The role of kidney dysfunction in COVID-19 and the influence of age

Edoardo La Porta1,2, Paola Baiardi3, Lorenzo Fassina4

  • 1Division of Nephrology, Dialysis and Transplantation, Scientific Institute for Research and Health Care, IRCCS Istituto Giannina Gaslini, via Gerolamo Gaslini 5, 16147, Genoa, Italy. edoardo01laporta@gmail.com.

Scientific Reports
|May 23, 2022
PubMed

Insights

Acute kidney injury (AKI) and baseline kidney function impact COVID-19 outcomes. Age and AKI are key mortality risks, but baseline kidney function, especially in older adults, may mitigate these effects. Predictive models show high accuracy.

Area of Science:

  • Nephrology
  • Infectious Diseases
  • Geriatrics

Background:

  • Acute kidney injury (AKI) is common in COVID-19 patients, linked to severity and mortality.
  • The specific role of kidney dysfunction in COVID-19 progression remains under investigation.
  • Age and comorbidities are significant factors influencing COVID-19 outcomes.

Purpose of the Study:

  • To investigate the impact of kidney dysfunction on COVID-19 severity and mortality in hospitalized patients.
  • To analyze the interplay between kidney function, age, and COVID-19 progression.
  • To compare different glomerular filtration rate (GFR) estimation equations for predicting COVID-19 outcomes.

Main Methods:

  • Retrospective study of 174 hospitalized COVID-19 patients.
  • Logistic regression analysis for risk factor identification.
  • Machine learning approach for predictive modeling of AKI and mortality.

Main Results:

  • AKI occurred in 10.2% and mortality in 19.5% of the cohort.
  • Major mortality risk factors were age and AKI; baseline GFR modulated the effect of age.
  • Predictive models achieved accuracy of ≥94% for AKI and ≥91% for mortality.
  • BIS-1 formula showed poorer performance compared to MDRD and CKD-EPI for outcome prediction.

Conclusions:

  • Kidney function impairment at admission has a reduced role in COVID-19 severity, particularly in elderly patients.
  • Baseline kidney function and specific biomarkers influence AKI development in COVID-19.
  • Machine learning models offer high accuracy in predicting AKI and mortality in COVID-19 patients.

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