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March 26, 2026Experimental Gerontology0 citationsOpen Access

The application of ultrasound sarcopenia index in sarcopenic population

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KPKatarina PusFSFabio SartoMNMarco Narici

Key Points

  • This research aims to evaluate the ultrasound sarcopenia index (USI) in identifying sarcopenia among older adults.
  • Sample included 139 older adults from Italy and Slovenia.
  • Ultrasound imaging measured muscle architecture-related metrics: fascicle length (Lf) and muscle thickness (MT).
  • Physical performance tests included handgrip strength, sit-to-stand test, timed up-and-go, and gait speed assessments.
  • Sarcopenia was classified using EWGSOP2 and SDOC classifications.
  • Sarcopenia prevalence was 15.1% and 30.9% using the EWGSOP2 and SDOC classifications respectively.
  • USI was significantly higher in sarcopenic compared to non-sarcopenic individuals (5.33 ± 1.30 vs 4.59 ± 0.94).
  • Significant differences in muscle architecture metrics, with muscle thickness showing the largest effect size (Cohen's d: 0.86 for EWGSOP2 classification).

Abstract

Aging leads to progressive motor system decline, which can result in sarcopenia, defined as the age-related loss of muscle mass and function. Architectural changes, epitomized by a decrease in fascicle length (Lf) and muscle thickness (MT), provide a useful signature of sarcopenia. Their ratio (Lf/MT), named ultrasound sarcopenia index (USI), is a new parameter proposed for evaluating changes in muscle geometric proportions associated with muscle atrophy but lacks application in a sarcopenic population. This study aimed to explore vastus lateralis USI in a sarcopenic population. In a sample of 139 older adults (54% females), recruited from Italy and Slovenia, we assessed muscle architecture using ultrasound imaging to measure Lf, MT, pennation angle (PA), and USI. We assessed handgrip strength, sit-to-stand test, and physical performance with timed up-and-go and gait speed. Appendicular lean mass was assessed with dual x-ray absorptiometry. Sarcopenia was classified using the EWGSOP2 and SDOC classifications. Sarcopenia prevalence was 15.1% and 30.9% when classified by the EWGSOP2 and SDOC classifications, respectively. Differences in muscle architecture were observed between sarcopenic and non-sarcopenic groups, with MT showing the largest effect size (Cohen's d EWGSOP2: 0.86; SDOC:0.77). USI was higher in sarcopenic compared to non-sarcopenic individuals classified with EWGSOP2 (5.33 ± 1.30 vs 4.59 ± 0.94, p = .011, Cohen's d:0.69), confirming its sensitivity in detecting sarcopenia. We showed that increased USI values are associated with sarcopenia. This study shows USI as a sensitive, non-invasive marker for sarcopenia classification, supporting its use in clinical screening and monitoring of muscle changes in older adults. • Ultrasound sarcopenia index is a valid, non-invasive marker for identifying sarcopenia. • Older adults with sarcopenia present higher ultrasound index than those without it. • Muscle architecture changes in aging can be monitored by ultrasound sarcopenia index.

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Cite This Study

Pus et al. (2026) studied this question.

synapsesocial.com/papers/69c4cdcdfdc3bde44891a917https://doi.org/10.1016/j.exger.2026.113109
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