The gastrointestinal system is one of the many organs in the body that have been affected by the new viral illness known as coronavirus disease 2019 (COVID-19). To find out the GIT symptoms are into patients with Covid-19 and how they correspond with the severity of the illness. At the Al-Shifaa facility, 172 patients infected with COVID-19 participated in our study. A clinical examination, laboratory tests (CRP, D.Dimer, and serum ferritin), a chest CT scan, and a medical history were performed on each patient. The severity of the illness and other factors were taken into consideration while evaluating the gastrointestinal symptoms. Data collection from 172 patients, 91 patients infected with COVID-19 infection, 91 patients (52.9%) had GIT manifestation, while 81 patients (47.1%) had without GIT manifestation. According to the severity 117 patients had severe infection of them 60 patients (51.3%) had GIT manifestation and 57 patients (48.7%) without GIT manifestation; 31 patients had moderate infection 20 patients (64.5%) of them had GIT manifestation, and 11 patients (35.5%) without, 24 patients had mild infection 11 patients (45.8%) had GIT manifestation, and 13 patients( 54.2%) without. According to gender, 82 patients( 47.7%) were female (50 patients (61.0%) had GIT manifestation and 32 patients (39.9%) without), 90 patients (52.3%) were male (41 patients (45.65%) had GIT manifestation and 49 patients (54.4%) without). By comparison of inflammatory markers (in the form of CRP titer, D.Dimer, and sr. ferritin ) which were 99.21 ± 13.71, 2.13 ±0.28, and 642.66±49.95 respectively, in those with SARS-CoV-2 infection and 83.37±8.69, 2.19±0.34 and 606±58.57, respectively, for those with no GIT symptoms (p-value =0.34, 0.89, and 0.62, respectively). GIT manifestations are common symptoms in patients with COVID-19. The incidence of GIT manifestations is not affected by the disease severity in SARS-CoV-2 infection. Inflammatory markers (in the form of CRP titer, ferritin, and D-dimer) are not related to the incidence of GIT manifestations in COVID–19 infection.
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Drug consultation is an important part of pharmaceutical care. mobile phone call or text message can serve as an easy, effective, and implementable alternative to improving medication adherence and clinical outcomes by providing the information needed significantly for people with chronic illnesses like diabetes and hypertension particularly during pandemics like COVID-19 pandemic.
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In the current worldwide health crisis produced by coronavirus disease (COVID-19), researchers and medical specialists began looking for new ways to tackle the epidemic. According to recent studies, Machine Learning (ML) has been effectively deployed in the health sector. Medical imaging sources (radiography and computed tomography) have aided in the development of artificial intelligence(AI) strategies to tackle the coronavirus outbreak. As a result, a classical machine learning approach for coronavirus detection from Computerized Tomography (CT) images was developed. In this study, the convolutional neural network (CNN) model for feature extraction and support vector machine (SVM) for the classification of axial
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Background: This study aimed to assess the effect of tooth width in malocclusion in relation to normal, crowding, and spacing dentition. Materials and methods: The sample included dental casts of some dental students and orthodontic patients; their age was (18-25) years and having three groups normal, crowding, and spacing dentition groups. The sample was equally divided to three groups normal, crowding, and spacing dentition groups, each group contained 50 maxillary and 50 mandibular casts that were further subdivided by gender; all the stone casts were measured by highly sensitive digital vernier. Results and Conclusions: Non-significant side difference was found in both dental arches in the three studied groups. Males had higher mesiodis
... Show MoreBreast cancer is the most common malignancy in female and the most registered cause of women’s mortality worldwide. BI-RADS 4 breast lesions are associated with an exceptionally high rate of benign breast pathology and breast cancer, so BI-RADS 4 is subdivided into 4A, 4B and 4C to standardize the risk estimation of breast lesions. The aim of the study: to evaluate the correlation between BI-RADS 4 subdivisions 4A, 4B & 4C and the categories of reporting FNA cytology results. A case series study was conducted in the Oncology Teaching Hospital in Baghdad from September 2018 to September 2019. Included patients had suspicious breast findings and given BI-RADS 4 (4A, 4B, or 4C) in the radiological report accordingly. Fine needle aspirati
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