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Fat-free weight prediction in morbidly obese females

PURPOSE: Precise estimation of creatinine clearance in obese individuals relies on the appropriate assessment of lean body weight (LBW). Anthropometric methods of predicting LBW have not been validated in morbidly obese populations. PATIENTS AND METHODS: Using an existing dataset of anthropometric d...

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Autores principales: Bucaloiu, Ion D, Wood, G Craig, Norfolk, Evan R, Still, Christopher D, Hartle, James E, Perkins, Robert M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3234152/
https://www.ncbi.nlm.nih.gov/pubmed/22163172
http://dx.doi.org/10.2147/IJNRD.S24173
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author Bucaloiu, Ion D
Wood, G Craig
Norfolk, Evan R
Still, Christopher D
Hartle, James E
Perkins, Robert M
author_facet Bucaloiu, Ion D
Wood, G Craig
Norfolk, Evan R
Still, Christopher D
Hartle, James E
Perkins, Robert M
author_sort Bucaloiu, Ion D
collection PubMed
description PURPOSE: Precise estimation of creatinine clearance in obese individuals relies on the appropriate assessment of lean body weight (LBW). Anthropometric methods of predicting LBW have not been validated in morbidly obese populations. PATIENTS AND METHODS: Using an existing dataset of anthropometric data for a female cohort with morbid obesity who had undergone measured FFW with dual energy absorptiometry, we evaluated the performance of five previously reported estimating equations for the prediction of LBW. Linear regression was used to derive a new LBW prediction formula and was then compared with the other formulae. RESULTS: Seventy females (mean [standard deviation] age, weight, and body mass index 43.0 [11.0] years, 128.1 [13.8] kg, and 48.3 [4.8] kg/m(2), respectively) were identified. LBW as estimated by the method of Garrow and Webster correlated well (r = 0.87) with measured mass while demonstrating the highest accuracy, best precision, and smallest bias (93%, 2.1 kg, and 2.9 kg, respectively; P < 0.0001 for all comparisons). The derived formula further improved bias, precision, and accuracy. CONCLUSION: Among females with morbid obesity, most previously reported estimating equations for LBW predicted FFW poorly. These findings have important clinical implications for the assessment of kidney function and for safe and effective drug dosing.
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spelling pubmed-32341522011-12-12 Fat-free weight prediction in morbidly obese females Bucaloiu, Ion D Wood, G Craig Norfolk, Evan R Still, Christopher D Hartle, James E Perkins, Robert M Int J Nephrol Renovasc Dis Original Research PURPOSE: Precise estimation of creatinine clearance in obese individuals relies on the appropriate assessment of lean body weight (LBW). Anthropometric methods of predicting LBW have not been validated in morbidly obese populations. PATIENTS AND METHODS: Using an existing dataset of anthropometric data for a female cohort with morbid obesity who had undergone measured FFW with dual energy absorptiometry, we evaluated the performance of five previously reported estimating equations for the prediction of LBW. Linear regression was used to derive a new LBW prediction formula and was then compared with the other formulae. RESULTS: Seventy females (mean [standard deviation] age, weight, and body mass index 43.0 [11.0] years, 128.1 [13.8] kg, and 48.3 [4.8] kg/m(2), respectively) were identified. LBW as estimated by the method of Garrow and Webster correlated well (r = 0.87) with measured mass while demonstrating the highest accuracy, best precision, and smallest bias (93%, 2.1 kg, and 2.9 kg, respectively; P < 0.0001 for all comparisons). The derived formula further improved bias, precision, and accuracy. CONCLUSION: Among females with morbid obesity, most previously reported estimating equations for LBW predicted FFW poorly. These findings have important clinical implications for the assessment of kidney function and for safe and effective drug dosing. Dove Medical Press 2011-11-21 /pmc/articles/PMC3234152/ /pubmed/22163172 http://dx.doi.org/10.2147/IJNRD.S24173 Text en © 2011 Bucaloiu et al, publisher and licensee Dove Medical Press Ltd. This is an Open Access article which permits unrestricted noncommercial use, provided the original work is properly cited.
spellingShingle Original Research
Bucaloiu, Ion D
Wood, G Craig
Norfolk, Evan R
Still, Christopher D
Hartle, James E
Perkins, Robert M
Fat-free weight prediction in morbidly obese females
title Fat-free weight prediction in morbidly obese females
title_full Fat-free weight prediction in morbidly obese females
title_fullStr Fat-free weight prediction in morbidly obese females
title_full_unstemmed Fat-free weight prediction in morbidly obese females
title_short Fat-free weight prediction in morbidly obese females
title_sort fat-free weight prediction in morbidly obese females
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3234152/
https://www.ncbi.nlm.nih.gov/pubmed/22163172
http://dx.doi.org/10.2147/IJNRD.S24173
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