Skip to Main Content

Paper Details

Comparative Performance of Prediction Models for Contrast-Associated Acute Kidney Injury After Percutaneous Coronary Intervention.
Circ Cardiovasc Qual Outcomes
10
2019
AKI, CA, CA-AKI, Kidney Disease, contrast-associated acute kidney injury, creatinine, kidney injury, patients
Acute Kidney Injury, Aged, Aged, 80 and over, Contrast Media, Decision Support Techniques, Female, Humans, Male, Middle Aged, Models, Biological, Percutaneous Coronary Intervention, Predictive Value of Tests, Radiography, Interventional, Renal Dialysis, Reproducibility of Results, Risk Assessment, Risk Factors, Treatment Outcome
Author NameAffiliation
Bryan MaCumming School of Medicine, University of Calgary
David AllenUniversity of Manitoba
Michelle M GrahamMazinkowski Alberta Heart Institute, University of Alberta
Bryan HarLibin Cardiovascular Institute of Alberta (B.J.H.), Cumming School of Medicine, University of Calgary
Benjamin D TyrrellMazinkowski Alberta Heart Institute, University of Alberta
Zhi TanCumming School of Medicine, University of Calgary
John A SpertusUniversity of Missouri-Kansas City, Saint Luke's Mid America Heart Institute (J.A.S.).
John A SpertusUniversity of Missouri-Kansas City, Saint Luke's Mid America Heart Institute (J.A.S.).
Jeremiah R BrownThe Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth
Michael MathenyVanderbilt University
Michael E MathenyVanderbilt University
Brenda R HemmelgarnCumming School of Medicine, University of Calgary
Brenda R HemmelgarnO'Brien Institute for Public Health, Libin Cardiovascular Institute of Alberta (B.R.H., Cumming School of Medicine, University of Calgary
Neesh PannuMazinkowski Alberta Heart Institute, University of Alberta
Matthew T JamesCumming School of Medicine, University of Calgary
Matthew T JamesO'Brien Institute for Public Health, Libin Cardiovascular Institute of Alberta (B.R.H., Cumming School of Medicine, University of Calgary
  • 1 - 16

Datasets

Release 1.2