Standardization of serum creatinine is essential for accurate use of unbiased estimated GFR equations: evidence from three cohorts matched on renal function

Author:

Pottel Hans1ORCID,Cavalier Etienne2,Björk Jonas34ORCID,Nyman Ulf5,Grubb Anders67,Ebert Natalie8ORCID,Schaeffner Elke8,Eriksen Björn O9,Melsom Toralf9,Lamb Edmund J10,Mariat Christophe11,Dubourg Laurence12,Hansson Magnus13,Littmann Karin14,Sundin Per-Ola15ORCID,Åkesson Anna34,Larsson Anders16,Rule Andrew17,Delanaye Pierre1819ORCID

Affiliation:

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

2. Department of Clinical Chemistry, University of Liège , CHU Sart Tilman, Liège , Belgium

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

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

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

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

7. Lund University , Lund , , Sweden

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

9. Section of Nephrology, University Hospital of North Norway and Metabolic and Renal Research Group, UiT The Arctic University of Norway , Tromsö , Norway

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

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

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

13. Function area Clinical Chemistry, Karolinska University Laboratory, Karolinska University Hospital Huddinge and Department of Laboratory Medicine, Karolinska Institute , Stockholm , Sweden

14. Division of Clinical Chemistry, Department of Laboratory Medicine, Karolinska Institute , Huddinge, Sweden

15. Department of Geriatrics, School of Medical Sciences, Örebro University , Örebro, Sweden

16. Department of Medical Sciences, Clinical Chemistry, Uppsala University , Uppsala , Sweden

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

18. Nephrology-Dialysis-Transplantation, University of Liège , CHU Sart Tilman, Liège, Belgium

19. Department of Nephrology-Dialysis-Apheresis , Hôpital Universitaire Carémeau, Nîmes, France

Abstract

ABSTRACT Background Differences in the performance of estimated glomerular filtration rate (eGFR) equations have been attributed to the mathematical form of the equations and to differences between patient demographics and measurement methods. We evaluated differences in serum creatinine (SCr) and eGFR in cohorts matched for age, sex, body mass index (BMI) and measured GFR (mGFR). Methods White North Americans from Minnesota (n = 1093) and the Chronic Renal Insufficiency Cohort (CRIC) (n = 1548) and White subjects from the European Kidney Function Consortium (EKFC) cohort (n = 7727) were matched for demographic patient characteristics (sex, age ± 3 years, BMI ± 2.5 kg/m2) and renal function (mGFR ± 3 ml/min/1.73 m2). SCr was measured with isotope dilution mass spectrometry (IDMS)-traceable assays in the Minnesota and EKFC cohorts and with non-standardized SCr assays recalculated to IDMS in the CRIC. The Minnesota cohort and CRIC shared a common method to measure GFR (renal clearance of iothalamate), while the EKFC cohort used a variety of exogenous markers and methods, all with recognized sufficient accuracy. We compared the SCr levels and eGFR predictions [for Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) and EKFC equations] of patients fulfilling these matching criteria. Results For 305 matched individuals, mean SCr (mg/dL) was not different between the Minnesota and EKFC cohorts (females 0.83 ± 0.20 versus 0.86 ± 0.23, males 1.06 ± 0.23 versus 1.12 ± 0.37; P > .05) but significantly different from the CRIC [females 1.13 ± 0.23 (P < .0001), males 1.42 ± 0.31 (P < .0001)]. The CKD-EPI equations performed better than the EKFC equation in the CRIC, while the opposite was true in the Minnesota and EKFC cohorts. Conclusion Significant differences in SCr concentrations between the Minnesota and EKFC cohorts versus CRIC were observed in subjects with the same level of mGFR and equal demographic characteristics and can be explained by the difference in SCr calibration.

Funder

National Institute of Diabetes and Digestive and Kidney Diseases

Publisher

Oxford University Press (OUP)

Subject

Transplantation,Nephrology

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