DXA-Rectified Appendicular Lean Mass: Development of Ultrasound Prediction Models in Older Adults

Abe, Takashi; Thiebaud, Robert S.; Loenneke, Jeremy P.; Fujita, Eiji; Akamine, Takuya

doi:10.1007/s12603-018-1053-1

Cited by 16 publications

(26 citation statements)

References 29 publications

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“…Previous studies have shown a good correlation between ultrasound assessment of muscle and skeletal muscle mass measured by DXA 28 - 30 . Ismail et al 31 found a positive correlation between the muscle thickness measured by ultrasound and skeletal muscle mass measured by DXA.…”

Section: Discussionmentioning

confidence: 76%

Ultrasound for Measuring the Cross-Sectional Area of Biceps Brachii Muscle in Sarcopenia

Li¹,

Li²,

Hu³

et al. 2020

Int. J. Med. Sci.

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Background: Ultrasound is emerging as an effective method for measuring muscle mass in elderly people. It has been applied in numerous studies to obtain measurement of lower limbs. The study aims to explore the relationship between sarcopenia and ultrasound measurements of biceps brachii. Methods: Participants (n=179) aged over 60 years were enrolled from the first affiliated hospital of Zhejiang University. The muscle thickness (MT), cross-sectional area (CSA) and fat thickness (FT) of these participants were recorded. Spearman test and partial correlation test was used to determine the correlation between indicators. Mann-Whitney U test was performed to compare ultrasonic parameters between sarcopenia group and non-sarcopenia group. The binary logistic regression analysis was employed to detect the potential indicators and prediction equation of sarcopenia. Receiver operating characteristic (ROC) curve analysis was performed for the accuracy of equation. Results: The prevalence of sarcopenia were 16.3% and 10.8% respectively in men and women. CSA was significantly lower in sarcopenia group than non-sarcopenia group in women ( P <0.05). CSA was positively correlated with skeletal muscle mass index (SMI) and grip strength (men: r=0.460, 0.433; women: r=0.267, 0.392). After controlling of age and BMI, these correlations disappeared. Binary logistic regression analysis showed that age (OR=1.149, 95%CI: 1.060-1.246; P =0.001) and CSA (OR=0.465, 95%CI: 0.225-0.963; P =0.039) was significant indicators associated with sarcopenia. Area Under Curve was 0.822 (95%CI: 0.725-0.919, P<0.001) for the prediction equation composed of age, gender and CSA for sarcopenia. Conclusion: CSA of the biceps brachii measured with ultrasound is an important indicator associated with sarcopenia.

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Section: Discussionmentioning

confidence: 76%

Ultrasound for Measuring the Cross-Sectional Area of Biceps Brachii Muscle in Sarcopenia

Li¹,

Li²,

Hu³

et al. 2020

Int. J. Med. Sci.

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“…Indeed, it is not easily feasible in routine care, and it does not allow for the visualization of fat distribution. Other complementary exploration should be discussed, such as the development of ultrasound-based approaches for a quantitative and qualitative characterization of muscle composition, for example [44].…”

Section: Discussionmentioning

confidence: 99%

Association between Bone Mineral Density and Fat Mass Independent of Lean Mass and Physical Activity in Women Aged 75 or Older

et al. 2021

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(1) Osteoporosis and sarcopenia are frequent pathologies among the geriatric population. The interlink between these two diseases is supported by their common pathophysiology. The aim is to explore the relationship between bone mineral density (BMD) and body composition in women aged 75 or older. (2) From January 2016 to December 2019, women aged 75 or older of Caucasian ethnicity, who were addressed to perform a biphoton absorptiometry (DXA), were included in this observational study. Femoral neck T-score, lean mass, fat mass, and physical performances were measured. (3) The mean age of 101 patients included was 84.8 (±4.9) years old. Osteoporosis was present in 72% of patients. According to EWGSOP criteria, 37% of patients were sarcopenic. Osteosarcopenia was present in 34% of patients. The femoral neck T-score was significantly associated with fat mass (β = 0.02, 95% CI (0.01; 0.03), p < 0.05) in multivariable analysis. Osteosarcopenic patients had significantly lower fat mass (16.2 kg (±6.8) vs. 23.1 kg (±10.8), p < 0.001) and body mass index (BMI) (20.7 kg/m2 (±2.8) vs. 26.7 kg/m2 (±5.6), p < 0.001). (4) In postmenopausal women, fat mass is estimated to provide hormonal protection. While osteosarcopenia is described as a lipotoxic disease, fat mass and BMI would appear to protect against the risk of osteosarcopenia. This raises questions about the relevance of BMI and DXA.

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“…score 7 or higher) [10e13,16e26]. These studies did not reach the maximum score because the assessors were not blinded [10e13,22e26], the muscles were not relaxed [10e13,16,22e25], the timeframe was not stated [12,13,16,22,23], or the position of the transducer was not described [10,11,16,25,26]. Although the method of the studies often stated that the muscles were relaxed, we still chose to indicate that this was not the case.…”

Section: Study Qualitymentioning

confidence: 99%

“…In addition, participants are exposed to radiation during a CT-scan [9]. DXA can be used to measure lean mass [10]. Lean mass includes skeletal muscle mass (SMM) as well as non-skeletal components such as skin, connective tissue, and the fat-free component of adipose tissue cells (FFAT) [11].…”

Section: Introductionmentioning

confidence: 99%

The validity of ultrasound-derived equation models to predict whole-body muscle mass: A systematic review

Broeck

Buzzatti

Jager‐Wittenaar

et al. 2021

Clinical Nutrition ESPEN

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DXA-Rectified Appendicular Lean Mass: Development of Ultrasound Prediction Models in Older Adults

Cited by 16 publications

References 29 publications

Ultrasound for Measuring the Cross-Sectional Area of Biceps Brachii Muscle in Sarcopenia

Ultrasound for Measuring the Cross-Sectional Area of Biceps Brachii Muscle in Sarcopenia

Association between Bone Mineral Density and Fat Mass Independent of Lean Mass and Physical Activity in Women Aged 75 or Older

The validity of ultrasound-derived equation models to predict whole-body muscle mass: A systematic review

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