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Influence of muscle mass in the assessment of lower limb strength in COPD: validation of the prediction equation

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posted on 2017-10-20, 10:33 authored by Ruth Pearson, Dale EsligerDale Esliger, Emily PetherickEmily Petherick, Rachel A. Evans, N. Greening, B. James, Andrew KingsnorthAndrew Kingsnorth, Mike Morgan, Mark W. Orme, Lauren SherarLauren Sherar, Sally Singh, N. Toms, Michael Steiner
Absence of established reference values limits application of quadriceps maximal voluntary contraction (QMVC) measurement. The impact of muscle mass inclusion in predictions is unclear. Prediction equations encompassing gender, age and size with (FFM+) and without (FFM−), derived in healthy adults (n=175), are presented and compared in two COPD cohorts recruited from primary care (COPD-PC, n=112) and a complex care COPD clinic (COPD-CC, n=189). Explained variance was comparable between the prediction models (R2: FFM+: 0.59, FFM−: 0.60) as were per cent predictions in COPD-PC (88.8%, 88.3%). However, fat-free mass inclusion reduced the prevalence of weakness in COPD, particularly in COPD-CC where 11.9% fewer were deemed weak.

History

School

  • Sport, Exercise and Health Sciences

Published in

Thorax

Pages

thoraxjnl-2016-209870 - thoraxjnl-2016-209870

Citation

TRETHEWEY, R. ... et al, 2018. Influence of muscle mass in the assessment of lower limb strength in COPD: validation of the prediction equation. Thorax, 73(6), pp. 587-589.

Publisher

BMJ Publishing Group © Article author(s)

Version

  • AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) licence. Full details of this licence are available at: http://creativecommons.org/licenses/by-nc/4.0/

Publication date

2017-09-02

Notes

This article was published in the journal, Thorax [BMJ Publishing Group © Article author(s)] and the definitive version is available at: https://doi.org/10.1136/thoraxjnl-2016-209870

ISSN

0040-6376

eISSN

1468-3296

Language

  • en

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