A retrospective study comparing creatinine clearance estimation using different equations on a population-based cohort

Renal elimination is an important part of drugs' excretion. At the same time, renal function can be impaired as a side effect of medication, particularly during prolonged treatments. Thus, the assessment of patients' renal function is of major consequence, especially in cases where the the...

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Autores principales:	Abigail Ferreira, Rui Lapa, Nuno Vale
Formato:	article
Lenguaje:	EN
Publicado:	AIMS Press 2021
Materias:	creatinine clearance estimation renal function therapeutic drug monitoring (tdm) antibiotics cockcroft-gault formula jelliffe formula wright formula corcoran-salazar formula Biotechnology TP248.13-248.65 Mathematics QA1-939
Acceso en línea:	https://doaj.org/article/8725aeb687054312913f98cc5fda5087
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spelling	oai:doaj.org-article:8725aeb687054312913f98cc5fda50872021-11-09T02:37:53ZA retrospective study comparing creatinine clearance estimation using different equations on a population-based cohort10.3934/mbe.20212871551-0018https://doaj.org/article/8725aeb687054312913f98cc5fda50872021-06-01T00:00:00Zhttps://www.aimspress.com/article/doi/10.3934/mbe.2021287?viewType=HTMLhttps://doaj.org/toc/1551-0018Renal elimination is an important part of drugs' excretion. At the same time, renal function can be impaired as a side effect of medication, particularly during prolonged treatments. Thus, the assessment of patients' renal function is of major consequence, especially in cases where the therapeutic regimen is adjusted taking into consideration renal clearance. Serum creatinine concentration is the most common indicator of renal clearance, since the most accurate indicator, glomerular filtration rate (GFR), is not easily measured. Using equations developed over the last decades, creatinine clearance (CLCr) is readily estimated taking into account patients' biological sex, age, body composition, and sometimes race. In this work, differences in estimated CLCr between different equations were studied and the influence of some patients' characteristics evaluated. Data collected from 82 inpatients receiving antibiotic therapy was analyzed and CLCr was estimated using a total of 12 equations. Patients were stratified according to their sex, age, and body composition to shed some light on the impact of these parameters in the estimations of renal function. More variability between estimation methods was highlighted (a) in patients between 51 and 60 years old, (b) within the normal body mass index group, and (c) in patients with serum creatinine levels below normal criteria. Furthermore, the Cockcroft-Gault equation considering lean body weight produced lower estimated CLCr in almost all groups.Abigail Ferreira Rui Lapa Nuno ValeAIMS Pressarticlecreatinine clearance estimationrenal functiontherapeutic drug monitoring (tdm)antibioticscockcroft-gault formulajelliffe formulawright formulacorcoran-salazar formulaBiotechnologyTP248.13-248.65MathematicsQA1-939ENMathematical Biosciences and Engineering, Vol 18, Iss 5, Pp 5680-5691 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	creatinine clearance estimation renal function therapeutic drug monitoring (tdm) antibiotics cockcroft-gault formula jelliffe formula wright formula corcoran-salazar formula Biotechnology TP248.13-248.65 Mathematics QA1-939
spellingShingle	creatinine clearance estimation renal function therapeutic drug monitoring (tdm) antibiotics cockcroft-gault formula jelliffe formula wright formula corcoran-salazar formula Biotechnology TP248.13-248.65 Mathematics QA1-939 Abigail Ferreira Rui Lapa Nuno Vale A retrospective study comparing creatinine clearance estimation using different equations on a population-based cohort
description	Renal elimination is an important part of drugs' excretion. At the same time, renal function can be impaired as a side effect of medication, particularly during prolonged treatments. Thus, the assessment of patients' renal function is of major consequence, especially in cases where the therapeutic regimen is adjusted taking into consideration renal clearance. Serum creatinine concentration is the most common indicator of renal clearance, since the most accurate indicator, glomerular filtration rate (GFR), is not easily measured. Using equations developed over the last decades, creatinine clearance (CLCr) is readily estimated taking into account patients' biological sex, age, body composition, and sometimes race. In this work, differences in estimated CLCr between different equations were studied and the influence of some patients' characteristics evaluated. Data collected from 82 inpatients receiving antibiotic therapy was analyzed and CLCr was estimated using a total of 12 equations. Patients were stratified according to their sex, age, and body composition to shed some light on the impact of these parameters in the estimations of renal function. More variability between estimation methods was highlighted (a) in patients between 51 and 60 years old, (b) within the normal body mass index group, and (c) in patients with serum creatinine levels below normal criteria. Furthermore, the Cockcroft-Gault equation considering lean body weight produced lower estimated CLCr in almost all groups.
format	article
author	Abigail Ferreira Rui Lapa Nuno Vale
author_facet	Abigail Ferreira Rui Lapa Nuno Vale
author_sort	Abigail Ferreira
title	A retrospective study comparing creatinine clearance estimation using different equations on a population-based cohort
title_short	A retrospective study comparing creatinine clearance estimation using different equations on a population-based cohort
title_full	A retrospective study comparing creatinine clearance estimation using different equations on a population-based cohort
title_fullStr	A retrospective study comparing creatinine clearance estimation using different equations on a population-based cohort
title_full_unstemmed	A retrospective study comparing creatinine clearance estimation using different equations on a population-based cohort
title_sort	retrospective study comparing creatinine clearance estimation using different equations on a population-based cohort
publisher	AIMS Press
publishDate	2021
url	https://doaj.org/article/8725aeb687054312913f98cc5fda5087
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A retrospective study comparing creatinine clearance estimation using different equations on a population-based cohort

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