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 and Visvanathan, Renuka (2013) Lean body mass: the development and validation of prediction equations in healthy adults. BMC Pharmacology and Toxicology, 14: Provisional 53: 1-17. doi:10.1186/2050-6511-14-53

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Author Yu, Solomon
Visvanathan, Thavarajah
Field, John
Ward, Leigh C.
Chapman, Ian
Adams, Robert
Wittert, Gary
Visvanathan, Renuka
Title Lean body mass: the development and validation of prediction equations in healthy adults
Journal name BMC Pharmacology and Toxicology   Check publisher's open access policy
ISSN 2050-6511
Publication date 2013-10-14
Year available 2013
Sub-type Article (original research)
DOI 10.1186/2050-6511-14-53
Open Access Status DOI
Volume 14: Provisional
Issue 53
Start page 1
End page 17
Total pages 17
Place of publication London, United Kingdom
Publisher BioMed Central
Collection year 2014
Language eng
Formatted 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.
Keyword Lean body mass
Older people
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2014 Collection
School of Chemistry and Molecular Biosciences
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Created: Fri, 18 Oct 2013, 10:46:06 EST by Mrs Louise Nimwegen on behalf of School of Chemistry & Molecular Biosciences