Risk factors for acute kidney injury following coronary artery bypass graft surgery in a Chinese population and development of a prediction model.
Yang Li, Xuejian Hou, Tao-Shuai Liu, Shijun Xu, Zhuhui Huang, Pengyun Yan, Xiaoyu Xu, Ran Dong
Abstract
BACKGROUND: Acute kidney injury (AKI) after coronary artery bypass graft (CABG) surgery is associated with significant morbidity and mortality. This retrospective study aimed to establish a risk score for postoperative AKI in a Chinese population. METHODS: A total of 1138 patients undergoing CABG were collected from September 2018 to May 2020 and divided into a derivation and validation cohort. AKI was defined according to the Kidney Disease Improving Global Outcomes (KDIGO) criteria. Multivariable logistic regression analysis was used to determine the independent predictors of AKI, and the predictive ability of the model was determined using a receiver operating characteristic (ROC) curve. RESULTS: = 0.372). CONCLUSION: The performance of the prediction model was valid and accurate in predicting KDIGO-AKI after CABG surgery in Chinese patients, and could improve the early prognosis and clinical interventions.