A multimodal predictive model incorporating transcriptomic-guided blood biomarkers and clinical variables for sepsis-associated acute kidney injury

= 0.996; Brier score 0.040) and remained robust in external validation (AUC 0.909). Integrating immune biomarkers with routine clinical parameters may improve early prediction of SA-AKI, although multicenter prospective validation is required.

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Publication Details

Journal
Renal Failure
Published
2026-04-06
DOI
https://doi.org/10.1080/0886022x.2026.2641853
Primary Topic
Acute Kidney Injury Research
Type
article
Field-Weighted Citation Impact
0.00
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article

A multimodal predictive model incorporating transcriptomic-guided blood biomarkers and clinical variables for sepsis-associated acute kidney injury

Zhuan Yan, Weiqin Wu, Xiang Han, Qingsong Sun et al.
Renal Failure
Acute Kidney Injury Research
article

A multimodal predictive model incorporating transcriptomic-guided blood biomarkers and clinical variables for sepsis-associated acute kidney injury

Zhuan Yan, Weiqin Wu, Xiang Han, Qingsong Sun, Lili Gao
article en

Abstract

= 0.996; Brier score 0.040) and remained robust in external validation (AUC 0.909). Integrating immune biomarkers with routine clinical parameters may improve early prediction of SA-AKI, although multicenter prospective validation is required.

Renal FailureVol. 48(1)
Nanjing Medical University (CN)
Peace, Justice and strong institutions
Openalex Percentile: Top 29%
Acute Kidney Injury Research
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A multimodal predictive model incorporating transcriptomic-guided blood biomarkers and clinical variables for sepsis-associated acute kidney injury — Zhuan Yan, Weiqin Wu, et al. · Renal Failure (2026) | TGRS Research Map | TGRS