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Pneumonia poses the potential for numerous complications that warrant consideration. These complications include the following:
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Related Experiment Video

Updated: Nov 12, 2025

Evaluation of a Reliable Biomarker in a Cecal Ligation and Puncture-Induced Mouse Model of Sepsis
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Prediction of Sepsis in COVID-19 Using Laboratory Indicators.

Guoxing Tang1, Ying Luo1, Feng Lu2

  • 1Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Frontiers in Cellular and Infection Microbiology
|March 22, 2021
PubMed
Summary

This study developed a predictive model for viral sepsis in COVID-19 patients using laboratory data. The model accurately identifies sepsis risk and coagulation disorders, aiming to improve patient outcomes and reduce mortality.

Keywords:
COVID-19artificial intelligencecoagulation functioninflammatory factorsepsis

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Area of Science:

  • Medical research
  • Infectious diseases
  • Critical care medicine

Background:

  • Coronavirus disease 2019 (COVID-19) poses a global health challenge.
  • Sepsis is a common complication in COVID-19 patients, worsening their condition.
  • Early diagnosis and prediction of sepsis risk in COVID-19 are crucial.

Purpose of the Study:

  • To diagnose viral sepsis caused by SARS-CoV-2.
  • To establish an early predictive model for sepsis risk in COVID-19 patients.
  • To analyze laboratory test data for sepsis prediction.

Main Methods:

  • Retrospective analysis of laboratory data from 2,453 COVID-19 patients.
  • Development of predictive models using Extreme Gradient Boosting (XGBoost).
  • Interpretation of results and feature importance using Shapley Additive eXplanation (SHAP).

Main Results:

  • A model using seven coagulation indicators achieved 92.13% AUC for classifying COVID-19 viral sepsis.
  • Another model with eight features predicted COVID-19 coagulation disorders 3.68 days in advance with 92.98% AUC.
  • Coagulation abnormalities are linked to sepsis, with inflammatory factors showing moderate predictive value.

Conclusions:

  • Early sepsis warning in COVID-19 patients is achievable through the developed predictive model.
  • The model can help improve patient prognosis and reduce mortality rates.
  • Coagulation function abnormalities are significant indicators for sepsis prediction in COVID-19.