Preferred Language
Articles
/
_xfHk5IBVTCNdQwCZrdb
D-dimer and Ferritin Levels in Prediction of COVID-19 Severity
...Show More Authors
Abstract<sec> <title>BACKGROUND:

The most common cause of upper respiratory tract infection is coronavirus, which has a crown appearance due to the existence of spikes on its envelope. D-dimer levels in the plasma have been considered a prognostic factor for COVID-19 patients.

AIM OF THE STUDY:

The aim of the study is to demonstrate the role of COVID-19 on coagulation parameters D-dimer and ferritin with their association with COVID-19 severity and disease progression in a single-center study.

PATIENTS AND METHODS:

This study included 200 COVID-19 patients in a private single center from January 01, 2021, to January 01, 2022, in Baghdad-Iraq. D-dimer and ferritin were analyzed in those patients and evaluated their association with the need for oxygen therapy and intensive care unit (ICU) admission.

RESULTS:

Two hundred COVID-19 patients met the criteria for inclusion in this research. The total mean age of all patients was 60.1 ± 11.6 years and the sex distribution was 130 (65%) males and 70 (35%) females. Regarding D-dimer and ferritin, there were significantly higher values in patients in respiratory care units (4748 ± 7.2) (215.7 ± 4.2) (P = 0.0001) in comparison with another group who did not need oxygen or ICU admission (345 ± 3.6) (98.4 ± 1.7), respectively.

CONCLUSIONS:

High levels of D-dimer and ferritin may be used as tools to predict unfavorable clinical outcomes of the disease and poor prognosis.

Scopus Crossref
View Publication
Publication Date
Mon Jun 01 2020
Journal Name
Al-khwarizmi Engineering Journal
Prediction of Cutting Force in Turning Process by Using Artificial Neural Network
...Show More Authors

       

Cutting forces are important factors for determining machine serviceability and product quality. Factors such as speed feed, depth of cut and tool noise radius affect on surface roughness and cutting forces in turning operation. The artificial neural network model was used to predict cutting forces with related to inputs including cutting speed (m/min), feed rate (mm/rev), depth of cut (mm) and work piece hardness (Map). The outputs of the ANN model are the machined cutting force parameters, the neural network showed that all (outputs) of all components of the processing force cutting force FT (N), feed force FA (N) and radial force FR (N) perfect accordance with the experimental data. Twenty-five samp

... Show More
View Publication Preview PDF
Crossref (4)
Crossref
Publication Date
Thu May 18 2023
Journal Name
Journal Of Engineering
Prediction of Coefficient of Permeability of Unsaturated Soil
...Show More Authors

A simple technique is proposed in this paper for estimating the coefficient of permeability of an unsaturated soil based on physical properties of soils that include grain size analysis, degree of saturation or water content, and porosity of the soil. The proposed method requires the soil-water characteristic curve for the prediction of the coefficient of permeability as most of the conventional methods. A procedure is proposed to define the hydraulic conductivity function from the soil water characteristic curve which is measured by the filter paper method. Fitting methods are applied through the program (SoilVision), after indentifying the basic properties of the soil such as Attereberg limits, specific gravity, void ratio, porosity, d

... Show More
View Publication Preview PDF
Crossref (3)
Crossref
Publication Date
Fri Dec 24 2021
Journal Name
Journal Of Engineering Science And Technology. Journal Of Engineering Science And Technology
Grey-Level Image Compression Using 1-D Polynomial and Hybrid Encoding Techniques
...Show More Authors

Scopus (6)
Scopus
Publication Date
Thu May 21 2026
Journal Name
Scientific Reports
Prediction of unerupted canines and premolars widths in an Emirati population: development and validation of regression and machine learning models
...Show More Authors
Abstract<p> This study aimed to develop a more accurate model for predicting the widths of unerupted canines and premolars in Emirati children, using deep learning and machine learning techniques. Dental models of 380 Emirati individuals aged 15–30 years were collected. The mesiodistal widths of permanent teeth were measured with a standardized orthodontic digital caliper. Regression models were developed using linear regression, Support Vector Regression (SVR; machine learning), and Artificial Neural Networks (ANN; deep learning). The widths of mandibular lateral incisors, central incisors, and the summed width of mandibular incisors were used as predictors. A two-tail</p> ... Show More
View Publication
Crossref
Publication Date
Sat Apr 01 2023
Journal Name
Fluid Phase Equilibria
Prediction of solubility of vitamins in the mixed solvents using equation of state
...Show More Authors

