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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.
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.
Abstract:
COVID-19 is strongly influenced by age and comorbidities. Acute kidney injury (AKI) is a frequent finding in COVID-19 patients and seems to be associated to mortality and severity. On the other hand, the role of kidney dysfunction in COVID-19 is still debated. We performed a retrospective study in a cohort of 174 hospitalized COVID-19 patients in Italy from March 3rd to May 21st 2020, to investigate the role of kidney dysfunction on COVID-19 severity and mortality. Moreover, we examined in depth the relationship between kidney function, age, and progression of COVID-19, also using different equations to estimate the glomerular filtration rate (GFR). We performed logistic regressions, while a predictive analysis was made through a machine learning approach. AKI and death occurred respectively in 10.2% and 19.5%, in our population. The major risk factors for mortality in our cohort were age [adjusted HR, 6.2; 95% confidence interval (CI) 1.8-21.4] and AKI [3.36 (1.44-7.87)], while, in these relationships, GFR at baseline mitigated the role of age. The occurrence of AKI was influenced by baseline kidney function, D-dimer, procalcitonin and hypertension. Our predictive analysis for AKI and mortality reached an accuracy of ≥ 94% and ≥ 91%, respectively. Our study scales down the role of kidney function impairment on hospital admission , especially in elderly patients. BIS-1 formula demonstrated a worse performance to predict the outcomes in COVID-19 patients when compared with MDRD and CKD-EPI.
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