Data on the relation between renal biomarkers and measured glomerular filtration rate

Hans Pottel; Laurence Dubourg; Elke Schaeffner; Bjørn Odvar Eriksen; Toralf Melsom; Edmund J Lamb; Andrew D Rule; Stephen T Turner; Richard J Glassock; Vandréa De Souza; Luciano Selistre; Karolien Goffin; Steven Pauwels; Christophe Mariat; Martin Flamant; Sebastjan Bevc; Pierre Delanaye; Natalie Ebert

doi:10.1016/j.dib.2017.08.034

Data on the relation between renal biomarkers and measured glomerular filtration rate

Data Brief. 2017 Sep 1:14:763-772. doi: 10.1016/j.dib.2017.08.034. eCollection 2017 Oct.

Authors

Hans Pottel¹, Laurence Dubourg², Elke Schaeffner³, Bjørn Odvar Eriksen⁴, Toralf Melsom⁴, Edmund J Lamb⁵, Andrew D Rule⁶, Stephen T Turner⁶, Richard J Glassock⁷, Vandréa De Souza⁸, Luciano Selistre^{8

9}, Karolien Goffin¹⁰, Steven Pauwels¹¹, Christophe Mariat¹², Martin Flamant¹³, Sebastjan Bevc¹⁴, Pierre Delanaye¹⁵, Natalie Ebert³

Affiliations

¹ Department of Public Health and Primary Care, KU Leuven Campus Kulak Kortrijk, Kortrijk, Belgium.
² Exploration Fonctionnelle Rénale, Groupement Hospitalier Edouard Herriot, Hospices Civils de Lyon, Lyon, France.
³ Charité University Hospital, Institute of Public Health, Berlin, Germany.
⁴ Metabolic and Renal Research Group, UiT The Arctic University of Norway, Tromsø, Norway.
⁵ Clinical Biochemistry, East Kent Hospitals University NHS Foundation Trust, Canterbury, Kent, United Kingdom.
⁶ Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, USA.
⁷ Emeritus Professor of Medicine, Geffen School of Medicine at UCLA, Laguna Niguel, CA, USA.
⁸ Universidade de Caxias do Sul - Programa de Pós Graduação em Ciências da Saúde, Brazil.
⁹ Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, Brazil.
¹⁰ Department of Nuclear Medicine & Molecular Imaging, University Hospital Leuven, Leuven, Belgium.
¹¹ Department of Cardiovascular Sciences, Department of Laboratory Medicine, University Hospital Leuven, Leuven, Belgium.
¹² Service de Néphrologie, Dialyse et Transplantation Rénale, Hôpital Nord, CHU de Saint-Etienne, France.
¹³ Department of Renal Physiology, Hôpital Bichat, AP-HP and Paris Diderot University, Paris, France.
¹⁴ University Medical Centre Maribor, Clinic for Internal Medicine, Department of Nephrology, Maribor, Slovenia.
¹⁵ Nephrology-Dialysis-Transplantation, University of Liège, CHU Sart Tilman, Liège, Belgium.

Abstract

The data presented in this article are related to the research article entitled "The Diagnostic Value of Rescaled Renal Biomarkers Serum Creatinine and Serum Cystatin C and their Relation with Measured Glomerular Filtration Rate" (Pottel et al. (2017) [1]). Data are presented demonstrating the rationale for the normalization or rescaling of serum cystatin C, equivalent to the rescaling of serum creatinine. Rescaling biomarkers brings them to a notionally common scale with reference interval [0.67-1.33]. This article illustrates the correlation between rescaled biomarkers serum creatinine and serum cystatin C by plotting them in a 2-dimensional graph. The diagnostic value in terms of sensitivity and specificity with measured Glomerular Filtration Rate as the reference method is calculated per age-decade for both rescaled biomarkers. Finally, the interchangeability between detecting impaired kidney function from renal biomarkers and from the Full Age Spectrum FAS-estimating GFR-equation and measured GFR using a fixed and an age-dependent threshold is shown.

Keywords: Measured glomerular filtration rate; Serum creatinine; Serum cystatin C.

Grants and funding

U54 DK100227/DK/NIDDK NIH HHS/United States