Cardiothoracic & vascular anesthesia
Combination of urinary biomarkers can predict cardiac surgery-associated acute kidney injury: a systematic review and meta-analysis
Authors' conclusion
The combination of urinary biomarkers measurements leads to good accuracy.
Study context
- Population
- Patients undergoing cardiac surgery95 articles
- Comparison
- Individual and combined urinary biomarkers for predicting cardiac surgery-associated acute kidney injury (AKI)
- Outcome
- Predictive value (AUC) of each individual urinary biomarker at different measurement time points for AKI (KDIGO)
Methodological detailsrandom and mixed effects models, randomised and non-randomised studies, Searched MEDLINE, EMBASE and CENTRAL on 11 November 2022, repeated 3 November 2024
- Random and mixed effects models
- Randomised and non-randomised studies
- Searched MEDLINE, EMBASE and CENTRAL on 11 November 2022, repeated 3 November 2024
Pooled result
As reported in the abstract
AKI prediction by individual urinary biomarkers (highest AUCs)
- Severe CS-AKI, highest AUC
- 0.74 (95% CI 0.68, 0.81)
- Severe CS-AKI, highest AUC ([0.65, 0.82])
- 0.73
- Severe CS-AKI, highest AUC ([0.72, 0.77])
- 0.74
- All stages CS-AKI, intraoperative measurement ([0.67, 0.82])
- 0.75
- All stages CS-AKI, early postoperative measurement ([0.54, 0.92])
- 0.73
Further pooled results
AKI prediction by combinations of urinary biomarker measurements
- All AKI cases, AUC ([0.75, 0.88])
- 0.82
- Severe AKI cases, AUC ([0.79, 0.91])
- 0.85
Original publication
Combination of urinary biomarkers can predict cardiac surgery-associated acute kidney injury: a systematic review and meta-analysis. Ann Intensive Care. Published 29 March 2025. doi:10.
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