articleFrontiers in Molecular BiosciencesJul 3, 2020GOLD OA

Immune Phenotyping Based on the Neutrophil-to-Lymphocyte Ratio and IgG Level Predicts Disease Severity and Outcome for Patients With COVID-19

Renmin Hospital of Wuhan University · Wuhan University · +4 more institutions

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Abstract

Introduction

A recently emerging respiratory disease named coronavirus disease 2019 (COVID-19) has quickly spread across the world. This disease is initiated by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) and uncontrolled cytokine storm, but it remains unknown as to whether a robust antibody response is related to clinical deterioration and poor outcome in COVID-19 patients.

Methods

Anti-SARS-CoV-2 IgG and IgM antibodies were determined by chemiluminescence analysis (CLIA) in COVID-19 patients at a single center in Wuhan. Median IgG and IgM levels in acute and convalescent-phase sera (within 35 days) for all included patients were calculated and compared between severe and nonsevere patients. Immune response phenotyping based on the late IgG levels and neutrophil-to-lymphocyte ratio (NLR) was characterized to stratified patients into different disease severities and outcomes.

Citation impact

495
total citations
FWCI
11.61
Percentile
100%
References
21
Citations per year

Authors

11

Topics & keywords

Keywords
  • Cytokine storm
  • Coronavirus disease 2019 (COVID-19)
  • Medicine
  • Immunology
  • Disease
  • Immune system
  • Coronavirus
  • Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
UN Sustainable Development Goals
  • Good health and well-being
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Funding