Prevalence of low computed tomography–measured skeletal muscle index and handgrip strength in a general medical population

Author(s):  
Amanda Van Jacobs ◽  
Anne Coltman ◽  
Sandra L. Gomez‐Perez ◽  
Benjamin Bienia ◽  
Joy S. Sclamberg ◽  
...  
2020 ◽  
Vol 16 ◽  
pp. 174550652096200
Author(s):  
Tomohiro Yasuda

Objectives: The purpose of this study was to examine the prediction of skeletal muscle mass and maximum muscle strength using simplified morphology evaluation in young Japanese women from the thigh and calf perspective. Methods: A total of 249 Japanese young women (aged 18–25 years) were used for data analyses in this study. Thigh and calf girths were measured using a tape measure at 50% of thigh length and at 30% proximal of calf length, respectively. Muscle thickness was measured using B-mode ultrasound at the anterior and posterior thigh (at 50% of thigh length) and at the posterior lower leg (at 30% proximal of calf length), respectively. The measurements were carried out on the right side of the body while the participants stood with their elbows extended and relaxed. A stepwise multiple regression analysis (method of increasing and decreasing the variables; criterion set at p < 0.05) was performed for skeletal muscle index (defined by appendicular skeletal muscle mass/height2), handgrip strength, or sit-to-stand test and five variable factors (girth (thigh and calf) and muscle thickness (anterior and posterior thigh and posterior calf)). Results: Unlike the sit-to-stand test, skeletal muscle index or handgrip strength was correlated ( p < 0.001) with the girth or muscle thickness for both thigh and calf. Unlike the sit-to-stand test, the prediction equations for skeletal muscle index and handgrip strength estimation showed significant correlations with multiple regression analysis of data obtained from the calf girth and muscle thickness. In both skeletal muscle index and handgrip strength, calf girth was adopted as a Step 1, respectively. Conclusion: Our results indicated that skeletal muscle index and handgrip strength could be evaluated by the simplified morphology methods, especially that for the calf girth measurement, which may be a good indicator of screening/preventing for sarcopenia in healthy Japanese young women.


Cancers ◽  
2020 ◽  
Vol 12 (7) ◽  
pp. 1864
Author(s):  
Jongsoo Lee ◽  
Jee Soo Park ◽  
Ji Eun Heo ◽  
Hyun Kyu Ahn ◽  
Won Sik Jang ◽  
...  

Limited studies have investigated the correlation between body composition and prostate cancer outcomes. We analyzed the effect of muscle mass and quality on castration-resistant prostate cancer (CRPC) outcomes. Skeletal muscle index (SMI) and skeletal muscle attenuation (SMA) were measured for 411 patients at the L3 vertebral level using computed tomography at CRPC diagnosis and were dived to low and high groups at the value of median. Analysis of the skeletal phenotypes and age (<70 and >70 years) was performed to evaluate the effect of SMI and SMA. The median survival rates for patients with low and high SMI were 19 and 24 months (p = 0.015), and those with low and high SMAs were 15 and 26 months (p < 0.001), respectively. In the subgroup analysis by age, SMA was a significant prognosticator in both groups, while SMI was a significant prognosticator only in patients aged >70 years. Patients with low SMA + low SMI had the worst prognosis. Muscle characteristics seems to be a prognosticator in survival of CRPC patients and may be considered in treatment planning.


2021 ◽  
Author(s):  
Nanako Hijikata ◽  
Aiko Ishikawa ◽  
Satoru Matsuda ◽  
Michiyuki Kawakami ◽  
Kaori Muraoka ◽  
...  

Abstract Purpose: In patients with esophageal cancer, skeletal muscle mass has been reported to decrease progressively after surgery and be independently associated with a poor prognosis. The purpose of this study was to investigate perioperative changes in dysphagia, oral intake status, and nutritional status and identify factors related to sarcopenia six months after esophagectomy.Methods: A total of 134 patients who underwent radical resection for thoracic esophageal cancer between March 2016 and July 2019 were analyzed retrospectively. The diagnosis of sarcopenia was made by CT taken six months postoperatively using the cut-off criteria of skeletal muscle index (SMI) <52.4 cm2/m2 for male and SMI <38.5 cm2/m2 for female patients. As factors related to postoperative sarcopenia, dysphagia, oral intake status, nutritional status, and physical function were extracted from the medical records. Multivariate logistic regression analysis was performed to identify perioperative risk factors related to sarcopenia six months after surgery.Results: Of the 134 patients, 34.3% were judged to be unable to start oral intake on swallowing assessment. At discharge, 30.6% received tube feeding with or without oral intake. In the non-oral intake group on swallowing assessment, a significantly higher proportion of patients received tube feeding at discharge (p=0.014). Preoperative BMI, postoperative handgrip strength, and tube feeding at discharge were independent risk factors for sarcopenia six months after esophagectomy in male patients.Conclusions: Oral intake status at discharge is significantly related to postoperative sarcopenia in patients with esophageal cancer. Identifying high-risk groups might allow early detection of malnutrition and provision of appropriate care.


