A pair of updated scoring models for estimating a patient’s risk for contrast-associated acute kidney injury during and immediately after percutaneous coronary intervention (PCI) worked better than a widely used prior version in initial validation testing using data collected at a single US tertiary-care hospital. One of the two new algorithms, which both predict a patient’s risk for developing acute kidney injury (AKI) as a result of receiving iodinated contrast media within 48 hours of a PCI, relies on eight easily available variables taken from a patient’s medical record just prior to undergoing PCI: age, type of coronary disease (ranging from asymptomatic or stable angina to ST-segment elevation MI), estimated glomerular filtration rate, left ventricular ejection fraction, diabetes, hemoglobin, basal glucose, and heart failure. This risk score accounted for 72% (a C-statistic of 0.72) of the observed AKI episodes during the derivation phase, which used data from 14,616 consecutive Mount Sinai patients who underwent PCI during January 2012–December 2017.
Source: Medscape