Novel biomarkers for predicting successful liberation of renal replacement therapy for acute kidney injury: a systematic review
Authors' conclusion
uNGAL moderately predicts short-term RRT liberation, while other biomarkers (e.g., PENK) require further validation.
Study context
- Population
- Critically ill patients with acute kidney injury (AKI) receiving renal replacement therapy (RRT)
- Participants
- 3,020 patients · 16 studies
- Comparison
- Novel biomarkers for predicting successful RRT liberation
- Outcome
- Prediction of successful RRT liberation (pooled ROC-AUC)
Methodological detailsPRISMA, Newcastle-Ottawa quality assessment, Cut-off values varied widely
- PRISMA
- Newcastle-Ottawa quality assessment
- Cut-off values varied widely
Pooled result
As reported in the abstract
Prediction of successful RRT liberation
| Group | AUC |
|---|---|
| Urinary neutrophil gelatinase-associated lipocalin (uNGAL) | 0.766 |
Urinary neutrophil gelatinase-associated lipocalin (uNGAL)
AUC0.766
Further pooled results
uNGAL predictive performance, excluding a study focused on long-term outcomes (sensitivity analysis)
- Pooled AUC, better predictive ability
- 0.801
- I2
- 0%
- Low heterogeneity
Plasma proenkephalin A (PENK) and serum NGAL
- Showed potential; quantitative synthesis limited by study number and heterogeneity
Multivariable models combining novel biomarkers with clinical indicators
- Promising predictive potential; limited number of studies and inconsistent conclusions
Original publication
Novel biomarkers for predicting successful liberation of renal replacement therapy for acute kidney injury: a systematic review. Crit Care. Published 26 May 2025. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →