Diagnostic value of platelet indices in COVID 19 infection: a case-control study from a single tertiary care center

Arundhathi Shankaralingappa1, Tummidi Santosh2, Thirunavukkarasu Arun Babu3
1Department of Pathology, All India Institute of Medical Sciences (AIIMS), Mangalagiri, Andhra Pradesh, India
2Department of Pathology, All India Institute of Medical Sciences (AIIMS), Kalyani, West Bengal, India
3Department of Pediatrics, All India Institute of Medical Sciences (AIIMS), Mangalagiri, Andhra Pradesh, India

Tóm tắt

Abstract Introduction Platelets are not only involved in hemostasis and coagulation, but play a significant role in innate immunity and inflammatory response. Excess production of cytokines and acute phase reactants affect megakaryopoiesis resulting in the release of immature platelets from the bone marrow altering platelet indices. Aim To study platelet indices in RT-PCR-proven COVID patients and non-COVID patients. Methods A case-control study was conducted on 199 COVID-19 patients and 198 normal individuals. Blood samples were analyzed in an automated hematology analyzer. The platelet indices like platelet count, mean platelet volume (MPV), platelet distribution width (PDW), platelet large cell count (PLCC), and platelet large cell ratio (P-LCR) were compared among two groups. Results Platelet count in COVID-19 patients were significantly low (p<0.01) compared to controls, and a significant number of COVID-19 patients had thrombocytopenia. Plateletcrit (PCT) was also significantly decreased in COVID-19 patients compared to non-COVID individuals. MPV, PDW, and PLCR were significantly (p<0.05) high in COVID-19 patients in comparison to controls, but was not significantly raised in a large number of cases. In contrast, there were no significant differences in platelet large cell count (PLCC) values between COVID-19 cases and non-COVID-19 controls. Conclusion Platelet indices like platelet count, PCT, MPV, PDW, and P-LCR are significantly altered in COVID-19 infection and thereby can be used as biomarkers in COVID-19. Further research is needed to find if these simple, cost-effective parameters can be used to predict the severity and prognosis in COVID-19 infection.

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