| Autor: |
Conor J. O'Hanlon, Nick Holford, Anita Sumpter, Hesham S. Al‐Sallami |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
CPT: Pharmacometrics & Systems Pharmacology, Vol 12, Iss 3, Pp 401-412 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2163-8306 |
| DOI: |
10.1002/psp4.12924 |
| Popis: |
Abstract 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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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