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Objective:To investigate the predictive value of serum uric acid/albumin ratio (sUAR) for acute kidney injury (AKI) after cardiac valve surgery.Methods:The clinical data of adult patients undergoing cardiac valve surgery under cardiopulmonary bypass from January 2021 to December 2021 from the Heart Center of Henan Provincial People's Hospital were collected retrospectively, and the sUAR was calculated. All patients were divided into AKI group and non-AKI group according to whether AKI occurred within 7 days after cardiac valve surgery, and the differences of clinical data between the two groups were compared. Multivariate logistic regression model was used to analyze the independent correlation factors of AKI after cardiac valve surgery. The receiver operating characteristic (ROC) curve was used to evaluate the performance of relevant indicators.Results:A total of 422 patients were enrolled, including 194 females (46.0%), 141 hypertension patients (33.4%) and 172 atrial fibrillation patients (40.8%). They were 57 (50, 65) years old. Their sUAR was 8.13 (6.57, 9.54) μmol/g, and hemoglobin was 135 (125, 145) g/L. There were 142 cases in AKI group and 280 cases in non-AKI group, and the incidence of AKI after cardiac valve surgery was 33.6%. Age, atrial fibrillation rate, baseline serum creatinine, N terminal pro B type natriuretic peptide, serum urea,serum uric acid, blood glucose and sUAR were higher in the AKI group than those in the non-AKI group (all P<0.05), and estimated glomerular filtration rate, lymphocyte count,hemoglobin and serum albumin were lower in the AKI group than those in the non-AKI group (all P<0.05). The median cardiopulmonary bypass time of patients in the AKI group was slightly longer than that in the non-AKI group, but the difference was not statistically significant [159 (125, 192) min vs. 151 (122, 193) min, Z=-0.797, P=0.426], and there were no statistically significant differences in other indicators between the two groups. The results of multivariate logistic regression analysis showed that sUAR ( OR=1.467, 95% CI 1.308-1.645, P<0.001), age ( OR=1.045, 95% CI 1.020-1.072, P<0.001), atrial fibrillation ( OR=2.520, 95% CI 1.580-4.020, P<0.001), hemoglobin ( OR=0.984, 95% CI 0.971-0.997, P=0.015) were the independent correlation factors. ROC curve analysis showed that the area under the curve ( AUC) of sUAR predicting AKI after cardiac valve surgery was 0.710 (95% CI 0.659-0.760, P<0.001) with a sensitivity of 85.2% and specificity of 45.0% for the sUAR cut-off point of 7.28 μmol/g. The AUC for the diagnosis of AKI after cardiac valve surgery was 0.780 (95% CI 0.734-0.825, P<0.001) with a sensitivity of 72.5% and specificity of 71.8% for the combination of sUAR with age, hemoglobin and atrial fibrillation. Conclusions:For patients undergoing cardiac valve surgery under cardiopulmonary bypass, preoperative high sUAR is an independent risk factor for postoperative AKI, and sUAR has a certain predictive value for postoperative AKI.
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Objective:To explore the risk factors of poor renal prognosis in patients with coronary artery bypass surgery (CABG)-associated acute kidney injury (AKI), and establish a preliminary clinical risk prediction model for chronic kidney disease (CKD) progression in CABG-associated AKI patients, and evaluate its predictive efficacy.Methods:It was a retrospective, observational cohort study. The study subjects were patients who underwent CABG at Central China Fuwai Hospital from January 1, 2018 to December 31, 2020, with a baseline estimated glomerular filtration rate (eGFR)>60 ml·min -1·(1.73 m 2) -1 and postoperative complication of AKI. The patients were followed up for 90 days after discharge from hospital. The endpoint event was defined as progression to CKD after 90 days of the occurrence of CABG-associated AKI. The patients were divided into CKD group and non-CKD group based on whether they experienced endpoint events. The baseline clinical data were compared between the two groups. The logistic regression model was used to analyze the risk factors of endpoint event. The receiver-operating characteristic curve was drawn to evaluate the performance of the clinical risk prediction model for predicting poor renal prognosis in CABG-associated AKI patients. Results:A total of 124 CABG-associated AKI patients were enrolled in the study, including 95 males and 29 females, aged (62.57±9.61) years old. Thirty-eight patients (30.8%) progressed to new-onset CKD 90 days after CABG-associated AKI. Compared with non-CKD group, CKD group had lower preoperative hemoglobin ( t=2.778, P=0.006) and baseline eGFR ( t=3.603, P<0.001), higher proportion of women ( χ2=10.714, P=0.001), and higher preoperative blood NT-proBNP ( Z=-2.150, P=0.030) and discharged serum creatinine ( Z=-5.290, P<0.001). The multivariate logistic regression analysis results revealed that female ( OR=5.179, 95% CI 1.535-17.477, P=0.008), high preoperative blood NT-proBNP ( OR=1.049, 95% CI 1.004-1.095, P=0.032), low baseline eGFR ( OR=0.928, 95% CI 0.889-0.968, P=0.001), and high serum creatinine at discharge ( OR=1.019, 95% CI 1.009-1.029, P<0.001) were independent influencing factors of CABG-associated AKI to CKD. The clinical risk prediction model including female, preoperative blood NT-proBNP, preoperative baseline eGFR, and serum creatinine at discharge produced a moderate performance for predicting CABG-associated AKI to CKD ( AUC=0.872, 95% CI 0.806-0.939, P<0.001). Conclusion:Patients with CABG-associated AKI are at high risks for new-onset CKD. Female, preoperative high NT-proBNP, preoperative low baseline eGFR and high serum creatinine at discharge can help identify patients with a high risk of CABG-associated AKI to CKD.