Acute decompensated heart failure (ADHF) is a leading cause of hospital admission and many factors are known to precipitate decompensation. We aimed to assess the decompensating factors of heart failure and the management of patients admitted to the emergency department (ED). A total of 107 patients were examined, all diagnosed with ADHF in the ED of the Baghdad Teaching Hospital, from June 2017 to December 2017, and presenting with decom¬pensation (pulmonary oedema, peripheral oedema, and fatigue). The mean patient age was 62.5 ± 9.8 years (range: 43–85 years); the majority of them were in their 7th decade (37.4%), and men were slightly more than women. Hy¬pertension was the most commonly associated comorbidity (68.2%), followed by diabetes mellitus (57.9%), coronary artery disease (51.4%), dyslipidaemia (37.4%), arrhythmia (28%), and chronic obstructive pulmonary disease / asthma (23.4%). The most common presentation was pulmonary oedema (88.8%) followed by peripheral oedema (61.7%), and fatigue (26.2%). Uncontrolled hypertension was the most common precipitating condition for decompen¬sation (58.9%), followed by infection (39.3%), acute coronary syndrome (31.8%), arrhythmia (27.1%), non-compliance (11.2%), and anaemia (2.8%). The majority of the admitted patients were managed with intravenously-administered (i.v.) diuretics (92.5%) that may have been combined with oxygen therapy (63.6%), antibiotics (58.9%), β-blockers (50.5%), nitroglycerin (40.2%), i.v. fluids (38.3%), and/or digoxin (19.6%).
The study using Nonparametric methods for roubust to estimate a location and scatter it is depending minimum covariance determinant of multivariate regression model , due to the presence of outliear values and increase the sample size and presence of more than after the model regression multivariate therefore be difficult to find a median location .
It has been the use of genetic algorithm Fast – MCD – Nested Extension and compared with neural Network Back Propagation of multilayer in terms of accuracy of the results and speed in finding median location ,while the best sample to be determined by relying on less distance (Mahalanobis distance)has the stu
... Show MoreThe study aimed to identify Human Papillomavirus (HPV) and its genotypes prevalent among Iraqi women. They collected 89 cervical swab samples from diagnosed patients at Baghdad Teaching Hospital's Early Detection Clinic. Using PCR technique on 19 samples, they found HPV16 (57.89%) and HPV6 (10.52%) genotypes, while HPV-11, 18, and 45 were absent. HPV 16 and HPV 6 were common in cervical cancer among Iraqi women. Sequencing revealed nucleic acid variants in HPV-6 (124A>C) and HPV-16 (225G>T) E6 genes, resulting in silent effects on the encoded protein. These changes didn't alter amino acid residues (p.74I= and p.L117=). Phylogenetic analysis showed substantial distances between their samples and other viral types, indicating di
... Show MoreSemiconductor quantum dots (QDs) have attracted tremendous attentions for their unique characteristics for solid-state lighting and thin-film display applications. A simple chemical method was used to synthesis quantum dots (QDs) of zinc sulfide (ZnS) with low cost. The XRD) shows cubic phase of the prepared ZnS with an average particles size of (3-29) nm. In UV-Vis. spectra observed a large blue shift over 38 nm. The band gaps energy (Eg) was 3.8 eV and 3.37eV from the absorption and photoluminescence (PL) respectively which larger than the Eg for bulk. QDs-LED hybrid devices were fabricated using ITO/ PEDOT: PSS/ Poly-TPD/ ZnS-QDs/ with different electron transport layers and cathode of LiF/Al layers. The EL spectrum reveals a bro
... Show MoreIn light of the development in computer science and modern technologies, the impersonation crime rate has increased. Consequently, face recognition technology and biometric systems have been employed for security purposes in a variety of applications including human-computer interaction, surveillance systems, etc. Building an advanced sophisticated model to tackle impersonation-related crimes is essential. This study proposes classification Machine Learning (ML) and Deep Learning (DL) models, utilizing Viola-Jones, Linear Discriminant Analysis (LDA), Mutual Information (MI), and Analysis of Variance (ANOVA) techniques. The two proposed facial classification systems are J48 with LDA feature extraction method as input, and a one-dimen
... Show MoreThis study examines traveling wave solutions of the SIS epidemic model with nonlocal dispersion and delay. The research shows that a key factor in determining whether traveling waves exist is the basic reproduction number R0. In particular, the system permits nontrivial traveling wave solutions for σ≥σ∗ for R0>1, whereas there are no such solutions for σ<σ∗. This is because there is a minimal wave speed σ∗>0. On the other hand, there are no traveling wave solutions when R0≤1. In conclusion, we provide several numerical simulations that illustrate the existence of TWS.
Enterobius vermicularis infection is considered as one of the important causes of anaemia and malnutrition among children. This topic has recently received an increased amount of attention. The objective of this study is to evaluate the demographical, anthropometrical, nutritional, and haematological status of E. vermicularis infection among children. This study was conducted in Al Diwaniyah province, south of Iraq, for the period of October 2020 to the end of January 2021. The study included 122 children from both genders (males, n= 61, and females, n=61) and their ages ranged between 1 and 14 years. Nutritional status, body mass index (BMI), BMI percentile, and weight- for- age Z score were evaluated for some particip
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