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Ultrasound-derived muscle assessment system for older adults: a promising muscle mass estimation tool.

ABSTRACT: Quantitative assessment of muscle mass is a critical step in sarcopenia disease management. Expanding upon the use of ultrasound in foetal growth assessment, we established and validated an ultrasound-derived muscle assessment system for older adults at a risk of sarcopenia. A total of 669 older adults were recruited in three cohorts in this cross-sectional study. In cohort 1(n = 103), the most valuable sites for skeletal muscle mass index (SMI) estimation were located among 11 ultrasound scanning sites. An ultrasound-derived SMI estimating algorithm based on muscle thickness (MT) was obtained in the modelling group composed of cohorts 1 and 2 (n = 309). The reliability of the muscle mass estimation equation and the validity of the obtained cut-off values were verified in cohort 3 (n = 257), which was selected as the verification group. In the modelling group, the cut-off values of ultrasound-derived e-SMI for low SMI were 7.13 kg/m2 for men and 5.81 kg/m2 for women. In the verification group, the intraclass correlation between e-SMI and SMI was 0.885. The sensitivity of the e-SMI in detecting low SMI was 93.6% for men and 89.7% for women, and the negative predictive value was 94.9% for men and 94.7% for women. Combined with the handgrip strength and gait speed, the e-SMI had an overall diagnostic sensitivity of 92.7% and a specificity of 91.0% for sarcopenia. The ultrasound-derived muscle assessment system can be a promising muscle mass estimation tool and a potential disease classification tool.

SUBMITTER: Tang X

PROVIDER: S-EPMC9799249 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature

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Ultrasound-derived muscle assessment system for older adults: a promising muscle mass estimation tool.

Tang Xinyi X Huang Songya S Huang Li L Feng Ziyan Z Wang Ziyao Z Yue Jirong J Qiu Li L

Age and ageing 20221201 12

<h4>Background</h4>Quantitative assessment of muscle mass is a critical step in sarcopenia disease management. Expanding upon the use of ultrasound in foetal growth assessment, we established and validated an ultrasound-derived muscle assessment system for older adults at a risk of sarcopenia.<h4>Methods</h4>A total of 669 older adults were recruited in three cohorts in this cross-sectional study. In cohort 1(n = 103), the most valuable sites for skeletal muscle mass index (SMI) estimation were ...[more]

PMID: 36580560

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Project description:BackgroundInflammatory processes are a cause of accelerated loss of muscle mass. Metabolic syndrome (MetS) is a highly prevalent age-related condition, which may promote and be promoted by inflammation. However, whether inflammation in MetS (metaflammation) is associated with lower muscle mass is still unclear.MethodsComplete cross-sectional data on body composition, MetS, and the inflammatory markers interleukin (IL)-1β, IL-6, IL-10, tumor necrosis factor (TNF), and C-reactive protein (CRP) were available for 1,377 BASE-II participants (51.1% women; 68 ± 4 years old). Appendicular lean mass (ALM) was assessed by dual-energy X-ray absorptiometry. Low muscle mass (low ALM-to-BMI ratio [ALMBMI]) was defined according to the Foundation for the National Institutes of Health (FNIH) Sarcopenia Project. Regression models, adjusted for an increasing number of confounders (sex, age, physical activity, morbidities, diabetes mellitus type II, TSH, albumin, HbA1c, smoking habits, alcohol intake, education, and energy intake/day), were used to calculate the association between low ALMBMI and high inflammation (tertile 3) according to MetS.ResultsMetS was present in 36.2% of the study population, and 9% had low ALMBMI. In the whole study population, high CRP (odds ratio [OR]: 2.7 [95% CI: 1.6-4.7; p = 0.001]) and high IL-6 (OR: 2.1 [95% CI: 1.2-1.9; p = 0.005]) were associated with low ALMBMI. In contrast, no significant association was found between TNF, IL-10, or IL-1β with low ALMBMI. When participants were stratified by MetS, results for IL-6 remained significant only in participants with MetS.ConclusionsAmong BASE-II participants, low ALMBMI was associated with inflammation. Low-grade inflammation triggered by disease state, especially in the context of MetS, might favor loss of muscle mass, so a better control of MetS might help to prevent sarcopenia. Intervention studies to test whether strategies to prevent MetS might also prevent loss of muscle mass seem to be promising.

Project description:AimsReduction in appendicular skeletal muscle mass index (ASMI) assessed by dual-energy X-ray absorptiometry (DEXA) has been shown to be independently associated with a higher mortality rate in patients with heart failure (HF). However, DEXA is not suitable for measurement of muscle mass in a daily clinical setting and in large population-based studies. The aim of this study was to determine whether ASMI predicted from anthropometric indicators (predicted ASMI) serves as an alternative to DEXA-measured ASMI for predicting all-cause death in HF patients.Methods and resultsData for 539 HF patients who received a DEXA scan and measurements of calf circumferences (CC) and mid-arm circumferences (MAC) in our hospital were analysed. Predicted ASMI was calculated as we previously reported: predicted ASMI (kg/m2 ) = [0.214 × weight (kg) + 0.217 × CC (cm) - 0.189 × MAC (cm) + 1.098 (male = 1, female = -1) + 0.576]/height2 (m2 ). Low ASMI values were defined as <7.00 kg/m2 and <5.40 kg/m2 for men and women, respectively, according to the criteria of the Asian Working Group for Sarcopenia. The median follow-up period was 1.75 years (interquartile range, 0.96-2.37 years), and 79 patients (15%) died. Kaplan-Meier survival curves showed that patients with low DEXA-measured ASMI and patients with low predicted ASMI had significantly lower survival rates than those for patients with high ASMI. In multivariate Cox proportional hazard analyses adjusted for age, sex, logarithmic B-type natriuretic peptide, cystatin C based-estimated glomerular filtration rate, and gait speed, DEXA-measured ASMI [hazard ratio (HR), 0.982; 95% confidence interval (CI), 0.967-0.998; P = 0.026] and predicted ASMI (HR, 0.979; 95% CI, 0.962-0.996; P = 0.018) were independent predictors of all-cause mortality. Inclusion of predicted ASMI into the adjustment model significantly improved continuous net reclassification improvement (0.338; 95% CI, 0.103-0.572; P < 0.01) and integrated discrimination improvement (0.020; 95% CI, 0.004-0.035; P < 0.05) for predicting mortality after discharge.ConclusionsPredicted ASMI, as well as DEXA-measured ASMI, can predict all-cause death in HF patients, and calculation of predicted ASMI will be useful for detecting high-risk patients in a daily clinical setting and in large population-based studies.

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Ultrasound-derived muscle assessment system for older adults: a promising muscle mass estimation tool.

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Ultrasound-derived muscle assessment system for older adults: a promising muscle mass estimation tool.

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