Prediction Model including Gastrocnemius Thickness for the Skeletal Muscle Mass Index in Japanese Older Adults

Yuguchi, Satoshi; Asahi, Ryoma; Kamo, Tomohiko; Azami, Masato; Ogihara, Hirofumi

doi:10.3390/ijerph19074042

Cited by 3 publications

(1 citation statement)

References 18 publications

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“…Of these, 138 studies were removed according to the inclusion and exclusion criteria. Finally, 28 studies were included in this systematic review for narrative synthesis ( 21 - 23 ) and ( 30 - 54 ). The flow chart for the selection process according to the PRISMA guidelines is displayed in Figure 1 .…”

Section: Resultsmentioning

confidence: 99%

The agreement of different techniques for muscle measurement in diagnosing sarcopenia: a systematic review and meta-analysis

Li,

Xia,

Zeng

et al. 2024

Quant Imaging Med Surg

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Background The measurement or estimation of muscle mass plays an important role in the diagnosis of sarcopenia. Beside dual-energy X-ray absorptiometry (DXA), several modalities, including bioelectrical impedance analysis (BIA), ultrasound (US), computed tomography (CT), and magnetic resonance imaging (MRI), have helped to provide imaging or electrical biomarkers for muscle mass. This study was aimed at summarizing the diagnostic performance of different techniques on muscle assessment for sarcopenia. Methods Studies on the assessment of muscle mass by different techniques (compared with DXA), published from inception to 12 October, 2023 were retrieved from 4 electronic databases: the Cochrane Library, Embase, PubMed, and Web of Science. The quality assessment of included studies was conducted using the Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2). The sensitivity, specificity, Cohen’s kappa coefficient (κ), and Pearson correlation coefficient (r) with 95% confidence intervals (CIs) were pooled and presented via forest plots. The area under the curve (AUC) with 95% CI was pooled and presented via summary receiver operating characteristic (sROC) curve. Results A total of 28 studies involving 4,926 participants were included. Compared with DXA, the pooled sensitivity and specificity, AUC, and Cohen’s κ were 0.79 (95% CI: 0.71–0.86, P<0.001), 0.95 (95% CI: 0.82–0.99, P<0.001), and 0.88 (95% CI: 0.85–0.90), and 0.61 (95% CI: 0.51–0.72) for BIA. The pooled r value between DXA and BIA or US or MRI was 0.94 (95% CI: 0.92–0.96, P<0.001), 0.69 (95% CI: 0.54–0.80, P<0.001), and 0.96 (95% CI: 0.95–0.97, P=0.21), respectively. No qualified original study in relation to CT was included. Conclusions BIA, US, and MRI would provide acceptable diagnostic accuracy for sarcopenia by evaluating muscle mass in terms of sensitivity, specificity, accuracy, and their higher correlations with DXA. Further investigation is required to elucidate the value of CT in diagnosing sarcopenia.

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Section: Resultsmentioning

confidence: 99%

The agreement of different techniques for muscle measurement in diagnosing sarcopenia: a systematic review and meta-analysis

Li,

Xia,

Zeng

et al. 2024

Quant Imaging Med Surg

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Mitochondrial remodeling underlying age-induced skeletal muscle wasting: let’s talk about sex

Moreira-Pais,

Vitorino,

Sousa-Mendes

et al. 2024

Free Radical Biology and Medicine

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Handheld Ultrasound Parameters of Lower Limb Muscles versus Bioelectrical Impedance Analysis Parameters for Skeletal Muscle Assessments in Arabic Female Adults

Alamoudi,

Aldisi,

El-Sharkawy

et al. 2024

Diagnostics

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Ultrasound (US) is a promising tool for skeletal muscle assessment; however, US studies have scarcely focused on Arabic populations. This study examined the association of handheld US indicators and bioelectrical impedance analysis (BIA) parameters in healthy Arabic females. A cross-sectional study was conducted on 60 healthy Arabic females whose muscle thickness (MT) and cross-sectional area (CSA) of the rectus femoris (RF) were measured alongside their MT and pennation angle (PA) of the medial gastrocnemius (MG) muscle (both muscles on the dominant side). Anthropometric and body composition analyses quantified fat-free mass (FFM) and appendicular skeletal muscle mass (ASMM). Muscle strength was assessed using a handgrip dynamometer, and physical activity levels were recorded with the Global Physical Activity Questionnaire (GPAQ). The CSA of the RF and the MT of both the RF and MG correlated significantly with FFM and ASMM. The PA of MG showed no significant correlations with ASMM, FFM, or handgrip strength. The CSA of RF was significantly correlated with handgrip strength (r = 0.313, p = 0.015), while the PA of MG correlated positively with GPAQ score (r = 0.346, p = 0.007). The CSA of RF significantly predicted both ASMM (β = 0.883, p = 0.0002) and FFM (β = 1.935, p = 0.0001). In conclusion, handheld US parameters, especially the RF’s CSA, correlate with and can predict BIA-based FFM and ASMM in healthy females.

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Prediction Model including Gastrocnemius Thickness for the Skeletal Muscle Mass Index in Japanese Older Adults

Cited by 3 publications

References 18 publications

The agreement of different techniques for muscle measurement in diagnosing sarcopenia: a systematic review and meta-analysis

The agreement of different techniques for muscle measurement in diagnosing sarcopenia: a systematic review and meta-analysis

Mitochondrial remodeling underlying age-induced skeletal muscle wasting: let’s talk about sex

Handheld Ultrasound Parameters of Lower Limb Muscles versus Bioelectrical Impedance Analysis Parameters for Skeletal Muscle Assessments in Arabic Female Adults

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