Literature DB >> 31540963

Influence of Mortality on Estimating the Risk of Kidney Failure in People with Stage 4 CKD.

Pietro Ravani1, Marta Fiocco2, Ping Liu3, Robert R Quinn3, Brenda Hemmelgarn3, Matthew James3, Ngan Lam4, Braden Manns3, Matthew J Oliver5, Giovanni F M Strippoli6, Marcello Tonelli3.   

Abstract

BACKGROUND: Most kidney failure risk calculators are based on methods that censor for death. Because mortality is high in people with severe, nondialysis-dependent CKD, censoring for death may overestimate their risk of kidney failure.
METHODS: Using 2002-2014 population-based laboratory and administrative data for adults with stage 4 CKD in Alberta, Canada, we analyzed the time to the earliest of kidney failure, death, or censoring, using methods that censor for death and methods that treat death as a competing event factoring in age, sex, diabetes, cardiovascular disease, eGFR, and albuminuria. Stage 4 CKD was defined as a sustained eGFR of 15-30 ml/min per 1.73 m2.
RESULTS: Of the 30,801 participants (106,447 patient-years at risk; mean age 77 years), 18% developed kidney failure and 53% died. The observed risk of the combined end point of death or kidney failure was 64% at 5 years and 87% at 10 years. By comparison, standard risk calculators that censored for death estimated these risks to be 76% at 5 years and >100% at 7.5 years. Censoring for death increasingly overestimated the risk of kidney failure over time from 7% at 5 years to 19% at 10 years, especially in people at higher risk of death. For example, the overestimation of 5-year absolute risk ranged from 1% in a woman without diabetes, cardiovascular disease, or albuminuria and with an eGFR of 25 ml/min per 1.73 m2 (9% versus 8%), to 27% in a man with diabetes, cardiovascular disease, albuminuria >300 mg/d, and an eGFR of 20 ml/min per 1.73 m2 (78% versus 51%).
CONCLUSIONS: Kidney failure risk calculators should account for death as a competing risk to increase their accuracy and utility for patients and providers.
Copyright © 2019 by the American Society of Nephrology.

Entities:  

Keywords:  Competing risks; chronic kidney disease; kidney failure

Mesh:

Year:  2019        PMID: 31540963      PMCID: PMC6830798          DOI: 10.1681/ASN.2019060640

Source DB:  PubMed          Journal:  J Am Soc Nephrol        ISSN: 1046-6673            Impact factor:   10.121


  24 in total

1.  Prognostic models with competing risks: methods and application to coronary risk prediction.

Authors:  Marcel Wolbers; Michael T Koller; Jacqueline C M Witteman; Ewout W Steyerberg
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2.  The magnitude of acute serum creatinine increase after cardiac surgery and the risk of chronic kidney disease, progression of kidney disease, and death.

Authors:  Areef Ishani; David Nelson; Barbara Clothier; Tamara Schult; Sean Nugent; Nancy Greer; Yelena Slinin; Kristine E Ensrud
Journal:  Arch Intern Med       Date:  2011-02-14

3.  Association of estimated glomerular filtration rate and albuminuria with all-cause and cardiovascular mortality in general population cohorts: a collaborative meta-analysis.

Authors:  Kunihiro Matsushita; Marije van der Velde; Brad C Astor; Mark Woodward; Andrew S Levey; Paul E de Jong; Josef Coresh; Ron T Gansevoort
Journal:  Lancet       Date:  2010-05-17       Impact factor: 79.321

4.  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

5.  A population-based cohort study defines prognoses in severe chronic kidney disease.

Authors:  Marcello Tonelli; Natasha Wiebe; Matthew T James; Scott W Klarenbach; Braden J Manns; Pietro Ravani; Giovanni F M Strippoli; Brenda R Hemmelgarn
Journal:  Kidney Int       Date:  2018-03-07       Impact factor: 10.612

6.  A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation. Modification of Diet in Renal Disease Study Group.

Authors:  A S Levey; J P Bosch; J B Lewis; T Greene; N Rogers; D Roth
Journal:  Ann Intern Med       Date:  1999-03-16       Impact factor: 25.391

7.  Flexible parametric modelling of the cause-specific cumulative incidence function.

Authors:  Paul C Lambert; Sally R Wilkes; Michael J Crowther
Journal:  Stat Med       Date:  2016-12-22       Impact factor: 2.373

8.  Introduction to the Analysis of Survival Data in the Presence of Competing Risks.

Authors:  Peter C Austin; Douglas S Lee; Jason P Fine
Journal:  Circulation       Date:  2016-02-09       Impact factor: 29.690

9.  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

10.  Predicting timing of clinical outcomes in patients with chronic kidney disease and severely decreased glomerular filtration rate.

