scholarly journals Relationship between Skeletal Muscle Mass and Physical Function of Perioperative Gastrointestinal Cancer Patients: Measurement of Skeletal Muscle Mass Using a BIA Body Composition Analyzer

2020 ◽  
Vol 35 (6) ◽  
pp. 849-853
Author(s):  
Yuta SUGITA ◽  
Tsuyoshi HARA ◽  
Akira KUBO
Keyword(s):  
Skeletal Muscle ◽  
Body Composition ◽  
Physical Function ◽  
Cancer Patients ◽  
Muscle Mass ◽  
Gastrointestinal Cancer ◽  
Skeletal Muscle Mass ◽  
Composition Analyzer

scholarly journals A Machine Learning Approach to Predict Body Composition in Advanced Cancer Patients.

2021 ◽  
Author(s):  
Pablo Cresta Morgado ◽  
Alfredo Navigante ◽  
Adriana Pérez
Keyword(s):  
Machine Learning ◽  
Skeletal Muscle ◽  
Body Composition ◽  
Variable Selection ◽  
Cancer Patients ◽  
Muscle Mass ◽  
Fat Mass ◽  
Skeletal Muscle Mass ◽  
Daily Practice ◽  
Smoothing Splines

Abstract BACKGROUND:Body composition and its changes affect cancer patient outcomes. Its determination requires specific and expensive devices. We designed a study to evaluate machine learning approaches to predict fat and skeletal muscle mass using daily practice clinical variables.METHODS:We designed a cross-sectional study in advanced gastrointestinal cancer patients. Response variables were skeletal muscle mass and body fat mass, measured by bioimpedance analysis. Predictors were laboratory and anthropometric variables. Imputation methods were applied. Six approaches were analyzed: (1) multicollinearity analysis, best subset selection (BSS) and multiple linear regression; (2) multicollinearity, BSS and generalized additive models (GAM); (3) multicollinearity, lasso to perform variable selection and GAM; (4) ridge regression; (5) lasso regression; (6) random forest. Model selection was performed evaluating the Mean Squared Error calculated by leave-one-out cross-validation.RESULTS:We included 101 patients under chemotherapy treatment. For skeletal muscle mass, the best approach was the combination of multicollinearity analysis followed by BSS and GAM using smoothing splines with 6 variables (albumin, Hb, height, weight, sex, lymphocytes). The adjusted R2 was 0.895. The best approach for fat mass was multicollinearity analysis, variable selection by lasso, and GAM using smoothing splines with 3 variables (waist-hip ratio, weight, sex). The adjusted R2 was 0.917.CONCLUSION:We developed the first accurate predictive models for body composition in cancer patients applying daily practice clinical variables. This study shows that machine learning is a useful tool to apply in body composition. This is a starting point to evaluate these approaches in research and clinical practice.

scholarly journals Impact of a ketogenic diet intervention during radiotherapy on body composition: III. An interim analysis of the KETOCOMP study

2018 ◽  
Author(s):  
Rainer J. Klement ◽  
Gabriele Schäfert ◽  
Reinhart A. Sweeney
Keyword(s):  
Breast Cancer ◽  
Skeletal Muscle ◽  
Amino Acids ◽  
Rectal Cancer ◽  
Body Composition ◽  
Cancer Patients ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Essential Amino Acids ◽  
Ketogenic Diets

