Perioperative medicine & outcomes
Preoperative risk prediction models for acute kidney injury after noncardiac surgery: an independent external validation cohort study
Authors' conclusion
We identified three models with fair discrimination and potential clinical utility after recalibration for assessing the risk of acute kidney injury after noncardiac surgery.
Study context
- Population
- Patients undergoing a wide range of noncardiac surgeries with perioperative creatinine measurements at a large Chinese hospital, January 2019 to October 20229 models evaluated
- Participants
- 13,186 patients
- Comparison
- Nine published preoperative acute kidney injury (AKI) risk prediction models
- Outcome
- Model performance for postoperative AKI (KDIGO creatinine criteria): discrimination (AUROC), calibration, clinical utility (net benefit)
Methodological detailssystematic literature search and retrospective cohort, independent external validation, single-centre, recalibration (intercept and slope updates), sensitivity analysis
- Systematic literature search and retrospective cohort
- Independent external validation
- Single-centre
- Recalibration (intercept and slope updates)
- Sensitivity analysis
Performance
As reported in the abstract
Model performance
Postoperative AKI incidence (650 patients)
4.9%
Further findings
Sensitivity analysis (patients without postoperative creatinine included as non-AKI)
- Results confirmed
Original publication
Preoperative risk prediction models for acute kidney injury after noncardiac surgery: an independent external validation cohort study. Br J Anaesth. Published 24 March 2024. doi:10.
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