Novel Prediction Score Including Pre- and Intraoperative Parameters Best Predicts Acute Kidney Injury after Liver Surgery

[1]  M. Blettner,et al.  Novel and simple preoperative score predicting complications after liver resection in noncirrhotic patients. , 2011, Annals of surgery.

[2]  M. Puhan,et al.  Development and Validation of a Prediction Score for Postoperative Acute Renal Failure Following Liver Resection , 2009, Annals of surgery.

[3]  P. Royston,et al.  Prognosis and prognostic research: application and impact of prognostic models in clinical practice , 2009, BMJ : British Medical Journal.

[4]  Yvonne Vergouwe,et al.  Prognosis and prognostic research: validating a prognostic model , 2009, BMJ : British Medical Journal.

[5]  Yvonne Vergouwe,et al.  Prognosis and prognostic research: Developing a prognostic model , 2009, BMJ : British Medical Journal.

[6]  Yvonne Vergouwe,et al.  Prognosis and prognostic research: what, why, and how? , 2009, BMJ : British Medical Journal.

[7]  R. Vanholder,et al.  Acute kidney injury , 2008, The Lancet.

[8]  Elena B. Elkin,et al.  Extensions to decision curve analysis, a novel method for evaluating diagnostic tests, prediction models and molecular markers , 2008, BMC Medical Informatics Decis. Mak..

[9]  Philip McFarlane,et al.  Guidelines for the management of chronic kidney disease , 2008, Canadian Medical Association Journal.

[10]  L. Ellis,et al.  Preoperative bevacizumab does not significantly increase postoperative complication rates in patients undergoing hepatic surgery for colorectal cancer liver metastases. , 2008, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[11]  A. Vickers.  Decision Analysis for the Evaluation of Diagnostic Tests, Prediction Models, and Molecular Markers , 2008, The American statistician.

[12]  K. Tremper,et al.  Predictors of Postoperative Acute Renal Failure after Noncardiac Surgery in Patients with Previously Normal Renal Function , 2007, Anesthesiology.

[13]  C. Edelstein,et al.  Acute renal failure and chronic kidney disease following liver transplantation , 2007, Hemodialysis international. International Symposium on Home Hemodialysis.

[14]  John A Kellum,et al.  Acute Kidney Injury Network: report of an initiative to improve outcomes in acute kidney injury , 2007, Critical care.

[15]  E. Elkin,et al.  Decision Curve Analysis: A Novel Method for Evaluating Prediction Models , 2006, Medical decision making : an international journal of the Society for Medical Decision Making.

[16]  P Parrilla,et al.  Risk factors of acute renal failure after liver transplantation. , 2006, Kidney international.

[17]  Joseph V Bonventre,et al.  Acute kidney injury, mortality, length of stay, and costs in hospitalized patients. , 2005, Journal of the American Society of Nephrology : JASN.

[18]  Ralph B D'Agostino,et al.  Presentation of multivariate data for clinical use: The Framingham Study risk score functions. , 2005, Statistics in medicine.

[19]  Ewout W Steyerberg,et al.  Validation and updating of predictive logistic regression models: a study on sample size and shrinkage , 2004, Statistics in medicine.

[20]  Peter C Austin,et al.  Bootstrap Methods for Developing Predictive Models , 2004 .

[21]  L. Ellis,et al.  Perioperative complications in patients undergoing major liver resection with or without neoadjuvant chemotherapy , 2003, Journal of Gastrointestinal Surgery.

[22]  M. Makuuchi,et al.  One thousand fifty-six hepatectomies without mortality in 8 years. , 2003, Archives of surgery.

[23]  G. Chertow,et al.  Acute renal failure definitions and classification: time for change? , 2003, Journal of the American Society of Nephrology : JASN.

[24]  J. Kellum,et al.  Developing a consensus classification system for acute renal failure , 2002, Current opinion in critical care.

[25]  Yuman Fong,et al.  Improvement in Perioperative Outcome After Hepatic Resection: Analysis of 1,803 Consecutive Cases Over the Past Decade , 2002, Annals of surgery.

[26]  Ethan M Balk,et al.  K/DOQI clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratification. , 2002, American journal of kidney diseases : the official journal of the National Kidney Foundation.

[27]  W. Suen,et al.  Risk Factors for Development of Acute Renal Failure (ARF) Requiring Dialysis in Patients Undergoing Cardiac Surgery , 1998, Angiology.

[28]  J. Copas,et al.  Using regression models for prediction: shrinkage and regression to the mean , 1997, Statistical methods in medical research.

[29]  V. Cuervas-Mons,et al.  Renal failure after liver transplantation: analysis of risk factors in 139 liver transplant recipients. , 1995, Transplantation proceedings.

[30]  D. Hosmer,et al.  Applied Logistic Regression , 1991 .

[31]  J. Kooman,et al.  [Acute kidney injury]. , 2012, Nederlands tijdschrift voor geneeskunde.

[32]  C. Tudur-Smith,et al.  Developing a Prognostic Model for Epilepsy Data , 2010 .

[33]  S. Ahya,et al.  Acute renal failure. , 2003, JAMA.

[34]  Kdoqi Disclaimer.  K/DOQI clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratification. , 2002, American journal of kidney diseases : the official journal of the National Kidney Foundation.

[35]  Stanley Lemeshow,et al.  Applied Logistic Regression, Second Edition , 1989 .

[36]  Willi Sauerbrei,et al.  The Use of Resampling Methods to Simplify Regression Models in Medical Statistics , 1999 .

[37]  S. Klahr,et al.  Acute oliguria. , 1998, The New England journal of medicine.

[38]  C. Mackenzie,et al.  A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. , 1987, Journal of chronic diseases.