Prediction of Acute Kidney Injury Following Isolated Coronary Artery Bypass Grafting in Heart Failure Patients with Preserved Ejection Fraction Using Machine Leaning with a Novel Nomogram

Prediction of Acute Kidney Injury Following Isolated Coronary Artery Bypass Grafting in Heart Failure Patients with Preserved Ejection Fraction Using Machine Leaning with a Novel Nomogram

Background: The incidence of postoperative acute kidney injury (AKI) is high due to insufficient perfusion in patients with heart failure. Heart failure patients with preserved ejection fraction (HFpEF) have strong heterogeneity, which can obtain more accurate results. There are few studies for pred...

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Bibliographic Details
Main Authors: Xuejian Hou, Kui Zhang, Taoshuai Liu, Shijun Xu, Jubing Zheng, Yang Li, Ran Dong
Format: Article
Language:English
Published: IMR Press 2024-01-01
Series:Reviews in Cardiovascular Medicine
Subjects:
heart failure with preserved ejection fraction (hfpef)
acute kidney injury (aki)
coronary artery bypass grafting (cabg)
machine learning
Online Access:https://www.imrpress.com/journal/RCM/25/2/10.31083/j.rcm2502043

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https://www.imrpress.com/journal/RCM/25/2/10.31083/j.rcm2502043

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