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. 1. Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; pravani@ucalgary.ca. 2. Department of Medical Statistics and Bioinformatics, Mathematical Institute, Leiden University, Leiden, The Netherlands. 3. Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada. 4. Division of Nephrology, Department of Medicine, University of Alberta, Edmonton, Alberta, Canada. 5. Department of Medicine, University of Toronto, Toronto, Ontario, Canada; and. 6. Department of Emergency Care and Organ Transplantation, University of Bari, Bari, Italy.
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.
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.
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