Looking to the future: predicting renal replacement outcomes in a large community cohort with chronic kidney disease
Author(s) -
Angharad Marks,
Nicholas Fluck,
Gordon Prescott,
Lynn Robertson,
William G. Simpson,
William C. Smith,
Corri Black
Publication year - 2015
Publication title -
nephrology dialysis transplantation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.654
H-Index - 168
eISSN - 1460-2385
pISSN - 0931-0509
DOI - 10.1093/ndt/gfv089
Subject(s) - medicine , kidney disease , renal function , cohort , renal replacement therapy , cohort study , proteinuria , population , creatinine , concordance , intensive care medicine , kidney , environmental health
Chronic kidney disease (CKD) is common and important due to poor outcomes. An ability to stratify CKD care based on outcome risk should improve care for all. Our objective was to develop and validate 5-year outcome prediction tools in a large population-based CKD cohort. Model performance was compared with the recently reported 'kidney failure risk equation' (KFRE) models.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom