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Exploration of chronic kidney disease prevalence estimates using new measures of kidney function in the health survey for England

Fraser, SD; Aitken, G; Taal, MW; Mindell, JS; Moon, G; Day, J; O'Donoghue, D; (2015) Exploration of chronic kidney disease prevalence estimates using new measures of kidney function in the health survey for England. PLoS One , 10 (2) , Article e0118676. 10.1371/journal.pone.0118676. Green open access

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Abstract

Chronic kidney disease (CKD) diagnosis relies on glomerular filtration rate (eGFR) estimation, traditionally using the creatinine-based Modification of Diet in Renal Disease (MDRD) equation. The Chronic Kidney Disease Epidemiology Collaboration (CKDEPI) equation performs better in estimating eGFR and predicting mortality and CKD progression risk. Cystatin C is an alternative glomerular filtration marker less influenced by muscle mass. CKD risk stratification is improved by combining creatinine eGFR with cystatin C and urinary albumin to creatinine ratio (uACR). We aimed to identify the impact of introducing CKDEPI and cystatin C on the estimated prevalence and risk stratification of CKD in England and to describe prevalence and associations of cystatin C.

Type: Article
Title: Exploration of chronic kidney disease prevalence estimates using new measures of kidney function in the health survey for England
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1371/journal.pone.0118676
Publisher version: http://dx.doi.org/10.1371/journal.pone.0118676
Language: English
Additional information: © 2015 Fraser et al. This is an open access article distributed under the terms of the Creative Commons Attribution License [ http://creativecommons.org/licenses/by/4.0/ ], which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health > Epidemiology and Public Health
URI: https://discovery.ucl.ac.uk/id/eprint/1464642
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