Xu FB, et al. - Researchers sought to develop and validate a prediction score for acute kidney injury (AKI) secondary to acute myocardial infarction (AMI) in Chinese patients, for early prevention of AKI. Using data from 6014 hospitalized patients with AMI, a prediction score was created based on odds ratio taken from multivariate logistic regression analysis. Hypertension history, heart rate > 100 bpm on admission, peak serum troponin I ≥ 100 μg/L, and time from admission to coronary reperfusion > 120 min were included in risk score 1 point. Killip classification ≥ class 3 on admission; and maximum dosage of intravenous furosemide ≥ 60 mg/d were included in risks score 2 points, and only shock during hospitalization was included in risks score 3 points. With a sensitivity and specificity of 71.1% and 74.2%, respectively, 3 points was revealed as the best cut-off value for prediction of AKI, by Youden index. Adequate discrimination and satisfactory calibration were shown by datasets of derivation and validation. Overall, the prediction score developed in this study may help to prevent AKI early in this patient population.