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BACKGROUND Acute kidney injury (AKI) after trauma is a major complication independently associated with a prolonged hospital stay and increased mortality. We previously reported that the prehospital systolic blood pressure (SBP) and early hospital arterial lactate level, along with specific cut-off values, show good performance in the early prediction of AKI using AUC-ROC [1]. The purpose of this study was to prospectively validate whether or not these parameters are predictive of newly occurring AKI after trauma. METHODS This was a prospective review of trauma patients who were admitted to a single trauma center from January to December 2019. Patients who were

The purpose of this study is to report the prevalence of acute kidney injury (AKI) after trauma in our center, describe the risk factors associated with AKI, and determine whether these risk factors help avoid AKI.We retrospectively analyzed the data which were prospectively collected from a single center trauma registry from January 2017 to December 2018. Patients who were16 years of age, patients with burns, and patients with chronic kidney disease were excluded from the present study. AKI was defined according to the risk, injury, failure, loss of the kidney function, and end-stage kidney disease (RIFLE) classification from serum creatinine alone. A logistic regression analysis was performed to identify prehospital and early hospital risk factors for AKI.There were 806 trauma patients recorded in the database. One hundred thirty cases were excluded based on the abovementioned exclusion criteria. Six hundred seventy-six patients were included in the analysis. The prevalence of AKI in the overall population was 14.5% including 10.5% of patients with stage R, 3.0% of patients with stage I and 1.0% with stage F. The incidence of AKI increased to 36.3%, 12.1% and 3.3% in the subgroup of patients with hemorrhagic shock. The multivariate analysis revealed that the minimum prehospital systolic blood pressure and arterial lactate level were independent predictors of AKI. The model showed good discrimination with an area under the receiver operating characteristic curve (AUC-ROC) of 0.867 and 0.852 in the prediction of AKI stage I or F. The cutoff values were ≤126 mmHg and ≥2.5 mmol/L, respectively.These parameters showed good performance in the early prediction of AKI after trauma. They are associated with the early onset of AKI after trauma and may be an early predictor of the effects of treatment to prevent AKI.