Literature DB >> 16702203

Are prediction equations for glomerular filtration rate useful for the long-term monitoring of type 2 diabetic patients?

Néstor Fontseré1, Isabel Salinas, Jordi Bonal, Beatriz Bayés, Joaquim Riba, Ferran Torres, Jose Rios, Ana Sanmartí, Ramón Romero.   

Abstract

BACKGROUND: The aim of this study was to compare the accuracy of prediction equations [modification of diet in renal disease (MDRD), simplified MDRD, Cockcroft-Gault (CG), reciprocal of creatinine and creatinine clearance] in a cohort of patients with type 2 diabetes.
METHODS: A total of 525 glomerular filtration rates (GFRs) using (125)I-iothalamate were carried out over 10 years in 87 type 2 diabetic patients. Accuracy was evaluated at three levels of renal function according to the baseline values obtained with the isotopic method: hyperfiltration (GFR: >140 ml/min/1.73 m(2); 140 isotopic determinations in 27 patients), normal renal function (GFR: 140-90 ml/min/1.73 m(2); 294 isotopic determinations in 47 patients) and chronic kidney disease (CKD) stages 2-3 (GFR: 30-89 ml/min/1.73 m(2); 87 isotopic determinations in 13 patients). The annual slope for GFR (change in GFR expressed as ml/min/year) was considered to ascertain the variability in the equations compared with the isotopic method during follow-up. Student's t-test was used to determine the existence of significant differences between prediction equations and the isotopic method (P < 0.05 with Bonferroni adjusted for five contrast tests).
RESULTS: In the subgroup of patients with hyperfiltration, a GFR slope calculated with (125)I-iothalamate -4.8 +/- 4.7 ml/min/year was obtained. GFR slope in patients with normal renal function was -3.0 +/- 2.3 ml/min/year. In both situations, all equations presented a significant underestimation compared with the isotopic GFR (P < 0.01; P < 0.05). In the subgroup of CKD stages 2-3, the slope for GFR with (125)I-iothalamate was -1.4 +/- 1.8 ml/min/year. The best prediction equation compared with the isotopic method proved to be MDRD with a slope for GFR of -1.4 +/- 1.3 ml/min/year (P: NS) compared with the CG formula -1.0 +/- 0.9 ml/min/year (P: NS). Creatinine clearance presented the greatest variability in estimation (P < 0.001).
CONCLUSIONS: In the normal renal function and hyperfiltration groups, none of the prediction equations demonstrated acceptable accuracy owing to excessive underestimation of renal function. In CKD stages 2-3, with mean serum creatinine > or =133 micromol/l (1.5 mg/dl), the MDRD equation can be used to estimate GFR during the monitoring and follow-up of patients with type 2 diabetes receiving insulin, anti-diabetic drugs or both.

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Year:  2006        PMID: 16702203     DOI: 10.1093/ndt/gfl221

Source DB:  PubMed          Journal:  Nephrol Dial Transplant        ISSN: 0931-0509            Impact factor:   5.992


  17 in total

Review 1.  A systematic review of glomerular hyperfiltration assessment and definition in the medical literature.

Authors:  Francois Cachat; Christophe Combescure; Michel Cauderay; Eric Girardin; Hassib Chehade
Journal:  Clin J Am Soc Nephrol       Date:  2015-01-07       Impact factor: 8.237

2.  Estimated glomerular filtration rate is a poor predictor of concentration for a broad range of uremic toxins.

Authors:  Sunny Eloot; Eva Schepers; Daniela V Barreto; Fellype C Barreto; Sophie Liabeuf; Wim Van Biesen; Francis Verbeke; Griet Glorieux; Gabriel Choukroun; Ziad Massy; Raymond Vanholder
Journal:  Clin J Am Soc Nephrol       Date:  2011-05-26       Impact factor: 8.237

Review 3.  Methods of Estimating Kidney Function for Drug Dosing in Special Populations.

Authors:  Laura A Hart; Gail D Anderson
Journal:  Clin Pharmacokinet       Date:  2018-08       Impact factor: 6.447

4.  A comparison of change in measured and estimated glomerular filtration rate in patients with nondiabetic kidney disease.

Authors:  Dawei Xie; Marshall M Joffe; Steven M Brunelli; Gerald Beck; Glenn M Chertow; Jeffrey C Fink; Tom Greene; Chi-yuan Hsu; John W Kusek; Richard Landis; James Lash; Andrew S Levey; Andrew O'Conner; Akinlolu Ojo; Mahboob Rahman; Raymond R Townsend; Hao Wang; Harold I Feldman
Journal:  Clin J Am Soc Nephrol       Date:  2008-07-30       Impact factor: 8.237

5.  Large kidneys predict poor renal outcome in subjects with diabetes and chronic kidney disease.

Authors:  Vincent Rigalleau; Magalie Garcia; Catherine Lasseur; François Laurent; Michel Montaudon; Christelle Raffaitin; Nicole Barthe; Marie-Christine Beauvieux; Benoit Vendrely; Philippe Chauveau; Christian Combe; Henri Gin
Journal:  BMC Nephrol       Date:  2010-03-03       Impact factor: 2.388

6.  The correlation between kidney volume and measured glomerular filtration rate in an Asian ADPKD population: a prospective cohort study.

Authors:  Bunyong Phakdeekitcharoen; Watcharapong Treesinchai; Pornphan Wibulpolprasert; Sarinya Boongird; Pinkael Klytrayong
Journal:  BMC Nephrol       Date:  2021-05-15       Impact factor: 2.388

7.  Glomerular hyperfiltration and renal disease progression in type 2 diabetes.

Authors:  Piero Ruggenenti; Esteban L Porrini; Flavio Gaspari; Nicola Motterlini; Antonio Cannata; Fabiola Carrara; Claudia Cella; Silvia Ferrari; Nadia Stucchi; Aneliya Parvanova; Ilian Iliev; Alessandro Roberto Dodesini; Roberto Trevisan; Antonio Bossi; Jelka Zaletel; Giuseppe Remuzzi
Journal:  Diabetes Care       Date:  2012-07-06       Impact factor: 19.112

8.  Measuring and estimating GFR and treatment effect in ADPKD patients: results and implications of a longitudinal cohort study.

Authors:  Piero Ruggenenti; Flavio Gaspari; Antonio Cannata; Fabiola Carrara; Claudia Cella; Silvia Ferrari; Nadia Stucchi; Silvia Prandini; Bogdan Ene-Iordache; Olimpia Diadei; Norberto Perico; Patrizia Ondei; Antonio Pisani; Erasmo Buongiorno; Piergiorgio Messa; Mauro Dugo; Giuseppe Remuzzi
Journal:  PLoS One       Date:  2012-02-28       Impact factor: 3.240

9.  Accuracy and limitations of equations for predicting the glomerular filtration rate during follow-up of patients with non-diabetic nephropathies.

Authors:  Guy Rostoker; Pierre Andrivet; Isabelle Pham; Mireille Griuncelli; Serge Adnot
Journal:  BMC Nephrol       Date:  2009-06-25       Impact factor: 2.388

10.  Is the new Mayo Clinic Quadratic equation useful for the estimation of glomerular filtration rate in type 2 diabetic patients?

Authors:  Néstor Fontseré; Jordi Bonal; Isabel Salinas; Manel Ramírez de Arellano; Jose Rios; Ferran Torres; Anna Sanmartí; Ramón Romero
Journal:  Diabetes Care       Date:  2008-10-03       Impact factor: 17.152

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