Predicting acute renal failure after coronary bypass surgery: Cross-validation of two risk-stratification algorithms

This publication has 23 references indexed in Scilit:

• A model that predicts morbidity and mortality after coronary artery bypass graft surgery
  Published by Elsevier ,1998
• Use of a Probabilistic Neural Network to Estimate the Risk of Mortality after Cardiac Surgery
  Medical Decision Making, 1997
• Identification of preoperative variables needed for risk adjustment of short-term mortality after coronary artery bypass graft surgery
  Journal of the American College of Cardiology, 1996
• Multicenter Validation of a Risk Index for Mortality, Intensive Care Unit Stay, and Overall Hospital Length of Stay After Cardiac Surgery
  Circulation, 1995
• Bayesian-logit model for risk assessment in coronary artery bypass grafting
  The Annals of Thoracic Surgery, 1994
• Acute Renal Failure after Coronary Surgery - A Study of Incidence and Risk Factors in 2009 Consecutive Patients
  The Thoracic and Cardiovascular Surgeon, 1993
• Prognosis and Risk Factors in Acute, Dialysis-Requiring Renal Failure After Open-Heart Surgery
  Scandinavian Journal of Thoracic and Cardiovascular Surgery, 1991
• Initial report of the veterans administration preoperative risk assessment study for cardiac surgery
  The Annals of Thoracic Surgery, 1990
• Hospital-acquired renal insufficiency: A prospective study
  The American Journal of Medicine, 1983
• Prediction of Creatinine Clearance from Serum Creatinine
  Nephron, 1976