Bio-impedance analysis for appendicular skeletal muscle mass assessment in (pre-) frail elderly people

Baar, Harm van; Hulshof, P.J.M.; Tieland, Michael; Groot, Lisette C. P. G. M. de

doi:10.1016/j.clnesp.2015.05.002

Cited by 11 publications

(23 citation statements)

References 31 publications

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“…Regarding the participants' age, 10 studies proposed an equation for subjects aged 65 years and older [35,41,45e48,51e53], 9 for adults (age range 24e53 years) [16,31,36e39,42,50,54], 4 for children [32,33,43,49] and 2 did not report the age of the study population [34,40]. Most studies included healthy participants, except for some specific populations such as obese children [32,33], adults with chronic kidney diseases [41,42], healthy adults but at risk of osteopenia [38], and older subjects presenting sarcopenia or frailty [51,53].…”

Section: Studies Characteristicsmentioning

confidence: 99%

“…Regarding BIA devices used, it is observed that: 1) Different brands of BIA have been used throughout the studies: among them, 5 studies reported using the Inbody device [16,39,42,44,46], 8 used the RJL systems [35,37,38,43,47,49,52,53], 4 studies reported using the Tanita system [32,33,45,50], 3 used the Xitron devices [40,41,51] and the 5 last ones used other devices [31,34,36,48,54]. However, among the same brand of BIA devices a large diversity is also observed regarding the version of the devices used.…”

Section: Muscle Mass Assessmentmentioning

confidence: 99%

“…For example, Inbody model version 3.0 has been used by three authors [39,42,44] while others used Inbody 720 and Inbody S10 models have been used by others [16,46]. 2) Different frequencies were used for the assessment: most of the studies used single frequency at 50 kHz with one study using single frequency at 250 kHZ [44] and 9 other studies using multifrequency [16,34,36,39,42,45,46,50,51]. 3) Different modes were used for the assessment: 9 studies used segmental analysis [16,32,33,35,36,39,42,46,50], 5 used wholebody analysis [37,49,51e53], 1 study used both types [31] and 10 studies did not reported the mode chosen [34,38,40,41,43e45,47,48,54].…”

Section: Muscle Mass Assessmentmentioning

confidence: 99%

“…4) Difference regarding the number of electrodes and their placement (if the mode is segmental): For all of the studies using a segmental mode, the electrode placement was hand-to-foot. The number of electrodes varies between 4 electrodes (reported in 6 studies [31,38,40,43,51,53]), 6 electrodes (reported in one study [36]), 8 electrodes (reported in 10 studies [16,32,33,35,39,42,44e46,50]) and 16 electrodes (reported in one study [50]). The other studies did not report the number of electrodes used.…”

Section: Muscle Mass Assessmentmentioning

confidence: 99%

“…Regarding the reference standard instrument used to compare BIA-data and to compute an equation, only 4 studies [31,34,37,54] used MRI as reference method for the measurement of muscle mass. Two of these four studies measured skeletal muscle volume (SMV) [31,34] and the two other ones measured skeletal muscle mass (SM) [45,51]. All the other validation studies used DXA (half of them using Lunar technologies and half of them using Hologic technologies) ( Table 3).…”

Section: Muscle Mass Assessmentmentioning

confidence: 99%

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Equation models developed with bioelectric impedance analysis tools to assess muscle mass: A systematic review

Beaudart

Bruyère

Geerinck

et al. 2020

Clinical Nutrition ESPEN

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Background & aims: This systematic review aims to systematically assess and summarize the equation models developed to estimate muscle mass with bioelectric impedance analysis (BIA) instruments against a reference instrument (DXA, MRI, CT-scan, Ultrasonography), in order to help researchers and clinicians choose the most adapted equation, depending on the device and the population in question. Methods: The Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) statement was followed. Medline (via Ovid) and Scopus were searched in January 2019 for observational (transversal, longitudinal, retrospective) studies developing an equation prediction model to validate BIA against another reference method for the assessment of muscle mass. Study selection and data extraction was performed independently by two researchers. Methodological quality of the included studies was assessed using the Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) tool. Results: 25 studies matched the inclusion criteria and were included in the present systematic review. Among them, 10 studies proposed an equation for subjects aged 65 years and older, 9 for adults, 4 for infants and 2 did not report the age of the population. A large heterogeneity was observed regarding the brand and type of BIA as well as the administration protocol (mode, frequency, number of electrodes, administration position and empty bladder/stomach or not). Most of the studies used DXA as the reference instrument, except 4 that used MRI. In each of the included papers authors provided, through simple or multiple regression, a predictive equation for muscle mass. BIA resistance index, sex, weight, age, BIA reactance and height were most frequently included as predictive variables. The majority of the equations developed explained more than 80% of the variance between both instruments. Out of the 25 equations available, only 9 were also validated in another population within the same paper. Conclusion: This systematic review of the literature offers clinicians and researchers the opportunity to verify the existence of a prediction equation when using a BIA device for estimating muscle mass. This will help them to obtain a valid estimation of muscle mass in a specific population and with a specific instrument. If the equation exists and has been validated by a study free of high risk of bias, it's use is recommended because the development of a new equation in the same context seems redundant and undesirable. If a validation has not been carried out for a specific brand of BIA, reference method or population, we recommend the development and cross-validation of a new equation.

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Section: Studies Characteristicsmentioning

confidence: 99%

Section: Muscle Mass Assessmentmentioning

confidence: 99%

Section: Muscle Mass Assessmentmentioning

confidence: 99%

Section: Muscle Mass Assessmentmentioning

confidence: 99%

Section: Muscle Mass Assessmentmentioning

confidence: 99%

See 3 more Smart Citations

Equation models developed with bioelectric impedance analysis tools to assess muscle mass: A systematic review

Beaudart

Bruyère

Geerinck

et al. 2020

Clinical Nutrition ESPEN

View full text Add to dashboard Cite

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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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Effects of intradialytic resistance exercise on systemic inflammation in maintenance hemodialysis patients with sarcopenia: a randomized controlled trial

2019

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Purpose To investigate the effect of intradialytic resistance exercise on inflammation markers and sarcopenia indices in maintenance hemodialysis (MHD) patients with sarcopenia. Methods Forty-one MHD patients with sarcopenia were divided into an intervention group (group E, n = 21) and a control group (group C, n = 20). Group C patients only received routine hemodialysis care, whereas group E patients received progressive intradialytic resistance exercise with high or moderate intensity for 12 weeks at three times per week (using the weight of the lower limbs and elastic ball movement of the upper limb) on the basis of routine hemodialysis care. Results After 12 weeks, a significant difference in physical activity status (maximum grip strength, daily pace, and physical activity level), Kt/V, and C-reactive protein was found between groups E and C. Inflammatory factors (interleukin (IL)-6, IL-10, and tumor necrosis factor(TNF)-α) increased or decreased more significantly in group E than in group C. Conclusions This study showed that intradialytic resistance exercise can improve physical activity effectively and reduce microinflammatory reactions even if this simple exercise does not affect the muscle mass in MHD patients with sarcopenia.

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Bio-impedance analysis for appendicular skeletal muscle mass assessment in (pre-) frail elderly people

Cited by 11 publications

References 31 publications

Equation models developed with bioelectric impedance analysis tools to assess muscle mass: A systematic review

Equation models developed with bioelectric impedance analysis tools to assess muscle mass: A systematic review

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

Effects of intradialytic resistance exercise on systemic inflammation in maintenance hemodialysis patients with sarcopenia: a randomized controlled trial

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