European Journal of Molecular & Clinical Medicine

Abstract

Background:COVID-19 disease caused by novel beta (β) coronavirus eventually has
variable clinical presentation requiring intensive care unit (ICU) admission and
mechanical ventilation. Identification and stratification of predictors of COVID-19
disease severity in an effort to guide medical management is a challenging issue.
Materials and Methods: The data from 200 patients diagnosed as COVID-19 and
admitted in tertiary care hospital between August 2020 and January 2020 were
retrospectively analyzed. They were divided into two groups according to ICMR
guidelines severity of COVID-19 as non-severe (n = 100) and severe (n = 100).
Demographic data, comorbidities, COVID test results, laboratory values, Lactate
Dehydrogenase (LDH)/Lymphocyte ratio at the time of admission, were recorded. The
comparison of laboratory test results in both groups were done using Z test. The
diagnostic power of LLR in differentiating severity of COVID-19 and Cut off values of
all the parameters for severe and non-severe group were analyzed statistically using
ROC.