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Catheter directed thrombolysis for acute deep vein and arterial thrombosis in COVID-19: report of two cases from Sulaymaniyah, Kurdistan-Iraq: Catheter directed thrombolysis for COVID-19 thrombosis
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Abstract

As one year elapsed since COVID-19 outbreak, venous and arterial thromboses are increasingly reported in different vascular territories. Once accessed by the virus, the endothelial cells, abundant in angiotensin converting enzyme-2 (ACE-2) protein, will be activated by the inflammatory process leading to coagulopathy and vascular lesions. Herein, we describe a case of extensive thrombosis of the infra-renal inferior vena cava and iliac femoral vein in a man of 62 and a case of acute superficial femoral artery thrombosis in a lady of 55. Both were COVID-19 confirmed cases with severe pneumonia, high D-Dimer levels and risk factors for severe disease or death. Despite presentation 1-2 weeks after the onset of thromboses, they were successfully managed by catheter directed thrombolysis (CDT) using tissue plasminogen activator (tPA). Owing to the increased morbidity and mortality of vascular thrombosis, there is a need to identify COVID-19 patients who need prophylaxis and prescribe them the right prophylactic drug (s). The excellent outcome of CDT in these two patients, from Sulaymaniyah/Iraq, supports the use of this treatment modality as a valid, safe and effective option for acute arterial and venous thromboses.

 

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Publication Date
Thu Apr 27 2023
Journal Name
Journal Of The Faculty Of Medicine Baghdad
The Use of Off-label and Unlicensed Drugs for Neonates: A Report from a Teaching Hospital in Baghdad
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Background: Neonates who are admitted to hospitals will need various drugs. The use of unlicensed or off-label drugs without scientific evidence makes this exposure unsafe.

Aim of study: We aimed to assess the use of drugs for neonates based on the British National Formulary for Children and IBM Micromedex Neofax.

Patients and methods: This is a descriptive study which reviewed the clinical files of enrolled neonates who have stayed in the hospital for more than 24 hours and received at least one drug. It was conducted in the neonatal care unit of the Children Welfare Teaching Hospital/ Medical City Complex in Baghdad during the period from 1st of January to 30th of June/20

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Publication Date
Wed Mar 01 2023
Journal Name
Ecti Transactions On Computer And Information Technology
Diagnosis of COVID-19 Infection via Association Rules of Cough Encoding
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Article information: COVID-19 has roused the scientic community, prompting calls for immediate solutions to avoid the infection or at least reduce the virus's spread. Despite the availability of several licensed vaccinations to boost human immunity against the disease, various mutated strains of the virus continue to emerge, posing a danger to the vaccine's ecacy against new mutations. As a result, the importance of the early detection of COVID-19 infection becomes evident. Cough is a prevalent symptom in all COVID-19 mutations. Unfortunately, coughing can be a symptom of various of diseases, including pneumonia and inuenza. Thus, identifying the coughing behavior might help clinicians diagnose the COVID-19 infection earlier and distinguish

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Publication Date
Mon May 01 2023
Journal Name
Clinical And Experimental Dental Research
Atypical clinical features of post COVID‐19 mucormycosis: A case series
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Abstract<sec><title>Objectives

This case series aims to evaluate patients affected with post COVID‐19 mucormycosis from clinical presentation to surgical and pharmacological treatment to improve the disease prognosis.

Material and Methods

This case series was conducted at a specialized surgery hospital in Baghdad Medical City for over 10 months. Fifteen cases who had mild to severe COVID‐19 infections followed by symptoms similar to aggressive periodontitis, such as mobility and bone resorption around the multiple maxillary teeth, were included in this case series.