View Publication
Scopus (1)
Crossref (1)
Scopus Clarivate Crossref
Publication Date
Wed Feb 28 2024
Journal Name
Al-rafidain Journal Of Medical Sciences ( Issn 2789-3219 )
The Effects of -806 T/C and -857 T/C Single Nucleotide Polymorphisms in the TNF-α Gene on Rheumatoid Arthritis Severity and Inflammatory Markers
...Show More Authors

Background: Polymorphisms in the TNF-α gene affect the development and progression of rheumatoid arthritis. Objective: To investigate the associations between (-806 T/C) and (-857 T/C) SNPs with rheumatoid arthritis severity and susceptibility in a sample of Iraqi patients. Methods: A case-control study was conducted in Baghdad, Iraq. Twenty healthy controls and 63 patients confirmed to be newly diagnosed with rheumatoid arthritis were included. Those are divided into two groups (patients and controls), and the patients were further subdivided into severe and mild-moderate groups. Samples from those participants were analyzed for clinical and inflammatory parameter measurements. Genotyping by the Sanger method was performed to stu

... Show More
View Publication
Scopus (2)
Crossref (2)
Scopus Crossref
Publication Date
Wed Aug 11 2021
Journal Name
Nauchforum
ROLE OF METAPHOR IN PUPPET IMPLEMENTATION (ON THE EXAMPLE OF D. RUBINA'S NOVEL «PETRUSHKA'S SYNDROME»)
...Show More Authors

The article examines metaphors as one of the fundamental means used by D. Rubina when writing the novel “Parsley Syndrome” to form images of dolls as equal heroes of the work. The author of the article continues research related to the work of Dina Ilinichna Rubina, a representative of modern Russian prose.

Publication Date
Sun Apr 02 2017
Journal Name
Research Journal Of Pharmaceutical, Biological And Chemical Sciences
GLP-1, GPCR Levels and their Relationshipwith Some Parameters in Nondiabetic Dyslipidaemia in Iraqi Patients
...Show More Authors

Abnormalities in the Lipid and lipoprotein levels are common in the general population and are considered as very important risk- factors for cardiovascular disease .In this context the effect of cholesterol, which is one of the most clinically relevant lipids is very important. Aim of the present study was to determine the levels of GLP-1 and GPCR in non- diabetic dyslipidaemic patients and compare the results with the control group, which may be used as a novel biomarker to predict heart disease in these patients. The study was also aimed to find the relationship between GLP-1 and GPCR with lipid profile and glucagon in the patient group. The study involved 90 non-diabetic dyslipidaemia patients, with 90 healthy controls. The subjects wer

... Show More
Publication Date
Tue Apr 07 2020
Journal Name
Water Environment Research
Assessment of microbial contamination levels of water in hemodialysis centers in Baghdad, Iraq
...Show More Authors
Abstract<sec><label></label><p>Monitoring water quality in hemodialysis systems is extremely important to maintain adequate quality services for patients suffering from kidney failure. This work aims to examine and evaluate bacteriological characteristics and endotoxin contamination levels in hemodialysis water produced in dialysis centers. Forty‐eight water samples were collected and analyzed from four major hospitals in Baghdad for one year to evaluate seasonal effects. The analysis included the determination of total heterotrophic bacteria using the pour plate method, identification of bacterial isolate using the Vitek2 compact instrument, and the determination of endotoxins levels using Limulus ameboc</p></sec> ... Show More
View Publication
Scopus (15)
Crossref (13)
Scopus Clarivate Crossref
Publication Date
Fri Feb 01 2019
Journal Name
Indian Journal Of Public Health Research
Determination of Glucagon-Like Peptide-1 and Dipeptidyl Peptidase-4 Levels in Diabetic Nephropathy Patients
...Show More Authors

Scopus (1)
Scopus