile phones, short message service (SMS) became an essential text communication service. However, the low cost and ease use of SMS led to an increase in SMS Spam. In this paper, the characteristics of SMS spam has studied and a set of features has introduced to get rid of SMS spam. In addition, the problem of SMS spam detection was addressed as a clustering analysis that requires a metaheuristic algorithm to find the clustering structures. Three differential evolution variants viz DE/rand/1, jDE/rand/1, jDE/best/1, are adopted for solving the SMS spam problem. Experimental results illustrate that the jDE/best/1 produces best results over other variants in terms of accuracy, false-positive rate and false-negative
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