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Consistent methods for fat‐free mass, creatinine clearance, and glomerular filtration rate to describe renal function from neonates to adults

Quantifying the effect of kidney disease on glomerular filtration rate (GFR) is important when describing variability in the clearance of drugs eliminated by the kidney. We aimed to develop a continuous model for renal function (RF) from prematurity to adulthood based on consistent models for fat‐fr...

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Autores principales: O'Hanlon, Conor J., Holford, Nick, Sumpter, Anita, Al‐Sallami, Hesham S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10014044/
https://www.ncbi.nlm.nih.gov/pubmed/36691877
http://dx.doi.org/10.1002/psp4.12924
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author O'Hanlon, Conor J.
Holford, Nick
Sumpter, Anita
Al‐Sallami, Hesham S.
author_facet O'Hanlon, Conor J.
Holford, Nick
Sumpter, Anita
Al‐Sallami, Hesham S.
author_sort O'Hanlon, Conor J.
collection PubMed
description Quantifying the effect of kidney disease on glomerular filtration rate (GFR) is important when describing variability in the clearance of drugs eliminated by the kidney. We aimed to develop a continuous model for renal function (RF) from prematurity to adulthood based on consistent models for fat‐free mass (FFM), creatinine production rate (CPR), and GFR. A model for fractional FFM in premature neonates to adults was developed using pooled data from 4462 subjects and 2847 FFM observations. It was found that girls have an FFM higher than that predicted from adult women based on height, total body mass, and sex, and boys have an FFM lower than adult men until around the onset of puberty, when it approaches adult male values. Data from 108 subjects with measurements of serum creatinine (Scr) and GFR were used to construct a model for CPR. Creatinine clearance was predicted using a model for CPR (based on FFM, postmenstrual age, and sex) and Scr that avoids discontinuous predictions between neonates, children, and adults. Individual CPR may then be used with individual Scr to predict the estimated GFR (eGFR; eGFR = CPR/Scr). A previously published model for human GFR based on 1153 GFR observations in 923 subjects without known kidney disease was updated using the model for fractional FFM to predict individual size and age‐consistent values for the expected normal GFR (nGFR). Individual renal function was then calculated using RF = eGFR/nGFR.
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spelling pubmed-100140442023-03-15 Consistent methods for fat‐free mass, creatinine clearance, and glomerular filtration rate to describe renal function from neonates to adults O'Hanlon, Conor J. Holford, Nick Sumpter, Anita Al‐Sallami, Hesham S. CPT Pharmacometrics Syst Pharmacol Research Quantifying the effect of kidney disease on glomerular filtration rate (GFR) is important when describing variability in the clearance of drugs eliminated by the kidney. We aimed to develop a continuous model for renal function (RF) from prematurity to adulthood based on consistent models for fat‐free mass (FFM), creatinine production rate (CPR), and GFR. A model for fractional FFM in premature neonates to adults was developed using pooled data from 4462 subjects and 2847 FFM observations. It was found that girls have an FFM higher than that predicted from adult women based on height, total body mass, and sex, and boys have an FFM lower than adult men until around the onset of puberty, when it approaches adult male values. Data from 108 subjects with measurements of serum creatinine (Scr) and GFR were used to construct a model for CPR. Creatinine clearance was predicted using a model for CPR (based on FFM, postmenstrual age, and sex) and Scr that avoids discontinuous predictions between neonates, children, and adults. Individual CPR may then be used with individual Scr to predict the estimated GFR (eGFR; eGFR = CPR/Scr). A previously published model for human GFR based on 1153 GFR observations in 923 subjects without known kidney disease was updated using the model for fractional FFM to predict individual size and age‐consistent values for the expected normal GFR (nGFR). Individual renal function was then calculated using RF = eGFR/nGFR. John Wiley and Sons Inc. 2023-02-07 /pmc/articles/PMC10014044/ /pubmed/36691877 http://dx.doi.org/10.1002/psp4.12924 Text en © 2023 The Authors. CPT: Pharmacometrics & Systems Pharmacology published by Wiley Periodicals LLC on behalf of American Society for Clinical Pharmacology and Therapeutics. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Research
O'Hanlon, Conor J.
Holford, Nick
Sumpter, Anita
Al‐Sallami, Hesham S.
Consistent methods for fat‐free mass, creatinine clearance, and glomerular filtration rate to describe renal function from neonates to adults
title Consistent methods for fat‐free mass, creatinine clearance, and glomerular filtration rate to describe renal function from neonates to adults
title_full Consistent methods for fat‐free mass, creatinine clearance, and glomerular filtration rate to describe renal function from neonates to adults
title_fullStr Consistent methods for fat‐free mass, creatinine clearance, and glomerular filtration rate to describe renal function from neonates to adults
title_full_unstemmed Consistent methods for fat‐free mass, creatinine clearance, and glomerular filtration rate to describe renal function from neonates to adults
title_short Consistent methods for fat‐free mass, creatinine clearance, and glomerular filtration rate to describe renal function from neonates to adults
title_sort consistent methods for fat‐free mass, creatinine clearance, and glomerular filtration rate to describe renal function from neonates to adults
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10014044/
https://www.ncbi.nlm.nih.gov/pubmed/36691877
http://dx.doi.org/10.1002/psp4.12924
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