BACKGROUND AND METHODOLOGY- The healthcare professionals are at a higher risk of covid 19
infection. The multitude of investigations burdens the laboratory services and often the results do not
correlate with disease progression .We planned to identify the laboratory parameters for early recognition , intervention and
prognostication of covid 19.
AIMS AND OBJECTIVES- The results were categorised according to clinical severity of the disease. The data was analysed
using SPSS vs 25. Using logistic regression , we aimed to nd out which demographic variables and blood tests can accurately
diagnose the severity of infection and also predict the disease outcome.
RESULTS- Severe hypoalbuminemia is associated with severe covid infection. Age > 60, Neutrophil- lymphocyte ratio above 3
and C- reactive protein more than 6mg/l were strong predictors of adverse outcome.
CONCLUSION- These blood tests will decrease the tendency of over investigating without compromising the disease related
information.
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