Repurposing a fracture risk calculator (FRAX) as a screening tool for women at risk for sarcopenia

Summary Osteoporosis and sarcopenia share risk profiles, so we tested a fracture risk assessment tool (FRAX) as a screening tool for sarcopenia. FRAX probabilities without bone mineral density predicted sarcopenia with high sensitivity and reasonable specificity. There is potential to use this FRAX...

Full description

Saved in:
Bibliographic Details
Published in:Osteoporosis international Vol. 31; no. 7; pp. 1389 - 1394
Main Authors: Pasco, J.A., Mohebbi, M., Tembo, M.C., Holloway-Kew, K.L., Hyde, N.K., Williams, L.J., Kotowicz, M.A.
Format: Journal Article
Language:English
Published: London Springer London 01-07-2020
Springer Nature B.V
Subjects:
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Summary Osteoporosis and sarcopenia share risk profiles, so we tested a fracture risk assessment tool (FRAX) as a screening tool for sarcopenia. FRAX probabilities without bone mineral density predicted sarcopenia with high sensitivity and reasonable specificity. There is potential to use this FRAX as a screening tool for sarcopenia. Purpose There is a need for simple screening tools for sarcopenia. As osteoporosis and sarcopenia share risk profiles, we tested the performance of a fracture risk assessment tool for discriminating individuals at risk for sarcopenia. Methods In this longitudinal study, FRAX (Australia) probabilities were calculated for 354 women (ages 40–90 years) in the Geelong Osteoporosis Study. Sarcopenia was assessed a decade later using DXA-derived low appendicular lean mass (Lunar; ALM/height 2  < 5.5 kg/m 2 ) and low handgrip strength (Jamar; HGS < 16 kg), according to EWGSOP2. We determined FRAX probabilities (%) for hip fracture (HF-FRAX) and major osteoporotic fracture (MOF-FRAX), with and without BMD. Area under the receiver operator characteristic (AUROC) curves quantified the performance of FRAX for predicting sarcopenia. Results Baseline median (IQR) values for HF-FRAX without BMD were 0.4 (0.1–1.3) and for MOF-FRAX without BMD, 2.4 (1.2–5.2); comparable figures for HF-FRAX with BMD were 0.2 (0.0–0.7) and for MOF-FRAX with BMD, 2.1 (1.1–4.4). At follow-up, sarcopenia was identified for 11 (3.1%) women. When FRAX was calculated without BMD, the AUROC was 0.90 for HF-FRAX and 0.88 for MOF-FRAX. Optimal thresholds were 0.9 for HF-FRAX (sensitivity 90.9%, specificity 62.4%) and 5.3 for MOF-FRAX (sensitivity 81.8%, specificity 71.7%). Calculating FRAX with BMD did not improve the predictive performance of FRAX for sarcopenia. Conclusion Here we provide preliminary evidence to suggest that FRAX probabilities without BMD might predict sarcopenia with high sensitivity and reasonable specificity. Given that FRAX clinical risk factors are identified without equipment, there is potential to use this or a modified version of the FRAX tool to screen for individuals at risk of sarcopenia.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0937-941X
1433-2965
DOI:10.1007/s00198-020-05376-2