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Performance of the Kidney Failure Risk Equation by Disease Etiology in Advanced CKD
Author(s) -
Gregory L. Hundemer,
Navdeep Tangri,
Manish M. Sood,
Tim Ramsay,
Ann Bugeja,
Pierre Antoine Brown,
Edward G. Clark,
Mohan Biyani,
Christine A. White,
Ayub Akbari
Publication year - 2020
Publication title -
clinical journal of the american society of nephrology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.755
H-Index - 151
eISSN - 1555-905X
pISSN - 1555-9041
DOI - 10.2215/cjn.03940320
Subject(s) - medicine , kidney disease , dialysis , population , kidney transplantation , kidney , confidence interval , intensive care medicine , urology , environmental health
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 m 2 ) 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.

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