Analysis of Biochemical Markers to Predict Disease Severity in Hospitalized Covd-19 Patients, Pune

ABSTRACT

Background: Severe acute respiratory syndrome coronavirus 2 (SARS CoV-2), which causes coronavirus disease 2019 (COVID-19), has swiftly grown into a pandemic. Despite extensive research, the function of numerous haematological and biochemical markers in prognosis remains unknown. There have been scientific papers in the Indian setting that describe demographics, clinical characteristics, hospital course, morbidity, and death in COVID-19 patients, however the numbers are limited. The current study provided us with a better understanding of the disease development and progression in COVID-19 patients, as well as the factors that determine disease severity. Method(s) This study was carried out at a COVID-19 tertiary care facility at Dr. D. Y Patil Medical College, Hospital and Research Centre, Pune. The demographic and clinical information, laboratory parameters of admitted COVID-19 patients were collected were subsequently analysed. Result(s) The mean (SD) age of COVID 19 patients was 48.21(16.37) years. The total number of COVID-19 patients with mild disease was 273 (45.27%), moderate disease was 177 (29.35%), and severe disease was 153 (25.37%). The Serum urea, serum AST, Serum total bilirubin, Serum Conjugated Bilirubin, Serum Unconjugated bilirubin, serum LDH, Serum CRP and Serum Ferritin were differ significantly between mild, moderate, and severely ill COVID-19 cases. Conclusion(s) In conclusion the study revealed the role of numerous biochemical indicators in the severity of COVID-19, as well as the order of effectiveness among the markers. Our findings suggested that LDH and CRP levels were a promising biomarker for predicting COVID-19 severity. Copyright © 2022 Ubiquity Press. All rights reserved.