Background: since December 2019, China and in particularly Wuhan, faced an unprecedented an outbreak challenge of coronavirus disease 2019, caused by the severe acute respiratory syndrome coronavirus 2. Clinical characteristics of Iraqi patients with COVID-19 and risk factors for mortality needed to be shared with the health care providers to improve the overall disease experience. Methods: prospective, single-center study recruited patients with confirmed SARS-CoV-2 infection who were admitted to Al-Shifaa Isolation Center / Baghdad Medical City between the mid of March and the end of April 2020 until had been discharged or had died. Demographic data, information on clinical signs, symptoms, at presentation, treatment, have been collected from patient records and a research questioner. Result: a total of 60 patients with confirmed COVID-19 infection have been included (mean age, 47 years [range, 12-80 years]; 72% male. Comorbidities were identified in 32 cases (53 %) including respiratory disease, cardiovascular disease, hypertension, and diabetes mellitus. Fever and headache were reported in 27 (45%) and 15 (25%) of the cases respectively. Respiratory manifestations recorded as wheezing observed in 3 (5%), rhinorrhea 12 (20%), crackles 3 (5%) sore throat 22 (36%), bronchial breathing 23 (38.3%) with the most of the patients experienced cough 41 (68.3%) and shortness of breath (SOB) 38 (63.3%). Cyanosis is recognized in 3 (5%), convulsion 4 (6.7%), malaise 41 (68.3%). Gastrointestinal manifestations were diarrhea 8 (13.3%), vomiting 12 (20%). Overall mortality was higher in male gender 8 (18.6%) and the overall average age of the died cases was 60.5 years. Conclusion: the infection with COVID-19 is more likely to infect older men with hypertension, diabetes, cardiovascular disease, and respiratory disease as significant risk factors for COVID-19 patients. The understanding of these factors can enhance defining those COVID-19 patients at higher risk, and allow a more targeted and approach to prevent those deaths.
Background : Double diabetes (DD) is the term used to describe situations in which a patient exhibits characteristics that are a combination of type 1 diabetes mellitus(T1DM) and type 2 Diabetes Mellitus (T2DM) a large epidemiological study found that 25.5% of people with T1D also had the metabolic syndrome. A new protein hormone called asprosin is predominantly released by white adipose tissue. It was initially discovered in 2016 . Asprosin is important diagnoses marker for insulin resistant in diabetes patients ,additionally is very important denotation about early diagnoses of type 2 diabetes. Objectives: The current study aims to find predictive significance of diagnosis a double diabetes by evaluating the asprosin in the blood serum of
... Show MoreBladder dysfunction is one of the most common complications of diabetes, even exceeding nephropathy or peripheral neuropathy. Diabetic cystopathyaffects patients in both sexes, and its prevalence increases over time with diabetes; our concern is to evaluate the urodynamic findings of bladder dysfunction in diabetic patients.A cross sectional study conducted at Ghazi Al-Hariri Surgical specialized hospital during the period from the firsts of January 2018 to the end of Mar 2019, in which 118 diabetic patients (71 female and 47 male) with lower urinary tract symptoms were enrolled in the current study. The mean age (62±13) years old, 37.3% of patients presented with urgency as the main type of dysfunction. Diabetic cystopathy were fo
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Atenolol is one of beta-adrenergic receptor blocking agent. It is widely used for the treatment of hypertension as a selective antihypertensive drug. But long term usage of atenolol may cause one of the cardiovascular diseases like myocardial infarction. To prove the relationship between atenolol and cardiovascular disease, measurement of creatinekinase-MB as a diagnostic indicator in early and long term usage of this drug by hypertensive patients is recommended. A comparative study was conducted in Al-Yarmouk Teaching Hospital–Emergency Department- on 30 hypertensive patients using atenolol. They were divided into (2) groups A and B according to the duration of the drug usage. Group A- (15) patients with a mean age (56
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Precise forecasting of pore pressures is crucial for efficiently planning and drilling oil and gas wells. It reduces expenses and saves time while preventing drilling complications. Since direct measurement of pore pressure in wellbores is costly and time-intensive, the ability to estimate it using empirical or machine learning models is beneficial. The present study aims to predict pore pressure using artificial neural network. The building and testing of artificial neural network are based on the data from five oil fields and several formations. The artificial neural network model is built using a measured dataset consisting of 77 data points of Pore pressure obtained from the modular formation dynamics tester. The input variables
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The aim of the research is to identify learning difficulties and their role in children's perception of self-concept. The researcher adopted the descriptive and analytical approach method in this study. A questionnaire was designed by the researcher to collect some related information such as biodata, family, health, diagnostic and behavioral patterns of the case. In addition, the researcher adopted the scale of learning difficulties for elementary school students prepared by Zaidan Ahmed Al-Sartawi (1995), the scale of student appreciation for the survey of learning difficulties for primary school students by Michael Best, which was translated to the Arabic language by (Saeed Abdullah Debis). The researcher adopted also the Self-Concept
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Al-Dalmaj marsh and the near surrounding area is a very promising area for energy resources, tourism, agricultural and industrial activities. Over the past century, the Al-Dalmaje marsh and near surroundings area endrous from a number of changes. The current study highlights the spatial and temporal changes detection in land cover for Al-Dalmaj marsh and near surroundings area using different analyses methods the supervised maximum likelihood classification method, the Normalized Difference Vegetation Index (NDVI), Geographic Information Systems(GIS), and Remote Sensing (RS). Techniques spectral indices were used in this study to determine the change of wetlands and drylands area and of other land classes, th
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In recent years, non-oil primary balance indicator has been given considerable financial important in rentier state. It highly depends on this indicator to afford a clear and proper picture of public finance situation in term of appropriate and sustainability in these countries, due to it excludes the effect of oil- rental from compound of financial accounts which provide sufficient information to economic policy makers of how economy is able to create potential added value and then changes by eliminating one sided shades of economy. In Iraq, since, 2004, the deficit in value of this indicator has increased, due to almost complete dependence on the revenues of the oil to finance the budget and the obvious decline of the non-oil s
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