Analysis of Biochemical and Inflammatory Markers for Predicting COVID-19 Severity: Insights From a Tertiary Healthcare Institution of Eastern India

Background Coronavirus disease-19 (COVID-19) patients often deteriorate rapidly based on viral infection-related inflammation and the subsequent cytokine storm. The clinical symptoms were found to be inconsistent with laboratory findings. There is a need to develop biochemical severity score to clos...

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Bibliographic Details
Published in:	Curēus (Palo Alto, CA) Vol. 15; no. 1; p. e33893
Main Authors:	Kumari, Suchitra, Nayak, Saurav, Tripathy, Swagata, Bhuniya, Sourin, Mangaraj, Manaswini, Ramadass, Balamurugan, Sahu, Suchanda, Bandyopadhyay, Debapriya, Dash, Prakruti, Saharia, Gautom K
Format:	Journal Article
Language:	English
Published:	United States Springer Nature B.V 17.01.2023 Cureus
Subjects:	Algorithms Automation Biochemistry COVID-19 Creatinine Cytokine storm Dehydrogenases Enzymes Epidemiology/Public Health Fatalities Granulocytes Growth factors Immunoassay Infectious Disease Intensive care Internal Medicine Liver Medical laboratories Mortality Patients Phosphatase Population Potassium Proteins Regression analysis Tumor necrosis factor-TNF Uric acid India predictive modelling covid 19 predictive risk factors severity scoring medical icu
ISSN:	2168-8184, 2168-8184
Online Access:	Get full text
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