Adam Shardlow
The clinical utility and cost impact of cystatin C measurement in the diagnosis and management of chronic kidney disease: A primary care cohort study
Shardlow, Adam; McIntyre, Natasha J.; Fraser, Simon D.S.; Roderick, Paul; Raftery, James; Fluck, Richard J.; McIntyre, Christopher W.; Taal, Maarten W.
Authors
Natasha J. McIntyre
Simon D.S. Fraser
Paul Roderick
James Raftery
Richard J. Fluck
Christopher W. McIntyre
Professor MAARTEN TAAL M.TAAL@NOTTINGHAM.AC.UK
PROFESSOR OF MEDICINE
Abstract
© 2017 Shardlow et al. Background: To reduce over-diagnosis of chronic kidney disease (CKD) resulting from the inaccuracy of creatinine-based estimates of glomerular filtration rate (GFR), UK and international guidelines recommend that cystatin-C-based estimates of GFR be used to confirm or exclude the diagnosis in people with GFR 45–59 ml/min/1.73 m2and no albuminuria (CKD G3aA1). Whilst there is good evidence for cystatin C being a marker of GFR and risk in people with CKD, its use to define CKD in this manner has not been evaluated in primary care, the setting in which most people with GFR in this range are managed. Methods and findings: A total of 1,741 people with CKD G3a or G3b defined by 2 estimated GFR (eGFR) values more than 90 days apart were recruited to the Renal Risk in Derby study between June 2008 and March 2010. Using Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equations, we compared GFR estimated from creatinine (eGFRcreat), cystatin C (eGFRcys), and both (eGFRcreat-cys) at baseline and over 5 years of follow-up. We analysed the proportion of participants with CKD G3aA1 reclassified to ‘no CKD’ or more advanced CKD with the latter two equations. We further assessed the impact of using cystatin-C-based eGFR in risk prediction equations for CKD progression and all-cause mortality and investigated non-GFR determinants of eGFRcys. Finally, we estimated the cost implications of implementing National Institute for Health and Care Excellence (NICE) guidance to use eGFRcysto confirm the diagnosis in people classified as CKD G3aA1 by eGFRcreat. Mean eGFRcyswas significantly lower than mean eGFRcreat(45.1 ml/min/1.73 m2, 95% CI 44.4 to 45.9, versus 53.6 ml/min/1.73 m2, 95% CI 53.0 to 54.1, P < 0.001). eGFRcysreclassified 7.7% (50 of 653) of those with CKD G3aA1 by eGFRcreatto eGFR ≥ 60 ml/min/1.73 m2. However, a much greater proportion (59.0%, 385 of 653) were classified to an eGFR category indicating more severe CKD. A similar pattern was seen using eGFRcreat-cys, but lower proportions were reclassified. Change in eGFRcreatand eGFRcysover 5 years were weakly correlated (r = 0.33, P < 0.001), but eGFRcysidentified more people as having CKD progression (18.2% versus 10.5%). Multivariable analysis using eGFRcreatas an independent variable identified age, smoking status, body mass index, haemoglobin, serum uric acid, serum albumin, albuminuria, and C reactive protein as non-GFR determinants of eGFRcys. Use of eGFRcysor eGFRcreat-cysdid not improve discrimination in risk prediction models for CKD progression and all-cause mortality compared to similar models with eGFRcreat. Application of the NICE guidance, which assumed cost savings, to participants with CKD G3aA1 increased the cost of monitoring by £23 per patient, which if extrapolated to be applied throughout England would increase the cost of testing and monitoring CKD by approximately £31 million per year. Limitations of this study include the lack of a measured GFR and the potential lack of ethnic diversity in the study cohort. Conclusions: Implementation of current guidelines on eGFRcystesting in our study population of older people in primary care resulted in only a small reduction in diagnosed CKD but classified a greater proportion as having more advanced CKD than eGFRcreat. Use of eGFRcysdid not improve risk prediction in this population and was associated with increased cost. Our data therefore do not support implementation of these recommendations in primary care. Further studies are warranted to define the most appropriate clinical application of eGFRcysand eGFRcreat-cys.
Citation
Shardlow, A., McIntyre, N. J., Fraser, S. D., Roderick, P., Raftery, J., Fluck, R. J., McIntyre, C. W., & Taal, M. W. (2017). The clinical utility and cost impact of cystatin C measurement in the diagnosis and management of chronic kidney disease: A primary care cohort study. PLoS Medicine, 14(10), Article e1002400. https://doi.org/10.1371/journal.pmed.1002400
Journal Article Type | Article |
---|---|
Acceptance Date | Sep 1, 2017 |
Online Publication Date | Oct 10, 2017 |
Publication Date | Oct 10, 2017 |
Deposit Date | Jan 21, 2021 |
Publicly Available Date | Jan 25, 2021 |
Journal | PLoS Medicine |
Print ISSN | 1549-1277 |
Electronic ISSN | 1549-1676 |
Publisher | Public Library of Science |
Peer Reviewed | Peer Reviewed |
Volume | 14 |
Issue | 10 |
Article Number | e1002400 |
DOI | https://doi.org/10.1371/journal.pmed.1002400 |
Public URL | https://nottingham-repository.worktribe.com/output/3600791 |
Publisher URL | https://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1002400#sec024 |
Files
Shardlow Cystatin C PLOS Med 2017
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Publisher Licence URL
https://creativecommons.org/licenses/by/4.0/
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