2019 ◽  
Vol 8 (3) ◽  
pp. 322 ◽  
Author(s):  
Min Jo ◽  
Tae Lim ◽  
Mi Jeon ◽  
Hye Lee ◽  
Beom Kim ◽  
...  

Computed tomography (CT) and bioimpedance analysis (BIA) can assess skeletal muscle mass (SMM). Our objective was to identify the predictors of discordance between CT and BIA in assessing SMM. Participants who received a comprehensive medical health check-up between 2010 and 2018 were recruited. The CT and BIA-based diagnostic criteria for low SMM are as follows: Defined CT cutoff values (lumbar skeletal muscle index (LSMI) <1 standard deviation (SD) and means of 46.12 cm2/m2 for men and 34.18 cm2/m2 for women) and defined BIA cutoff values (appendicular skeletal muscle/height2 <7.0 kg/m2 for men and <5.7 kg/m2 for women). A total of 1163 subjects were selected. The crude and body mass index (BMI)-adjusted SMM assessed by CT were significantly associated with those assessed by BIA (correlation coefficient = 0.78 and 0.68, respectively; p < 0.001). The prevalence of low SMM was 15.1% by CT and 16.4% by BIA. Low SMM diagnosed by CT was significantly associated with advanced age, female gender, and lower serum albumin level, whereas low SMM diagnosed by BIA was significantly associated with advanced age, female gender, and lower BMI (all p < 0.05). Upon multivariate analysis, age >65 years, female and BMI <25 kg/m2 had significantly higher risks of discordance than their counterparts (all p < 0.05). We found a significant association between SMM assessed by CT and BIA. SMM assessment using CT and BIA should be interpreted cautiously in older adults (>65 years of age), female and BMI <25 kg/m2.


2020 ◽  
Vol 10 (16) ◽  
pp. 5403
Author(s):  
Yurika Kotoh ◽  
Issei Saeki ◽  
Takahiro Yamasaki ◽  
Ryo Sasaki ◽  
Norikazu Tanabe ◽  
...  

Previous studies have reported prognostic factors for hepatocellular carcinoma (HCC) patients receiving lenvatinib; however, no studies have evaluated the effects of both handgrip strength and skeletal muscle mass on the clinical outcomes. Therefore, this retrospective study investigated the individual effect of handgrip strength, skeletal muscle mass, and sarcopenia on clinical outcomes of 53 HCC patients treated with lenvatinib. Before receiving lenvatinib, handgrip strength and skeletal muscle index (SMI) were measured. Low handgrip strength and muscle depletion were defined as <26 and <18 kg and SMI <42 and SMI <38 cm2/m2 in men and women, respectively. Sarcopenia was defined as having low handgrip strength and muscle depletion. Multivariate analysis identified modified albumin–bilirubin grade 1–2a (p = 0.010), Barcelona Clinic Liver Cancer stage A–B (p = 0.011), and absence of low handgrip strength (p = 0.015) as favorable prognostic factors for survival. Furthermore, sarcopenia was an independent significant prognostic factor for survival. Time to treatment failure was associated with handgrip strength and sarcopenia. Our findings suggest that handgrip strength may be a useful marker of clinical outcomes in HCC patients treated with lenvatinib.


2020 ◽  
Vol 41 (Supplement_1) ◽  
Author(s):  
H Kai ◽  
H Harada ◽  
N Niiyama ◽  
A Katoh

Abstract Background Clinical significance of sarcopenia has been highlighted in patients with cardiovascular disease (CVD). Sarcopenia is generally diagnosed based on the decrease in skeletal muscle index (SMI) and the reduction of either handgrip strength or gait speed. However, SMI is difficult to measure for general physicians or cardiologists, because special, expensive equipment (i.e. bioelectrical impedance assay (BIA) or dual-energy X-ray absorptiometry) is necessary. Purpose The aim of this study was to seek a new, simple index to detect sarcopenia in CVD patients. Methods We retrospectively investigated the association of sarcopenia with physical examination data and circulating biomarkers of nutrition, inflammation, skeletal muscle homeostasis in 132 CVD patients who admitted in our hospital. Sarcopenia was diagnosed according to the Asian Working Group for Sarcopenia (AWGS) guidelines using SMI measurements by BIA method. Results Among the screened biomarkers (e.g. hsCRP and IL-6), serum adiponectin and sialic acid was significantly higher in sarcopenic patients (n = 39) than non-sarcopenic patients (n = 93). On stepwise multivariate regression analysis, adiponectin, sialic acid, sex, age, and body mass index were independent detecting factors for sarcopenia based on AWGS criteria. ROC curve analysis revealed high accuracy for sarcopenia detection of the biomarker-based sarcopenia index (BMI), obtained from the regression formula using the independent factors (Figure). Conclusions: Novel biomarker-based sarcopenia index would be a simple, useful tool for detecting sarcopenia in CVD patients. Abstract 64 Figure. Sarcopenia Detection using BSI


2017 ◽  
Vol 72 (2) ◽  
pp. 288-296 ◽  
Author(s):  
A. van der Werf ◽  
J. A. E. Langius ◽  
M. A. E. de van der Schueren ◽  
S. A. Nurmohamed ◽  
K. A. M. I. van der Pant ◽  
...  

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