Open AccessComparison of hematological parameters in mild and severe COVID-19 infected patients: A retrospective observational study
Author(s) -
Tania Eltrida Pinto,
Rithesh Joseph D’Cunha,
Shan Fernandes,
. Nireeksha,
T Gurumurthy
Publication year - 2021
Publication title -
biomedicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.106
H-Index - 9
ISSN - 0970-2067
DOI - 10.51248/.v41i4.957
Subject(s) - medicine , retrospective cohort study , disease , ferritin , gastroenterology , severity of illness , covid-19 , immunology , infectious disease (medical specialty)
and Aim: With the coronavirus disease 2019 (COVID-19) pandemic raging on, there is a need to identify clinical and laboratory predictors which predict progression towards severe and fatal forms of this illness. Our study aims to evaluate the ability of hematologic and biochemical biomarkers to discriminate between patients with and without severe or fatal forms of COVID-19. Materials and Methods: A retrospective study was conducted on 200 Covid positive patients;100 with mild disease and 100 with severe disease. Medical records were reviewed to collect demographic data and results of the following blood investigations were noted at admission: Hb, Platelet count, Total and Differential leukocyte count, CRP, AST, ALT, LDH, Ferritin and D-Dimer. Comparative analysis was performed between the 2 groups. Results: A significant difference in the basophil count (mean 2.35 and 5.92) among those with mild and severe disease respectively was noted as also with the eosinophil count (mean 6.88 and 1.79). The levels of CRP were higher in those with severe disease as compared to the mild disease group (mean 276.29 and 65.23). Ferritin levels were markedly increased severe disease patients (mean 1275.66 and 533.94). D-dimer was markedly increased in COVID-19 patients with severe disease (mean 3813.91 ng/ml) compared to those with mild disease group (mean 521.78 ng/ml). Conclusion: Hematological and biochemical markers positively correlate to the severity of covid infection, thus highlighting their role in the early diagnosis of the disease and can act as independent markers in predicting severity and prognosis of disease.