Predicting acute kidney injury in septic shock patients using inflammatory indices in the intensive care unit

In ICU patients with septic shock, composite inflammatory indices are elevated in those who develop AKI and may serve as important markers of risk. However, after accounting for multicollinearity and confounding, these markers alone offer limited incremental predictive value over traditional clinical and laboratory risk factors.

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Publication Details

Journal
World Journal of Critical Care Medicine
Published
2026-02-27
DOI
https://doi.org/10.5492/wjccm.v15.i1.114318
Primary Topic
Inflammatory Biomarkers in Disease Prognosis
Type
article
Field-Weighted Citation Impact
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article

Predicting acute kidney injury in septic shock patients using inflammatory indices in the intensive care unit

SVITLANA POMINOV, CARLOS VALLADARES, Eunseuk Lee, Iksung Cho et al.
World Journal of Critical Care Medicine
Inflammatory Biomarkers in Disease Prognosis
article

Predicting acute kidney injury in septic shock patients using inflammatory indices in the intensive care unit

SVITLANA POMINOV, CARLOS VALLADARES, Eunseuk Lee, Iksung Cho, Bryan Gregory, Jackson Rajendran, Maria Jose Lorenzo-Capps, Song-Peng Ang, Veera Jayasree Latha Bommu, Jose Iglesias, George Altarcha
article en

Abstract

In ICU patients with septic shock, composite inflammatory indices are elevated in those who develop AKI and may serve as important markers of risk. However, after accounting for multicollinearity and confounding, these markers alone offer limited incremental predictive value over traditional clinical and laboratory risk factors.

World Journal of Critical Care MedicineVol. 15(1)
Texas Tech University (US), University of Arizona (US), The University of Texas at El Paso (US), Rutgers Sexual and Reproductive Health and Rights (NL), Advanced Memory Research Institute of New Jersey (US), Hackensack Meridian Health (US), Center for Discovery (US), Texas Tech University Health Sciences Center (US)
Openalex Percentile: Top 40%
Inflammatory Biomarkers in Disease Prognosis
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