ArticleInternational urology and nephrology2019
Prediction model for acute kidney injury after coronary artery bypass grafting: a retrospective study.
Article in International urology and nephrology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
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Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Risk factors for acute kidney injury after coronary artery bypass graft surgery: a systematic review and meta-analysis.Frontiers in medicine · 2026Pooled it
- Preoperative Urine Albumin-to-Creatinine Ratio Predicts Acute Kidney Injury After Coronary Artery Bypass Grafting.Saudi medical journal · 2026Article
- Prediction of postoperative acute kidney injury in patients undergoing off-pump coronary artery bypass grafting: A machine learning model.Journal of anesthesia and translational medicine · 2026Article
- NHR and postoperative acute kidney injury after coronary artery bypass grafting: a retrospective cohort study.Scientific reports · 2026Article
- The Relationship between Intraoperative Respiratory Variability of the Inferior Vena Cava Diameter on Transesophageal Echocardiography and Acute Kidney Injury in Patients Undergoing Coronary Artery Bypass Grafting Surgery: A Prospective Multicenter Cohort Study.Annals of cardiac anaesthesia · 2026Article
- Machine learning-based model for the prediction of acute kidney injury following coronary artery bypass graft surgery in elderly Chinese patients.Journal of thoracic disease · 2025Article
- Acute Kidney Injury after Isolated Coronary Bypass Surgery.The International journal of angiology : official publication of the International College of Angiology, Inc · 2025Article
- Machine Learning Based Prediction of Postoperative Acute Kidney Injury Risk in Coronary Artery Bypass Grafting Patients.Clinical interventions in aging · 2025Article
- Factors associated with acute kidney injury after on-pump coronary artery bypass grafting.Journal of cardiothoracic surgery · 2024Article
- Observational
- Machine learning-based prediction of off-pump coronary artery bypass grafting-associated acute kidney injury.Journal of thoracic disease · 2024Article
- Predictors of short-term survival in cardiac valvular surgery patients with intra-aortic balloon pump implantation.General thoracic and cardiovascular surgery · 2024Article
- Postoperative acute kidney injury increases short- and long-term death risks in elderly patients (≥ 75 years old) undergoing coronary artery bypass graft surgery.International urology and nephrology · 2024Article
- Machine-learning predictions for acute kidney injuries after coronary artery bypass grafting: a real-life muticenter retrospective cohort study.BMC medical informatics and decision making · 2023Article
- Prediction of acute kidney injury following coronary artery bypass graft surgery in elderly Chinese population.Journal of cardiothoracic surgery · 2023Article
- Analysis of Risk Factors and Intervention Strategies for Acute Kidney Injury After Cardiac Valve Replacement.Journal of inflammation research · 2023Article
- Change in Oxidative Stress and Mitochondrial Dynamics in Response to Elevated Cold-Inducible RNA-Binding Protein in Cardiac Surgery-Associated Acute Kidney Injury.Oxidative medicine and cellular longevity · 2022Article
- Acute Kidney Injury following Cardiopulmonary Bypass: A Challenging Picture.Oxidative medicine and cellular longevity · 2021Review
- Development of a risk prediction model for acute kidney injury after coronary artery bypass grafting: methodological issues.International urology and nephrology · 2020Article
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Abstract
backgroundAcute 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.
methodsFrom 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.
resultsThe 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.
conclusionsAKI 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.
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