Cargando…

Estimation of Glomerular Filtration Rate in Obese Patients: Utility of a New Equation

There is no consensus on the best equation to estimate glomerular filtration rate (eGFR) in obese patients (OP). Objective: to evaluate the performance of the current equations and the new Argentinian Equation (“AE”) to estimate GFR in OP. Two validation samples were used: internal (IVS, using 10-fo...

Descripción completa

Detalles Bibliográficos
Autores principales: Fernández, Pehuén, Nores, María Laura, Douthat, Walter, de Arteaga, Javier, Luján, Pablo, Campazzo, Mario, de La Fuente, Jorge, Chiurchiu, Carlos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10004854/
https://www.ncbi.nlm.nih.gov/pubmed/36904233
http://dx.doi.org/10.3390/nu15051233
_version_ 1784904939278958592
author Fernández, Pehuén
Nores, María Laura
Douthat, Walter
de Arteaga, Javier
Luján, Pablo
Campazzo, Mario
de La Fuente, Jorge
Chiurchiu, Carlos
author_facet Fernández, Pehuén
Nores, María Laura
Douthat, Walter
de Arteaga, Javier
Luján, Pablo
Campazzo, Mario
de La Fuente, Jorge
Chiurchiu, Carlos
author_sort Fernández, Pehuén
collection PubMed
description There is no consensus on the best equation to estimate glomerular filtration rate (eGFR) in obese patients (OP). Objective: to evaluate the performance of the current equations and the new Argentinian Equation (“AE”) to estimate GFR in OP. Two validation samples were used: internal (IVS, using 10-fold cross-validation) and temporary (TVS). OP whose GFR was measured (mGFR) with clearance of iothalamate between 2007/2017 (IVS, n = 189) and 2018/2019 (TVS, n = 26) were included. To evaluate the performance of the equations we used: bias (difference between eGFR and mGFR), P30 (percentage of estimates within ±30% of mGFR), Pearson’s correlation (r) and percentage of correct classification (%CC) according to the stages of CKD. The median age was 50 years. Sixty percent had grade I obesity (G1-Ob), 25.1% G2-Ob and 14.9% G3-Ob, with a wide range in mGFR (5.6–173.1 mL/min/1.73 m(2)). In the IVS, AE obtained a higher P30 (85.2%), r (0.86) and %CC (74.4%), with lower bias (−0.4 mL/min/1.73 m(2)). In the TVS, AE obtained a higher P30 (88.5%), r (0.89) and %CC (84.6%). The performance of all equations was reduced in G3-Ob, but AE was the only one that obtained a P30 > 80% in all degrees. AE obtained better overall performance to estimate GFR in OP and could be useful in this population. Conclusions from this study may not be generalizable to all populations of obese patients since they were derived from a study in a single center with a very specific ethnic mixed population.
format Online
Article
Text
id pubmed-10004854
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-100048542023-03-11 Estimation of Glomerular Filtration Rate in Obese Patients: Utility of a New Equation Fernández, Pehuén Nores, María Laura Douthat, Walter de Arteaga, Javier Luján, Pablo Campazzo, Mario de La Fuente, Jorge Chiurchiu, Carlos Nutrients Article There is no consensus on the best equation to estimate glomerular filtration rate (eGFR) in obese patients (OP). Objective: to evaluate the performance of the current equations and the new Argentinian Equation (“AE”) to estimate GFR in OP. Two validation samples were used: internal (IVS, using 10-fold cross-validation) and temporary (TVS). OP whose GFR was measured (mGFR) with clearance of iothalamate between 2007/2017 (IVS, n = 189) and 2018/2019 (TVS, n = 26) were included. To evaluate the performance of the equations we used: bias (difference between eGFR and mGFR), P30 (percentage of estimates within ±30% of mGFR), Pearson’s correlation (r) and percentage of correct classification (%CC) according to the stages of CKD. The median age was 50 years. Sixty percent had grade I obesity (G1-Ob), 25.1% G2-Ob and 14.9% G3-Ob, with a wide range in mGFR (5.6–173.1 mL/min/1.73 m(2)). In the IVS, AE obtained a higher P30 (85.2%), r (0.86) and %CC (74.4%), with lower bias (−0.4 mL/min/1.73 m(2)). In the TVS, AE obtained a higher P30 (88.5%), r (0.89) and %CC (84.6%). The performance of all equations was reduced in G3-Ob, but AE was the only one that obtained a P30 > 80% in all degrees. AE obtained better overall performance to estimate GFR in OP and could be useful in this population. Conclusions from this study may not be generalizable to all populations of obese patients since they were derived from a study in a single center with a very specific ethnic mixed population. MDPI 2023-02-28 /pmc/articles/PMC10004854/ /pubmed/36904233 http://dx.doi.org/10.3390/nu15051233 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Fernández, Pehuén
Nores, María Laura
Douthat, Walter
de Arteaga, Javier
Luján, Pablo
Campazzo, Mario
de La Fuente, Jorge
Chiurchiu, Carlos
Estimation of Glomerular Filtration Rate in Obese Patients: Utility of a New Equation
title Estimation of Glomerular Filtration Rate in Obese Patients: Utility of a New Equation
title_full Estimation of Glomerular Filtration Rate in Obese Patients: Utility of a New Equation
title_fullStr Estimation of Glomerular Filtration Rate in Obese Patients: Utility of a New Equation
title_full_unstemmed Estimation of Glomerular Filtration Rate in Obese Patients: Utility of a New Equation
title_short Estimation of Glomerular Filtration Rate in Obese Patients: Utility of a New Equation
title_sort estimation of glomerular filtration rate in obese patients: utility of a new equation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10004854/
https://www.ncbi.nlm.nih.gov/pubmed/36904233
http://dx.doi.org/10.3390/nu15051233
work_keys_str_mv AT fernandezpehuen estimationofglomerularfiltrationrateinobesepatientsutilityofanewequation
AT noresmarialaura estimationofglomerularfiltrationrateinobesepatientsutilityofanewequation
AT douthatwalter estimationofglomerularfiltrationrateinobesepatientsutilityofanewequation
AT dearteagajavier estimationofglomerularfiltrationrateinobesepatientsutilityofanewequation
AT lujanpablo estimationofglomerularfiltrationrateinobesepatientsutilityofanewequation
AT campazzomario estimationofglomerularfiltrationrateinobesepatientsutilityofanewequation
AT delafuentejorge estimationofglomerularfiltrationrateinobesepatientsutilityofanewequation
AT chiurchiucarlos estimationofglomerularfiltrationrateinobesepatientsutilityofanewequation