Prediction of the development of contrast‑induced nephropathy following percutaneous coronary artery intervention by machine learning-Reference-Cited by-同舟云学术

Prediction of the development of contrast‑induced nephropathy following percutaneous coronary artery intervention by machine learning

Published:2023-04-13 Issue:8 Volume:78 Page:912-921
ISSN:0001-5385
Container-title:Acta Cardiologica
language:en
Short-container-title:Acta Cardiologica

Author:

Ma Xiao¹²³,Mo Changhua¹²³,Li Yujuan¹²³,Chen Xinyuan¹,Gui Chun¹²³^ORCID

Affiliation:

1. Department of Cardiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, P. R. China

2. Guangxi Key Laboratory Base of Precision Medicine in Cardiocerebrovascular Diseases Control and Prevention, Nanning, P. R. China

3. Guangxi Clinical Research Center for Cardiocerebrovascular Diseases, Nanning, P. R. China

Publisher

Informa UK Limited

Subject

Cardiology and Cardiovascular Medicine,General Medicine

Link

https://www.tandfonline.com/doi/pdf/10.1080/00015385.2023.2198937

Reference34 articles.

1. Contrast-induced nephropathy: Basic concepts, pathophysiological implications and prevention strategies

2. A simple risk score for prediction of contrast-induced nephropathy after percutaneous coronary intervention: development and initial validation;Mehran R;J Am Coll Cardiol,2004

3. Economic burden of contrast-induced nephropathy: implications for prevention strategies

4. Incidence and Prognostic Importance of Acute Renal Failure After Percutaneous Coronary Intervention

5. Relation of red cell distribution width to contrast-induced acute kidney injury in patients undergoing a primary percutaneous coronary intervention

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