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Updated: Dec 20, 2025

Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses
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Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses

Published on: November 10, 2023

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Prediction of the Severity of the Coronavirus Disease and Its Adverse Clinical Outcomes

Xiaohui Liu1, Si Shi1, Jinling Xiao1

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

Japanese Journal of Infectious Diseases
|June 2, 2020
PubMed

Insights

Predicting severe COVID-19 is possible using a combination of interleukin-6 (IL-6) levels, absolute lymphocyte count, and age. This joint predictor aids in early identification of critical cases for timely treatment and reduced mortality.

Area of Science:

  • Clinical Medicine
  • Infectious Diseases
  • Laboratory Medicine

Background:

  • Severe coronavirus disease 2019 (COVID-19) presents significant clinical challenges.
  • Identifying predictors for severe COVID-19 is crucial for effective patient management and treatment strategies.

Purpose of the Study:

  • To investigate blood and biochemical laboratory findings in severe COVID-19 patients.
  • To develop a joint predictor for severe COVID-19 likelihood and adverse outcomes.
  • To provide insights for optimizing COVID-19 treatment.

Main Methods:

  • Data collected from 88 laboratory-confirmed COVID-19 patients.
  • Patients categorized into non-severe and critical groups.
  • Univariate and multivariate logistic regression analyses performed.
  • Receiver operating characteristic (ROC) curve analysis utilized.

Main Results:

  • Absolute lymphocyte count, albumin, albumin/globulin ratio, lactate dehydrogenase, IL-6, erythrocyte count, globulin, blood glucose, and age correlated with COVID-19 severity.
  • Age, absolute lymphocyte count, and IL-6 level identified as independent risk factors.
  • Combined IL-6, absolute lymphocyte count, and age showed superior predictive performance over single factors.

Conclusions:

  • A combined predictor of IL-6, absolute lymphocyte count, and age effectively predicts severe COVID-19.
  • Early identification of critically ill patients is facilitated by this predictor.
  • Timely, individualized treatments based on this prediction can reduce mortality.

Keywords:
binary logistic regressioncorona virus disease 2019independent risk factorsjoint predictor

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