Implications of a Race Term in Glomerular Filtration Rate (GFR) Estimates Used to Predict Acute Kidney Injury (AKI) After Coronary Intervention
Authors' conclusion
Incorporating a GFR estimate without a Black race term into the NCDR AKI risk prediction model yielded more accurate prediction of AKI risk for Black patients, which has important implications for reducing disparities and benchmarking.
Study context
- Population
- Patients undergoing percutaneous coronary intervention (PCI) in 2020, National Cardiovascular Data Registry (NCDR) CathPCI registry
- Participants
- 455,806 PCI encounters
- Exposure
- AKI risk models using GFR equations with vs without a race term, or serum creatinine alone
- Outcome
- Performance of AKI risk models (2014 NCDR AKI model) predicting AKI after PCI
Methodological detailsregistry-based (NCDR CathPCI)
- Registry-based (NCDR CathPCI)
Main finding
As reported in the abstract
Calibration in Black patients (intercept)
| Group | Calibration intercept |
|---|---|
| Race-agnostic | −0.01 |
| Race term | 0.15 |
Calibration intercept
Race-agnostic−0.01
Race term0.15
- Race-agnostic models reclassified Black patients into higher-risk categories
- 6%
- With a race-agnostic model, AKI occurred in Black patients more often than expected
- 18%
Observational data: associations, not effects.
Original publication
Implications of a Race Term in GFR Estimates Used to Predict AKI After Coronary Intervention. JACC Cardiovasc Interv. Published 25 September 2023. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →