Jiang F, et al. - In a general intensive care unit (ICU) in China, researchers focused on the epidemiology, risk factors, and predictive factors for ischemic or hemorrhagic stroke-related acute kidney injury (AKI) and mortality using Logistic regression analyses, receiver operating characteristic (ROC) curves, and Cox regression analyses and Kaplan-Meier curves. Overall, 115 (30.18%) patients developed AKI. A significantly increased risk of developing AKI was reported in relation to an increased National Institutes of Health Stroke Scale score and Acute Physiology and Chronic Health Evaluation II score; hypertension; use of loop diuretics; and higher serum cystatin C (sCysC), at ICU admission. For sCysC, 0.772 was the area under the ROC curves for predicting AKI; this value was slightly better compared with that of other biomarkers. Also, sCysC ≥0.93 mg/L enabled a significant prediction of 28-day mortality.