Multicentre validation of the CamGFR model for estimated glomerular filtration rate

Williams, E. H. et al. (2019) Multicentre validation of the CamGFR model for estimated glomerular filtration rate. JNCI Cancer Spectrum, (doi: 10.1093/jncics/pkz068) (Early Online Publication)

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Abstract

Important oncological management decisions rely on kidney function assessed by serum creatinine-based estimated glomerular filtration rate (eGFR). However, no large-scale multicentre comparison of methods to determine eGFR in patients with cancer are available. To compare the performance of formulas for eGFR based on routine clinical parameters and serum creatinine not calibrated with isotope dilution mass spectrometry (non-IDMS), we studied 3,620 patients with cancer and 166 without cancer who had their GFR measured with an exogenous nuclear tracer at one of seven clinical centres. The mean measured GFR was 86 ml/min. Accuracy of all models was centre-dependent, reflecting inter-centre variability of non-IDMS creatinine measurements. CamGFR was the most accurate model for eGFR (root-mean-squared-error (RMSE) 17.3 ml/min) followed by the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) model (RMSE 18.2 ml/min).

Item Type:Articles
Additional Information:This work was supported by Cancer Research UK (EW, TJ: C42738/A24868); National Institute for Health Research Cambridge Biomedical Research Centre (HE); National Institute for Health Research UK Academic Clinical Fellowship (CMC); and National Intitute of Health USA Cancer Center support grant (TJ: 5P30CA045508-31).
Status:Early Online Publication
Refereed:Yes
Glasgow Author(s) Enlighten ID:Mark, Dr Patrick
Authors: Williams, E. H., Connell, C. M., Weaver, J. M.J., Beh, I., Potts, H., Whitley, C. T., Bird, N., Al-Sayed, T., Monaghan, P., Fehr, M., Cathomas, R., Bertelli, G., Quinton, A., Lewis, P., Shamash, J., Wilson, P., Dooley, M., Poole, S., Mark, P. B., Bookman, M. A., Earl, H., Jodrell, D., Tavaré, S., Lynch, A. G., and Janowitz, T.
College/School:College of Medical Veterinary and Life Sciences > Institute of Cardiovascular and Medical Sciences
Journal Name:JNCI Cancer Spectrum
Publisher:Oxford University Press
ISSN:2515-5091
ISSN (Online):2515-5091
Published Online:19 September 2019
Copyright Holders:Copyright © 2019 The Authors
First Published:First published in JNCI Cancer Spectrum 2019
Publisher Policy:Reproduced under a Creative Commons License

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