Evaluation and enhancement of standard equations for renal function estimation in individuals with components of metabolic disease

Abstract Background The primary objective of this study aims to test patient factors, with a focus on cardiometabolic disease, influencing the performance of the Cockcroft-Gault equation in estimating glomerular filtration rate. Methods A cohort study was performed using data from adult patients wit...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Luigi Brunetti, Hyunmoon Back, Sijia Yu, Urma Jalil, Leonid Kagan
Formato:	article
Lenguaje:	EN
Publicado:	BMC 2021
Materias:	Cockcroft-Gault Renal function Metabolic disease Serum creatinine Glomerular filtration rate Diseases of the genitourinary system. Urology RC870-923
Acceso en línea:	https://doaj.org/article/c51389c8dfc64af3a7cdd82b6afc2847
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:c51389c8dfc64af3a7cdd82b6afc2847
record_format	dspace
spelling	oai:doaj.org-article:c51389c8dfc64af3a7cdd82b6afc28472021-11-28T12:41:28ZEvaluation and enhancement of standard equations for renal function estimation in individuals with components of metabolic disease10.1186/s12882-021-02588-41471-2369https://doaj.org/article/c51389c8dfc64af3a7cdd82b6afc28472021-11-01T00:00:00Zhttps://doi.org/10.1186/s12882-021-02588-4https://doaj.org/toc/1471-2369Abstract Background The primary objective of this study aims to test patient factors, with a focus on cardiometabolic disease, influencing the performance of the Cockcroft-Gault equation in estimating glomerular filtration rate. Methods A cohort study was performed using data from adult patients with both a 24-h urine creatinine collection and a serum creatinine available. Creatinine clearance was calculated for each patient using the Cockcroft-Gault, Modified Diet in Renal Disease, and Chronic Kidney Disease Epidemiology Collaboration equations and estimates were compared to the measured 24-h urine creatinine clearance. In addition, new prediction equations were developed. Results In the overall study population (n = 484), 44.2% of patients were obese, 44.0% had diabetes, and 30.8% had dyslipidemia. A multivariable model which incorporating patient characteristics performed the best in terms of correlation to measured 24-h urine creatinine clearance, accuracy, and error. The modified Cockcroft-Gault equation using lean body weight performed best in the overall population, the obese subgroup, and the dyslipidemia subgroup in terms of strength of correlation, mean bias, and accuracy. Conclusions Regardless of strategy used to calculate creatinine clearance, residual error was present suggesting novel methods for estimating glomerular filtration rate are urgently needed.Luigi BrunettiHyunmoon BackSijia YuUrma JalilLeonid KaganBMCarticleCockcroft-GaultRenal functionMetabolic diseaseSerum creatinineGlomerular filtration rateDiseases of the genitourinary system. UrologyRC870-923ENBMC Nephrology, Vol 22, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Cockcroft-Gault Renal function Metabolic disease Serum creatinine Glomerular filtration rate Diseases of the genitourinary system. Urology RC870-923
spellingShingle	Cockcroft-Gault Renal function Metabolic disease Serum creatinine Glomerular filtration rate Diseases of the genitourinary system. Urology RC870-923 Luigi Brunetti Hyunmoon Back Sijia Yu Urma Jalil Leonid Kagan Evaluation and enhancement of standard equations for renal function estimation in individuals with components of metabolic disease
description	Abstract Background The primary objective of this study aims to test patient factors, with a focus on cardiometabolic disease, influencing the performance of the Cockcroft-Gault equation in estimating glomerular filtration rate. Methods A cohort study was performed using data from adult patients with both a 24-h urine creatinine collection and a serum creatinine available. Creatinine clearance was calculated for each patient using the Cockcroft-Gault, Modified Diet in Renal Disease, and Chronic Kidney Disease Epidemiology Collaboration equations and estimates were compared to the measured 24-h urine creatinine clearance. In addition, new prediction equations were developed. Results In the overall study population (n = 484), 44.2% of patients were obese, 44.0% had diabetes, and 30.8% had dyslipidemia. A multivariable model which incorporating patient characteristics performed the best in terms of correlation to measured 24-h urine creatinine clearance, accuracy, and error. The modified Cockcroft-Gault equation using lean body weight performed best in the overall population, the obese subgroup, and the dyslipidemia subgroup in terms of strength of correlation, mean bias, and accuracy. Conclusions Regardless of strategy used to calculate creatinine clearance, residual error was present suggesting novel methods for estimating glomerular filtration rate are urgently needed.
format	article
author	Luigi Brunetti Hyunmoon Back Sijia Yu Urma Jalil Leonid Kagan
author_facet	Luigi Brunetti Hyunmoon Back Sijia Yu Urma Jalil Leonid Kagan
author_sort	Luigi Brunetti
title	Evaluation and enhancement of standard equations for renal function estimation in individuals with components of metabolic disease
title_short	Evaluation and enhancement of standard equations for renal function estimation in individuals with components of metabolic disease
title_full	Evaluation and enhancement of standard equations for renal function estimation in individuals with components of metabolic disease
title_fullStr	Evaluation and enhancement of standard equations for renal function estimation in individuals with components of metabolic disease
title_full_unstemmed	Evaluation and enhancement of standard equations for renal function estimation in individuals with components of metabolic disease
title_sort	evaluation and enhancement of standard equations for renal function estimation in individuals with components of metabolic disease
publisher	BMC
publishDate	2021
url	https://doaj.org/article/c51389c8dfc64af3a7cdd82b6afc2847
work_keys_str_mv	AT luigibrunetti evaluationandenhancementofstandardequationsforrenalfunctionestimationinindividualswithcomponentsofmetabolicdisease AT hyunmoonback evaluationandenhancementofstandardequationsforrenalfunctionestimationinindividualswithcomponentsofmetabolicdisease AT sijiayu evaluationandenhancementofstandardequationsforrenalfunctionestimationinindividualswithcomponentsofmetabolicdisease AT urmajalil evaluationandenhancementofstandardequationsforrenalfunctionestimationinindividualswithcomponentsofmetabolicdisease AT leonidkagan evaluationandenhancementofstandardequationsforrenalfunctionestimationinindividualswithcomponentsofmetabolicdisease
_version_	1718407856802234368

Evaluation and enhancement of standard equations for renal function estimation in individuals with components of metabolic disease

Ejemplares similares