Effect of the New Glomerular Filtration Rate Estimation Equation on Risk Predicting Models for Acute Kidney Injury After Percutaneous Coronary Intervention

Circ Cardiovasc Interv. 2023 Apr;16(4):e012831. doi: 10.1161/CIRCINTERVENTIONS.122.012831. Epub 2023 Apr 3.

Chenxi Huang^#¹, Karthik Murugiah^#^{1

2}, Xumin Li³, Frederick A Masoudi^{4

5}, John C Messenger⁵, Kim A Williams Sr⁶, Bobak J Mortazavi⁷, Harlan M Krumholz^{1

2

8}

¹ Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT (C.H., K.M., H.M.K.).
² Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT (K.M., H.M.K.).
³ Department of Epidemiology, University of Washington, Seattle (X.L.).
⁴ Ascension Health, St. Louis, MO (F.A.M.).
⁵ Division of Cardiology, University of Colorado Anschutz Medical Campus, Aurora (F.A.M., J.C.M.).
⁶ Department of Internal Medicine, University of Louisville, KY (K.A.W.).
⁷ Department of Computer Science and Engineering, Texas A&M University, College Station (B.J.M.).
⁸ Department of Health Policy and Management, Yale School of Public Health, New Haven, CT (H.M.K.).

^# Contributed equally.

No abstract available

Keywords: acute kidney injury; calibration; creatinine; decision making; percutaneous coronary intervention.

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