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
Abstract
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.
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
- FWCI
- 11.61
- Percentile
- 100%
- References
- 21
Authors
11- BZBicheng Zhang
Renmin Hospital of Wuhan University, Wuhan University
- XZXiaoyang Zhou
Wuhan University, Renmin Hospital of Wuhan University
- CZChengliang Zhu
Wuhan University, Renmin Hospital of Wuhan University
- YSYuxiao Song
Wuhan University, Renmin Hospital of Wuhan University
- FFFan Feng
Wuhan University, Renmin Hospital of Wuhan University
Topics & keywords
- Cytokine storm
- Coronavirus disease 2019 (COVID-19)
- Medicine
- Immunology
- Disease
- Immune system
- Coronavirus
- Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
- Good health and well-being