Literature DB >> 32928746

Performance of the Kidney Failure Risk Equation by Disease Etiology in Advanced CKD.

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.   

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.
Copyright © 2020 by the American Society of Nephrology.

Entities:  

Keywords:  KFRE; chronic kidney disease; chronic kidney failure; end-stage kidney disease; kidney failure; kidney failure risk equation; progression of chronic renal failure

Year:  2020        PMID: 32928746      PMCID: PMC7536763          DOI: 10.2215/CJN.03940320

Source DB:  PubMed          Journal:  Clin J Am Soc Nephrol        ISSN: 1555-9041            Impact factor:   8.237


  24 in total

1.  Multinational Assessment of Accuracy of Equations for Predicting Risk of Kidney Failure: A Meta-analysis.

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

2.  A predictive model for progression of chronic kidney disease to kidney failure.

Authors:  Navdeep Tangri; Lesley A Stevens; John Griffith; Hocine Tighiouart; Ognjenka Djurdjev; David Naimark; Adeera Levin; Andrew S Levey
Journal:  JAMA       Date:  2011-04-11       Impact factor: 56.272

Review 3.  The Economic Burden of Chronic Kidney Disease and End-Stage Renal Disease.

Authors:  Virginia Wang; Helene Vilme; Matthew L Maciejewski; L Ebony Boulware
Journal:  Semin Nephrol       Date:  2016-07       Impact factor: 5.299

Review 4.  Risk Prediction Models in CKD.

Authors:  Blake Lerner; Sean Desrochers; Navdeep Tangri
Journal:  Semin Nephrol       Date:  2017-03       Impact factor: 5.299

5.  Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): the TRIPOD statement.

Authors:  Gary S Collins; Johannes B Reitsma; Douglas G Altman; Karel G M Moons
Journal:  Ann Intern Med       Date:  2015-01-06       Impact factor: 25.391

Review 6.  A systematic analysis of worldwide population-based data on the global burden of chronic kidney disease in 2010.

Authors:  Katherine T Mills; Yu Xu; Weidong Zhang; Joshua D Bundy; Chung-Shiuan Chen; Tanika N Kelly; Jing Chen; Jiang He
Journal:  Kidney Int       Date:  2015-07-29       Impact factor: 10.612

7.  Risk-Based Triage for Nephrology Referrals Using the Kidney Failure Risk Equation.

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

8.  Prevalence and Demographics of CKD in Canadian Primary Care Practices: A Cross-sectional Study.

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

9.  Patient and provider experience and perspectives of a risk-based approach to multidisciplinary chronic kidney disease care: a mixed methods study.

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

10.  Prediction of Progression in Polycystic Kidney Disease Using the Kidney Failure Risk Equation and Ultrasound Parameters.

Authors:  Ayub Akbari; Navdeep Tangri; Pierre A Brown; Mohan Biyani; Emily Rhodes; Teerath Kumar; Wael Shabana; Manish M Sood
Journal:  Can J Kidney Health Dis       Date:  2020-03-18
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  5 in total

1.  A validation study of the kidney failure risk equation in advanced chronic kidney disease according to disease aetiology with evaluation of discrimination, calibration and clinical utility.

Authors:  Ibrahim Ali; Rosemary L Donne; Philip A Kalra
Journal:  BMC Nephrol       Date:  2021-05-24       Impact factor: 2.388

2.  The Effect of Age on Performance of the Kidney Failure Risk Equation in Advanced CKD.

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

3.  Independent External Validation and Comparison of Death and Kidney Replacement Therapy Prediction Models in Advanced CKD.

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

4.  Death and Dialysis Following Discharge From Chronic Kidney Disease Clinic: A Retrospective Cohort Study.

Authors:  Michael Che; Eduard Iliescu; Susan Thanabalasingam; Andrew G Day; Christine A White
Journal:  Can J Kidney Health Dis       Date:  2022-08-16

Review 5.  Bridging Gaps in Diabetic Nephropathy Care: A Narrative Review Guided by the Lived Experiences of Patient Partners.

Authors:  William Beaubien-Souligny; Simon Leclerc; Nancy Verdin; Rizwana Ramzanali; Danielle E Fox
Journal:  Can J Kidney Health Dis       Date:  2022-10-11
  5 in total

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