Prediction model for acute kidney injury after coronary artery bypass grafting: a retrospective study

被引:21
作者
Zhou Yue [1 ]
Guan Yan-meng [2 ]
Lou Ji-zhuang [1 ]
机构
[1] Nanjing Med Univ, Nanjing Hosp 1, Dept Blood Purificat Ctr, Nanjing 210006, Jiangsu, Peoples R China
[2] Weifang Peoples Hosp, Dept Hemodialysis, Weifang 261000, Shandong, Peoples R China
关键词
Acute kidney injury; Coronary artery bypass grafting; Risk factor; Prognosis; GLOMERULAR-FILTRATION-RATE; EUROSCORE II; CHINESE PATIENTS; SURGERY; METAANALYSIS; ASSOCIATION; VALIDATION; MANAGEMENT; MORTALITY; OUTCOMES;
D O I
10.1007/s11255-019-02173-7
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
Background Acute kidney injury (AKI) after coronary artery bypass grafting (CABG) is associated with a less favorable outcome. The aim of this study is to investigate the incidence, mortality and risk factors of AKI after CABG, and to establish a risk prediction model. Methods From January 2016 to June 2018, 541 patients who underwent CABG were enrolled. The clinical characteristics were collected to calculate the incidence and mortality of AKI after CABG. Patients were divided into AKI group and non-AKI group according to the statistical data. The differences of preoperative, intraoperative and postoperative variables between the two groups were comparatively analysed. The risk factors of AKI were obtained by binary logistic stepwise regression analyses using related factors as independent variables. Results The incidence of postoperative AKI in 541 patients was 27.9% (151 cases). The in-hospital mortality in AKI group was higher than that in non-AKI group (5.30% vs 0.00%, P < 0.001). Single factor analysis showed that the risk factors for postoperative AKI including age, BMI, hypertension, cardiac insufficiency, eGFR, serum uric acid level, CABG combined valve operation, cardiopulmonary bypass (CPB), operation time, aortic cross-clamping time, CPB time, mechanical ventilation time and postoperative low cardiac output syndrome. Multivariate regression analysis suggested that age (P = 0.006, OR 2.323), BMI (P = 0.004, OR 2.495), hypertension (P = 0.032, OR 1.712), eGFR (P = 0.002, OR 3.054), CPB time (P = 0.024, OR 1.007) and postoperative low cardiac output syndrome (P = 0.010, OR 2.640) were independent risk factors for AKI. Conclusions AKI is a common complication after CABG and is related to multiple perioperative factors. It is suggested that early recognition of these risk factors and interventions should be carried out in clinical practice. The risk prediction model can be used as a simple tool for predicting postoperative AKI.
引用
收藏
页码:1605 / 1611
页数:7
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