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The potential role of dyslipidemia in COVID-19 severity among Iraqi patients
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BACKGROUND:

The correlation between dyslipidemia and the severity of coronavirus disease 2019 has been widely categorized. Dyslipidemia is one of the most dominant disorders among these patients. Systemic inflammation accompanied by cytokine storm hemostasis modifications and severe vasculitis have all been reported to occur among COVID-19 patients, and these may contribute to some severe complications.

OBJECTIVE:

The aim of this study is to assess the possible relationship between dyslipidemia and the severity of coronavirus disease 2019.

METHODS:

This work encompassed 200 patients with coronavirus disease 2019 (100 dyslipidemic and 100 normolipidemic) who were hospitalized at Baghdad Teaching Hospital/ Medical City-Baghdad, Iraq, from October 2021 to October 2022; their ages ranged between 40 and 55. Eligible individuals had a positive nasal swab polymerase chain reaction for severe acute respiratory syndrome coronavirus 2 infection. Every participant’s anthropometric and clinical features were measured. The study includes the measurements of glycemic, lipid profile, renal function test, D-dimer, C-reactive protein, serum ferritin, and interleukin-6 in dyslipidemic and normolipidemic groups.

RESULTS:

Considerable increase ([Formula: see text] 0.001) in glycemic and lipid levels in the dyslipidemic group compared to normolipidemic. Moreover, dyslipidemic patients have higher lipid indices (ratios) than the normolipidemic group. Significant increases ([Formula: see text] 0.001) in serum urea and creatinine levels were found among the dyslipidemic group compared to normolipidemic. There was a non-considerable decrease ([Formula: see text] 0.062) in serum total protein in the dyslipidemic group concerning the normolipidemic. In contrast, a considerable decrease ([Formula: see text] 0.045) in serum albumin was detected in the dyslipidemic group compared to normolipidemic. D-dimer, serum C-reactive protein, ferritin, and interleukin-6 were significantly increased ([Formula: see text] 0.001) in the dyslipidemic group compared to normolipidemic.

CONCLUSION:

Dyslipidemia potentially raises the severity of coronavirus disease 2019. There was a significant disturbance in renal function tests among coronavirus disease 2019 patients. The study found a significant and statistical difference in kidney functions between dyslipidemic and normolipidemic groups. The patients, especially the dyslipidemic ones, have experienced protein abnormalities and a significant inflammation rate reflected by higher C-reactive protein and interleukin-6, which is due to the severity of coronavirus disease 2019. It is possible to conduct more research with a larger sample size. The majority of people who have dyslipidemia need to be enlightened.

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Publication Date
Sat Jun 21 1930
Journal Name
College Of Islamic Sciences
Quelques raisons du total et son impact sur l'interprétation du Coran: Study of explanatory models
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The reasons for the totality are varied and multiple, some of which are attributed to the methods of the Arabic language as the participant
Verbal and omnipotent differences in the oud of conscience, which are comprehensive reasons for language in all
And some of these reasons are due to the sciences of the Qur'an, such as cessation and initiation
The explanation of the explanation for the multiplicity of words and differences in them, which necessarily led to a dispute jurisprudence
Linked to the origin of disagreement in the interpretation of the totality and its orientation and understanding and to summarize this subject and diverge
Parts and vocabulary did not receive the necessary care and did not absorb the lesson an

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Publication Date
Sun Dec 01 2019
Journal Name
Baghdad Science Journal
Extraction, Purification and Characterization of Peroxidase from Pseudomonas aeruginosa and Utility as Antioxidant and Anticancer
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Sat Oct 01 2022
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Removal of copper ions from contaminated groundwater using waste foundry sand as permeable reactive barrier
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Thu Jan 03 2019
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International Journal Of Civil Engineering And Technology (ijciet)
Condition Prediction Models of Deteriorated Trunk Sewer Using Multinomial Logistic Regression and Artificial Neural Network
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Sewer systems are used to convey sewage and/or storm water to sewage treatment plants for disposal by a network of buried sewer pipes, gutters, manholes and pits. Unfortunately, the sewer pipe deteriorates with time leading to the collapsing of the pipe with traffic disruption or clogging of the pipe causing flooding and environmental pollution. Thus, the management and maintenance of the buried pipes are important tasks that require information about the changes of the current and future sewer pipes conditions. In this research, the study was carried on in Baghdad, Iraq and two deteriorations model's multinomial logistic regression and neural network deterioration model NNDM are used to predict sewers future conditions. The results of the

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Thu May 25 2017
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Complete Genome Sequence of Lytic Bacteriophage VPUSM 8 against O1 El Tor Inaba Vibrio cholerae
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Synthesis and Characterization of Some New Nucleoside Analogues from Substituted Benzimidazole via 1,3-Dipolar cycloaddition
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Diesel Engine Efficiency under Varying Loads and Engine Oil Contaminated with Safe levels of Glycol
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Sun Jan 01 2017
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Topical Therapy of Acute Cutaneous Leishmaniasis Using Zinc Sulphate Solution 25% versus Podophyllin Solution 25%
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Mon Sep 30 2019
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What agreed word and differed from        Fundamentalist terms        Between my school of speakers and jurists
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