Gregory L Hundemer1,2, Navdeep Tangri3, Manish M Sood4,2, Tim Ramsay2, Ann Bugeja4,2, Pierre A Brown4,2, Edward G Clark4,2, Mohan Biyani4,2, Christine A White5, Ayub Akbari4,2. 1. Division of Nephrology, Department of Medicine, The Ottawa Hospital, Ottawa, Ontario, Canada ghundemer@toh.ca. 2. Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada. 3. Division of Nephrology, Department of Medicine, University of Manitoba, Winnipeg, Manitoba, Canada. 4. Division of Nephrology, Department of Medicine, The Ottawa Hospital, Ottawa, Ontario, Canada. 5. Division of Nephrology, Department of Medicine, Queen's University, Kingston, Ontario, Canada.
Abstract
BACKGROUND AND OBJECTIVES: The kidney failure risk equation is a clinical tool commonly used for prediction of progression from CKD to kidney failure. The kidney failure risk equation's accuracy in advanced CKD and whether this varies by CKD etiology remains unknown. This study examined the kidney failure risk equation's discrimination and calibration at 2 and 5 years among a large tertiary care population with advanced CKD from heterogeneous etiologies. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: This retrospective cohort study included 1293 patients with advanced CKD (median eGFR 15 ml/min per 1.73 m2) referred to the Ottawa Hospital Multi-Care Kidney Clinic between 2010 and 2016, with follow-up clinical data available through 2018. Four-variable kidney failure risk equation scores for 2- and 5-year risks of progression to kidney failure (defined as dialysis or kidney transplantation) were calculated upon initial referral and correlated with the subsequent observed kidney failure incidence within these time frames. Receiver operating characteristic curves and calibration plots were used to measure the discrimination and calibration of the kidney failure risk equation both in the overall advanced CKD population and by CKD etiology: diabetic kidney disease, hypertensive nephrosclerosis, GN, polycystic kidney disease, and other. Pairwise comparisons of the receiver operating characteristic curves by CKD etiology were performed to compare kidney failure risk equation discrimination. RESULTS: The kidney failure risk equation provided adequate to excellent discrimination in identifying patients with CKD likely to progress to kidney failure at the 2- and 5-year time points both overall (2-year area under the curve, 0.83; 95% confidence interval, 0.81 to 0.85; 5-year area under the curve, 0.81; 95% confidence interval, 0.77 to 0.84) and across CKD etiologies. The kidney failure risk equation displayed adequate calibration at the 2- and 5-year time points both overall and across CKD etiologies (Hosmer-Lemeshow P≥0.05); however, the predicted risks of kidney failure were higher than the observed risks across CKD etiologies with the exception of polycystic kidney disease. CONCLUSIONS: The kidney failure risk equation provides adequate discrimination and calibration in advanced CKD and across CKD etiologies.
BACKGROUND AND OBJECTIVES: The kidney failure risk equation is a clinical tool commonly used for prediction of progression from CKD to kidney failure. The kidney failure risk equation's accuracy in advanced CKD and whether this varies by CKD etiology remains unknown. This study examined the kidney failure risk equation's discrimination and calibration at 2 and 5 years among a large tertiary care population with advanced CKD from heterogeneous etiologies. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: This retrospective cohort study included 1293 patients with advanced CKD (median eGFR 15 ml/min per 1.73 m2) referred to the Ottawa Hospital Multi-Care Kidney Clinic between 2010 and 2016, with follow-up clinical data available through 2018. Four-variable kidney failure risk equation scores for 2- and 5-year risks of progression to kidney failure (defined as dialysis or kidney transplantation) were calculated upon initial referral and correlated with the subsequent observed kidney failure incidence within these time frames. Receiver operating characteristic curves and calibration plots were used to measure the discrimination and calibration of the kidney failure risk equation both in the overall advanced CKD population and by CKD etiology: diabetic kidney disease, hypertensive nephrosclerosis, GN, polycystic kidney disease, and other. Pairwise comparisons of the receiver operating characteristic curves by CKD etiology were performed to compare kidney failure risk equation discrimination. RESULTS: The kidney failure risk equation provided adequate to excellent discrimination in identifying patients with CKD likely to progress to kidney failure at the 2- and 5-year time points both overall (2-year area under the curve, 0.83; 95% confidence interval, 0.81 to 0.85; 5-year area under the curve, 0.81; 95% confidence interval, 0.77 to 0.84) and across CKD etiologies. The kidney failure risk equation displayed adequate calibration at the 2- and 5-year time points both overall and across CKD etiologies (Hosmer-Lemeshow P≥0.05); however, the predicted risks of kidney failure were higher than the observed risks across CKD etiologies with the exception of polycystic kidney disease. CONCLUSIONS: The kidney failure risk equation provides adequate discrimination and calibration in advanced CKD and across CKD etiologies.
Authors: Navdeep Tangri; Morgan E Grams; Andrew S Levey; Josef Coresh; Lawrence J Appel; Brad C Astor; Gabriel Chodick; Allan J Collins; Ognjenka Djurdjev; C Raina Elley; Marie Evans; Amit X Garg; Stein I Hallan; Lesley A Inker; Sadayoshi Ito; Sun Ha Jee; Csaba P Kovesdy; Florian Kronenberg; Hiddo J Lambers Heerspink; Angharad Marks; Girish N Nadkarni; Sankar D Navaneethan; Robert G Nelson; Stephanie Titze; Mark J Sarnak; Benedicte Stengel; Mark Woodward; Kunitoshi Iseki Journal: JAMA Date: 2016-01-12 Impact factor: 56.272
Authors: Jay Hingwala; Peter Wojciechowski; Brett Hiebert; Joe Bueti; Claudio Rigatto; Paul Komenda; Navdeep Tangri Journal: Can J Kidney Health Dis Date: 2017-08-09
Authors: Aminu K Bello; Paul E Ronksley; Navdeep Tangri; Julia Kurzawa; Mohamed A Osman; Alexander Singer; Allan Grill; Dorothea Nitsch; John A Queenan; James Wick; Cliff Lindeman; Boglarka Soos; Delphine S Tuot; Soroush Shojai; Scott Brimble; Dee Mangin; Neil Drummond Journal: Kidney Int Rep Date: 2019-01-21
Authors: Michelle D Smekal; Helen Tam-Tham; Juli Finlay; Maoliosa Donald; Chandra Thomas; Robert G Weaver; Robert R Quinn; Kin Tam; Braden J Manns; Marcello Tonelli; Aminu Bello; Navdeep Tangri; Brenda R Hemmelgarn Journal: BMC Nephrol Date: 2019-03-29 Impact factor: 2.388
Authors: Gregory L Hundemer; Navdeep Tangri; Manish M Sood; Edward G Clark; Mark Canney; Cedric Edwards; Christine A White; Matthew J Oliver; Tim Ramsay; Ayub Akbari Journal: Kidney Int Rep Date: 2021-10-08
Authors: Susan J Thanabalasingam; Eduard A Iliescu; Patrick A Norman; Andrew G Day; Ayub Akbari; Gregory L Hundemer; Christine A White Journal: Kidney Med Date: 2022-03-07