AbstractBackgroundKetogenic therapy (KT) in the form of ketogenic diets (KDs) and/or supplements that induce nutritional ketosis have gained interest as a complementary treatment for cancer patients. Besides putative anti-tumor effects, preclinical and preliminary clinical data indicate that KT could induce favorable changes in body composition of the tumor bearing host. Here we present first results of our ongoing KETOCOMP study (NCT02516501) study concerning body composition changes among rectal, breast and head & neck cancer (HNC) patients who underwent concurrent KT during standard-of-care radiotherapy (RT).MethodsEligible patients were assigned to one of three groups: (i) a standard diet group; (ii) a ketogenic breakfast group taking 50-250 ml of a medium-chain triglyceride (MCT) drink plus 10 g essential amino acids in the morning of RT days; (iii) a complete KD group supplemented with 10 g essential amino acids on RT days. Body composition was to be measured prior to and weekly during RT using 8-electrode bioimpedance analysis. Longitudinal data were analyzed using mixed effects linear regression.ResultsA total of 17 patients underwent KT during RT thus far (rectal cancer: n=6; HNC: n=6; breast cancer: n=5). All patients consuming a KD (n=14) reached nutritional ketosis and finished the study protocol with only minor problems reported. Compared to control subjects, the ketogenic intervention in rectal and breast cancer patients was significantly associated with a decline in fat mass over time (−0.3 and −0.5 kg/week, respectively), with no significant changes in skeletal muscle mass. In HNC patients, concurrent chemotherapy was the strongest predictor of body weight, fat free and skeletal muscle mass decline during radiotherapy, while KT showed significant opposite associations. Rectal cancer patients who underwent KT during neoadjuvant RT had significantly better tumor response at the time of surgery as assessed by the Dworak regression grade (median 3 versus 2, p=0.04483).ConclusionsWhile sample sizes are still small our results already indicate some significant favorable effects of KT on body composition. These as well as a putative radiosensitizing effect on rectal tumor cells need to be confirmed once the final analysis of our study becomes possible.

scholarly journals Body composition and energy intake — skeletal muscle mass is the strongest predictor of food intake in obese adolescents: The HEARTY trial

2016 ◽  
Vol 41 (6) ◽  
pp. 611-617 ◽  
Author(s):  
Jameason D. Cameron ◽  
Ronald J. Sigal ◽  
Glen P. Kenny ◽  
Angela S. Alberga ◽  
Denis Prud’homme ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Body Composition ◽  
Body Weight ◽  
Muscle Mass ◽  
Energy Intake ◽  
Skeletal Muscle Mass ◽  
Fat Free Mass ◽  
Cross Sectional ◽  
Percentage Body Fat ◽  
Obese Adolescents

There has been renewed interest in examining the relationship between specific components of energy expenditure and the overall influence on energy intake (EI). The purpose of this cross-sectional analysis was to determine the strongest metabolic and anthropometric predictors of EI. It was hypothesized that resting metabolic rate (RMR) and skeletal muscle mass would be the strongest predictors of EI in a sample of overweight and obese adolescents. 304 post-pubertal adolescents (91 boys, 213 girls) aged 16.1 (±1.4) years with body mass index at or above the 95th percentile for age and sex OR at or above the 85th percentile plus an additional diabetes risk factor were measured for body weight, RMR (kcal/day) by indirect calorimetry, body composition by magnetic resonance imaging (fat free mass (FFM), skeletal muscle mass, fat mass (FM), and percentage body fat), and EI (kcal/day) using 3 day food records. Body weight, RMR, FFM, skeletal muscle mass, and FM were all significantly correlated with EI (p < 0.005). After adjusting the model for age, sex, height, and physical activity, only FFM (β = 21.9, p = 0.007) and skeletal muscle mass (β = 25.8, p = 0.02) remained as significant predictors of EI. FFM and skeletal muscle mass also predicted dietary protein and fat intake (p < 0.05), but not carbohydrate intake. In conclusion, with skeletal muscle mass being the best predictor of EI, our results support the hypothesis that the magnitude of the body’s lean tissue is related to absolute levels of EI in a sample of inactive adolescents with obesity.

scholarly journals Combining Amino Acid and Vitamin D Supplementation with Exercise Training Increases Skeletal Muscle Mass and Prevent Bone Mineral Density Loss in Participants with Low Muscle Mass

2017 ◽  
Vol 10 (2) ◽  
pp. 28
Author(s):  
Ha Cao Thi Thu ◽  
Satoshi Kurose ◽  
Yaeko Fukushima ◽  
Nana Takao ◽  
Natsuko Nakamura ◽  
...  
Keyword(s):  
Bone Mineral Density ◽  
Skeletal Muscle ◽  
Vitamin D ◽  
Body Composition ◽  
Amino Acid ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Vitamin D Supplementation ◽  
Mineral Density ◽  
Supplement Group

