Performance of an easy-to-use prediction model for renal patient survival: an external validation study using data from the ERA-EDTA Registry

An easy-to-use prediction model for long-term renal patient survival based on only four predictors [age, primary renal disease, sex and therapy at 90 days after the start of renal replacement therapy (RRT)] has been developed in The Netherlands. To assess the usability of this model for use in Europ...

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Bibliographic Details
Published in:Nephrology, dialysis, transplantation dialysis, transplantation, 2018-10, Vol.33 (10), p.1786-1793
Main Authors: Hemke, Aline C, Heemskerk, Martin B A, van Diepen, Merel, Kramer, Anneke, de Meester, Johan, Heaf, James G, Abad Diez, José Maria, Torres Guinea, Marta, Finne, Patrik, Brunet, Philippe, Vikse, Bjørn E, Caskey, Fergus J, Traynor, Jamie P, Massy, Ziad A, Couchoud, Cécile, Groothoff, Jaap W, Nordio, Maurizio, Jager, Kitty J, Dekker, Friedo W, Hoitsma, Andries J
Format: Article
Language:English
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Summary:An easy-to-use prediction model for long-term renal patient survival based on only four predictors [age, primary renal disease, sex and therapy at 90 days after the start of renal replacement therapy (RRT)] has been developed in The Netherlands. To assess the usability of this model for use in Europe, we externally validated the model in 10 European countries. Data from the European Renal Association-European Dialysis and Transplant Association (ERA-EDTA) Registry were used. Ten countries that reported individual patient data to the registry on patients starting RRT in the period 1995-2005 were included. Patients
ISSN:0931-0509
1460-2385
DOI:10.1093/ndt/gfx348