Clinical value of immune-inflammatory parameters to assess the severity of coronavirus disease 2019

Zhe Zhu1, Ting Cai2, Lingyan Fan3

  • 1Department of Blood Transfusion, HwaMei Hospital, University of Chinese Academy of Sciences, Ningbo, PR China; Ningbo Institute of Life and Health Industry, University of Chinese Academy of Sciences, Ningbo, PR China.

Insights

High levels of interleukin-6 (IL-6), C-reactive protein (CRP), and hypertension are key indicators for assessing COVID-19 severity. These factors, particularly IL-6, show significant predictive value in risk models for severe coronavirus disease 2019.

Area of Science:

  • Immunology
  • Infectious Diseases
  • Clinical Medicine

Background:

  • Coronavirus disease 2019 (COVID-19) poses a significant global health challenge.
  • Assessing disease severity is crucial for effective patient management and resource allocation.
  • Immune-inflammatory markers are being investigated for their role in COVID-19 pathogenesis.

Purpose of the Study:

  • To evaluate the clinical utility of immune-inflammatory markers in determining COVID-19 severity.
  • To identify independent risk factors associated with severe outcomes in COVID-19 patients.

Main Methods:

  • A cohort of 127 hospitalized COVID-19 patients was analyzed.
  • Patients were categorized into non-severe and severe groups.
  • Demographic, clinical, and laboratory data, including immune markers, were assessed for predictive value.

Main Results:

  • Interleukin-6 (IL-6), C-reactive protein (CRP), and hypertension were identified as independent risk factors for severe COVID-19.
  • A risk model incorporating IL-6, CRP, and hypertension demonstrated the highest predictive accuracy (highest AUROC).
  • Elevated baseline IL-6 correlated with other inflammatory markers and disease progression.

Conclusions:

  • High IL-6, CRP levels, and hypertension are significant predictors of COVID-19 severity.
  • A risk model based on these factors offers robust predictability for severe disease.
  • IL-6 is pivotal in COVID-19 severity and valuable for monitoring severe cases.
Abstract