Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/114822
Author(s): Teixeira, L
Rodrigues, A
Carvalho, MJ
Cabrita, A
Mendonca, D
Title: Modelling competing risks in nephrology research: an example in peritoneal dialysis
Issue Date: 2013
Abstract: Background: Modelling competing risks is an essential issue in Nephrology Research. In peritoneal dialysis studies, sometimes inappropriate methods (i.e. Kaplan-Meier method) have been used to estimate probabilities for an event of interest in the presence of competing risks. In this situation a competing risk analysis should be preferable. The objectives of this study are to describe the bias resulting from the application of standard survival analysis to estimate peritonitis-free patient survival and to provide alternative statistical approaches taking competing risks into account. Methods: The sample comprises patients included in a university hospital peritoneal dialysis program between October 1985 and June 2011 (n = 449). Cumulative incidence function and competing risk regression models based on cause-specific and subdistribution hazards were discussed. Results: The probability of occurrence of the first peritonitis is wrongly overestimated using Kaplan-Meier method. The cause-specific hazard model showed that factors associated with shorter time to first peritonitis were age (≥55 years) and previous treatment (haemodialysis). Taking competing risks into account in the subdistribution hazard model, age remained significant while gender (female) but not previous treatment was identified as a factor associated with a higher probability of first peritonitis event. Conclusions: In the presence of competing risks outcomes, Kaplan-Meier estimates are biased as they overestimated the probability of the occurrence of an event of interest. Methods which take competing risks into account provide unbiased estimates of cumulative incidence for each specific outcome experienced by patients. Multivariable regression models such as those based on cause-specific hazard and on subdistribution hazard should be used in this competing risk setting.
Subject: Cause-specific hazard model
Competing risks
Cumulative incidence function
Peritoneal dialysis
URI: http://hdl.handle.net/10216/114822
Source: BMC nephrology, vol. 14, p. 110
Document Type: Artigo em Revista Científica Internacional
Rights: openAccess
Appears in Collections:ISPUP - Artigo em Revista Científica Internacional

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