scholarly journals Effects of 6 Months of Soy-Enriched High Protein Compared to Eucaloric Low Protein Snack Replacement on Appetite, Dietary Intake, and Body Composition in Normal-Weight Obese Women: A Randomized Controlled Trial

Nutrients ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 2266
Author(s):  
Neda Haghighat ◽  
Damoon Ashtary-Larky ◽  
Reza Bagheri ◽  
Alexei Wong ◽  
Neda Cheraghloo ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Body Composition ◽  
Dietary Intake ◽  
Muscle Mass ◽  
Body Mass ◽  
Skeletal Muscle Mass ◽  
Controlled Trial ◽  
Normal Weight ◽  
High Protein ◽  
Low Protein

(1) Background: The favorable effects of high protein snacks on body composition and appetite status in lean and athletic populations have been illustrated previously. However, the effects of soy-enriched high protein snacks have not been investigated in women with normal-weight obesity (NWO). Consequently, we aimed at comparing the effects of six months of soy-enriched high protein snack replacement on appetite, body composition, and dietary intake in women with NWO. (2) Methods: One hundred seven (107) women with NWO [(age: 24 ± 3 yrs, BMI: 22.7 ± 2.3 kg/m2, body fat percentage (BFP): 38 ± 3.2%)] who were assigned to one of two groups; high protein snack (HP, n = 52) containing 50 g soybean or isocaloric low-protein snack (protein: 18.2 g, carbohydrate: 15 g, fat: 10 g, energy: 210 kcal) or isocaloric low protein snack (LP, n = 55) containing 3.5 servings of fruit (protein: <2 g, carbohydrate: ≈50 g, fat: <1 g, energy: ≈210 kcal) as part of their daily meals (as a snack at 10 a.m.), successfully completed the study interventions. Body mass (BM), body mass index (BMI), waist circumference (WC), BFP, skeletal muscle mass, dietary intake, and appetite levels were evaluated prior to and after the six-month intervention. (3) Results: Appetite (HP = −12 mm and LP = −0.6 mm), energy intake (HP = -166.2 kcal/day and LP = 91.3 kcal), carbohydrate intake (HP = −58.4 g/day and LP = 6.4 g/day), WC (HP = −4.3 cm and LP = −0.9 cm), and BFP (HP = −3.7% and LP = −0.9%) were significantly (p < 0.05) reduced, while skeletal muscle mass (HP = 1.2 kg and LP = 0.3 kg) significantly increased in the HP compared to the LP group, respectively. (4) Conclusions: Six months of a soy-enriched high protein snack replacement decreased appetite and improved body composition in women with NWO. Our findings suggest that soy-enriched high protein snacks are an efficacious strategy for body composition improvement.

Effects of higher habitual protein intake on resistance-training-induced changes in body composition and muscular strength in untrained older women: A clinical trial study

2019 ◽  
Vol 25 (2) ◽  
pp. 103-112 ◽  
Author(s):  
Hellen CG Nabuco ◽  
Crisieli M Tomeleri ◽  
Paulo Sugihara Junior ◽  
Rodrigo R Fernandes ◽  
Edilaine F Cavalcante ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Body Composition ◽  
Older Women ◽  
Muscle Mass ◽  
Protein Intake ◽  
Muscular Strength ◽  
Skeletal Muscle Mass ◽  
High Protein ◽  
High Protein Intake ◽  
Induced Changes

