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State of type 2 diabetic Iraqi patients after hospitalization for COVID-19
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Background

The coronavirus-19 (COVID-19) pandemic, triggered by the severe acute respiratory syndrome coronavirus 2, has affected over 100 million people and killed around 2 million individuals. One of the most common chronic illnesses in the world is diabetes, which greatly raises the risk of hospitalization and death for COVID-19 patients.

Objective

This study aims to analyze the novel coronavirus's general characteristics and shed light on COVID-19 and its management in diabetic individuals by measuring some metabolic and inflammatory factors in type 2 diabetic patients with and without COVID-19.

Methods

One hundred Iraqi patients with type 2 diabetes mellitus (T2DM) were enrolled in the current study; 50 had COVID-19 with the Omicron variant, and 50 weren't. The diagnosis was designed by the consultant medical staff at the clinic. Eligible individuals had a positive nasal swab for reverse transcription polymerase chain reaction for severe acute respiratory syndrome coronavirus 2 infection. They were compared with 50 healthy individuals as a control group. Every participant's anthropometric and clinical features were measured. The study includes the study groups’ glycemic, lipid profile, serum urea, and C-reactive protein (CRP) measurements.

Results

There were remarkable rises ( p  < 0.05) in fasting and random blood glucose, serum lipid, and urea levels in diabetic patients with COVID-19 compared to those without COVID-19 and the control group. Also, a significant elevation ( p  = 0.01) was found in fasting serum insulin among diabetic patients with COVID-19 as compared to those without COVID-19 and the control group (32.75 ± 8.63 vs. 25.82 ± 3.50 and 10.65 ± 1.12) µU/L, respectively. Serum CRP levels significantly increased ( p  = 0.0001) in diabetic patients with COVID-19 compared to other groups.

Conclusion

Hyperglycemia, hyperinsulinemia, and dyslipidemia resulting from cytokine storm significantly increased the risk of hospitalization and death among coronavirus disease-19 patients. It has been concluded that T2DM reliably predicts morbidity among COVID-19 patients presenting with symptoms suggestive of severe hyperglycemia. The results also show the temporary and reversible deficiency in insulin secretion associated with severe acute respiratory syndrome coronavirus-2 infection. Consequently, it is recommended to examine variables of insulin sensitivity and pancreatic islet activity among patients with COVID-19 who have a history of diabetes.

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Publication Date
Wed Nov 01 2023
Journal Name
Journal Of Medicine And Life
Association between <i>CNR1</i> gene polymorphisms and susceptibility to diabetic nephropathy in Iraqi patients with T2DM
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In individuals with type 2 diabetes mellitus (T2DM), the cannabinoid receptor 1 (CNR1) gene polymorphism has been linked to diabetic nephropathy (DN). Different renal disorders, including DN, have been found to alter cannabinoid (CB) receptor expression and activation. This cross-sectional study aimed to investigate the relationship between CNR1 rs1776966256 and rs1243008337 genetic variants and the risk of developing DN in Iraqi patients with T2DM. The study included 100 patients with T2DM, divided into two groups: 50 with DN and 50 without DN. Genotyping of CNR1 rs1776966256 and rs1243008337 polymorphisms was conducted using PCR in DN patients and control samples. The distribution of rs1776966256 and rs1243008337 genotypes and alleles bet

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Publication Date
Fri Dec 31 2021
Journal Name
Journal Of Communicable Diseases
The Relation between RT-PCR and Chest CT Scan Sensitivity as Tools in the Diagnosis of COVID-19 Patients in Al-Najaf Province, Iraq
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The typical test for diagnosis of severe acute respiratory syndrome coronavirus 2 is a reverse transcription-polymerase chain reaction (RT-PCR) technique, but the chest CT scan might play a complementary role at the first detection of Coronavirus Disease 2019 (COVID-19) pneumonia. Objectives: To determine the sensitivity of CT scan on patients with COVID-19 in Al-Najaf, Iraq, and to compare the accuracy of CT scan with that of RT-PCR technique. Material and Method: This is a prospective study. The patients suspicious of having COVID-19 infection and respiratory symptoms were registered. All patients were diagnosed by RT-PCR and chest CT. Diagnostic performance of CT was intended using RT-PCR as the reference sta

