Literature DB >> 20103502

Peritonitis-free survival in peritoneal dialysis: an update taking competing risks into account.

David W Evans1, Jean-Philippe Ryckelynck, Emmanuel Fabre, Christian Verger.   

Abstract

BACKGROUND: Peritonitis-free survival is commonly reported in the peritoneal dialysis (PD) literature. The Kaplan-Meier method appears to be the only technique used to date, although it has known limitations for cohorts with multiple outcomes, as in PD. In the presence of these 'competing risks' outcomes, the Kaplan-Meier estimate is interpretable only under restrictive assumptions. In contrast, methods which take competing risks into account provide unbiased estimates of probabilities of outcomes as actually experienced by patients.
METHODS: We analysed peritonitis-free survival in a cohort of 8711 incident patients from the 'Registre de Dialyse Péritonéale de Langue Française' between 1 January 2000 and 31 December 2007 by calculating the cumulative incidence (CI) of the first episode of peritonitis using the Kaplan-Meier method and a method accounting for competing risks. We compared the CI in different patient groups by the log-rank test and a test developed for competing risk data, Gray's test.
RESULTS: After 5 years of PD, the CI of at least one peritonitis episode was 0.4, and the probability of any outcome was 0.96. The Kaplan-Meier method overestimated the CI by a large amount. Compared with the log-rank test, Gray's test led to different conclusions in three out of seven comparisons.
CONCLUSIONS: The competing risk approach shows that the CI of at least one peritonitis episode was lower than reported by the Kaplan-Meier method but that survival peritonitis-free and still on PD was overall low. The competing risk approach provides estimates which have a clearer interpretation than Kaplan-Meier methods and could be more widely used in PD research.

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Year:  2010        PMID: 20103502     DOI: 10.1093/ndt/gfq003

Source DB:  PubMed          Journal:  Nephrol Dial Transplant        ISSN: 0931-0509            Impact factor:   5.992


  13 in total

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2.  Differential Mortality and the Excess Rates of Hip Fracture Associated With Type 2 Diabetes: Accounting for Competing Risks in Fracture Prediction Matters.

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3.  Overestimation of the probability of death on peritoneal dialysis by the Kaplan-Meier method: advantages of a competing risks approach.

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Journal:  BMC Nephrol       Date:  2012-05-30       Impact factor: 2.388

4.  Would increasing centre volumes improve patient outcomes in peritoneal dialysis? A registry-based cohort and Monte Carlo simulation study.

Authors:  David Evans; Thierry Lobbedez; Christian Verger; Antoine Flahault
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6.  Competing risks survival analysis applied to data from the Australian Orthopaedic Association National Joint Replacement Registry.

Authors:  Marianne H Gillam; Philip Ryan; Stephen E Graves; Lisa N Miller; Richard N de Steiger; Amy Salter
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7.  Upper gastrointestinal bleeding as a risk factor for dialysis and all-cause mortality: a cohort study of chronic kidney disease patients in Taiwan.

Authors:  Chih-Chia Liang; Che-Yi Chou; Chiz-Tzung Chang; I-Kuan Wang; Chiu-Ching Huang
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8.  Addition of Alanyl-Glutamine to Dialysis Fluid Restores Peritoneal Cellular Stress Responses - A First-In-Man Trial.

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Journal:  PLoS One       Date:  2016-10-21       Impact factor: 3.240

Review 9.  Is there such a thing as biocompatible peritoneal dialysis fluid?

Authors:  Claus Peter Schmitt; Christoph Aufricht
Journal:  Pediatr Nephrol       Date:  2016-10-08       Impact factor: 3.714

10.  Modelling competing risks in nephrology research: an example in peritoneal dialysis.

Authors:  Laetitia Teixeira; Anabela Rodrigues; Maria J Carvalho; António Cabrita; Denisa Mendonça
Journal:  BMC Nephrol       Date:  2013-05-24       Impact factor: 2.388

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