PREDICTION OF POST-COVID COMPLICATIONS IN HUMANS WITH METABOLIC SYNDROME AND ITS COMPONENTS

Journal Title: International scientific journal Science and Innovation - Year 2024, Vol 3, Issue 5

Abstract

This article is devoted to the study of modern diagnostic methods in patients with metabolic syndrome who have had COVID-19. Post-Covid syndrome (PCS), also known as “long COVID,” is a relatively new problem for healthcare professionals in terms of its expected prognosis. To date, its pathogenetic mechanisms have not been fully studied. It is a symptom complex that can affect various human organs and systems, regardless of the severity of the SARS-CoV-2 infection and in all age groups. Purpose of the study: To study modern diagnostic methods in patients with metabolic syndrome who have had COVID-19 Materials and methods. The subjects of the study were 53 patients in the acute period of coronavirus infection caused by COVID-19, who met the criteria for inclusion in the study. Group 1 consisted of 35 people with metabolic syndrome and 18 patients without metabolic syndrome in the acute period of COVID-19. Results of the study: In the 1st group of patients, in relation to the 2nd group, the data on HbA1c was 5.26±0.74, while in the 2nd group it was 8.18±5.02, which is almost 3% higher. Significantly high TG levels were observed in the group with MS (p=0.04) and low HDL (p=0.03). Also, the imbalance in lipid status in patients with MS who had a coronavirus infection was characterized by an increased content of total cholesterol and LPN. Summary: The HOMA index showed the most predictive value in assessing the risk of complications in patients with MS who have had COVID-19

Authors and Affiliations

Mirzaeva U. Z. , Nasirova Kh. K. , Muminova S. U.

Keywords

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  • EP ID EP737617
  • DOI 10.5281/zenodo.11399143
  • Views 9
  • Downloads 0

How To Cite

Mirzaeva U. Z. , Nasirova Kh. K. , Muminova S. U. (2024). PREDICTION OF POST-COVID COMPLICATIONS IN HUMANS WITH METABOLIC SYNDROME AND ITS COMPONENTS. International scientific journal Science and Innovation, 3(5), -. https://europub.co.uk/articles/-A-737617