title: Creatinine-based equations predicting chronic kidney disease after kidney donation.
abstract: BACKGROUND
  Kidney donation is associated with few adverse outcomes in living donors. The aim of this study was to evaluate the outcomes of living kidney donors and the utility of creatinine-based equations to predict chronic kidney disease.
  
  
  METHODS
  The study population was selected among 154 living kidney donors from 2001 to 2009. Seventy-eight patients underwent medical consultation to review demographic data and perform laboratory evaluations. Estimated glomerular filtration rate (GFR) values were obtained by three equations: Modification of Diet in Renal Disease (MDRD), Cockcroft-Gault (C-G) and Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI). Receiver operating characteristic (ROC) analysis was performed to determine the area under the curve of each equation to predict evolution to chronic kidney disease.
  
  
  RESULTS
  The overall median age was 39 years including 64% of women subjects. The mean follow-up after kidney donation was 65 ± 34 months. During follow-up, 20.5% of patients developed hypertension. Serum creatinine values above 1.5 mg/dL were detected in 14.1% of cases. Dyslipidemia was present in 33.3% of donors at the last follow-up. According to measured creatinine clearance and the C-G equation, only four and six donors had renal failure (defined as GFR < 60 mL/min), a number that increased to 23 (29.4%) when considering the MDRD or CKD-EPI equations (P < .05). ROC curves performed to explore the GFR measurements to predict renal failure occurrence after donation showed the CKD-EPI to be the only one with a significant area under the curve (0.7442, P = .003).
  
  
  CONCLUSIONS
  Living kidney donors should receive careful long-term follow-up. Assessment of renal function before donation using CKD-EPI creatinine-based equations must be performed preferentially. A careful approach should be adopted for the detection and treatment of other complications such as hypertension and dyslipidemia.
authors.affiliation: Division of Nephrology, Hospital Geral de Fortaleza, Fortaleza, Ceará, Brazil; School of Medicine, University of Fortaleza, Fortaleza, Ceará, Brazil.
authors.forename: A B
authors.initials: AB
authors.lastname: Libório
authors.forename: R M
authors.initials: RM
authors.lastname: Barros
authors.forename: R M
authors.initials: RM
authors.lastname: Esmeraldo
authors.forename: M L M B
authors.initials: ML
authors.lastname: Oliveira
authors.forename: G B
authors.initials: GB
authors.lastname: Silva
authors.forename: E F
authors.initials: EF
authors.lastname: Daher
mesh_terms: D000328:Adult; D003404:Creatinine / Q000652:urine*; D005260:Female; D005919:Glomerular Filtration Rate; D006801:Humans; D007676:Kidney Failure, Chronic / Q000503:physiopathology / Q000652:urine*; D019520:Living Donors; D008297:Male; D008875:Middle Aged; D011237:Predictive Value of Tests; D012372:ROC Curve
chemical_list: D003404:Creatinine