Agreement between muscle mass assessments by computed tomography and calf circumference in patients with cancer: A cross-sectional study.

BACKGROUND & AIMS: Cancer influences body composition, including a loss of muscle mass (MM), associated with worse outcomes. The study aimed to evaluate the agreement between MM estimated by calf circumference (CC) and computed tomography (CT) image as a reference method. METHODS: A cross-sectional study including patients (>20 years) diagnosed with cancer attending a reference center of oncology. Spearman's correlation was performed to verify the correlation between CC and MM by CT, including skeletal muscle area - SMA and skeletal muscle index - SMI. ROC curves, Kappa coefficient, sensitivity, specificity, positive and negative predictive values were obtained. RESULTS: The study included 219 patients, age 62.9 ± 13.1 years (mean ± standard deviation). Low CC was observed in 43.8% of the patients, and 29.2% had low SMI. CC positively correlated with SMA (rho = 0.333) and SMI (rho = 0.329), and fair agreements (K = 0.268) were observed between CC and SMI, with higher and significant values for males (K = 0.332) and patients below 60 years (K = 0.419). The area under the curve (AUC) for low CC to identifying low SMI was equal to 0.685 (CI 95% 0.606-0.765). Low CC presented fair agreement to identify low SMI in the sample; however, the negative predictive value was almost 80% for all analyses. CONCLUSIONS: Low CC is not a surrogate for low SMI in patients with cancer, but it could be an alternative, non-invasive, easy-to-perform method to pre-screen patients with cancer with adequate SMI.

Sedentary Behavior and Physical Activity of Schoolchildren from a Low-income Region in Brazil: Associations with Maternal Variables / Comportamento Sedentário e Atividade Física de Escolares de uma Região de Baixa Renda no Brasil: Associações com Variáveis Maternas

INTRODUCTION: In the last decade, an increasing number of studies investigated markers of Sedentary Behavior (SB) and Physical Activity (PA) in school-age children since they lead to nutritional status changes in this groupOBJECTIVE: To analyze associations between maternal factors and SB and PA of schoolchildrenMETHODS: This is a cross-sectional study involving 410 mothers of children enrolled between the first and the fifth year in municipal schools of Santa Cruz, RN, Brazil. By applying questionnaires, socioeconomic variables of the family, maternal data, and habits related to SB and PA on weekdays and weekends were investigated. Pearson's chi-square test and Fisher's exact test were used to test associationsRESULTS: It was observed that income below one minimum wage and less maternal education were associated with greater active transportation among children (69.3%, p = 0.012 and 68.4%, p = 0.022, respectively). Children from low-income families (65.4%, p = 0.016) and who had six and seven siblings (8.2%, p = 0.023 and 7.6%, p = 0.037, respectively) presented lower SB at the weekend. Low level of maternal education was associated with reduced PA during the week (70.8%, p = 0.024CONCLUSION: Socioeconomic (i.e., family income and number of siblings) and maternal factors (i.e., level of education) are important indicators for time spent on sedentary behavior and physical activity of schoolchildren

INTRODUÇÃO: Na última década, um número crescente de estudos tem se preocupado em investigar marcadores de Comportamento Sedentário (CS) e Atividade Física (AF) em crianças na idade escolar, por serem reconhecidos como causadores de alterações do estado nutricional nesta faixa etáriaOBJETIVO: Analisar os fatores associados maternos sobre o CS e AF de escolaresMÉTODO: Trata-se de uma pesquisa com delineamento transversal, envolvendo 410 mães de crianças matriculadas entre o primeiro e quinto ano nas escolas municipais de Santa Cruz, RN, Brasil. Por meio da aplicação de questionários, foram investigadas variáveis socioeconômicas da família, dados maternos e hábitos relacionados ao CS e AF dos escolares, nos dias da semana e no final de semana. Para testar associações foi utilizado o teste Qui-quadrado de Pearson e Teste Exato de FisherRESULTADOS: Foi observado que uma renda inferior a um salário mínimo e menor escolaridade materna foram associados com maior deslocamento ativo das crianças (69,3%, p = 0,012 e 68,4% p = 0,022, respectivamente). As crianças de famílias com baixa renda (65,4%, p = 0,016) e que tinham seis e sete irmãos (8,2%, p = 0,023 e 7,6%, p = 0,037, respectivamente) apresentam menor CS no final de semana. Um menor grau de escolaridade materna foi associado com uma menor prática de AF durante a semana (70,8%, p = 0,024CONCLUSÃO: Conclui-se que os fatores socioeconômicos (i.e., renda familiar e número de irmãos) e maternos (i.e., nível de escolaridade) são importantes indicadores para o tempo dispendido em comportamento sedentário e atividade física de escolares

Low calf circumference is an independent predictor of mortality in cancer patients: A prospective cohort study.

OBJECTIVE: Loss of muscle mass is associated with worse outcomes in patients with cancer. The objective of this study was to evaluate the prognostic value of calf circumference (CC) and skeletal muscle index from computed tomography (CT) to predict mortality in patients with cancer. METHODS: A single-center prospective study was conducted with patients aged ≥20 y attending a reference center of oncology and who had recent abdominal CT images. Data were collected through a semistructured form and patients' records and included sociodemographic data (sex, age and ethnicity), clinical data (primary site and staging of tumor and treatments performed), anthropometric variables (body mass index and CC), and outcome (death). Low CC for men was considered to be ≤ 34 cm and for women ≤ 33 cm. Muscle mass was assessed by CT images at the level of L3. The Cox proportional hazard model adjusted for age, sex, and staging of disease was used. RESULTS: A total of 250 patients were evaluated, 52.8% female, with a median age of 63 y (interquartile ratio: 55-73). Normal body mass index was identified in 44.4%; 29.2% had low skeletal muscle index, and 46.4% had low CC. Death by any cause occurred in 16%, and only low CC was a significant predictor of mortality (hazard ratio = 3.01; confidence interval 1.52-5.98; P = 0.002). CONCLUSIONS: Low CC can predict risk of mortality in this cohort of patients. The findings suggest the use of CC as a simple, easy, cost-effective anthropometric measurement to quickly screen patients at risk of death who could benefit from targeted care to improve their prognosis.