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Publication Date
Thu Jul 01 2021
Journal Name
Iraqi Journal Of Science
Implementation of Machine Learning Techniques for the Classification of Lung X-Ray Images Used to Detect COVID-19 in Humans
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COVID-19 (Coronavirus disease-2019), commonly called Coronavirus or CoV, is a dangerous disease caused by the SARS-CoV-2 virus. It is one of the most widespread zoonotic diseases around the world, which started from one of the wet markets in Wuhan city. Its symptoms are similar to those of the common flu, including cough, fever, muscle pain, shortness of breath, and fatigue. This article suggests implementing machine learning techniques (Random Forest, Logistic Regression, Naïve Bayes, Support Vector Machine) by Python to classify a series of chest X-ray images that include viral pneumonia, COVID-19, and healthy (Not infected) cases in humans. The study includes more than 1400 images that are collected from the Kaggle platform. The expe

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Publication Date
Sun Jan 01 2023
Journal Name
Aip Conference Proceedings
Mining categorical Covid-19 data using chi-square and logistic regression algorithms
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Publication Date
Sat Dec 04 2021
Journal Name
Ournal Of Global Trends In Pharmaceutical Sciences
REVIEW ARTICLE: COVID – 19: INFECTION, ORIGIN, TRANSMISSION, DIAGNOSIS, TESTS AND TREATMENT OPTIONS
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Publication Date
Tue Oct 01 2024
Journal Name
International Immunopharmacology
mRNA vaccination reduces the thrombotic possibility in COVID-19: Inflammation risk estimates
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Thrombosis is a common clinical feature associated with morbidity and mortality in coronavirus disease-2019 (COVID-19) patients. Cytokine storm in COVID-19 increases patients' systemic inflammation, which can cause multiple health consequences. In this work, we aimed to indicate the effect of Pfizer-BioNTech vaccination on the modulation of monocyte chemoattractant protein-3 (MCP-3), matrix metalloproteinase 1 (MMP-1), and tumor necrosis factor-alpha (TNF-α) levels, and other systemic inflammatory biomarkers that associates with COVID-19 severity in patients who suffers from thrombosis consequences. For this purpose, ninety people were collected from Ibn Al-Nafees Hospital and divided into three groups each of which contained 30 people, 15

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Publication Date
Sun Jan 01 2023
Journal Name
Česká A Slovenská Farmacie
Hyperferritinemia as a factor associated with poor prognosis in COVID-19 patients
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Worldwide, hundreds of millions of people have been infected with COVID-19 since December 2019; however, about 20% or less developed severe symptoms. The main aim of the current study was to  assess  the  relationship  between  the  severity of Covid-19 and different clinical and laboratory parameters. A total number of 466 Arabs have willingly joined this prospective cohort. Out of the total number, 297 subjects (63.7%) had negative COVID-19 tests, and thus, they were recruited as controls, while 169 subjects (36.3%) who tested positive for COVID-19 were enrolled as cases. Out of the total number of COVID-19 patients, 127 (75.15%) presented with mild symptoms, and 42 (24.85%) had severe symptoms. The age range for the partic

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Publication Date
Wed Jan 01 2020
Journal Name
Studies In Big Data
COVID-19 Diagnostics from the Chest X-Ray Image Using Corner-Based Weber Local Descriptor
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Corona Virus Disease-2019 (COVID-19) is a novel virus belongs to the corona virus's family. It spreads very quickly and causes many deaths around the world. The early diagnosis of the disease can help in providing the proper therapy and saving the humans' life. However, it founded that the diagnosis of chest radiography can give an indicator of coronavirus. Thus, a Corner-based Weber Local Descriptor (CWLD) for COVID-19 diagnostics based on chest X-Ray image analysis is presented in this article. The histogram of Weber differential excitation and gradient orientation of the local regions surrounding points of interest are proposed to represent the patterns of the chest X-Ray image. Support Vector Machine (SVM) and Deep Belief Network (DBN)

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Publication Date
Sat Jul 01 2017
Journal Name
Journal Of The Faculty Of Medicine Baghdad
Glucose-6 Phosphate Dehydrogenase Deficiency in terms of hemolysis indicators and management
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Background: Glucose-6 Phosphate Dehydrogenase (G6PD) Deficiency is one of the commonest inherited enzyme abnormalities in humans, caused by many mutations that reduce the stability of the enzyme and its level as red cells progress in age.
Objectives: To determine the useful hematologic indicators of hemolysis, observe an early detection of G6PD enzyme deficiency (if any), and the available therapeutic measures.
Patients and Methods: 123 patients with G6PD deficiency and hemolysis after exposure to fava beans whom visited AL-Elwiya Pediatric Teaching Hospital from the 1st of February 2016 till 31st of May 2016 were entered this study retrospectively. Hemolysis laboratory indicators were observed. Management supportive measures were

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