The Performance of Five Bioelectrical Impedance Analysis Prediction Equations against Dual X-ray Absorptiometry in Estimating Appendicular Skeletal Muscle Mass in an Adult Australian Population

Yu, Solomon; Powell, Alice; Khow, Kareeann Sok Fun; Visvanathan, Renuka

doi:10.3390/nu8040189

Cited by 37 publications

(35 citation statements)

References 16 publications

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“…A recent Australian study found that the Sergi et al equation was the most accurate (of 5 tested) for estimating ASMM using DEXA as the reference standard (in a group of Caucasian adults, 18-83 years of age). 25 In addition, they found that the Sergi equation had better predictive ability in overweight and obese individuals (similar to the patient group in this study). In addition, a source of potential error particularly relevant for the HD population is hydration status.…”

Section: Discussionsupporting

confidence: 81%

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Estimating the Prevalence of Muscle Wasting, Weakness, and Sarcopenia in Hemodialysis Patients

Slee

McKeaveney²,

Adamson³

et al. 2020

Journal of Renal Nutrition

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Haemodialysis (HD) patients suffer from nutritional problems, which include muscle wasting, weakness, and cachexia, and are associated with poor clinical outcomes. The European Working Group for Sarcopenia in Older People (EWGSOP) and Foundations for the National Institute of Health (FNIH) have developed criteria for the assessment of sarcopenia, including the use of non-invasive techniques such as Bioelectrical Impedance Analysis (BIA), anthropometry, and Hand Grip Strength (HGS) dynamometry. This study investigated the prevalence of muscle wasting, weakness, and sarcopenia using the EWGSOP and FNIH criteria. BIA was performed in 24 females (f) and 63 males (m) in the post-dialysis period. Total skeletal muscle mass (TSMM) and appendicular skeletal muscle mass (ASMM) were estimated and index values (i.e., muscle mass divided by height 2 [kg/m 2 ]) were calculated (Total Skeletal Muscle Index (TSMI) and Appendicular Skeletal Muscle Index (ASMI)). Mid-arm circumference and triceps skin-fold thickness were measured and mid-upper arm muscle circumference (MUAMC) calculated. HGS was measured using a standard protocol and Jamar dynamometer. Suggested cut-points for low muscle mass and HGS were utilized from EWGSOP and FNIH criteria, with prevalence estimated, including sarcopenia. The prevalence varied depending on methodology: low TSMI (moderate and severe sarcopenia combined) was 55% for whole group: 21% (f) and 68% (m). Low ASMI was 32% for whole group: 25% (f) and 35% (m). Low MUAMC was 25% for whole group: 0% (f) and 30% (m). ASMI highly correlated with body mass index (BMI) (r = 0.78, P < .001) and MUAMC (r = 0.68, P < .001). Muscle weakness was high regardless of cut-points used (50-71% (f); 60-79% (m)). Internationally, this is the first study comparing measures of muscle mass (TSMM and ASMM by BIA and MUAMC) and muscle strength (HGS) using this specific methodology in a haemodialysis population. Future work is required to confirm findings.

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Section: Discussionsupporting

confidence: 81%

“…5 Sergi et al 24 recently developed a BIA equation for ASMM using DEXA in a Caucasian older (60+ years) population group. Yu et al 25 recently compared this equation to 4 others for ASMM in a group of healthy Australian Caucasian participants (n = 195, age range = 18-83 years, mostly from European decent).…”

Section: Introductionmentioning

confidence: 99%

Estimating the Prevalence of Muscle Wasting, Weakness, and Sarcopenia in Hemodialysis Patients

Slee

McKeaveney²,

Adamson³

et al. 2020

Journal of Renal Nutrition

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“…However, estimating muscle mass can be a troublesome task, one that usually requires the use of high‐cost, time‐consuming, or health facility–restricted methods such as computed tomography and dual‐energy X‐ray absorptiometry (DEXA) . Alternatively, over the last years, ASM prediction equations based on bioelectrical impedance analysis (BIA) have been proposed . However, BIA also has limitations of its own, particularly in older subjects and clinical settings …”

Section: Introductionmentioning

confidence: 99%

New Prediction Equations to Estimate Appendicular Skeletal Muscle Mass Using Calf Circumference: Results From NHANES 1999–2006

