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Publication Name World Journal of Critical Care Medicine
Manuscript ID 114318
Country United States
Category Critical Care Medicine
Manuscript Type Retrospective Cohort Study
Article Title Predicting acute kidney injury in septic shock patients using inflammatory indices in the intensive care unit
Manuscript Source Invited Manuscript
All Author List Jackson Rajendran, Song-Peng Ang, Maria Jose Lorenzo-Capps, Carlos Valladares, Eunseuk Lee, Veera Jayasree Latha Bommu, George Altarcha, Svitlana Pominov, Bryan Gregory, Jia Ee Chia and Jose Iglesias
Funding Agency and Grant Number
Corresponding Author Jose Iglesias, FASN, Department of Internal Medicine, Hackensack Meridian School of Medicine, 123 Metro Blvd, Nutley, NJ 07110, United States. jiglesias23@gmail.com
Key Words Acute kidney injury; Septic shock; Inflammatory indices; eICU Collaborative Research Database; Principal component analysis; Machine learning; Neutrophil-to-lymphocyte ratio; Systemic immune-inflammation index; Aggregate index of systemic inflammation; Monocyte-to-lymphocyte ratio
Core Tip Composite inflammatory markers are elevated in patients who develop acute kidney injury. However, due to heterogeneity of septic shock, multicollinearity and nonlinear relationships, these markers alone offer limited incremental predictive value. Neural network models further expounded the contribution of both clinical factors and the combined inflammatory/metabolic dimension to accurate acute kidney injury prediction, capturing complex interactions and non-linear relationships not evident in traditional regression models. Implementation of supervised and unsupervised machine learning together may offer further insights.
Citation Rajendran J, Ang SP, Lorenzo-Capps MJ, Valladares C, Lee E, Bommu VJL, Altarcha G, Pominov S, Gregory B, Chia JE, Iglesias J. Predicting acute kidney injury in septic shock patients using inflammatory indices in the intensive care unit. World J Crit Care Med 2026; In press
Received
2025-09-16 08:12
Peer-Review Started
2025-09-16 08:12
First Decision by Editorial Office Director
2025-10-29 09:20
Return for Revision
2025-10-29 09:20
Revised
2025-11-17 04:42
Publication Fee Transferred
Second Decision by Editor
2026-01-28 02:40
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director
2026-01-28 11:01
Articles in Press
2026-01-28 11:01
Edit the Manuscript by Language Editor
Typeset the Manuscript
ISSN 2220-3141(online)
Open Access This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
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