Background: Aging is accompanied by progressive and accentuated decline in muscular strength and skeletal muscle mass, affecting health and functional autonomy. Both resistance training (RT) and diet are strategies that may contribute to improvement in the health of the elderly. Aim: The purpose of this study was to evaluate the effects of higher habitual protein intake on RT-induced changes in body composition and strength in untrained postmenopausal women. Methods: Seventy older women were submitted to an RT program. Body composition, muscular strength, and dietary intake (24 h dietary recall) were performed pre- and post-intervention. To verify different intervention effects according to protein intake of the participants, the sample was separated into tertiles according to protein intake: low, moderate, and high protein intake. Results: A time vs. group interaction ( p < 0.05) was observed, with high protein intake presenting greater increases compared with low protein intake, for skeletal muscle mass (5.3% vs. 1.3%), lower limb lean soft tissue (4.9% vs. 1.4%), upper lean soft tissue (4.9% vs. 1.2%), preacher curl (24% vs. 15.2%), and total strength (16.4% vs. 11.7%). A time vs. group interaction ( p < 0.05) was observed, with high protein intake presenting greater increases compared with moderate protein intake, for skeletal muscle mass (5.3% vs. 3.2%). In all groups, a main effect of time ( p < 0.05) was observed for knee extension and chest press. Conclusions: We conclude that intake of >1.0 g/kg/day of protein promotes gains in skeletal muscle mass and muscular strength after RT in untrained older women.

scholarly journals Association between −308 G/A TNF-αPolymorphism and Appendicular Skeletal Muscle Mass Index as a Marker of Sarcopenia in Normal Weight Obese Syndrome

2013 ◽  
Vol 35 ◽  
pp. 615-623 ◽  
Author(s):  
L. Di Renzo ◽  
F. Sarlo ◽  
L. Petramala ◽  
L. Iacopino ◽  
G. Monteleone ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Body Composition ◽  
Muscle Mass ◽  
Lean Mass ◽  
Skeletal Muscle Mass ◽  
Normal Weight ◽  
Sarcopenic Obesity ◽  
Appendicular Skeletal Muscle ◽  
Skeletal Muscle Mass Index ◽  
Appendicular Skeletal Muscle Mass

Background and Aim. Normal weight obese (NWO) syndrome is characterized by normal body mass index (BMI), but high amount of fat mass and reduced lean mass. We evaluated allelic frequency of the G/A −308 TNF-αpolymorphism and prevalence of sarcopenia in NWO.Methods. We enrolled 120 Italian healthy women, distinguished into 3 groups: normal weight (NW); NWO, and preobese-obese (PreOB/OB) and evaluated anthropometric parameters, body composition by dual X-ray absorptiometry, blood tests, and genotyping of G/A −308 TNF-αpolymorphism.Results. We found a positive association between sarcopenic obesity and −308 TNF-αpolymorphism. All obese women were sarcopenic and were no carrier of mutation (G/G). Among all G/G, NWO showed significant differences in lean mass and total body lean mass (TBLean) with respect to NW and PreOB/OB (P<0.001). Regarding appendicular skeletal muscle mass index values, 4.21% of NW were sarcopenic (50% G/G and 50% G/A); the same percentage was observed in NWO subjects (100% G/G). Moreover, 2.10% of PreOB/OB were sarcopenic and all were G/G.Conclusion. Our study suggests that TNF-αpolymorphism contributes to sarcopenic obesity susceptibility, in association with body composition. This is the first study that shows the importance of TNF-αpolymorphism to determine TBLean variation in NWO syndrome.

scholarly journals THU0610-HPR PREDICTION EQUATION FOR MUSCLE MASS OVERESTIMATES MUSCLE MASS IN PATIENTS WITH RHEUMATOID ARTHRITIS

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 546.2-547
Author(s):  
R. Cavalheiro Do Espírito Santo ◽  
L. Santos ◽  
L. Filippin ◽  
P. Lora ◽  
R. Xavier
Keyword(s):  
Rheumatoid Arthritis ◽  
Skeletal Muscle ◽  
Body Composition ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Rio Grande ◽  
Prediction Equation ◽  
Normal Weight ◽  
Rio Grande Do Sul ◽  
Total Body