Santos

Gonzalez

Orlandi

et al. 2019

J Parenter Enteral Nutr

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Background Low appendicular skeletal muscle mass (ASM) is associated with negative outcomes, but its assessment requires proper limb muscle evaluation. We aimed to verify how anthropometric circumferences are correlated to ASM and to develop new prediction equations based on calf circumference and other anthropometric measures, using dual‐energy X‐ray absorptiometry (DEXA) as the reference method. Methods DEXA and anthropometric information from 15,293 adults surveyed in the 1999–2006 NHANES were evaluated. ASM was defined by the sum of the lean soft tissue from the limbs. Anthropometric data included BMI and calf, arm, thigh, and waist circumferences. Correlations were assessed by Pearson's correlation, and multivariable linear regression produced 4 different ASM prediction equations. The concordance and the overall 95% limits of agreement between measured and estimated ASM were assessed using Lin's coefficient and Bland‐Altman's approach. Results Calf and thigh circumferences were highly correlated with ASM, independent of age and ethnicity. Among the models, the best performance came from the equation constituted solely by calf circumference, sex, race, and age as independent variables, which was able to explain almost 90% of the DEXA‐measured ASM variation. The inclusion of different anthropometric parameters in the model increased collinearity without improving estimates. Concordance between the four developed equations and DEXA‐measured ASM was high (Lin's concordance coefficient >0.90). Conclusion Despite the good performance of the four developed equations in predicting ASM, the best results came from the equation constituted only by calf circumference, sex, race, and age. This equation allows satisfactory ASM estimation from a single anthropometric measurement.

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“…A second strength relates to the use of bioelectrical impedance analysis to evaluate body composition. A previous report that compared bioelectrical impedance analysis with dual X‐ray absorptiometry showed that the ability to estimate the amount of skeletal muscle mass was the same with both methods . Furthermore, bioelectrical impedance analysis is a simple and non‐invasive method compared with dual X‐ray absorptiometry, including computed tomography or magnetic resonance imaging.…”

Section: Discussionmentioning

confidence: 99%

Clinical and pathological features of sarcopenia‐related indices in patients with non‐alcoholic fatty liver disease

Seko

Mizuno

Okishio

et al. 2019

Hepatology Research

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Background Sarcopenia is diagnosed with the skeletal muscle index (SMI) or the sarcopenia index (SI). We previously reported that the ratio of skeletal muscle mass to body fat mass (SF ratio) was a novel index of sarcopenia in patients with non‐alcoholic fatty liver disease (NAFLD). The aim of this retrospective study was to evaluate sarcopenia with these indices in patients with NAFLD. Methods One hundred and fifty‐six consecutive patients with biopsy‐proven NAFLD and alanine aminotransferase (ALT) >40 IU/L were enrolled. Liver function and body composition were evaluated in 121 patients after 12 months. We evaluated the relationship between histological findings, changes in liver function, and the SMI, SI, and SF ratio. Results Of the 156 patients enrolled, 13.5% and 26.3% were diagnosed with sarcopenia with the SMI and SI. In patients with hepatic fibrosis stage <2, the SI and the SF ratio were significantly greater than in patients with fibrosis stage ≥2. There was no difference in SMI between groups. In the cohort assessed at baseline and 12 months later, transaminase activity and SMI decreased significantly, and the SF ratio increased over time. A multivariate analysis revealed the presence of the PNPLA3 G allele and an increase in SF ratio (odds ratio, 7.406) as predictive factors of ALT reduction >30% from baseline. Conclusions Due to the high prevalence of obesity, we should consider both skeletal muscle mass and body fat mass in the diagnosis and treatment of NAFLD. The SF ratio could be a useful index in sarcopenic NAFLD.

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The Performance of Five Bioelectrical Impedance Analysis Prediction Equations against Dual X-ray Absorptiometry in Estimating Appendicular Skeletal Muscle Mass in an Adult Australian Population

Cited by 37 publications

References 16 publications

Estimating the Prevalence of Muscle Wasting, Weakness, and Sarcopenia in Hemodialysis Patients

Estimating the Prevalence of Muscle Wasting, Weakness, and Sarcopenia in Hemodialysis Patients

New Prediction Equations to Estimate Appendicular Skeletal Muscle Mass Using Calf Circumference: Results From NHANES 1999–2006

Clinical and pathological features of sarcopenia‐related indices in patients with non‐alcoholic fatty liver disease

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