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Prediction of adverse clinical outcomes in patients with coronavirus disease 2019

Si Shi1, Xiaohui Liu1, Jinling Xiao1

  • 1The Respiratory Department, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.

Journal of Clinical Laboratory Analysis
|September 29, 2020
PubMed

Insights

High levels of interleukin-6 and neutrophils-to-lymphocytes ratio (NLR) at admission can predict poor outcomes in COVID-19 patients. These findings aid in early identification and intervention to reduce mortality.

Area of Science:

  • Medical laboratory science
  • Infectious disease research
  • Critical care medicine

Background:

  • Coronavirus disease (COVID-19) presents with diverse clinical manifestations.
  • Identifying early predictors of severe outcomes is crucial for patient management.
  • Laboratory findings offer potential insights into disease severity.

Purpose of the Study:

  • To investigate blood and biochemical laboratory findings in COVID-19 patients.
  • To identify predictors of poor prognosis in COVID-19.
  • To analyze the utility of specific biomarkers for outcome prediction.

Main Methods:

  • Retrospective analysis of clinical and laboratory data from 87 COVID-19 patients.
  • Division of patients into adverse prognosis (ICU admission or death) and non-adverse prognosis groups.
  • Univariate and multivariate analyses to identify significant predictors of poor outcome.

Main Results:

  • Univariate analysis identified age, WBC count, neutrophil count, lymphocyte count, NLR, IL-6, AGR, albumin, LDH, GGT, and glucose as significant predictors.
  • Multivariate analysis revealed NLR (OR=2.741) and IL-6 (OR=1.405) as independent predictors of poor outcome.
  • ROC curve analysis showed high AUC values for NLR (0.883) and IL-6 (0.852).

Conclusions:

  • Elevated NLR and IL-6 levels upon admission are significant predictors of poor outcomes in COVID-19.
  • These biomarkers can facilitate timely identification of high-risk patients.
  • Early intervention based on these predictors may help reduce COVID-19 patient mortality.
Abstract

Keywords:
Confusion-Urea-Respiratory Rate-Blood pressure-65coronavirus disease-2019interleukin-6neutrophil-to-lymphocyte ratioprognosis factors

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