Lean body mass: The development and validation of prediction equations in healthy adults

Solomon Yu, Thavarajah Visvanathan, John Field, Leigh C. Ward, Ian Chapman, Robert Adams, Gary Wittert, Renuka Visvanathan

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

Background: There is a loss of lean body mass (LBM) with increasing age. A low LBM has been associated with increased adverse effects from prescribed medications such as chemotherapy. Accurate assessment of LBM may allow for more accurate drug prescribing. The aims of this study were to develop new prediction equations (PEs) for LBM with anthropometric and biochemical variables from a development cohort and then validate the best performing PEs in validation cohorts. Methods: PEs were developed in a cohort of 188 healthy subjects and then validated in a convenience cohort of 52 healthy subjects. The best performing anthropometric PE was then compared to published anthropometric PEs in an older (age ≥ 50 years) cohort of 2287 people. Best subset regression analysis was used to derive PEs. Correlation, Bland-Altman and Sheiner & Beal methods were used to validate and compare the PEs against dual X-ray absorptiometry (DXA)-derived LBM. Results: The PE which included biochemistry variables performed only marginally better than the anthropometric PE. The anthropometric PE on average over-estimated LBM by 0.74 kg in the combined cohort. Across gender (male vs. female), body mass index (< 22, 22- < 27, 27- < 30 and ≥30 kg/m2) and age groups (50-64, 65-79 and ≥80 years), the maximum mean over-estimation of the anthropometric PE was 1.36 kg. Conclusions: A new anthropometric PE has been developed that offers an alternative for clinicians when access to DXA is limited. Further research is required to determine the clinical utility and if it will improve the safety of medication use.

LanguageEnglish
Article number53
JournalBMC Pharmacology and Toxicology
Volume14
Issue number1
DOIs
Publication statusPublished - 14 Oct 2013

Keywords

  • Drugs
  • Lean body mass
  • Older people
  • Weight

ASJC Scopus subject areas

  • Pharmacology
  • Pharmacology (medical)

Cite this

Yu, Solomon ; Visvanathan, Thavarajah ; Field, John ; Ward, Leigh C. ; Chapman, Ian ; Adams, Robert ; Wittert, Gary ; Visvanathan, Renuka. / Lean body mass : The development and validation of prediction equations in healthy adults. In: BMC Pharmacology and Toxicology. 2013 ; Vol. 14, No. 1.
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Lean body mass : The development and validation of prediction equations in healthy adults. / Yu, Solomon; Visvanathan, Thavarajah; Field, John; Ward, Leigh C.; Chapman, Ian; Adams, Robert; Wittert, Gary; Visvanathan, Renuka.

In: BMC Pharmacology and Toxicology, Vol. 14, No. 1, 53, 14.10.2013.

Research output: Contribution to journalArticle

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T1 - Lean body mass

T2 - BMC Pharmacology and Toxicology

AU - Yu, Solomon

AU - Visvanathan, Thavarajah

AU - Field, John

AU - Ward, Leigh C.

AU - Chapman, Ian

AU - Adams, Robert

AU - Wittert, Gary

AU - Visvanathan, Renuka

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Y1 - 2013/10/14

N2 - Background: There is a loss of lean body mass (LBM) with increasing age. A low LBM has been associated with increased adverse effects from prescribed medications such as chemotherapy. Accurate assessment of LBM may allow for more accurate drug prescribing. The aims of this study were to develop new prediction equations (PEs) for LBM with anthropometric and biochemical variables from a development cohort and then validate the best performing PEs in validation cohorts. Methods: PEs were developed in a cohort of 188 healthy subjects and then validated in a convenience cohort of 52 healthy subjects. The best performing anthropometric PE was then compared to published anthropometric PEs in an older (age ≥ 50 years) cohort of 2287 people. Best subset regression analysis was used to derive PEs. Correlation, Bland-Altman and Sheiner & Beal methods were used to validate and compare the PEs against dual X-ray absorptiometry (DXA)-derived LBM. Results: The PE which included biochemistry variables performed only marginally better than the anthropometric PE. The anthropometric PE on average over-estimated LBM by 0.74 kg in the combined cohort. Across gender (male vs. female), body mass index (< 22, 22- < 27, 27- < 30 and ≥30 kg/m2) and age groups (50-64, 65-79 and ≥80 years), the maximum mean over-estimation of the anthropometric PE was 1.36 kg. Conclusions: A new anthropometric PE has been developed that offers an alternative for clinicians when access to DXA is limited. Further research is required to determine the clinical utility and if it will improve the safety of medication use.

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