Prediction model for acute kidney injury after coronary artery bypass grafting: a retrospective study
Author:
Publisher
Springer Science and Business Media LLC
Subject
Urology,Nephrology
Link
http://link.springer.com/content/pdf/10.1007/s11255-019-02173-7.pdf
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3. Kanchi M, Manjunath R, Massen J et al (2017) Neutrophil gelatinase-associated lipocalin as a biomarker for predicting acute kidney injury during off-pump coronary artery bypass grafting. Ann Card Anaesth 20:297–302
4. Chan MJ, Lee CC, Chen SW et al (2017) Effect of different surgical type of coronary artery bypass grafting on kidney injury: a propensity score analysis. Medicine (Baltimore) 96:e8395
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1. The relationship between tricuspid annular plane systolic excursion on transesophageal echocardiography and the incidence of postoperative acute kidney injury in patients undergoing coronary artery bypass grafting surgery: a multicenter prospective cohort study;BMC Anesthesiology;2024-09-13
2. Machine learning-based prediction of off-pump coronary artery bypass grafting-associated acute kidney injury;Journal of Thoracic Disease;2024-07
3. Predictors of short-term survival in cardiac valvular surgery patients with intra-aortic balloon pump implantation;General Thoracic and Cardiovascular Surgery;2023-12-01
4. 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;2023-11-23
5. 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;2023-10-25
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