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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
Sun Oct 20 2024
Journal Name
Ibn Al-haitham Journal For Pure And Applied Sciences
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Publication Date
Thu Apr 27 2023
Journal Name
Journal Of The Faculty Of Medicine Baghdad
Prevalence and Demographic Characteristics of Metabolic Syndrome in Iraqi Patients with Acute Coronary Syndrome
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Prevalence and Characterization of Some Colibactin Genes in Clinical Enterobacteriaceae isolates from Iraqi Patients
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Probabilistic Model building using the Transformation Entropy for the Burr type –xii Distribution
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Entropy define as uncertainty measure has been transfared by using the cumulative distribution function and reliability function for the Burr type – xii. In the case of data which suffer from volatility to build a model the probability distribution on every failure of a sample after achieving limitations function, probabilistic distribution. Has been derived formula probability distribution of the new transfer application entropy on the probability distribution of continuous Burr Type-XII and tested a new function and found that it achieved the conditions function probability, been derived mean and function probabilistic aggregate in order to be approved in the generation of data for the purpose of implementation of simulation

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