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Related Experiment Video

Updated: Jul 21, 2025

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Risk Factors of Mortality in Hospitalized Patients With COVID-19 Applying a Machine Learning Algorithm.

Irene Nieto-Codesido1, Uxio Calvo-Alvarez1, Carmen Diego1

  • 1Department of Respiratory Medicine, University Hospital of Ferrol, Spain.

Open Respiratory Archives
|July 27, 2023
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Summary

Age, D-Dimer, White Blood Cell count, Sodium, CRP, and creatinine levels are key indicators for identifying COVID-19 patients at high risk of mortality. These factors aid in clinical decision-making for better resource allocation.

Keywords:
AgeGenderMachine learningPrognosisSeverity

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Area of Science:

  • Medical research
  • Clinical diagnostics
  • Epidemiology

Background:

  • Effective risk stratification for COVID-19 patients is crucial for clinical decision-making and resource optimization.
  • Identifying key predictive factors for mortality can improve patient outcomes.

Purpose of the Study:

  • To identify routinely tested clinical and analytical parameters that predict the highest risk of mortality in hospitalized COVID-19 patients.
  • To stratify patients into high- and low-risk groups based on these parameters.

Main Methods:

  • Retrospective, multicentric cohort study of 1246 hospitalized COVID-19 patients.
  • Utilized random forest with permutation methods and k-groups clustering for risk stratification.
  • Analyzed demographic, clinical, analytical, and radiological data.

Main Results:

  • 13% of patients (168 out of 1246) died during the study period.
  • High levels of age, D-Dimer, White Blood Cell count, Sodium, CRP, and creatinine were identified as predictors of mortality.
  • Patients were stratified into high- and low-risk groups.

Conclusions:

  • Age is a primary predictor of mortality in SARS-CoV-2 infection.
  • Acute phase reactants and blood cellularity significantly impact mortality risk.
  • These findings support the use of routine clinical and analytical parameters for COVID-19 risk stratification.