AN OBSERVATION STUDY TO FIND ASSOCIATION OF INFLAMMATORY BIOMARKERS WITH SEVERITY OF DISEASE AMONG COVID-19 PATIENT ATTENDING A TERTIARY CARE HOSPITAL OF MUMBAI, INDIA

ABSTRACT

Introduction: Covid – 19 caused by SARS-CoV2 was declared a global pandemic on March 11, 2020 by World Health Organization. Complexity of Covid – 19 diseases is centered on its unpredictable clinical course that can rapidly develop, causing severe and fatal complications. The current study was aimed to investigate association between levels of biomarkers with Covid– 19 disease severity to identify patients at risk of fatal complications. Materials and Method’s A Retrospective cross-sectional Hospital based study was undertaken by Department of Medicine at K.J. Somaiya Medical College, Mumbai, India. Adult patients of more than 18 year of age who were admitted with laboratory confirmed diagnosis of Covid – 19 during the period of June and July 2020 were included in the study. Gold-standard diagnosis of Covid – 19 is achieved through molecular identification of SARS-CoV-2 using nucleic acid amplification tests such as the reverse transcriptase quantitative polymerase chain reaction (RT-qPCR) or viral gene sequencing. A total of 500 patients were included, irrespective of age, gender, ethnicity or duration of symptoms of underlying illness. The study was approved by research and ethics regulatory committee of the institution. Data was collected by reviewing the records and of the selected patients. Data was summarized by using descriptive statistics. P value of < 0.05 was considered to be statistically significant. Results: A total of 500 patients were included in the study. The age of these patients ranged from 18 to 61 years with a mean of 37.8 (18.2) years. There was a male preponderance with a male to female ratio of 2.6. Out of 500 patients that we have included in our study, 10 patients had isolated raised D –Dimer. It showed a weak association with severe lung involvement. During the study period, a total of 87 death were observed among the patients included in the study, hence a death rate of 17.4% was observed by the researchers. Conclusion: Severity of lung involvement, Assessment of levels of various biomarkers helps in immediate categorization of patients into risk groups.