Complementary role of transcriptomic endotyping and protein-based biomarkers for risk stratification in sepsis-associated acute kidney injury
Authors' conclusion
Combining transcriptomic endotyping with protein-based biomarker profiling enhances risk-stratification in SA-AKI
Study context
- Population
- Critically ill patients meeting Sepsis-3 criteria, sepsis-associated AKI
- Participants
- 167 patients
- Comparison
- Transcriptomic endotyping combined with protein-based biomarkers for risk stratification
- Primary endpoint
- Kidney replacement therapy or death
Methodological detailsvalidated whole-blood gene expression classifier, ROC curve analysis and logistic regression
- Validated whole-blood gene expression classifier
- ROC curve analysis and logistic regression
Primary result
As reported in the abstract
- Endotyping + bio-ADM, AUC for primary endpoint
- 0.80 (95% CI 0.72-0.88)
Further findings
Endotype distribution
7-day mortality
- Endotyping + suPAR, AUC
- 0.85 (95% CI 0.78-0.93)
Biomarker patterns by endotype
- Kidney function biomarkers rose stepwise with AKI severity across all endotypes; NGAL, suPAR and bio-ADM showed endotype-specific differences independent of AKI severity
- NGAL and suPAR disproportionately elevated in IE
- bio-ADM strongest risk-predictor of outcomes in CE
Parts of this Brief are withheld: the automatic checks could not confirm them against the abstract.
Original publication
Complementary role of transcriptomic endotyping and protein-based biomarkers for risk stratification in sepsis-associated acute kidney injury. Crit Care. Published 26 March 2025. doi:10.
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