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Predictive value of C-reactive protein, D-dimer, Hemoglobin and Lactate dehydrogenase levels in diagnosing COVID-19 patients

Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has caused enormous issues worldwide and is the most infectious pandemic. This study included 50 subjects (evenly distributed between sexes) and their range of ages starting from 2 to 67 years. According to the study's result, the ages and genders of subjects include susceptibility to COVID-19. Males were found to be more infected than females, and the ages of 36 to 67 were more common than other age ranges. Also, BMI calculations revealed that male patients with COVID-19 have the highest percentage of obesity. The clinical parameter results have been found serum C‐reactive protein (CRP) as an essential indicator that changes significantly in infection with COVID‐19 and inflammation. The concentration of CRP is higher for positive COVID‐19 patients (male and female) with mild symptoms of COVID-19 than for harmful COVID‐19 infection, and CRP levels were higher in male than female patients. The results of D-dimer levels determined a non-significant difference in D-dimer levels in COVID-19 patients and non-COVID-19 patients than the average concentration (N: Less than 500mg/dl.). The results of hemoglobin blood levels demonstrated significant variations between COVID-19 and non-COVID-19 patients and a decreased Hb concentration compared to average concentration (N: 11-16 g/dl.); thus a link between anemia and inflammation. The lactate dehydrogenase (LDH) levels increased in positive COVID-19 patients male were (178.79 ± 56.08) mg/dl, and positive COVID-19 patients female were (141.57 ± 46.90) mg/dl than average (N: Less than100mg/dl.), and significant variation was observed between positive and negative COVID-19 patients. Keywords: COVID-19; C‐reactive protein; hemoglobin; lactate dehydrogenase.

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Publication Date
Mon Jan 01 2018
Journal Name
Indian Journal Of Public Health Research & Development
Immunohistochemical Expression of CDX2 Protein in Iraqi Patients with Human Gastric Cancer (HGC)

This study aimed to evaluate the IHC expression of CDX2 protein in HGC patients and control groups and also to study the correlation between IHC expression of the CDX2 and different clinicopathological variables such as: age, gender, histopathological subtype, grade, and stage of the tumor in HGC cases. the retrospectively sectional study for the period from 2014 to 2018 included a total of 60 formalin fixed paraffin embedded blocks of the HGC tissue (partial or total gastrectomy specimens) that collected from the archived materials of the Department of Pathology of Baghdad Teaching Hospital and the Center of Gastrointestinal and Hepatic Diseases, and also some samples were collected from other private laboratories. The IHC expression of th

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Publication Date
Wed May 08 2024
Journal Name
Journal Of Mathematics And Computer Science
How does media coverage affect a COVID-19 pandemic model with direct and indirect transmission?

In this paper, a compartmental differential epidemic model of COVID-19 pandemic transmission is constructed and analyzed that accounts for the effects of media coverage. The model can be categorized into eight distinct divisions: susceptible individuals, exposed individuals, quarantine class, infected individuals, isolated class, infectious material in the environment, media coverage, and recovered individuals. The qualitative analysis of the model indicates that the disease-free equilibrium point is asymptotically stable when the basic reproduction number R0 is less than one. Conversely, the endemic equilibrium is globally asymptotically stable when R0 is bigger than one. In addition, a sensitivity analysis is conducted to determine which

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Publication Date
Tue Aug 01 2023
Journal Name
Baghdad Science Journal
A New Model Design for Combating COVID -19 Pandemic Based on SVM and CNN Approaches

       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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Publication Date
Tue Oct 01 2024
Journal Name
Journal Of Obstetrics Gynecology And Cancer Research
Comparison of Levels of Activin A and Follistatin in Ectopic Pregnancies and Missed Abortions Patients

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Publication Date
Thu Jan 01 2015
Journal Name
International Journal Of Engineering And Applied Sciences
SYNTHESIS OF CIPROFLOXACIN LACTATE PROCAINAMIDE AS MUTUAL PRODRUG

In this research, two drugs were bonded through amide and ester attachment, using lactic acid as aspacer binder, produced di pro drug such as Procain and Ciprofloxacin. Since Procain has ailocail anesthetic action and Ciprofloxacin as antibacterial drug was reacted with lactic acid produced ester compound (1), then the carboxylic acid of lactic acid could reacted with free Procain oil produced amide attachment, the controlled drug release in different pH values at 37C˚was studied to improve their characteristic and to minimize the side effect of the drug could be used in broad spectrum activity as atherapeutic material.This mutual prodrug was used with another biological active drug instead of single action. The prepared prodrug was charac

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Publication Date
Sun Sep 03 2023
Journal Name
Wireless Personal Communications
Application of Healthcare Management Technologies for COVID-19 Pandemic Using Internet of Things and Machine Learning Algorithms

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Publication Date
Tue Oct 01 2024
Journal Name
Medical Journal Of Babylon
Association between Single Nucleotide Polymorphisms rs3757318 and Vitamin D Deficiency in Iraqi Breast Cancer Patients
Abstract<sec> <title>Background:

Multiple single-nucleotide polymorphisms (SNPs) located in the intergenic region between estrogen receptor 1 and CCDC170 (especially at rs3757318) are thought to be associated with breast cancer risk. additionally, the serum level of vitamin D is believed to be linked to different aspects of breast carcinogenesis.

Objectives:

To assess the potential association between rs3757318 SNP and breast cancer pathogenicity, specifically in relation to serum vitam

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Publication Date
Tue Mar 30 2021
Journal Name
Iraqi Journal Of Science
Changes in Serum Levels of Lipid Profile Parameters and Proteins in Toxoplasma gondii Seropositive Patients

The influence of Toxoplasma gondii on some biochemical parameters has lately gained an increasing attention. The aim of this study was to assess the levels of some biochemical parameters in Toxoplasma positive and negative subjects. An analytical case–control study was achieved in Baghdad for the period from October 2018 until March 2019. Forty nine females participated in this study, with an age range of 18-55 years. The participants were separated into two groups, namely Toxoplasma positive subjects (n=21) and Toxoplasma negative subjects (n=28), based on enzyme-linked immunosorbent assay (ELISA). Blood and serum samples were collected from all subjects to evaluate the serum levels of cholesterol, triglycerides, high density lip

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Publication Date
Sun Apr 02 2023
Journal Name
Journal Of Survey In Fisheries Sciences
Evaluation of the Serum Asprosin Levels in Patients with Double Diabetes

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

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Publication Date
Thu Apr 13 2023
Journal Name
Journal Of Survey In Fisheries Sciences
The Elevation of Serum Subfatin Levels in Patients with Double Diabetes

Background: Hybrid diabetes (or double diabetes, DD) occur when the patient which exhibits characteristics that combine type 1 diabetes (T1DM) and type 2 diabetes (T2DM). Formerly epidemiological studies found that quarter of people with T1D also had the metabolic syndrome. Subfatin, Also called cometin, it is a small (~27kDa) cytokine secreted by protein encoded by a gene called METRNL (simeler of meteorin). is much expressed in skin in the mucosal tissues and activated macrophages. Subfatin has also been described as a hormone that effected in some diseases such as metabolic diseases (including dyslipidemia), type 2 diabetes and obesity. Objectives: The current study objective is evaluating the subfatin in the blood serum of double diabet

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