Objectives: Severe forms of coronavirus disease 2019 (COVID-19) are characterized by an excessive production of inflammatory cytokines. Activated monocytes secrete high levels of cytokines. Human monocytes are divided into three major populations: conventional (CD14CD16), non-classical (CD14CD16), and intermediate (CD14CD16) monocytes. The aim of this study was to analyze whether the distribution of conventional (CD16) and CD16 monocytes is different in patients with COVID-19 and whether the variations could be predictive of the outcome of the disease.

Methods: We performed a prospective study on 390 consecutive patients referred to the Emergency Unit, with a proven diagnosis of SARS-CoV 2 infection by RT-PCR. Using the CytoDiff™ reagent, an automated routine leukocyte differential, we quantified CD16 and CD16 monocytes.

Results: In the entire population, median CD16 and CD16 monocyte levels (0.398 and 0.054×10/L, respectively) were in the normal range [(0.3-0.7×10/L) and (0.015-0.065×10/L), respectively], but the 35 patients in the intensive care unit (ICU) had a significantly (p<0.001) lower CD16 monocyte count (0.018 × 10/L) in comparison to the 70 patients who were discharged (0.064 × 10/L) or were hospitalized in conventional units (0.058 × 10/L). By ROC curve analysis, the ratio [absolute neutrophil count/CD16 monocyte count] was highly discriminant to identify patients requiring ICU hospitalization: with a cut-off 193.1, the sensitivity and the specificity were 74.3 and 81.8%, respectively (area under the curve=0.817).

Conclusions: Quantification of CD16 monocytes and the ratio [absolute neutrophil count/CD16 monocyte count] could constitute a marker of the severity of disease in COVID-19 patients.

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Source
http://dx.doi.org/10.1515/cclm-2020-1801DOI Listing

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