Establishment and validation of the prediction model based on lymphocyte subsets for acute kidney injury in sepsis patients

Peripheral blood lymphocyte subsets are significantly altered in patients who develop SA-AKI and can serve as potential early biomarkers. The developed predictive model based on clinical and immunological parameters demonstrated robust performance in identifying patients at high risk of SA-AKI, offering a practical tool for early warning and clinical decision-making.

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Publication Details

Journal
Frontiers in Immunology
Published
2025-09-25
DOI
https://doi.org/10.3389/fimmu.2025.1674673
Primary Topic
Sepsis Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

Establishment and validation of the prediction model based on lymphocyte subsets for acute kidney injury in sepsis patients

Changdong Wu, Qi Liu, Leyi Wang, Ming Hou et al.
Frontiers in Immunology
Sepsis Diagnosis and Treatment
article

Establishment and validation of the prediction model based on lymphocyte subsets for acute kidney injury in sepsis patients

Changdong Wu, Qi Liu, Leyi Wang, Ming Hou, Zhiwei Li
article en

Abstract

Peripheral blood lymphocyte subsets are significantly altered in patients who develop SA-AKI and can serve as potential early biomarkers. The developed predictive model based on clinical and immunological parameters demonstrated robust performance in identifying patients at high risk of SA-AKI, offering a practical tool for early warning and clinical decision-making.

Frontiers in ImmunologyVol. 16
People's Hospital of Xinjiang Uygur Autonomous Region (CN)
Openalex Percentile: Top 64%
Sepsis Diagnosis and Treatment
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