Literature DB >> 19142021

Patterns and predictors of kidney function decline in the last year prior to dialysis.

Vanina Ambrogi1, Nathalie Thilly, Stéphanie Boini, Jean-Marc Virion, Michèle Kessler, Serge Briançon, Luc Frimat.   

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.

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Year:  2009        PMID: 19142021     DOI: 10.1159/000191199

Source DB:  PubMed          Journal:  Nephron Clin Pract        ISSN: 1660-2110


  5 in total

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2.  Variability in estimated glomerular filtration rate values is a risk factor in chronic kidney disease progression among patients with diabetes.

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Review 4.  Glomerular filtration rate as a kidney outcome of diabetic kidney disease: a focus on new antidiabetic drugs.

Authors:  Hyo Jin Kim; Sang Soo Kim; Sang Heon Song
Journal:  Korean J Intern Med       Date:  2022-04-04       Impact factor: 3.165

5.  Decline of kidney function during the pre-dialysis period in chronic kidney disease patients: a systematic review and meta-analysis.

Authors:  Cynthia J Janmaat; Merel van Diepen; Cheyenne Ce van Hagen; Joris I Rotmans; Friedo W Dekker; Olaf M Dekkers
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  5 in total

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