Key result
The CR4EATME3AD3 score was the best predictor of moderate to severe acute kidney injury (stage 2/3) after TAVR (AUC 0.62; OR 1.12; 95% CI 1.01-1.26; p=0.04).
Why the study?
AKI adversely affects outcomes in patients undergoing TAVR, and accurate risk estimation may guide procedural planning and strategies.
Which prediction model best predicts acute kidney injury in patients undergoing TAVR?
Population
559 consecutive patients undergoing TAVR in the Brazilian TAVR registry
Comparison
Comparison of 6 scores to predict post-TAVR AKI
Design
Registry-based study
Authors
Loading...
Offers modest clinical utility for risk-stratifying moderate-to-severe AKI.
Observational (n=559)
Yes
Which prediction model best predicts acute kidney injury in patients undergoing TAVR?
Odds Ratio: 1.12 (95% CI 1.01–1.26)
p-value: p=0.04
Existing contrast-induced AKI prediction models perform poorly for mild AKI after TAVR, though the CR4EATME3AD3 score offers modest predictive value for moderate-to-severe AKI.
Rosa et al. (2021) conducted an observational in Acute kidney injury after transcutaneous aortic valve replacement (n=559). CR4EATME3AD3 score vs. Other AKI prediction scores (contrast material limit score, volume-to-creatinine clearance ratio, ACEF, Mehran models A and B) was evaluated on Acute kidney injury stage 2/3 (OR 1.12, 95% CI 1.01-1.26, p=0.04). The CR4EATME3AD3 score was the best predictor of moderate to severe acute kidney injury (stage 2/3) after TAVR (AUC 0.62; OR 1.12; 95% CI 1.01-1.26; p=0.04).
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: