Vol. 111, No. 2, 2009
Free Abstract Article (Fulltext) Article (PDF 217 KB)
Original Paper
Patterns and Predictors of Kidney Function Decline in the Last Year prior to DialysisVanina Ambrogia, Nathalie Thillya, Stéphanie Boinia, Jean-Marc Viriona, Michèle Kesslerb, Serge Briançona, Luc Frimatb
aDepartment of Clinical Epidemiology and Evaluation, CEC-CIE6 Inserm, University Hospital of Nancy, EA 4003, Nancy University, Nancy, and
bDepartment of Nephrology, Brabois Hospital, University Hospital of Nancy, Vandoeuvre-lès-Nancy, France
Address of Corresponding Author
Nephron Clin Pract 2009;111:c95-c101 (DOI: 10.1159/000191199)
goto top of page Key Words
* Pre-end-stage renal disease
* Glomerular filtration rate decline
* Associated factors
* Dialysis planning
goto top of page Abstract
Background: Establishing a comprehensive characterization of kidney function decline before dialysis is necessary to predict dialysis onset and prepare patients for replacement therapy. Aims: To investigate kidney function as measured by pattern and rate of decline in glomerular filtration rate (GFR) over the year preceding dialysis and to identify factors associated with a nonlinear GFR decline. Methods: We enrolled patients beginning dialysis in Lorraine (France) in 2005 and 2006, who were referred to a nephrologist more than 4 months before dialysis and had received more than 3 predialysis serum creatinine tests. From medical records, we retrospectively collected demographic and clinical data, as well as biological data during nephrologist follow-up, limited to 1 year before dialysis. A curve of GFR evolution by time was drawn for each patient and his linearity was evaluated graphically and confirmed by R2 > 0.7. Factors associated with a nonlinear decline in GFR were identified by logistic regression. Results: A total of 342 patients were included; the mean length of predialysis nephrologist care was 10.0 ± 9.7 months and the median number of serum creatinine tests per patient was 9 . Among these patients, 185 (54.1%) showed a linear decline in GFR and 157 (45.9%) a nonlinear decline. Patients with cardiovascular disease were 2.6 times more likely to show a nonlinear than linear decline in GFR (p < 0.0001). Conclusion: For patients with a linear decline in GFR, but not those with a nonlinear decline, date of dialysis onset can be estimated.
Copyright © 2009 S. Karger AG, Basel
goto top of page Author Contacts
Dr. Nathalie Thilly
Service d'Epidémiologie et Evaluation Cliniques
CHU Nancy, CO n°34
FR-54035 Nancy Cedex (France)
Tel. +33 3 8385 2163, Fax +33 3 8385 1205, E-Mail n.thilly@chu-nancy.fr
goto top of page Article Information
Received: April 22, 2008
Accepted: July 31, 2008
Published online: January 13, 2009
Number of Print Pages : 7
Number of Figures : 3, Number of Tables : 3, Number of References : 22
http://content.karger.com/ProdukteDB/produkte.asp?Aktion=ShowAbstract&ArtikelNr=191199&Ausgabe=243497&ProduktNr=228539