Can Renal Parameters Predict the Mortality of Hospitalized COVID-19 Patients?

Eli Zolotov1, Anat Sigal2, Martin Havrda3

  • 1Internal Medicine Department, Faculty Hospital Královské Vinohrady, Prague, Czechia, elizolotov@gmail.com.

Insights

COVID-19 patients with abnormal kidney function, including acute kidney injury (AKI) and chronic kidney disease (CKD), faced significantly higher mortality rates. Estimated glomerular filtration rate (eGFR) on admission effectively predicted mortality, outperforming C-reactive protein (CRP).

Area of Science:

  • Nephrology
  • Infectious Diseases
  • Critical Care Medicine

Background:

  • COVID-19 infection poses significant risks to hospitalized patients.
  • Kidney function impairment is a critical factor influencing COVID-19 outcomes.
  • Assessing renal parameters for mortality prediction in COVID-19 is crucial.

Purpose of the Study:

  • To investigate the predictive value of renal parameters for mortality in hospitalized COVID-19 patients.
  • To analyze the association between acute kidney injury (AKI) and chronic kidney disease (CKD) with COVID-19 mortality.
  • To evaluate estimated glomerular filtration rate (eGFR) on admission as a mortality predictor.

Main Methods:

  • Retrospective cohort study of 680 adult COVID-19 patients.
  • Analysis of basic laboratory values, urinalysis, comorbidities, and survival.
  • Classification of renal function using RIFLE, KDIGO criteria, and eGFR on admission.

Main Results:

  • Mortality rates were significantly higher in AKI (37.2%) and CKD (32.3%) groups compared to normal renal function (9.4%).
  • Mortality increased progressively with renal damage severity (9.4% to 62.8%).
  • eGFR on admission demonstrated strong predictive capability for mortality (AUC 0.7053), surpassing CRP (AUC 0.6053).

Conclusions:

  • Abnormal renal function triples mortality risk in COVID-19 patients.
  • Renal damage is associated with prolonged and complicated hospitalization.
  • eGFR on admission serves as an excellent, independent predictor of mortality in COVID-19.
Abstract

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