There has been a global increase in the incidence of acute kidney injury (AKI), including among\ncritically-ill surgical patients. AKI prediction score provides an opportunity for early detection of patients who are at\nrisk of AKI; however, most of the AKI prediction scores were derived from cardiothoracic surgery. Therefore, we\naimed to develop an AKI prediction score for major non-cardiothoracic surgery patients who were admitted to the\nintensive care unit (ICU).\nMethods: The data of critically-ill patients from non-cardiothoracic operations in the Thai Surgical Intensive Care\nUnit (THAI-SICU) study were used to develop an AKI prediction score. Independent prognostic factors from\nregression analysis were included as predictors in the model. The outcome of interest was AKI within 7 days after\nthe ICU admission. The AKI diagnosis was made according to the Kidney Disease Improving Global Outcomes\n(KDIGO)-2012 serum creatinine criteria. Diagnostic function of the model was determined by area under the\nReceiver Operating Curve (AuROC). Risk scores were categorized into four risk probability levels: low........................
Loading....