Predictive Biomarkers of Acute Kidney Injury in COVID-19: Distinct Inflammatory Pathways in Patients with and Without Pre-Existing Chronic Kidney Disease

The differential roles of IL-6, NLR, and WBC in predicting AKI onset highlight distinct physiopathological pathways influenced by COVID-19. In CKD+ patients, chronic inflammation and immune dysregulation are key drivers of AKI, with IL-6 and NLR serving as robust markers of this inflammatory state. In contrast, in CKD- patients, AKI may be more influenced by acute inflammatory responses and infectious factors, as reflected by WBC count.

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Publication Details

Journal
Life
Published
2025-04-29
DOI
https://doi.org/10.3390/life15050720
Citations
2
Primary Topic
COVID-19 Clinical Research Studies
Type
article
Field-Weighted Citation Impact
2.79
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article

Predictive Biomarkers of Acute Kidney Injury in COVID-19: Distinct Inflammatory Pathways in Patients with and Without Pre-Existing Chronic Kidney Disease

Nicola Scichilone, Giuseppe Mulè, Giulio Geraci, Katia Montalbano et al.
2 citations
Life
COVID-19 Clinical Research Studies
2.79
article

Predictive Biomarkers of Acute Kidney Injury in COVID-19: Distinct Inflammatory Pathways in Patients with and Without Pre-Existing Chronic Kidney Disease

Nicola Scichilone, Giuseppe Mulè, Giulio Geraci, Katia Montalbano, Alida Benfante, Leonardo Calandra, Alessandra Sorce, Caterina Carollo, Emanuele Cirafici
article en
2 citations

Abstract

The differential roles of IL-6, NLR, and WBC in predicting AKI onset highlight distinct physiopathological pathways influenced by COVID-19. In CKD+ patients, chronic inflammation and immune dysregulation are key drivers of AKI, with IL-6 and NLR serving as robust markers of this inflammatory state. In contrast, in CKD- patients, AKI may be more influenced by acute inflammatory responses and infectious factors, as reflected by WBC count.

LifeVol. 15(5)
Università degli Studi di Enna Kore (IT), Ospedale Vincenzo Cervello (IT), University of Palermo (IT)
Good health and well-being
Openalex Percentile: Top 11%
COVID-19 Clinical Research Studies
2.79
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