The role of сomplete blood count for predicting the course of coronavirus infection in patients with COVID-19: a systematic review




Keywords: COVID-19, laboratory diagnostics, сomplete blood count, indices of inflammatory processes (NLR, dNLR, PLR, MLR, NLPR, AISI, SIRI, SII), prognosis.


Abstract. The course of coronavirus infection in patients with COVID-19 can cause systemic inflammation of the organism, and dysregulation of the immune system and the hemostasis system. Given the possibility of severe and recurrent cases of SARS-CoV-2 infection, it is imperative for clinicians to find reliable, cost-effective, and at the same time accessible blood-specific parameters that can serve as stratification markers for patients with confirmed COVID-19. The purpose of our review article is to highlight the modern research results on the characteristics of  general clinical hematological parameters (complete blood count) in patients with COVID-19 and their use for predicting the course of the coronavirus infection. We used bibliosemantic, analytical, and logical methods when writing a systematic review, as well as a generalization method. We searched and selected scientific publications by keywords in bibliographic databases, analyzed and summarized the results. The indicators of the general blood analysis (an absolute count of neutrophils, lymphocytes, platelets, and monocytes) allow calculating several newly introduced indices of inflammation, such as NLR, dNLR, PLR, MLR, NLPR, AISI, SIRI, SII. The use of such indices at the stage of hospitalization in patients with confirmed COVID-19 can be used to predict the course of the disease and the probability of a critical condition or lethal outcome.


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Human and Animal Physiology

How to Cite

The role of сomplete blood count for predicting the course of coronavirus infection in patients with COVID-19: a systematic review. (2023). Notes in Current Biology, 6(2).