Reliability of Glomerular Filtration Rate Estimated by Creatinine-Based Formulas in Moderate to Severe Proteinuria.


Journal

Clinical journal of the American Society of Nephrology : CJASN
ISSN: 1555-905X
Titre abrégé: Clin J Am Soc Nephrol
Pays: United States
ID NLM: 101271570

Informations de publication

Date de publication:
24 Oct 2024
Historique:
received: 04 06 2024
accepted: 21 10 2024
medline: 25 10 2024
pubmed: 25 10 2024
entrez: 24 10 2024
Statut: aheadofprint

Résumé

Creatinine-based Glomerular Filtration rate (GFR) formulas introduce a substantial bias in GFR estimations in patients with frank nephrotic syndrome. The bias and accuracy of creatinine-based GFR estimates (eGFR) in patients with non-nephrotic proteinuria need better characterization. We utilized data from the Ramipril in non-diabetic renal failure (REIN 1) and REIN 2 trials involving non-diabetic chronic kidney disease (CKD) patients with proteinuria to compare eGFRs derived from the CKD Epidemiology Consortium (CKD-EPI)formulas (with and without race), and the European Kidney Function Consortium (EKFC) equations with iohexol clearance (a gold-standard GFR measure, measured glomerular filtration rate [mGFR]). Bias was defined as the median difference between eGFR and mGFR, while accuracy was assessed using P30 and P15 metrics, which represent the percentage of eGFR values within ±30% and ±15% of mGFR, respectively. The median bias of the three formulas being compared did not differ, being minimal and in a strict range (0.04 to 0.05 ml/ml/min/1.73m2) in the REIN 1 study and (-0.04 to -0.03 ml/min/1.73 m2) in the REIN 2 study. These findings were confirmed in analyses stratified by age and mGFR. The global accuracy of the three formulas regarding P30% showed sufficient accuracy (P30 >75%) in REIN 1 and all strata in REIN 2, but the mGFR stratum <15 ml/min/1.73m2. The CKD-EPI (with and without race), and EKFC equations show no significant bias and sufficient accuracy in patients with proteinuria. These formulas can be safely applied to non-diabetic CKD patients with moderate to severe proteinuria.

Sections du résumé

BACKGROUND BACKGROUND
Creatinine-based Glomerular Filtration rate (GFR) formulas introduce a substantial bias in GFR estimations in patients with frank nephrotic syndrome. The bias and accuracy of creatinine-based GFR estimates (eGFR) in patients with non-nephrotic proteinuria need better characterization.
METHODS METHODS
We utilized data from the Ramipril in non-diabetic renal failure (REIN 1) and REIN 2 trials involving non-diabetic chronic kidney disease (CKD) patients with proteinuria to compare eGFRs derived from the CKD Epidemiology Consortium (CKD-EPI)formulas (with and without race), and the European Kidney Function Consortium (EKFC) equations with iohexol clearance (a gold-standard GFR measure, measured glomerular filtration rate [mGFR]). Bias was defined as the median difference between eGFR and mGFR, while accuracy was assessed using P30 and P15 metrics, which represent the percentage of eGFR values within ±30% and ±15% of mGFR, respectively.
RESULTS RESULTS
The median bias of the three formulas being compared did not differ, being minimal and in a strict range (0.04 to 0.05 ml/ml/min/1.73m2) in the REIN 1 study and (-0.04 to -0.03 ml/min/1.73 m2) in the REIN 2 study. These findings were confirmed in analyses stratified by age and mGFR. The global accuracy of the three formulas regarding P30% showed sufficient accuracy (P30 >75%) in REIN 1 and all strata in REIN 2, but the mGFR stratum <15 ml/min/1.73m2.
CONCLUSION CONCLUSIONS
The CKD-EPI (with and without race), and EKFC equations show no significant bias and sufficient accuracy in patients with proteinuria. These formulas can be safely applied to non-diabetic CKD patients with moderate to severe proteinuria.

Identifiants

pubmed: 39446487
doi: 10.2215/CJN.0000000602
pii: 01277230-990000000-00491
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Consiglio Nazionale delle Ricerche
ID : 345678910 2024

Informations de copyright

Copyright © 2024 by the American Society of Nephrology.

Auteurs

Carmine Zoccali (C)

Renal Research Institute, New York, USA.
Institute of Molecular Biology and Genetics (Biogem), Ariano Irpino, Italy.
Associazione Ipertensione Nefrologia Trapianto Renale (IPNET), c/o Nefrologia, Grande Ospedale Metropolitano, Reggio Calabria, Italy.

Fabio Pasquale Provenzano (FP)

CNR-IFC, Institute of Clinical Physiology, Research Unit of Clinical Epidemiology.

Giovanni Tripepi (G)

CNR-IFC, Institute of Clinical Physiology, Research Unit of Clinical Epidemiology.

Fabiola Carrara (F)

Clinical Research Center for Rare Diseases Aldo & Cele Daccò, Mario Negri Institute for Pharmacological Research, Bergamo, Italy.

Francesca Mallamaci (F)

CNR-IFC, Institute of Clinical Physiology, Research Unit of Clinical Epidemiology.
Unità Operativa di Nefrologia, Dialisi e Trapianto, Grande Ospedale Metropolitano, Reggio Calabria, Italy.

Annalisa Perna (A)

Mario Negri Institute for Pharmacological Research.

Pierre Delanaye (P)

Department of Nephrology-Dialysis-Transplantation, University of Liège (ULiege), CHU Sart Tilman, Liège, Belgium.
Department of Nephrology-Dialysis-Apheresis, Hôpital Universitaire Carémeau, Nîmes, France.

Pietro Ruggenenti (P)

Clinical Research Center for Rare Diseases Aldo & Cele Daccò, Mario Negri Institute for Pharmacological Research, Bergamo, Italy.
Unit of Nephrology and Dialysis, Azienda Socio-Sanitaria Territoriale Papa Giovanni XXIII, Bergamo, Italy.

Giuseppe Remuzzi (G)

Clinical Research Center for Rare Diseases Aldo & Cele Daccò, Mario Negri Institute for Pharmacological Research, Bergamo, Italy.

Classifications MeSH