Identification of Early Biomarkers of Mortality in COVID-19 Hospitalized Patients: A LASSO-Based Cox and Logistic Approach

  • 0Department of Medicine, Section of Internal Medicine D, University of Verona, Policlinico G.B. Rossi, Piazzale L.A. Scuro 10, 37134 Verona, Italy.

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Summary

This summary is machine-generated.

Lactate dehydrogenase (LDH) is a key early predictor of mortality in hospitalized COVID-19 patients. Higher LDH levels, particularly when combined with low P/F ratio and elevated interleukin-10 (IL-10), indicate a higher risk of death.

Area Of Science

  • Biochemistry
  • Immunology
  • Critical Care Medicine

Background

  • Hospitalized COVID-19 patients with pneumonia and acute respiratory failure face significant mortality risks.
  • Early identification of biomarkers is crucial for predicting mortality in severe COVID-19 cases.
  • Clinical, biochemical, iron metabolism, and cytokine parameters are potential indicators.

Purpose Of The Study

  • To identify early biomarkers for mortality prediction in hospitalized COVID-19 patients within 24 hours of admission.
  • To analyze clinical and biochemical parameters, iron metabolism, and cytokines for their predictive value.
  • To determine the strongest predictors of mortality and factors influencing key biomarkers.

Main Methods

  • Retrospective analysis of 80 hospitalized COVID-19 patients (40 survivors, 40 non-survivors).
  • Comparison of clinical data, biochemical parameters (e.g., eGFR, LDH, creatinine), and cytokine levels (e.g., IL-1β, IL-10, IL-8, IL-22).
  • Application of LASSO feature selection, Cox proportional hazards, logistic regression, and linear regression models.

Main Results

  • Non-survivors had shorter time from symptom onset to admission and more severe respiratory failure (lower P/F ratio).
  • Significantly lower eGFR and IL-1β, and higher LDH, IL-10, and IL-8 levels were observed in non-survivors.
  • LDH was the strongest mortality predictor; IL-22 and creatinine (Cox model), and IL-10, eGFR, creatinine (logistic model) were also influential. P/F ratio, IL-10, and eGFR predicted LDH levels.

Conclusions

  • Lactate dehydrogenase (LDH) is a critical early biomarker for predicting mortality in hospitalized COVID-19 patients.
  • The P/F ratio and IL-10 levels are key determinants of elevated LDH, further highlighting their role in disease severity.
  • These findings provide valuable insights for risk stratification and clinical management of severe COVID-19 cases.

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