Multicenter validation of the CamGFR model for estimated glomerular filtration rate

Edward H. Williams; Claire M. Connell; James M.J. Weaver; Ian Beh; Harry Potts; Cameron T. Whitley; Nicholas Bird; Tamer Al-Sayed; Phillip J. Monaghan; Martin Fehr; Richard Cathomas; Gianfilippo Bertelli; Amy Quinton; Paul Lewis; Jonathan Shamash; Peter Wilson; Michael Dooley; Susan Poole; Patrick B. Mark; Michael A. Bookman; Helena Earl; Duncan Jodrell; Simon Tavare; Andy G. Lynch; Tobias Janowitz

doi:10.1093/jncics/pkz068

Multicenter validation of the CamGFR model for estimated glomerular filtration rate

Edward H. Williams, Claire M. Connell, James M.J. Weaver, Ian Beh, Harry Potts, Cameron T. Whitley, Nicholas Bird, Tamer Al-Sayed, Phillip J. Monaghan, Martin Fehr, Richard Cathomas, Gianfilippo Bertelli, Amy Quinton, Paul Lewis, Jonathan Shamash, Peter Wilson, Michael Dooley, Susan Poole, Patrick B. Mark, Michael A. BookmanHelena Earl, Duncan Jodrell, Simon Tavare, Andy G. Lynch, Tobias Janowitz

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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 multicenter comparisons 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, we studied 3620 patients with cancer and 166 without cancer who had their glomerular filtration rate (GFR) measured with an exogenous nuclear tracer at one of seven clinical centers. The mean measured GFR was 86 mL/min. Accuracy of all models was center dependent, reflecting intercenter variability of isotope dilution mass spectrometry-creatinine measurements. CamGFR was the most accurate model for eGFR (root-mean-squared error 17.3 mL/min) followed by the Chronic Kidney Disease Epidemiology Collaboration model (root-mean-squared error 18.2 mL/min).

Original language	English
Article number	pkz068
Number of pages	4
Journal	JNCI Cancer Spectrum
Volume	3
Issue number	4
DOIs	https://doi.org/10.1093/jncics/pkz068
Publication status	Published - 1 Dec 2019

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Williams, E. H., Connell, C. M., Weaver, J. M. J., Beh, I., Potts, H., Whitley, C. T., Bird, N., Al-Sayed, T., Monaghan, P. J., Fehr, M., Cathomas, R., Bertelli, G., Quinton, A., Lewis, P., Shamash, J., Wilson, P., Dooley, M., Poole, S., Mark, P. B., ... Janowitz, T. (2019). Multicenter validation of the CamGFR model for estimated glomerular filtration rate. JNCI Cancer Spectrum, 3(4), Article pkz068. https://doi.org/10.1093/jncics/pkz068

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title = "Multicenter validation of the CamGFR model for estimated glomerular filtration rate",

abstract = "Important oncological management decisions rely on kidney function assessed by serum creatinine-based estimated glomerular filtration rate (eGFR). However, no large-scale multicenter comparisons 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, we studied 3620 patients with cancer and 166 without cancer who had their glomerular filtration rate (GFR) measured with an exogenous nuclear tracer at one of seven clinical centers. The mean measured GFR was 86 mL/min. Accuracy of all models was center dependent, reflecting intercenter variability of isotope dilution mass spectrometry-creatinine measurements. CamGFR was the most accurate model for eGFR (root-mean-squared error 17.3 mL/min) followed by the Chronic Kidney Disease Epidemiology Collaboration model (root-mean-squared error 18.2 mL/min).",

author = "Williams, {Edward H.} and Connell, {Claire M.} and Weaver, {James M.J.} and Ian Beh and Harry Potts and Whitley, {Cameron T.} and Nicholas Bird and Tamer Al-Sayed and Monaghan, {Phillip J.} and Martin Fehr and Richard Cathomas and Gianfilippo Bertelli and Amy Quinton and Paul Lewis and Jonathan Shamash and Peter Wilson and Michael Dooley and Susan Poole and Mark, {Patrick B.} and Bookman, {Michael A.} and Helena Earl and Duncan Jodrell and Simon Tavare and Lynch, {Andy G.} and Tobias Janowitz",

year = "2019",

month = dec,

day = "1",

doi = "10.1093/jncics/pkz068",

language = "English",

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Williams, EH, Connell, CM, Weaver, JMJ, Beh, I, Potts, H, Whitley, CT, Bird, N, Al-Sayed, T, Monaghan, PJ, Fehr, M, Cathomas, R, Bertelli, G, Quinton, A, Lewis, P, Shamash, J, Wilson, P, Dooley, M, Poole, S, Mark, PB, Bookman, MA, Earl, H, Jodrell, D, Tavare, S, Lynch, AG & Janowitz, T 2019, 'Multicenter validation of the CamGFR model for estimated glomerular filtration rate', JNCI Cancer Spectrum, vol. 3, no. 4, pkz068. https://doi.org/10.1093/jncics/pkz068

TY - JOUR

T1 - Multicenter validation of the CamGFR model for estimated glomerular filtration rate

AU - Williams, Edward H.

AU - Connell, Claire M.

AU - Weaver, James M.J.

AU - Beh, Ian

AU - Potts, Harry

AU - Whitley, Cameron T.

AU - Bird, Nicholas

AU - Al-Sayed, Tamer

AU - Monaghan, Phillip J.

AU - Fehr, Martin

AU - Cathomas, Richard

AU - Bertelli, Gianfilippo

AU - Quinton, Amy

AU - Lewis, Paul

AU - Shamash, Jonathan

AU - Wilson, Peter

AU - Dooley, Michael

AU - Poole, Susan

AU - Mark, Patrick B.

AU - Bookman, Michael A.

AU - Earl, Helena

AU - Jodrell, Duncan

AU - Tavare, Simon

AU - Lynch, Andy G.

AU - Janowitz, Tobias

PY - 2019/12/1

Y1 - 2019/12/1

N2 - Important oncological management decisions rely on kidney function assessed by serum creatinine-based estimated glomerular filtration rate (eGFR). However, no large-scale multicenter comparisons 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, we studied 3620 patients with cancer and 166 without cancer who had their glomerular filtration rate (GFR) measured with an exogenous nuclear tracer at one of seven clinical centers. The mean measured GFR was 86 mL/min. Accuracy of all models was center dependent, reflecting intercenter variability of isotope dilution mass spectrometry-creatinine measurements. CamGFR was the most accurate model for eGFR (root-mean-squared error 17.3 mL/min) followed by the Chronic Kidney Disease Epidemiology Collaboration model (root-mean-squared error 18.2 mL/min).

AB - Important oncological management decisions rely on kidney function assessed by serum creatinine-based estimated glomerular filtration rate (eGFR). However, no large-scale multicenter comparisons 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, we studied 3620 patients with cancer and 166 without cancer who had their glomerular filtration rate (GFR) measured with an exogenous nuclear tracer at one of seven clinical centers. The mean measured GFR was 86 mL/min. Accuracy of all models was center dependent, reflecting intercenter variability of isotope dilution mass spectrometry-creatinine measurements. CamGFR was the most accurate model for eGFR (root-mean-squared error 17.3 mL/min) followed by the Chronic Kidney Disease Epidemiology Collaboration model (root-mean-squared error 18.2 mL/min).

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DO - 10.1093/jncics/pkz068

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SN - 2515-5091

VL - 3

JO - JNCI Cancer Spectrum

JF - JNCI Cancer Spectrum

IS - 4

M1 - pkz068

ER -

Multicenter validation of the CamGFR model for estimated glomerular filtration rate

Abstract

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