Abstract 16276: A Web-based Tool for Predicting Acute Kidney Injury in ST-elevation Myocardial Infarction

ST-elevation myocardial infarction (STEMI) requires emergent diagnostic catheterization and therapeutic percutaneous coronary intervention. These therapies may cause acute kidney injury (AKI), a serious procedural complication that contributes to morbidity and mortality in STEMI patients. Identifying patients at risk for renal complications may save lives and reduce healthcare costs, but there is no validated tool for predicting AKI in STEMI patients. Methods: The UT-Methodist STEMI program is a racially diverse series of 1144 consecutive patients. We derived and validated the UT-AKI score to predict the risk of AKI in patients referred for STEMI (and not currently on dialysis). AKI was categorized by the modified AKI Network and RIFLE indices. The UT-AKI score was derived from logistic regression analysis performed on a randomly selected derivation dataset using variables with significant univariate relationships to AKI and markers of renal function. Receiver operator characteristic (ROC) curves for the ...