This study evaluated the impact of exercise training with amino acid and vitamin D supplementation on muscle and bone mass in participants with low muscle volume. Twenty-nine Japanese participants (56-84 years old) were enrolled and assigned into the supplement (n=15) and non-supplement (n=14) groups. All participants underwent a 6-month exercise program. Supplements and nutrition support were provided to the participants in the supplement group for 12 weeks. Body composition and whole bone mineral density (BMD) were measured using dual energy x-ray absorptiometry. The outcomes, including body composition, whole BMD, and skeletal muscle mass index (SMI), were evaluated twice: pre- and post-intervention. The SMI was 6.51(6.28; 7.14) and 5.58 (5.24; 6.05) (kg/m2) in men and women, respectively. The average SMI change was 0.13% (-0.05%; 0.31%) and 2.33% (-0.88%; 5.48%); [mean (lower; upper quartile)]. The average BMD loss in the non-supplement group was -2.78%, and the BMD increased in the supplement group by 4.34%; there was an absolute difference between the two groups (p<0.05). After the intervention, serum myostatin was changed (p=0.001, non-supplement>supplement), serum vitamin D was increased (p=0.03; supplement>non-supplement), and BMD was maintained (p=0.03, supplement>non-supplement). There was a significant difference in the serum myostatin level at baseline and at 6-month in the non-supplement group, with a mean difference of 483.78 ng/ml (p=0.01). There was no significant improvement in the total lean mass, and handgrip strength. Resistance exercise combined with an amino acid supplement affects muscle and bone mass in the short-term intervention.

Appendicular skeletal muscle mass to truncal fat mass ratio as a new index for osteosarcopenic obesity syndrome in older adults: emphasizing the role of central obesity

2020 ◽  
Author(s):  
Lazuardhi Dwipa ◽  
Rini Widiastuti ◽  
Alif Bagus Rakhimullah ◽  
Marcellinus Maharsidi ◽  
Yuni Susanti Pratiwi ◽  
...  
Keyword(s):  
Older Adults ◽  
Skeletal Muscle ◽  
Body Composition ◽  
Muscle Mass ◽  
Fat Mass ◽  
Central Obesity ◽  
Skeletal Muscle Mass ◽  
Positive Correlation ◽  
Appendicular Skeletal Muscle ◽  
Appendicular Skeletal Muscle Mass

Abstract Background The relationship between obesity and low bone mineral density (BMD) in older adults is still unclear. Most of the previous study did not account the factor of sarcopenia which is the progressive loss of skeletal muscle mass due to aging, and distribution of fat in obesity. Thus, this study was aimed to explore the correlation between appendicular skeletal muscle mass (ASMM), total fat mass (FM), and truncal fat mass (TrFM) as well as indexes (ASMM/FM and ASMM/TrFM ratio) with BMD in older adults.Methods This was an analytic cross-sectional study. Dual x-ray absorptiometry (DXA) and bioelectric impedance analysis (BIA) were used to assess BMD and body composition, respectively. Appendicular Skeletal Muscle Mass (ASMM) were used in the analysis to reflect sarcopenia, Fat Mass (FM) and Trunkal Fat Mass (TrFM) were used to reflect general and central obesity, respectively. All data were obtained from medical records of Geriatric Clinic of Hasan Sadikin General Hospital Bandung Indonesia from January 2014 to December 2018. The correlation between body compositions variable with BMD were analyzed using Spearman’s test. We also conducted a comparison analysis of body composition variables between low and normal BMD using Mann-Whitney test. Results A total of 112 subjects were enrolled in the study. ASMM and TrFM were positive (rs=0.517, p<0.001) and negative (rS=-0.22, p=0.02) correlated with BMD, respectively. FM were not correlated with BMD, rS=-0.113 (p=0.234). As indexes, ASMM/FM and ASMM/TrFM had positive correlation with BMD, rS=0.277 (p<0.001), and rS=0.391 (p<0.001), respectively. The ASMM, TrFM, and ASMM/TrFM ratio between normal and low BMD also significantly different (p<0.001), meanwhile FM were not (p=0.204).Conclusion ASMM and TrFM have a positive and negative correlation with BMD, respectively. ASMM/TrFM ratio as new sarcopenia-central obesity index has a positive correlation with BMD.

P0960HOME BASED RESISTANCE EXERCISE PROGRAM AND SARCOPENIA IN HEMODIALYSIS PATIENTS: IT IS A USEFUL INTERVENTION?

