Browse by author
Lookup NU author(s): Dr Claire Welsh,
Dr Carlos Celis Morales
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
Chronic kidney disease is common in the general population and associated with excess cardiovascular disease (CVD), but kidney function does not feature in current CVD risk-prediction models. We tested three formulae for estimated glomerular filtration rate (eGFR) to determine which was the most clinically informative for predicting CVD and mortality. Using data from 440,526 participants from UK Biobank, eGFR was calculated using serum creatinine, cystatin C (eGFRcys) and creatinine-cystatin C. Associations of each eGFR with CVD outcome and mortality were compared using Cox models and adjusting for atherosclerotic risk factors (per relevant risk scores), and the predictive utility was determined by the C-statistic and categorical net reclassification index. We show that eGFRcys is most strongly associated with CVD and mortality, and, along with albuminuria, adds predictive discrimination to current CVD risk scores, whilst traditional creatinine-based measures are weakly associated with risk. Clinicians should consider measuring eGFRcys as part of cardiovascular risk assessment.
Author(s): Lees JS, Welsh CE, Celis-Morales CA, Mackay DF, Lewsey J, Gray SR, Lyall DM, Cleland JG, Gill JMR, Jhund PS, Pell J, Sattar N, Welsh P, Mark PB
Publication type: Article
Publication status: Published
Journal: Nature Medicine
Print publication date: 07/11/2019
Online publication date: 07/11/2019
Acceptance date: 26/09/2019
ISSN (print): 1078-8956
ISSN (electronic): 1546-170X
Publisher: Nature Publishing Group
Altmetrics provided by Altmetric