Agreement between software programmes of body composition analyses on abdominal computed tomography scans of obese adults

ABSTRACT Objective A large number of studies have used abdominal computed tomography (CT) to quantify body composition, and different software programmes have been used to perform these analyses. Thus, this comparison is important to enable researchers to know the performance of more accessible software. Subjects and methods Fifty-four abdominal CT scans of obese (BMI 30 to 39.9 kg/m2), sedentary adults (24-41 years) patients from a Brazilian single center were selected. Two software programs were compared: Slice-O-Matic (Tomovision, Canada) version 5.0 and OsiriX version 5.8.5. The body composition analysis were segmented using standard Hounsfield unit (HU) (adipose tissue: -190 to +30 and skeletal muscle: -29 to +150) and measured at the mid third lumbar vertebra (L3) level on a slice showing both transversal processes. Bland-Altman limits of agreement analyses were used to assess the level of agreement between Slice-O-Matic and OsiriX. Results A total of fifty-four participants were evaluated, with majority women (69%), mean of age 31.3 (SD 6.5) years and obesity grade I most prevalent (74.1%). The agreement, in Bland-Altman analysis, between Slice-O-Matic and OsiriX analisys for the muscle mass tissue, visceral adipose tissue and subcutaneous adipose tissue were excellent (≥ 0.954) with P-values < 0.001. Conclusion These findings show that Slice-O-Matic and OsiriX softwares agreement in measurements of skeletal muscle and adipose tissue and sarcopenia diagnosis in obese patients, suggesting good applicability in studies with body composition in this population and clinical practice.

Agreement between software programmes of body composition analyses on abdominal computed tomography scans of obese adults.

Objective A large number of studies have used abdominal computed tomography (CT) to quantify body composition, and different software programmes have been used to perform these analyses. Thus, this comparison is important to enable researchers to know the performance of more accessible software. Subjects and methods Fifty-four abdominal CT scans of obese (BMI 30 to 39.9 kg/m2), sedentary adults (24-41 years) patients from a Brazilian single center were selected. Two software programs were compared: Slice-O-Matic (Tomovision, Canada) version 5.0 and OsiriX version 5.8.5. The body composition analysis were segmented using standard Hounsfield unit (HU) (adipose tissue: -190 to +30 and skeletal muscle: -29 to +150) and measured at the mid third lumbar vertebra (L3) level on a slice showing both transversal processes. Bland-Altman limits of agreement analyses were used to assess the level of agreement between Slice-O-Matic and OsiriX. Results A total of fifty-four participants were evaluated, with majority women (69%), mean of age 31.3 (SD 6.5) years and obesity grade I most prevalent (74.1%). The agreement, in Bland-Altman analysis, between Slice-O-Matic and OsiriX analisys for the muscle mass tissue, visceral adipose tissue and subcutaneous adipose tissue were excellent (≥ 0.954) with P-values < 0.001. Conclusion These findings show that Slice-O-Matic and OsiriX softwares agreement in measurements of skeletal muscle and adipose tissue and sarcopenia diagnosis in obese patients, suggesting good applicability in studies with body composition in this population and clinical practice.

Is skeletal muscle radiodensity able to indicate physical function impairment in older adults with gastrointestinal cancer?

BACKGROUND: Worsening nutritional status in older adult cancer patients can lead to sarcopenia, a condition that occurs with low quantity or quality of muscle mass associated with low physical function. However, most of the studies with cancer patients have only analyzed the quantity of muscle mass for diagnostic of sarcopenia, without exploring muscle characteristics and physical function. The purpose of the present study is to explore the associations between muscle mass characteristics and physical function in older adult patients with cancer. METHODS: Gastric older cancer patients were enrolled in a cross-sectional study. Computed tomography images of the abdominal region evaluated skeletal muscle mass using the Slice-O-Matic version 5.0 Software program (Tomovision, Montreal, Canada) to determine the parameters of skeletal muscle index (SMI, muscle quantity) and skeletal muscle radiodensity (SMD). The physical function was evaluated through handgrip strength and gait speed test. Four musculature phenotypes were identified: normal SMI and SMD, only low SMI, only low SMD, and low SMI and SMD. Linear regression analyses adjusted by age and tumor stage verified the associations between SMI, SMD and physical function. A One-Way Covariance Analysis with Bonferroni post hoc test was used to compare the physical function variables among the four different phenotypes. RESULTS: In total, 167 patients were evaluated (58.1% males; mean age 69.17 ±â€¯7.97 years). The results showed that muscle mass characteristics explains, at least partially, the variability in handgrip strength and gait speed in a direct relationship. The phenotypes with low muscular SMI and/or SMD presented worse performances in handgrip strength and gait speed tests. When stratified for sexes, the significant difference occurs only in males. CONCLUSIONS: Low SMD has negatively impacted physical function in older adults with gastrointestinal cancer, especially in males.