Background:Rheumatoid Arthritis (RA) is a chronic, progressive, inflammatory autoimmune disease characterized by systemic manifestations. Often is observed in RA patients changes in body composition, such as reduced muscle mass (sarcopenia) with stable or increased fat mass (FM) [1]. Total-body skeletal muscle mass (SMM), specifically appendicular skeletal muscle, is a key diagnostic feature for the assessment of geriatric syndromes associated with skeletal muscle wasting, such as sarcopenia [2]. Estimation of SMM can be accomplished by a variety of methods, but the majority that considered the gold standard for this purpose are high cost. Due high cost, this methods are unfeasible in population studies and increases the difficulty of use in different clinical contexts. Predictive equations have been developed for estimation of whole-body skeletal muscle mass on the basis of anthropometric data, which can be collected in a more affordable manner, in an attempt to make SMM calculation easier and enable its use in epidemiological research and in clinical settings [3]. However, these equations were not developed for RA populations.Objectives:To compare the anthropometric equation that estimate SMM with body composition measurements derived from DXA in RA patients.Methods:Ninety patients diagnosed with RA according to ACR/EULAR criteria were recruited. Body composition was assessed by total body dual-energy x-ray absorptiometry (DXA) for measurement of appendicular lean mass index (ALMI, kg/m2). The prediction equation for muscle mass proposed by Lee et al (variables included: body weight, height, age, sex and race) was used to generate estimates of SMM, stratified by BMI. Frequency analysis, independent student’s t test and intraclass correlation coefficients (ICC) were performed. Statistical significance was considered as p<0.05Results:Of the 90 patients analyzed, most were women (86.7%; 78/91), with mean age of 56.5±7.3 and median disease duration time of 8.5 (3-18) years. The mean of BMI was 27.39±5.14. Thirty (33.3%) RA patients had normal weight, forty patients (44.4%) were overweight and twenty patients (22.2%) were obese. In normal weight patients, just like overweight and obese patients, the estimates of SMM obtained by Lee equation were higher than those obtained by DXA measurements(Obese: Lee 10.66±1.19 vs DXA 7.10±0.73; Overweight: Lee 8.63±0.99 vs DXA 6.57±0.82; Normal weight: Lee 7.14±0.85vs DXA 6.03±0.71; p<0.05). The Lee equation estimates showed ICC of 0.78 (0.66 - 0.85) with DXA measurements. When stratified by BMI, Lee equation showed ICC of 0.87 (0.72 - 0.94) for normal weight, 0.83 (0.68 - 0.91) for overweight and 0.77 (0.42 - 0.90) for obese with DXA.Conclusion:The muscle mass index by Lee equation overestimates the muscle mass in overweight or obese RA patients compared to DXA. Thus, sarcopenic RA patients may be wrongly classified as normal by the equation. This is probably related to the obese cachexia that these patients often present. More studies are necessary to analysis to better prediction equations for muscle mass in RA patients.References:[1]Smolen JS et al. Nat Rev Dis Prim. 2018;4:18001; [2] Kim J et al. Am J Clin Nutr 2002; 76: 378–83.; [3] Lee RC et al. Am J Clin Nutr 2000;72:796-803.Acknowledgments:We thank the Coordination for the Improvement of Higher Level Personnel (Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—CAPES) institution, the Foundation for Research Support of the Rio Grande do Sul State (Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul—FAPERGS), the Research and Events Incentive Fund (Fundo de Incentivo à Pesquisa e Eventos—FIPE) of HCPA and Technological Development (Conselho Nacional de Desenvolvimento Científico e Tecnológico—CNPq).Disclosure of Interests:Rafaela Cavalheiro do Espírito Santo: None declared, Leonardo Santos: None declared, Lidiane Filippin: None declared, Priscila Lora: None declared, Ricardo Xavier Consultant of: AbbVie, Pfizer, Novartis, Janssen, Eli Lilly, Roche

Somatotype, Body Composition and Explosive Power of Athlete and Non-Athlete

2014 ◽  
Vol 5 (1) ◽  
pp. 26-34
Author(s):  
Saha Sukanta
Keyword(s):  
College Students ◽  
Skeletal Muscle ◽  
Body Composition ◽  
Body Weight ◽  
Lean Body Mass ◽  
Muscle Mass ◽  
Body Mass ◽  
Body Fat ◽  
Skeletal Muscle Mass ◽  
Explosive Power

