Assessment of absolute eosinophil count (AEC) as a prognostic indicator in patients with coronavirus disease (covid-19): A cross sectional study
Madhumathi R, Shilpa TA, Ramakrishnan S, Vallish Shenoy, Vikas N
Coronaviruses are non-segmented positive-stranded RNA viruses with a roughly 30 kb genome surrounded by a protein envelope. Most coronaviruses cause diseases in their particular host species1. Those coronaviruses that can infect humans through cross-species transmission have become an important threat to public health. Two serious coronavirus disease outbreaks have happened in the past two decades: severe acute respiratory syndrome (SARS) in 20032 and Middle East respiratory syndrome (MERS) 3 in 2012. Since December 2019, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) - a segmented RNA virus - has been recognized as the causal factor in a series of severe cases of pneumonia originating in - Wuhan in Hubei province, China - which panned out into a pandemic4 This disease has been named coronavirus disease 2019 (COVID-19) by WHO. SARS-CoV-2 has been shown to cause disease via a mechanism analogous to the SARS coronavirus, with potential damage to vital organs such as lung, heart, liver, and kidney, and infection poses a considerable risk to patients by the high prevalence of pneumonia5. Accumulated evidence suggests that a subgroup of patients with severe COVID-19 could have a dysregulation of the immune response that allows the development of viral hyperinflammation6This state of hyperinflammation is referred to as the ‘Cytokine storm’, which has been linked to as one of the mechanisms causing severe COVID-19 infection7.Absolute Eosinophil Count (AEC) is an established inflammation marker, whose increase in number that reflect systemic inflammatory response, and decrease in number indicates decreased ability of the eosinophilic proteins to fight overwhelming viral response The mechanism of eosinopenia has not been completely understood in COVID-19. It is assumed that eosinopenia is the redistribution result of circulating eosinophils to the infection locus due to the chemotactic effects of increased cytokines 9 Hence this study was done to assess the use of Absolute Eosinophil Count (AEC) as a tool to predict disease severity and prognosticate COVID-19 infection.
Madhumathi R, Shilpa TA, Ramakrishnan S, Vallish Shenoy, Vikas N. Assessment of absolute eosinophil count (AEC) as a prognostic indicator in patients with coronavirus disease (covid-19): A cross sectional study. International Journal of Medicine Research, Volume 6, Issue 2, 2021, Pages 14-17