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Publication Date
Wed Feb 01 2023
Journal Name
International Journal Of Electrical And Computer Engineering (ijece)
Classification of COVID-19 from CT chest images using Convolutional Wavelet Neural Network
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<p>Analyzing X-rays and computed tomography-scan (CT scan) images using a convolutional neural network (CNN) method is a very interesting subject, especially after coronavirus disease 2019 (COVID-19) pandemic. In this paper, a study is made on 423 patients’ CT scan images from Al-Kadhimiya (Madenat Al Emammain Al Kadhmain) hospital in Baghdad, Iraq, to diagnose if they have COVID or not using CNN. The total data being tested has 15000 CT-scan images chosen in a specific way to give a correct diagnosis. The activation function used in this research is the wavelet function, which differs from CNN activation functions. The convolutional wavelet neural network (CWNN) model proposed in this paper is compared with regular convol

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Publication Date
Sun Jan 01 2023
Journal Name
Revista Iberoamericana De Psicología Del Ejercicio Y El Deporte
THE IMPACT OF COVID-19 ON FOOTBALL CLUB STOCK INTEGRATION AND PORTFOLIO DIVERSIFICATION
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Publication Date
Wed Mar 30 2022
Journal Name
Journal Of Educational And Psychological Researches
Realizing the personality traits of Bisha University Employees during the Covid-19 pandemic
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The post-Corona Covid-19 world is not the world before it, the problem of perception of personality traits with two axes: the characteristics of psychological and social compatibility, and the second aspect the mental disorder during the pandemic, and the accompanying precautions and prohibitions during the academic year 2020 AD. The aim of the research is to reveal the perception of the personal characteristics of Bisha University employees (students and faculty) during the Corona Covid-19 pandemic, and to reveal statistically significant differences in the perception of the personality traits of Bisha’s members during the Covid 19 according to the scientific qualification variables (female students -faculty members),  marital st

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Publication Date
Tue Sep 01 2020
Journal Name
Asian Journal Of Pharmacy And Pharmacology
Clinical manifestations and maternal outcomes of COVID-19 in pregnancy: A systematic review
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Publication Date
Wed Feb 01 2023
Journal Name
International Journal Of Electrical And Computer Engineering
Classification of COVID-19 from CT chest images using Convolutional Wavelet Neural Network
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<p>Analyzing X-rays and computed tomography-scan (CT scan) images using a convolutional neural network (CNN) method is a very interesting subject, especially after coronavirus disease 2019 (COVID-19) pandemic. In this paper, a study is made on 423 patients’ CT scan images from Al-Kadhimiya (Madenat Al Emammain Al Kadhmain) hospital in Baghdad, Iraq, to diagnose if they have COVID or not using CNN. The total data being tested has 15000 CT-scan images chosen in a specific way to give a correct diagnosis. The activation function used in this research is the wavelet function, which differs from CNN activation functions. The convolutional wavelet neural network (CWNN) model proposed in this paper is compared with regular convol

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Publication Date
Fri Dec 30 2011
Journal Name
Al-kindy College Medical Journal
T-Cells Proliferation and Serum Cytokine levels in Type 1 Diabetic Children
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Background: There is plenty of evidence
suggesting that involvement of several groups of
viruses in the development and / or acceleration of
Type 1 Diabetes Mellitus (T1DM).
Objective: To analyze the T- cell proliferation in
the presence of Coxsackie virus B5 (CVB5), Polio
and Adenovirus antigens in addition to assessment
of Interferon- gamma (IFN-γ), Interleukins (IL-10
and IL-6).
Methods: In 60 Iraqi T1DM children with recent
onset of T1DM, Lymphocyte proliferation was
analyzed using Methylthiazol tetrazolium (MTT)
assay by culturing Peripheral Blood Lymphocytes
(PBLs) with Coxsackie Virus B5 (CVB5),
Adenovirus, and Polio vaccine. Serum Interferon-γ,
IL-10 and IL-6 were quantified by sandw

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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
Thu Dec 09 2021
Journal Name
Iraqi Journal Of Pharmaceutical Sciences ( P-issn 1683 - 3597 E-issn 2521 - 3512)
Algae Bioactive Constituents and Possible Role During COVID-19 Pandemic (A review)
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Nowadays, the use of natural bio-products in pharmaceuticals is gaining popularity as safe alternatives to chemicals and synthetic drugs. Algal products are offering a pure, healthy and sustainable choice for pharmaceutical applications. Algae are photosynthetic microorganisms that can survive in different environmental conditions. Algae have many outstanding properties that make them excellent candidate for use in therapeutics. Algae grow in fresh and marine waters and produce in their cells a wide range of biologically active chemical compounds. These bioactive compounds are offering a great source of highly economic bio-products. The prese
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