Risk prediction model of acute kidney injury in geriatric pelvic fracture patients

Abstract

Abstract There is a paucity of information pertaining to the epidemiology and risk factors associated with acute kidney injury (AKI) in geriatric patients diagnosed with pelvic fractures. A retrospective analysis was conducted, employing multivariate analysis and model prediction analysis to identify these factors. A total of 247 pelvic fracture patients were admitted to our trauma centre between January 2021 and December 2021, and of these patients, 78 (31.6%) had AKI. During the study period, a total of 247 pelvic fracture patients were 65 years or older. Among them, 78(31.6%) developed AKI, and 14.3% of patients with AKI underwent Renal replacement therapy (RRT). Multivariate logistic regression showed that hemoglobin (Hb) (OR=0.852, p＜0.001), Albumin(OR = 0.683, p＜0.001), Injury Severity Score (ISS) (OR = 1.442, p＜0.001), Lactate(OR = 24.079, p＜0.001) , Base excess (BE)(OR=0.509, p＜0.001),CK(OR=18.713, p＜0.001), Tile C fractures (OR =10.244, p＜0.001) ,Chest injury(OR=20.272, p＜0.001) were risk factors of AKI in geriatric pelvic fracture patients. Early identification and effective intervention can improve the prognosis of geriatric patients with pelvic fracture.