Abstract The aim of this study was to identify the effect of somatotype and body composition variables on leg explosive power of college level men students. The sample consisted of 500 young college students, divided into two groups: athletes (N= 250) undergoing Bachelor of Physical Education course whose mean age 23.86 ± 0.36 years; and non-athletes (N= 250) college students who do not take part regular physical activities and mean age 22.16 ± 0.88 years. The somatotype was assessed using the Heath & Carter method. Assessing body composition of the subject various anthropometric measurements were taken. Sargent vertical jump test was used to measure leg explosive power. The measures were compared between the two groups using the Student t-test for independent samples. The two groups differed significantly (p≤0.01) in terms of body weight, % body fat, lean body mass, % skeletal muscle mass and somatotype. The findings of the present study showing that athlete have higher mean values in leg explosive power (p≤0.01) than non-athlete. The leg explosive power was positively significantly (p≤0.01) correlated with % skeletal muscle mass, lean body mass, mesomorphy and ectomorphy components of somatotype; on the other hand body weight, height, % body fat, body surface area and endomorphy component of somatotype significantly (p≤0.01) negatively correlated. In conclusion, somatotype and body composition variables are important factors in determining leg explosive power.

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.

Body composition as a predictor of sunitinib toxicity in patients with renal cell carcinoma.

2013 ◽  
Vol 31 (15_suppl) ◽  
pp. e15566-e15566
Author(s):  
Samantha Cushen ◽  
Aoife M Ryan ◽  
MinYuen Teo ◽  
Peter MacEneaney ◽  
Patrick McLaughlin ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Body Composition ◽  
Muscle Mass ◽  
Renal Cell ◽  
Skeletal Muscle Mass ◽  
Cell Cancer ◽  
Drug Dose ◽  
Fat Free Mass ◽  
Cross Sectional ◽  
Overweight Group

e15566 Background: Sunitinib is a standard first-line option for metastatic renal cell cancer (mRCC). Identification of biomarkers associated with outcome or toxicity is a challenge. Body composition is a prognostic factor in cancer and sarcopenia is associated with treatment toxicity and survival. We investigated if body composition by CT scan predicted dose limiting toxicity (DLT) from sunitinib in mRCC. Methods: Patients (pts) with mRCC receiving sunitinib 50mg as 1stline therapy between 2007-2012 were included. Ethical approval was obtained and prospectively maintained databases analysed. Skeletal muscle cross-sectional area at L3 was measured by CT. Sarcopenia was defined using published cut offs. Toxicity was assessed after 4 cycles of drug (CTCAE, v4.0). Results: 55 pts (43 male), mean age 64yrs (±10.6) were included. 67% were overweight/obese (BMI>25kg/m2). Sarcopenia was present in 33% (56% of normal BMI, 44% overweight group). Overall 40 pts (73%) experienced DLT (51% M, 100% F, p<0.016). DLT occurred in <6 months in 53% (44% M vs 83% F, p<0.016) and these pts were older (mean 68 yrs vs 60 yrs, p<0.01), had lower skeletal muscle mass (51.8 cm2/m2 vs 59.4 cm2/m2, p<0.012), and fat free mass (FFM) (51.4kg vs 57.7kg, p<0.03), and received higher drug dose in mg/kg FFM (1.01 vs 0.89, p<0.02). Common toxicities were GI (65%) and fatigue (47%). Of pts <25th percentile skeletal muscle mass 92% experienced DLT, higher than pts >75th percentile (p<0.05). Pts <25th percentile had an average of 5 toxicities vs 2 in those >75th percentile (p<0.003). All toxicities were more common in muscle wasted patients (p<0.05). 77% (n=10) of pts receiving a drug dose >75th percentile (1.105mg/FFM) experienced DLT in <6 months vs 44% (n=17) receiving a dose <75thpercentile (<1.099mg/FFM; p<0.037). Conclusions: Sarcopenia is prevalent in patients with mRCC, is easily measured, is an occult condition in pts with normal/high BMI, and is a significant predictor of DLT in pts receiving 1st line sunitinib. Our results highlight the potential use of baseline body composition to predict toxicity. The role of sarcopenia in targeted therapy is evolving and its potential to predict toxicity should be further studied.

Sign in / Sign up

Export Citation Format

Share Document