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      Estimating glomerular filtration rate for the full age spectrum from serum creatinine and cystatin C

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          Abstract

          Background. We recently published and validated the new serum creatinine (Scr)-based full-age-spectrum equation (FAS crea) for estimating the glomerular filtration rate (GFR) for healthy and kidney–diseased subjects of all ages. The equation was based on the concept of normalized Scr and shows equivalent to superior prediction performance to the currently recommended equations for children, adolescents, adults and older adults.

          Methods. Based on an evaluation of the serum cystatin C (ScysC) distribution, we defined normalization constants for ScysC ( Q cysC = 0.82 mg/L for ages <70 years and Q cysC = 0.95 mg/L for ages ≥70 years). By replacing Scr/ Q crea in the FAS crea equation with ScysC/ Q cysC, or with the average of both normalized biomarkers, we obtained new ScysC-based (FAS cysC) and combined Scr-/ScysC-based FAS equations (FAS combi). To validate the new FAS cysC and FAS combi we collected data on measured GFR, Scr, ScysC, age, gender, height and weight from 11 different cohorts including n = 6132 unique white subjects (368 children, aged ≤18 years, 4295 adults and 1469 older adults, aged ≥70 years).

          Results. In children and adolescents, the new FAS cysC equation showed significantly better performance [percentage of patients within 30% of mGFR (P30) = 86.1%] than the Caucasian Asian Paediatric Adult Cohort equation (P30 = 76.6%; P < 0.0001), or the ScysC-based Schwartz equation (P30 = 68.8%; P < 0.0001) and the FAS combi equation outperformed all equations with P30 = 92.1% (P < 0.0001). In adults, the FAS cysC equation (P30 = 82.6%) performed equally as well as the Chronic Kidney Disease Epidemiology Collaboration equation (CKD-EPI cysC) (P30 = 80.4%) and the FAS combi equation (P30 = 89.9%) was also equal to the combined CKD-EPI equation (P30 = 88.2%). In older adults, FAS cysC was superior (P30 = 88.2%) to CKD-EPI cysC (P30 = 84.4%; P < 0.0001) and the FAS combi equation (P30 = 91.2%) showed significantly higher performance than the combined CKD-EPI equation (P30 = 85.6%) (P < 0.0001).

          Conclusion. The FAS equation is not only applicable to all ages, but also for all recommended renal biomarkers and their combinations.

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          Author and article information

          Journal
          Nephrol Dial Transplant
          Nephrol. Dial. Transplant
          ndt
          Nephrology Dialysis Transplantation
          Oxford University Press
          0931-0509
          1460-2385
          March 2017
          15 January 2017
          01 March 2018
          : 32
          : 3
          : 497-507
          Affiliations
          [1 ]Department of Public Health and Primary Care, KU Leuven Campus Kulak Kortrijk, Kortrijk, Belgium
          [2 ]Nephrology–Dialysis–Transplantation, University of Liège, CHU Sart Tilman, Liège, Belgium
          [3 ]Charité University Hospital, Institute of Public Health, Berlin, Germany
          [4 ]Exploration Fonctionnelle Rénale, Groupement Hospitalier Edouard Herriot, Hospices Civils de Lyon, Lyon, France
          [5 ]Metabolic and Renal Research Group, UiT The Arctic University of Norway, Tromsø, Norway
          [6 ]Clinical Biochemistry, East Kent Hospitals University NHS Foundation Trust, Canterbury, UK
          [7 ]Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, USA
          [8 ]Emeritus Professor of Medicine, Geffen School of Medicine at UCLA, Laguna Niguel, CA, USA
          [9 ]Universidade de Caxias do Sul - Programa de Pós Graduação em Ciências da Saúde, Brazil
          [10 ]Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, Brazil
          [11 ]Department of Nuclear Medicine & Molecular Imaging, University Hospital Leuven, Leuven, Belgium
          [12 ]Department of Cardiovascular Sciences, University Hospital Leuven, Leuven, Belgium
          [13 ]Department of Laboratory Medicine, University Hospital Leuven, Leuven, Belgium
          [14 ]Service de Néphrologie, Dialyse et Transplantation Rénale, Hôpital Nord, CHU de Saint-Etienne, France
          [15 ]Department of Renal Physiology, Hôpital Bichat, AP-HP and Paris Diderot University, Paris, France
          Author notes
          Correspondence and offprint requests to: Hans Pottel; E-mail: Hans.Pottel@ 123456kuleuven-kulak.be
          Article
          PMC5837496 PMC5837496 5837496 gfw425
          10.1093/ndt/gfw425
          5837496
          28089986
          ff01405c-b202-45ef-8145-d4ddb2eaf36d
          © The Author 2017. Published by Oxford University Press on behalf of ERA-EDTA. All rights reserved.
          History
          : 23 September 2016
          : 06 November 2016
          Page count
          Pages: 11
          Funding
          Funded by: National Institutes of Health 10.13039/100000002
          Funded by: National Institute of Diabetes and Digestive and Kidney Diseases 10.13039/100000062
          Award ID: 1 R01 DK073537
          Categories
          Original Articles
          CLINICAL SCIENCE
          Chronic Kidney Disease

          cystatin C,all ages,all renal biomarkers,combined FAS equation,serum creatinine

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