Authors:  Morgan E Grams; Yingying Sang; Shoshana H Ballew; Juan Jesus Carrero; Ognjenka Djurdjev; Hiddo J L Heerspink; Kevin Ho; Sadayoshi Ito; Angharad Marks; David Naimark; Danielle M Nash; Sankar D Navaneethan; Mark Sarnak; Benedicte Stengel; Frank L J Visseren; Angela Yee-Moon Wang; Anna Köttgen; Andrew S Levey; Mark Woodward; Kai-Uwe Eckardt; Brenda Hemmelgarn; Josef Coresh
Journal:  Kidney Int       Date:  2018-03-29       Impact factor: 18.998

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  14 in total

1.  Competing Risk Modeling: Time to Put it in Our Standard Analytical Toolbox.

Authors:  Liang Li; Wei Yang; Brad C Astor; Tom Greene
Journal:  J Am Soc Nephrol       Date:  2019-11-15       Impact factor: 10.121

2.  Surrogate Endpoints for Late Kidney Transplantation Failure.

Authors:  Maarten Naesens; Klemens Budde; Luuk Hilbrands; Rainer Oberbauer; Maria Irene Bellini; Denis Glotz; Josep Grinyó; Uwe Heemann; Ina Jochmans; Liset Pengel; Marlies Reinders; Stefan Schneeberger; Alexandre Loupy
Journal:  Transpl Int       Date:  2022-05-20       Impact factor: 3.842

3.  Investigating the Relationship Between Age and Kidney Failure in Adults With Category 4 Chronic Kidney Disease.

Authors:  Huda Al-Wahsh; Ngan N Lam; Ping Liu; Robert R Quinn; Marta Fiocco; Brenda Hemmelgarn; Navdeep Tangri; Marcello Tonelli; Pietro Ravani
Journal:  Can J Kidney Health Dis       Date:  2020-10-23

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

Authors:  Gregory L Hundemer; Navdeep Tangri; Manish M Sood; Tim Ramsay; Ann Bugeja; Pierre A Brown; Edward G Clark; Mohan Biyani; Christine A White; Ayub Akbari
Journal:  Clin J Am Soc Nephrol       Date:  2020-09-14       Impact factor: 8.237

5.  Kidney Failure Prediction Models: A Comprehensive External Validation Study in Patients with Advanced CKD.

Authors:  Chava L Ramspek; Marie Evans; Christoph Wanner; Christiane Drechsler; Nicholas C Chesnaye; Maciej Szymczak; Magdalena Krajewska; Claudia Torino; Gaetana Porto; Samantha Hayward; Fergus Caskey; Friedo W Dekker; Kitty J Jager; Merel van Diepen
Journal:  J Am Soc Nephrol       Date:  2021-03-08       Impact factor: 10.121

6.  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

7.  Bariatric Surgery and Risk of Death in Persons with Chronic Kidney Disease.

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Journal:  Ann Surg       Date:  2021-03-03       Impact factor: 13.787

8.  Lessons learnt when accounting for competing events in the external validation of time-to-event prognostic models.

Authors:  Chava L Ramspek; Lucy Teece; Kym I E Snell; Marie Evans; Richard D Riley; Maarten van Smeden; Nan van Geloven; Merel van Diepen
Journal:  Int J Epidemiol       Date:  2022-05-09       Impact factor: 9.685

9.  Association of Age With Risk of Kidney Failure in Adults With Stage IV Chronic Kidney Disease in Canada.

Authors:  Pietro Ravani; Rob Quinn; Marta Fiocco; Ping Liu; Huda Al-Wahsh; Ngan Lam; Brenda R Hemmelgarn; Braden J Manns; Matthew T James; Yves Joanette; Marcello Tonelli
Journal:  JAMA Netw Open       Date:  2020-09-01

10.  The Kidney Failure Risk Equation for Prediction of Allograft Loss in Kidney Transplant Recipients.

Authors:  Chi D Chu; Elaine Ku; Mohammad Kazem Fallahzadeh; Charles E McCulloch; Delphine S Tuot
Journal:  Kidney Med       Date:  2020-10-28
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