2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Vicent Esteve Simó ◽  
Anna Junqué Jiménez ◽  
Verónica Duarte Gallego ◽  
Irati Tapia González ◽  
Fátima Moreno Guzmán ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Body Composition ◽  
Resistance Exercise ◽  
Muscle Mass ◽  
Functional Capacity ◽  
Muscular Strength ◽  
Skeletal Muscle Mass ◽  
Exercise Program ◽  
Hemodialysis Patients ◽  
Home Based

Abstract Background and Aims Sarcopenia is a skeletal muscle disorder associated with adverse outcomes including falls, physical disability and mortality particularly in hemodialysis (HD) patients. Currently, progressive resistance training exercise has been shown a proven method to treat and prevent sarcopenia. Nevertheless, these findings are poorly investigated in HD patients since exercise programs are not widespread. The aim of our study was to assess the effect of a home-based resistance exercise program (HBREP) on muscular strength, functional capacity and body composition in our hemodialysis patients with sarcopenia according to the European Working Group on Sarcopenia in Older People criteria (EWGSOP2). Method A 12 weeks single-center prospective study. HD patients from our institution with EWGSOP2 sarcopenia diagnosis were enrolled in a HBREP. Demographical an anthropometrical data, main biochemical and nutritional parameters, hand grip (HG) muscular strength, functional capacity tests: Sit to stand to seat 5 (STS5); Short Physical Performance Battery (SPPB), gait speed (GS), as well as body composition determined by electrical bioimpedance (BIA) and sarcopenia severity were analized. Results 18 HD patients with sarcopenia (71.4% severe) were included (4 drop out).78.6% men. Mean age 74.7 years and 53.3 months on HD. The main etiologies of ESRD were the HBP (21.4%) and DM (14.3%). Globally, a significant improvement was observed at the end of the study in relation to muscular strength (HG 19.9±6.1 vs 22.2±7.1 kg, p 0.001) and functional capacity tests (STS5 21.9±10.3 vs 17.2±9.9 sec, p 0.001; SPPB (6.9±2.3 vs 9.1±2.5 score, p 0.001 and GS 0.8±0.1 vs 0.9±0.2 m/s, p 0.015). Likewise, higher total skeletal muscle mass (SMM, 14.3±2.8 vs 14.5±2.9 kg) and SMM index (SMM/height2, 5.5±0.7 vs 5.7±0.9 Kg/m2 ) were found at the end of the study, although these differences were not significant. Finally, 2 patients (14.8%) reverse the EWGSOP2 sarcopenia criteria and 3 (21.4%) enhanced their severe sarcopenia. No relevant changes regarding anthropometrical data, main biochemical and nutritional parameters or dialysis adequacy were observed at the end of the study. Conclusion A home-based resistance exercise program improves muscular strength, functional capacity and body composition in our sarcopenic hemodialysis patients. With our results, home-based resistance exercise programs should be considered a key point in the prevention and treatment of skeletal muscle mass reduction due to sarcopenia in these patients. Further studies are mandatory to confirm our encouraging results.

scholarly journals Staging of nutrition disorders in non‐small‐cell lung cancer patients: utility of skeletal muscle mass assessment

2019 ◽  
Vol 10 (4) ◽  
pp. 782-793 ◽  
Author(s):  
Sami Antoun ◽  
Hugues Morel ◽  
Pierre‐Jean Souquet ◽  
Veerle Surmont ◽  
David Planchard ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Skeletal Muscle ◽  
Small Cell Lung Cancer ◽  
Cancer Patients ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Small Cell ◽  
Small Cell Lung ◽  
Lung Cancer Patients ◽  
Nutrition Disorders

scholarly journals Impact of different palliative systemic treatments on skeletal muscle mass in metastatic colorectal cancer patients

2018 ◽  
Vol 9 (5) ◽  
pp. 909-919 ◽  
Author(s):  
Sophie A. Kurk ◽  
Petra H.M. Peeters ◽  
Bram Dorresteijn ◽  
Pim A. de Jong ◽  
Marion Jourdan ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Skeletal Muscle ◽  
Metastatic Colorectal Cancer ◽  
Cancer Patients ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Systemic Treatments ◽  
Colorectal Cancer Patients
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