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This Article Full Text Full Text (PDF) 090126.Supplemental data All Versions of this Article: clinchem.2007.090126v1 53/11/1965    most recent Alert me when this article is cited Alert me if a correction is posted Citation Map Services Email this article to a friend Similar articles in this journal Similar articles in Web of Science Similar articles in PubMed Alert me to new issues of the journal Download to citation manager Citing Articles Citing Articles via HighWire Citing Articles via Web of Science (6) Citing Articles via Google Scholar Google Scholar Articles by White, C. A. Articles by Knoll, G. A. Search for Related Content PubMed PubMed Citation Articles by White, C. A. Articles by Knoll, G. A. Related Collections General Clinical Chemistry Proteomics and Protein Markers

A Novel Equation to Estimate Glomerular Filtration Rate Using Beta-Trace Protein

¹ Division of Nephrology, Department of Medicine, Queen’s University, Kingston, Canada; ² Division of Nephrology, Department of Medicine, University of Ottawa, Ottawa, Ontario, Canada; ³ Kidney Research Centre, The Ottawa Health Research Institute, Ottawa, Canada;⁴ Clinical Epidemiology Program, The Ottawa Health Research Institute, Ottawa, Canada; ⁵ Division of Nuclear Medicine, Department of Medicine, University of Ottawa, Ottawa, Canada; ⁶ Division of Nephrology, Department of Pediatrics, University of Western Ontario, London, Canada;⁷ Department of Laboratory Medicine, Children’s Hospital of Eastern Ontario and the University of Ottawa, Ottawa, Canada;

^aaddress correspondence to this author at: Division of Nephrology, The Ottawa Hospital, Riverside Campus, 1967 Riverside Dr., Ottawa, Ontario, Canada K1H 7W9; fax 613-738-8337, e-mail gknoll{at}ottawahospital.on.ca

Abstract

Background: Beta-trace protein (BTP) is a low molecular weight glycoprotein that is a more sensitive marker of glomerular filtration rate (GFR) than serum creatinine. The utility of BTP has been limited by the lack of an equation to translate BTP into an estimate of GFR. The objectives of this study were to develop a BTP-based GFR estimation equation.

Methods: We measured BTP and GFR by ^99mtechnetium-diethylenetriaminepentaacetic acid in 163 stable adult renal transplant recipients. Stepwise multiple regression models were created to predict GFR corrected for body surface area. The following variables were considered for entry into the model: BTP, urea, sex, albumin, creatinine, age, and race.

Results: BTP alone accounted for 75.6% of variability in GFR. The model that included all the predictor variables had the largest coefficient of determination (R²) at 0.821. The model with only BTP, urea, and sex had only a slightly lower R² of 0.81 and yielded the following equation: GFR mL · min^–1 · (1.73 m²)^–1 = 112.1 x BTP^–0.662 x Urea^–0.280 x (0.88 if female). A 2nd equation (R² = 0.79) using creatinine instead of urea was also developed: GFR mL · min^–1 · (1.73 m²)^–1 = 1.678 x BTP^–0.758 x creatinine^–0.204 x (0.871 if female).

Conclusions: We have shown that BTP can be used in a simple equation to estimate GFR. Further study is needed in other populations to determine accuracy and clinical utility of this equation.

The following articles in journals at HighWire Press have cited this article:

				U. Poge, T. Gerhardt, and R. P. Woitas Estimation of Glomerular Filtration Rate by Use of Beta-Trace Protein Clin. Chem., August 1, 2008; 54(8): 1403 - 1405. [Full Text] [PDF]

				L. Vynckier, V. Stove, and J. R. Delanghe Macromolecular Cystatin C Can Be a Caveat for Estimating Glomerular Filtration Rate in Biliary Obstruction Clin. Chem., July 1, 2008; 54(7): 1257 - 1259. [Full Text] [PDF]