Multicenter Validation of the CamGFR Model for Estimated Glomerular Filtration Rate

Author:

Williams Edward H1ORCID,Connell Claire M123ORCID,Weaver James M J4,Beh Ian5,Potts Harry6ORCID,Whitley Cameron T6,Bird Nicholas2,Al-Sayed Tamer4,Monaghan Phillip J78ORCID,Fehr Martin9,Cathomas Richard10,Bertelli Gianfilippo11ORCID,Quinton Amy12,Lewis Paul13,Shamash Jonathan14,Wilson Peter14,Dooley Michael1516,Poole Susan1516ORCID,Mark Patrick B17ORCID,Bookman Michael A18ORCID,Earl Helena2319ORCID,Jodrell Duncan12ORCID,Tavaré Simon120ORCID,Lynch Andy G121ORCID,Janowitz Tobias12223ORCID

Affiliation:

1. Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK

2. Cambridge University Hospital NHS Trust, Cambridge, UK

3. Department of Oncology, University of Cambridge, UK

4. The Christie NHS Foundation Trust, Manchester, UK

5. Western General Hospital, Edinburgh, UK

6. School of Clinical Medicine, University of Cambridge, Cambridge, UK

7. The Christie Pathology Partnership, The Christie NHS Foundation Trust, Manchester, UK

8. University of Manchester, Faculty of Medical and Human Sciences, Institute of Inflammation and Repair, Manchester, UK

9. Clinic for Medical Oncology and Hematology, Cantonal Hospital St Gallen, Switzerland

10. Division of Oncology/Hematology, Cantonal Hospital Graubünden, Switzerland

11. Sussex Cancer Centre, Brighton and Sussex University Hospitals NHS Trust, Brighton, UK

12. Velindre Cancer Centre, Cardiff, UK

13. Institute of Life Science, Medical School, Swansea University, Swansea, UK

14. Department of Medical Oncology, St Bartholomew's Hospital, West Smithfield, London, UK

15. Alfred Health, Melbourne, Australia

16. Monash University, Melbourne, Australia

17. Institute of Cardiovascular and Medical Sciences, University of Glasgow, UK

18. Kaiser Permanente San Francisco, San Francisco, CA

19. NIHR Cambridge Biomedical Research Centre, Cambridge, UK

20. Columbia University, New York, NY

21. School of Medicine/School of Mathematics and Statistics, University of St Andrews, St Andrews, UK

22. Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, NY

23. Northwell Health, New York, NY

Abstract

AbstractImportant 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).

Funder

Cancer Research UK

National Institute of Health Research Cambridge Biomedical Research Centre

National Institute of Health Research UK Academic Clinical Fellowship

National Institutes of Health USA Cancer Center

Publisher

Oxford University Press (OUP)

Subject

Cancer Research,Oncology

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