Evaluating skeletal muscle mass with ultrasound in patients with systemic sclerosis

Sari, Alper; Eşme, Mert; Ayçiçek, Gözde Şengül; Armağan, Berkan; Kılıç, Levent; Ertenli, Ali İhsan; Halil, Meltem; Akdoğan, Ali

doi:10.1016/j.nut.2020.110999

Cited by 13 publications

(39 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In all studies the muscle thickness and/or cross-sectional area was measured [11][12][13][14][15][16] . One of the studies divided the muscle thickness by the thigh length [15] .…”

Section: Study Resultsmentioning

confidence: 99%

“…The studies included in this review were all published in 2020 or 2021. The study populations were elderly people ( > 60 years) [ 11 , 12 ] or patients with varying diseases [13][14][15][16] . The mean age of the participants in the studies ranged from 52 to 79 [11][12][13][14][15][16] .…”

Section: Study Characteristicsmentioning

confidence: 99%

“…The study populations were elderly people ( > 60 years) [ 11 , 12 ] or patients with varying diseases [13][14][15][16] . The mean age of the participants in the studies ranged from 52 to 79 [11][12][13][14][15][16] . Different types of ultrasound systems were used, and the transducer frequencies ranged from 4-12 MHz.…”

Section: Study Characteristicsmentioning

confidence: 99%

See 2 more Smart Citations

The Diagnostic Value of Ultrasound of the Rectus Femoris for the diagnosis of Sarcopenia in adults: A systematic review

Nies

Ackermans

Poeze

et al. 2022

Injury

View full text Add to dashboard Cite

“…In all studies the muscle thickness and/or cross-sectional area was measured [11][12][13][14][15][16] . One of the studies divided the muscle thickness by the thigh length [15] .…”

Section: Study Resultsmentioning

confidence: 99%

Section: Study Characteristicsmentioning

confidence: 99%

See 1 more Smart Citation

The Diagnostic Value of Ultrasound of the Rectus Femoris for the diagnosis of Sarcopenia in adults: A systematic review

Nies

Ackermans

Poeze

et al. 2022

Injury

View full text Add to dashboard Cite

“…Anthropometric parameters that estimate muscle mass were lower in the sarcopenic group and the measures evaluated by US were more effective to assess sarcopenia than the bioimpedance method. Similarly, Sari A et al (2020) [49]. US measurement of the gastrocnemius or rectus abdominis thickness and calf muscle thicknesses were considered a good screening method to detect low muscle mass in patients with systemic sclerosis, high sensitivity, and negative predictive value.…”

Section: Discussionmentioning

confidence: 99%

Association of Subjective Global Assessment and Adductor pollicis muscle thickness with the Sarcopenia in older patients with type 2 diabetes

Beretta

Feldman

Silva

et al. 2022

Clinical Nutrition Open Science

View full text Add to dashboard Cite

Background and Aim: Sarcopenia is prevalent in older patients and increases the risk for negative outcomes during hospitalization and after hospital discharge. In patients with type 2 diabetes (T2D) this association may be even worse. Upon hospital admission, it is often difficult to identify sarcopenia, so the objective of this study was to assess whether the subjective global assessment (SGA), the European Society for Clinical Nutrition and Metabolism (ESPEN) and Global Leadership Initiative on Malnutrition (GLIM) criteria and/or usual anthropometric measures can predict sarcopenia. A secondary objective, to evaluate the accuracy of variables in the prediction of sarcopenia. Methodology: Patients 60 years old and with T2D were included. Malnutrition was evaluated in accordance with the guidelines of ESPEN and GLIM, and SGA. Anthropometric measurements were performed by Mid-arm circumference (MAC), mid-upper arm muscle circumference (MUAMC), and adductor pollicis muscle thickness (APMT) was performed. The sarcopenia was evaluated by handgrip strength, timed Up and Go (TUG) test and muscle mass by measuring the calf circumference (CC). Logistic regression was performed to assess the association of variables with Sarcopenia. Results: A total of 311 patients were included. The prevalence of malnutrition in accordance to ESPEN, GLIM and SGA was 18 (5.8%),

show abstract

“…The previous study reported that the quadriceps thickness measured by ultrasonography showed a significant difference between patients with and without sarcopenia [ 9 ]. Further, the gastrocnemius thickness was related to the low skeletal muscle mass [ 10 , 11 ], and the calf muscle thickness was reportedly the most associated with the skeletal muscle mass in extremities [ 12 ]. Conversely, the previous study showed that skeletal muscle mass could be affected by age, gender, body mass index (BMI), and physical performances [ 13 ].…”

Section: Introductionmentioning

confidence: 99%

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

Yuguchi

Asahi

Kamo

et al. 2022

IJERPH

View full text Add to dashboard Cite

Non-invasive and easy alternative methods to indicate skeletal muscle mass index (SMI) have not been established when dual energy X-ray absorptiometry (DXA) or bioelectrical impedance analysis (BIA) cannot be performed. This study aims to construct a prediction model including gastrocnemius thickness using ultrasonography for skeletal muscle mass index (SMI). Total of 193 Japanese aged ≥65 years participated. SMI was measured by BIA, and subcutaneous fat thickness and gastrocnemius thickness in the medial gastrocnemius were measured by using ultrasonography, and age, gender and body mass index (BMI), grip strength, and gait speed were collected. The stepwise multiple regression analysis was conducted, which incorporated SMI as a dependent variable and age, gender, BMI, gastrocnemius thickness, and other factors as independent variables. Gender, BMI, and gastrocnemius thickness were included as significant factors, and the formula: SMI = 1.27 × gender (men: 1, women: 0) + 0.18 × BMI + 0.09 × gastrocnemius thickness (mm) + 1.3 was shown as the prediction model for SMI (R = 0.89, R2 = 0.8, adjusted R2 = 0.8, p < 0.001). The prediction model for SMI had high accuracy and could be a non-invasive and easy alternative method to predict SMI in Japanese older adults.

show abstract

Evaluating skeletal muscle mass with ultrasound in patients with systemic sclerosis

Cited by 13 publications

References 28 publications

The Diagnostic Value of Ultrasound of the Rectus Femoris for the diagnosis of Sarcopenia in adults: A systematic review

The Diagnostic Value of Ultrasound of the Rectus Femoris for the diagnosis of Sarcopenia in adults: A systematic review

Association of Subjective Global Assessment and Adductor pollicis muscle thickness with the Sarcopenia in older patients with type 2 diabetes

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

Contact Info

Product

Resources

About