DXA-Derived Indices in the Characterisation of Sarcopenia

Nutrients. 2021 Dec 31;14(1):186. doi: 10.3390/nu14010186.

Abstract

Sarcopenia is linked with increased risk of falls, osteoporosis and mortality. No consensus exists about a gold standard "dual-energy X-ray absorptiometry (DXA) index for muscle mass determination" in sarcopenia diagnosis. Thus, many indices exist, but data on sarcopenia diagnosis agreement are scarce. Regarding sarcopenia diagnosis reliability, the impact of influencing factors on sarcopenia prevalence, diagnosis agreement and reliability are almost completely missing. For nine DXA-derived muscle mass indices, we aimed to evaluate sarcopenia prevalence, diagnosis agreement and diagnosis reliability, and investigate the effects of underlying parameters, presence or type of adjustment and cut-off values on all three outcomes. The indices were analysed in the BioPersMed cohort (58 ± 9 years), including 1022 asymptomatic subjects at moderate cardiovascular risk. DXA data from 792 baselines and 684 follow-up measurements (for diagnosis agreement and reliability determination) were available. Depending on the index and cut-off values, sarcopenia prevalence varied from 0.6 to 36.3%. Height-adjusted parameters, independent of underlying parameters, showed a relatively high level of diagnosis agreement, whereas unadjusted and adjusted indices showed low diagnosis agreement. The adjustment type defines which individuals are recognised as sarcopenic in terms of BMI and sex. The investigated indices showed comparable diagnosis reliability in follow-up examinations.

Keywords: BioPersMed cohort; DXA; DXA-derived muscle mass indices.

Publication types

  • Observational Study

MeSH terms

  • Absorptiometry, Photon*
  • Aged
  • Body Composition
  • Body Height
  • Body Weight
  • Humans
  • Middle Aged
  • Muscle, Skeletal / diagnostic imaging*
  • Prospective Studies
  • Reference Values
  • Reproducibility of Results
  • Sarcopenia / diagnostic imaging*
  • Sarcopenia / epidemiology
  • Sarcopenia / physiopathology