title: Evaluation of renal graft function based on standard mathematical formulas.
abstract: BACKGROUND
  Creatinine is a standard marker for estimation of the transplanted kidney function. Concentration values are used in mathematical equations for GFR (glomerular filtration rate) calculation, with MDRD (modification diet in renal disease) being most commonly used. Cystatin C is an alternative marker for changes in glomerular filtration, which is also used in eGFR (estimated GFR) formulas. The aim of this study was to reveal eGFR <60 ml/min/1.72 m(2) in a population of patients after renal transplant, with stable graft function, using different formulas. MatERIAL AND METHODS: A group of 100 patients (56 females and 44 males) aged 20-78 years, took part in this study. Renal transplantation was conducted from 10 years to 10 months prior to the study. Estimated GFR was calculated with 4 formulas: MDRD, CKD-EPI (Chronic Kidney Disease Epidemiology Collaboration), CKD-EPI cys (using cystatin C), and CKD-EPI mix (using creatinine and cystatin C). We used electronic calculators available on the National Kidney Foundation and the Nephron Information Center websites.
  
  
  RESULTS
  The occurrence of eGFR values <60 ml/min/1.73 m(2) was 28% according to MDRD formula, 23% according to CKD-EPI, 25% according to CDK-EPI cys, and 26%according to CDK-EPI mix.
  
  
  CONCLUSIONS
  Occurrence of GFR <60 ml/min/0.73 m(2) was the highest when calculated by MDRD formula, and the lowest when calculation was done with CDK-EPI. The significant discrepancy with different eGFR formula testing suggests the need for further research to find the best marker and/or formula for graft function estimation.
authors.affiliation: Department of General Surgery and Transplantation, Pomeranian Medical University, Szczecin, Poland.
authors.forename: Jerzy
authors.initials: J
authors.lastname: Sieńko
authors.affiliation: Department of Nephrology, Transplantology and Internal Diseases, Pomeranian Medical University, Szczecin, Poland.
authors.forename: Agata
authors.initials: A
authors.lastname: Jasiczek
authors.affiliation: Department of Immunology, Transplant Medicine and Internal Diseases, Medical University of Warsaw, Warsaw, Poland.
authors.forename: Leszek
authors.initials: L
authors.lastname: Pączek
authors.affiliation: Department of Immunology, Transplant Medicine and Internal Diseases, Medical University of Warsaw, Warsaw, Poland.
authors.forename: Aleksandra
authors.initials: A
authors.lastname: Wyczałkowska-Tomasik
authors.affiliation: Department of General Surgery and Transplantation, Pomeranian Medical University, Szczecin, Poland.
authors.forename: Maciej
authors.initials: M
authors.lastname: Kotowski
authors.affiliation: Department of General Surgery and Transplantation, Pomeranian Medical University, Szczecin, Poland.
authors.forename: Adam
authors.initials: A
authors.lastname: Nowacki
authors.affiliation: Department of General Surgery and Transplantation, Pomeranian Medical University, Szczecin, Poland.
authors.forename: Tadeusz
authors.initials: T
authors.lastname: Sulikowski
authors.affiliation: Department of General Surgery and Transplantation, Pomeranian Medical University, Szczecin, Poland.
authors.forename: Maciej
authors.initials: M
authors.lastname: Romanowski
authors.affiliation: Department of General Surgery and Transplantation, Pomeranian Medical University, Szczecin, Poland.
authors.forename: Marek
authors.initials: M
authors.lastname: Ostrowski
mesh_terms: D000328:Adult; D000368:Aged; D015415:Biomarkers / Q000097:blood; D003404:Creatinine / Q000097:blood; D055316:Cystatin C / Q000097:blood; D005260:Female; D005919:Glomerular Filtration Rate; D006801:Humans; D007677:Kidney Function Tests / Q000379:methods* / Q000706:statistics & numerical data; D016030:Kidney Transplantation; D008297:Male; D008875:Middle Aged; D055815:Young Adult
chemical_list: D015415:Biomarkers; C525030:CST3 protein, human; D055316:Cystatin C; D003404:Creatinine