ArticleJournal of cachexia, sarcopenia and muscle2021
Age-related alterations in muscle architecture are a signature of sarcopenia: the ultrasound sarcopenia index.
Article in Journal of cachexia, sarcopenia and muscle, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.
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Who cites it
51 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Diagnostic test accuracy of ultrasound for sarcopenia diagnosis: A systematic review and meta-analysis.Journal of cachexia, sarcopenia and muscle · 2023Pooled it
- Effects of a 2-year exercise training on neuromuscular system health in older individuals with low muscle function.Journal of cachexia, sarcopenia and muscle · 2023Trial
- Ultrasound quadriceps muscle thickness is variably associated with frailty in haemodialysis recipients.BMC nephrology · 2023Trial
- Effect of sit-to-stand-based training on muscle quality in sedentary adults: a randomized controlled trial.PeerJ · 2023Trial
- Muscle point-of-care ultrasound as a predictor of mortality in older adults with hip fracture.European geriatric medicine · 2026Observational
- Muscle fibre denervation in ageing.Clinical science (London, England : 1979) · 2026Review
- The other half of the sprinting coin: the neuromuscular profile of a 91-yr-old female world record sprinter.Journal of applied physiology (Bethesda, Md. : 1985) · 2026Article
- Identifying key diaphragm ultrasound predictors for early screening of respiratory sarcopenia.Scientific reports · 2026Article
- Interrelationships between malnutrition, dehydration, frailty, and sarcopenia in older adults with proximal femur fractures: a prospective observational study.Aging clinical and experimental research · 2026Observational
- Designing an mHealth App to Encourage Uptake of Muscle-Strengthening Exercise in Older Adults: Co-Design Focus Group Study.JMIR aging · 2026Article
- Persistence of fatigue in the absence of pathophysiological mechanisms in some patients more than 2 years after the original SARS-CoV-2 infection.Experimental physiology · 2026Article
- The Clinical Impact of Sarcopenia and Delirium in Hospitalized Elderly Patients: An Analysis Using Muscle Ultrasound.Journal of cachexia, sarcopenia and muscle · 2026Article
- The STS test and its correlation with common clinical indicators for an Argentinian population sample.Scientific reports · 2026Article
- Equation-derived SMI not generalizable for DXA-defined low muscle mass in Chinese adults: external validation study.Frontiers in nutrition · 2026Article
- Effects of 12 weeks resistance training on muscle quality and physical performance in normal-weight and obese older women.Frontiers in physiology · 2026Article
- Assessing SARCopenia with ecHOgraphy in Community-Dwelling Older Adults: A Validation Study (SARCHO).Journal of frailty, sarcopenia and falls · 2025Article
- Establishing Ultrasound Thresholds for Sarcopenia Diagnosis in Older Brazilian Adults.Muscles (Basel, Switzerland) · 2025Article
- A sarcopenia prediction model based on the calf maximum muscle circumference measured by ultrasound.BMC geriatrics · 2025Article
- Value of Conventional Ultrasound Combined with Shear Wave Elastography for Sarcopenia in Patients with Cardiovascular Disease.Clinical interventions in aging · 2025Article
- Effects of altered contractile environment on muscle shape change in the human triceps surae.The Journal of experimental biology · 2024Article
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Abstract
backgroundThe assessment of muscle mass is a key determinant of the diagnosis of sarcopenia. We introduce for the first time an ultrasound imaging method for diagnosing sarcopenia based on changes in muscle geometric proportions.
methodsVastus lateralis muscle fascicle length (Lf) and thickness (Tm) were measured at 35% distal femur length by ultrasonography in a population of 279 individuals classified as moderately active elderly (MAE), sedentary elderly (SE) (n = 109), mobility impaired elderly (MIE) (n = 43), and in adult young controls (YC) (n = 60). The ratio of Lf/Tm was calculated to obtain an ultrasound index of the loss of muscle mass associated with sarcopenia (USI). In a subsample of elderly male individuals (n = 76) in which corresponding DXA measurements were available (MAE, n = 52 and SE, n = 24), DXA-derived skeletal muscle index (SMI, appendicular limb mass/height
resultsFor both young and older participants, USI values were found to be independent of sex, height and body mass. USI values were 3.70 ± 0.52 for YC, 4.50 ± 0.72 for the MAE, 5.05 ± 1.11 for the SE and 6.31 ± 1.38 for the MIE, all significantly different between each other (P < 0.0001). Based on the USI Z-scores, with reference to the YC population, the 219 elderly participants were stratified according to their muscle sarcopenic status. Individuals with USI values within a range of 3.70 < USI ≥ 4.23 were classified as non-sarcopenic (prevalence 23.7%), those with USI values within 4.23 < USI ≥ 4.76 were classified as pre-sarcopenic (prevalence 23.7%), those with USI values within 4.76 < USI ≥ 5.29 were classified as moderately sarcopenic (prevalence 15.1%), those with USI values within range 5.29 < USI ≥ 5.82 were classified as sarcopenic (prevalence 27.9%), and those with USI values >5.82 were classified as severely sarcopenic (prevalence 9.6%). The DXA-derived SMI was found to be significantly correlated with USI (r = 0.61, P < 0.0001). Notably, the USI cut-off value for moderate sarcopenia (4.76 a.u.) was found to coincide with the DXA cut-off value of sarcopenia (7.26 kg/m
conclusionsWe propose a novel, practical, and inexpensive imaging marker of the loss of muscle mass associated with sarcopenia, called the ultrasound sarcopenic index (USI), based on changes in muscle geometric proportions. These changes provide a useful 'signature of sarcopenia' and allow the stratification of individuals according to the presence and severity of muscle sarcopenia. We are convinced that the USI will be a useful clinical tool for confirming the diagnosis of sarcopenia, of which the assessment of muscle mass is a key-component.
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