Application of urinary biomarkers for diagnosing acute kidney injury in critically ill patients without baseline renal function data.

[1]  R. Bellomo,et al.  Neutrophil Gelatinase-Associated Lipocalin Measured on Clinical Laboratory Platforms for the Prediction of Acute Kidney Injury and the Associated Need for Dialysis Therapy: A Systematic Review and Meta-analysis. , 2020, American journal of kidney diseases : the official journal of the National Kidney Foundation.

[2]  Andrew J. Vickers,et al.  A simple, step-by-step guide to interpreting decision curve analysis , 2019, Diagnostic and Prognostic Research.

[3]  Yoichi Hayashi,et al.  The Right Direction Needed to Develop White-Box Deep Learning in Radiology, Pathology, and Ophthalmology: A Short Review , 2019, Front. Robot. AI.

[4]  D. Annane,et al.  Timing of Renal‐Replacement Therapy in Patients with Acute Kidney Injury and Sepsis , 2018, The New England journal of medicine.

[5]  T. Kawamura,et al.  Diagnosis, management, and prognosis of patients with acute kidney injury in Japanese intensive care units: The JAKID study , 2018, Journal of critical care.

[6]  M. Schetz,et al.  Ten shortcomings of the current definition of AKI , 2017, Intensive Care Medicine.

[7]  Jan Gunst,et al.  AKIpredictor, an online prognostic calculator for acute kidney injury in adult critically ill patients: development, validation and comparison to serum neutrophil gelatinase-associated lipocalin , 2017, Intensive Care Medicine.

[8]  M. Nangaku,et al.  Impact of clinical context on acute kidney injury biomarker performances: differences between neutrophil gelatinase-associated lipocalin and L-type fatty acid-binding protein , 2016, Scientific Reports.

[9]  J. Kellum,et al.  Effect of Early vs Delayed Initiation of Renal Replacement Therapy on Mortality in Critically Ill Patients With Acute Kidney Injury: The ELAIN Randomized Clinical Trial. , 2016, JAMA.

[10]  F. Tubach,et al.  Initiation Strategies for Renal-Replacement Therapy in the Intensive Care Unit. , 2016, The New England journal of medicine.

[11]  E. Siew,et al.  Choice of Reference Serum Creatinine in Defining Acute Kidney Injury , 2015, Nephron.

[12]  Rinaldo Bellomo,et al.  Epidemiology of acute kidney injury in critically ill patients: the multinational AKI-EPI study , 2015, Intensive Care Medicine.

[13]  Benjamin R Saville,et al.  Decision curve analysis. , 2015, JAMA.

[14]  Baris Turkbey,et al.  Comparison of MR/ultrasound fusion-guided biopsy with ultrasound-guided biopsy for the diagnosis of prostate cancer. , 2015, JAMA.

[15]  G. Clermont,et al.  Classifying AKI by Urine Output versus Serum Creatinine Level. , 2015, Journal of the American Society of Nephrology : JASN.

[16]  M. Gönen,et al.  A simple decision analytic solution to the comparison of two binary diagnostic tests , 2013, Statistics in medicine.

[17]  B. Jaber,et al.  Performance of urinary liver-type fatty acid-binding protein in acute kidney injury: a meta-analysis. , 2013, American journal of kidney diseases : the official journal of the National Kidney Foundation.

[18]  Bo Xie,et al.  Urinary L-FABP and its combination with urinary NGAL in early diagnosis of acute kidney injury after cardiac surgery in adult patients , 2013, Biomarkers : biochemical indicators of exposure, response, and susceptibility to chemicals.

[19]  A. Khwaja.  KDIGO Clinical Practice Guidelines for Acute Kidney Injury , 2012, Nephron Clinical Practice.

[20]  T. Nickolas,et al.  Diagnostic and prognostic stratification in the emergency department using urinary biomarkers of nephron damage: a multicenter prospective cohort study. , 2012, Journal of the American College of Cardiology.

[21]  T. Sugaya,et al.  Evaluation of new acute kidney injury biomarkers in a mixed intensive care unit* , 2011, Critical care medicine.

[22]  J. Pickering,et al.  Back-calculating baseline creatinine with MDRD misclassifies acute kidney injury in the intensive care unit. , 2010, Clinical journal of the American Society of Nephrology : CJASN.

[23]  R. Bellomo,et al.  A comparison of observed versus estimated baseline creatinine for determination of RIFLE class in patients with acute kidney injury. , 2009, Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association.

[24]  Yasuhiko Tomino,et al.  Revised equations for estimated GFR from serum creatinine in Japan. , 2009, American journal of kidney diseases : the official journal of the National Kidney Foundation.

[25]  D. Bolignano,et al.  Neutrophil gelatinase-associated lipocalin (NGAL) and progression of chronic kidney disease. , 2009, Clinical journal of the American Society of Nephrology : CJASN.

[26]  T. Nickolas,et al.  Sensitivity and Specificity of a Single Emergency Department Measurement of Urinary Neutrophil GelatinaseAssociated Lipocalin for Diagnosing Acute Kidney Injury , 2008, Annals of Internal Medicine.

[27]  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.

[28]  Qing Ma,et al.  Neutrophil gelatinase-associated lipocalin (NGAL) as a biomarker for acute renal injury after cardiac surgery , 2005, The Lancet.

[29]  S. Lemon,et al.  Classification and regression tree analysis in public health: Methodological review and comparison with logistic regression , 2003, Annals of behavioral medicine : a publication of the Society of Behavioral Medicine.

[30]  M. Levy,et al.  2001 SCCM/ESICM/ACCP/ATS/SIS International Sepsis Definitions Conference , 2003, Intensive care medicine.

[31]  W. Knaus,et al.  APACHE II: a severity of disease classification system. , 1985 .