Prospects for improved glomerular filtration rate estimation based on creatinine—results from a transnational multicentre study

Author:

Björk Jonas12,Nyman Ulf3,Courbebaisse Marie4,Couzi Lionel5,Dalton R Neil6,Dubourg Laurence7,Ebert Natalie8,Eriksen Björn O9,Gaillard Francois10ORCID,Garrouste Cyril11,Grubb Anders12,Hansson Magnus1314,Jacquemont Lola15,Jones Ian16,Kamar Nassim17,Lamb Edmund J18,Legendre Christophe19,Littmann Karin1314,Mariat Christophe20,Melsom Toralf9,Rostaing Lionel21ORCID,Rule Andrew D22,Schaeffner Elke8,Sundin Per-Ola16ORCID,Turner Stephen22,Åkesson Anna12,Delanaye Pierre23ORCID,Pottel Hans24

Affiliation:

1. Division of Occupational and Environmental Medicine, Lund University, Lund, Sweden

2. Clinical Studies Sweden, Forum South, Skåne University Hospital, Lund, Sweden

3. Department of Translational Medicine, Division of Medical Radiology, Lund University, Malmö, Sweden

4. Physiology Department, Georges Pompidou European Hospital, Assistance Publique Hôpitaux de Paris, Paris Descartes University, INSERM U1151-CNRS UMR8253, Paris, France

5. CHU de Bordeaux, Nephrologie–Transplantation–Dialyse, Université de Bordeaux, CNRS-UMR 5164 Immuno ConcEpT, Bordeaux, France

6. The Wellchild Laboratory, Evelina London Children’s Hospital, London, UK

7. Néphrologie, Dialyse, Hypertension et Exploration Fonctionnelle Rénale, Hôpital Edouard Herriot, Hospices Civils de Lyon, Lyon, France

8. Charité Universitätsmedizin Berlin, Institute of Public Health, Berlin, Germany

9. Metabolic and Renal Research Group, UiT The Arctic University of Norway, Tromsö, Norway

10. Renal Transplantation Department, Necker Hospital, Assistance Publique–Hôpitaux de Paris (AP-HP), Paris, France

11. Department of Nephrology, Clermont-Ferrand University Hospital, Clermont-Ferrand, France

12. Department of Clinical Chemistry, Skåne University Hospital Lund, Lund University, Lund, Sweden

13. Function area Clinical Chemistry, Karolinska University Laboratory, Karolinska University Hospital Huddinge, Stockholm, Sweden

14. Department of Laboratory Medicine, Karolinska Institute, Karolinska University Hospital Huddinge, Stockholm, Sweden

15. Renal Transplantation Department, CHU Nantes, Nantes University, Nantes, France

16. Department of Clinical Epidemiology and Biostatistics, School of Medical Sciences, Örebro University, Örebro, Sweden

17. Department of Nephrology, Dialysis and Organ Transplantation, CHU Rangueil, INSERM U1043, IFR–BMT, University Paul Sabatier, Toulouse, France

18. Clinical Biochemistry, East Kent Hospitals University NHS Foundation Trust, Canterbury, UK

19. Hôpital Necker, AP-HP & Université Paris Descartes, Paris, France

20. Service de Néphrologie, Dialyse et Transplantation Rénale, Hôpital Nord, CHU de Saint-Etienne, France

21. Service de Néphrologie, Hémodialyse, Aphérèses et Transplantation Rénale, Hôpital Michallon, CHU Grenoble-Alpes, La Tronche, France

22. Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, USA

23. Department of Nephrology-Dialysis-Transplantation, University of Liège (ULg CHU), CHU Sart Tilman, Liège, Belgium

24. Department of Public Health and Primary Care, KU Leuven Campus Kulak Kortrijk, Kortrijk, Belgium

Abstract

Abstract Background The Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) creatinine equation is routinely used to assess renal function but exhibits varying accuracy depending on patient characteristics and clinical presentation. The overall aim of the present study was to assess if and to what extent glomerular filtration rate (GFR) estimation based on creatinine can be improved. Methods In a cross-sectional analysis covering the years 2003–17, CKD-EPI was validated against measured GFR (mGFR; using various tracer methods) in patients with high likelihood of chronic kidney disease (CKD; five CKD cohorts, n = 8365) and in patients with low likelihood of CKD (six community cohorts, n = 6759). Comparisons were made with the Lund–Malmö revised equation (LMR) and the Full Age Spectrum equation. Results 7In patients aged 18–39 years old, CKD-EPI overestimated GFR with 5.0–16 mL/min/1.73 m2 in median in both cohort types at mGFR levels <120 mL/min/1.73 m2. LMR had greater accuracy than CKD-EPI in the CKD cohorts (P30, the percentage of estimated GFR within 30% of mGFR, 83.5% versus 76.6%). CKD-EPI was generally the most accurate equation in the community cohorts, but all three equations reached P30 above the Kidney Disease Outcomes Quality Initiative benchmark of 90%. Conclusions None of the evaluated equations made optimal use of available data. Prospects for improved GFR estimation procedures based on creatinine exist, particularly in young adults and in settings where patients with suspected or manifest CKD are investigated.

Funder

National Institute of Diabetes and Digestive and Kidney Diseases

NIDDK Central Repositories

Bordeaux University Hospital

Swedish Research Council

Publisher

Oxford University Press (OUP)

Subject

Transplantation,Nephrology

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