scholarly journals Bioelectrical Impedance Analysis and Mid-Upper Arm Muscle Circumference Can Be Used to Detect Low Muscle Mass in Clinical Practice

Nutrients ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 2350
Author(s):  
Dorienke Gort-van Dijk ◽  
Linda B.M. Weerink ◽  
Milos Milovanovic ◽  
Jan-Willem Haveman ◽  
Patrick H.J. Hemmer ◽  
...  

Identification of low muscle mass becomes increasingly relevant due to its prognostic value in cancer patients. In clinical practice, mid-upper arm muscle circumference (MAMC) and bioelectrical impedance analysis (BIA) are often used to assess muscle mass. For muscle-mass assessment, computed tomography (CT) is considered as reference standard. We investigated concordance between CT, BIA, and MAMC, diagnostic accuracy of MAMC, and BIA to detect low muscle mass and their relation with the clinical outcome malnutrition provided with the Patient-Generated Subjective Global Assessment Short Form (PG-SGA SF). This cross-sectional study included adult patients with advanced esophageal and gastrointestinal cancer. BIA, MAMC, and PG-SGA-SF were performed. Routine CT-scans were used to quantify psoas muscle index (PMI) and skeletal muscle area. Good concordance was found between CTPMI and both BIAFFMI (fat free mass index) (ICC 0.73), and BIAASMI (appendicular skeletal muscle index) (ICC 0.69) but not with MAMC (ICC 0.37). BIAFFMI (94%), BIAASMI (86%), and MAMC (86%) showed high specificity but low sensitivity. PG-SGA-SF modestly correlated with all muscle-mass measures (ranging from −0.17 to −0.43). Of all patients with low muscle mass, 62% were also classified with a PG-SGA-SF score of ≥ 4 points. Although CT remains the first choice, since both BIA and MAMC are easy to perform by dieticians, they have the potential to be used to detect low muscle mass in clinical practice.

Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 4851-4851 ◽  
Author(s):  
Takahiro Kamiya ◽  
Kota Mizuno ◽  
Shinji Ogura ◽  
Chisako Ito ◽  
Yuriko Fujita ◽  
...  

Abstract [Introduction] Sarcopenia is characterized by age-related decline of skeletal muscle plus low muscle strength and/or physical performance. Previous studies have confirmed the association of sarcopenia and adverse health outcomes, such as falls, disability, hospital admission, long term care placement, poorer quality of life, and mortality, which denotes the importance of sarcopenia in the health care for older people. Population-based studies reported that the prevalence of sarcopenia in Japanese healthy adults aged≥60 years was 8.5% among men and 8.0% among women. Sarcopenia was recently identified as a poor prognostic factor in patients with solid tumors. In cancer patients, sarcopenia is associated with treatment failure, chemotherapy toxicity, and a shorter time to tumor progression related to survival. In contrast to solid tumors, the clinical relevance of sarcopenia in hematologic malignancies is still unknown. The present study investigated the prevalence of sarcopenia based on the criteria of the Asian Working Group for Sarcopenia (AWGS) in elderly patients with hematologic malignancies. [Patients and Methods] We prospectively analyzed 56 elderly patients aged≥60 years with hematologic malignancies diagnosed at our institution between 2015 and 2018. Appendicular skeletal muscle mass (ASM) was measured at diagnosis by using multifrequency bioelectrical impedance analysis (BIA) (InBody 720). BIA is suitable for body composition monitoring in elderly patients as a fast, noninvasive, and convenient method. Skeletal muscle index (SMI) was defined as the ratio of ASM divided by height in square centimeters. We also evaluated physical function by using short physical performance buttery (SPPB). Sarcopenia was defined according to the AWGS algorithm, in which the patient has low muscle mass, and low muscle strength or low physical performance. Low muscle mass was defined as a skeletal muscle index (SMI: ASM/height2) of <7.0kg/m2 in men and <5.7kg/m2 in women. Pre-sarcopenia was defined as having only low muscle mass. Low muscle strength was defined as a handgrip strength of <26kg in men and <18kg in women; and low physical performance, as a gait speed of <0.8m/sec. The study protocol was approved by the Institutional Review Board of Yokohama Municipal Citizen's Hospital, and it was carried out in accordance with the Declaration of Helsinki. [Results] Median age at diagnosis was 77 years (60-93 years), with 34 males and 22 females. The diagnosis included non-Hodgkin lymphoma (NHL, n=36), multiple myeloma (MM, n=9), myelodysplastic syndrome (MDS, n=10), and acute myeloid leukemia (AML, n=1). The prevalence of low muscle mass (pre-sarcopenia) was 41% (14/34) in men and 77% (17/22) in women. The prevalence of low muscle strength was 35% (12/34) in men and 41% (9/22) in women. The prevalence of low physical performance status (Gait speed:<0.8m/sec) was 6% (2/34) in men and 9% (2/22) in women. The prevalence of sarcopenia based on a diagnosis of low muscle mass, low muscle strength, and low physical performance was 24% (8/34) in men and (8/22) 36% in women. The prevalence of low SPPB score (<10) was 9% (3/34) in men and 18% (4/22) in women. Among 36 NHL patients, the diagnosis included DLBCL (n=15), FL (n=10), MALT (n=3), SMZBCL (n=3), MCL (n=2), and others. The prevalence of sarcopenia was 25% (5/20) in men and 50% (8/16) in women. The mean age was 83 years in the sarcopenic group (n=13, 36%) and 73 years in the non-sarcopenic group (n=23, 64%) (p=0.0001). Sarcopenic patients displayed a similar level of serum albumin, LDH, sIL2-R, and BMI when compared with patients who were not sarcopenic. However, sarcopenic patients displayed significantly lower levels of serum dehydroepiandrosterone-sulfate (DHEA-S) and a higher CCI score than patients who were not sarcopenic. Sarcopenic patients failed to complete the treatment planned as compared with non-sarcopenic patients (p=0.001). [Conclusion] These results demonstrated that the prevalence of sarcopenia in elderly patients with hematologic malignancies is higher than that in the Japanese general elderly population. In particular, the prevalence of sarcopenia in female NHL patients is higher than that in male NHL patients. Several factors such as age, serum DHEA-S or comorbidities may affect the incidence of sarcopenia. Since our results are based on a small-sized analysis, further large prospective studies are warranted to verify this conclusion. Disclosures No relevant conflicts of interest to declare.


2020 ◽  
Vol 11 (1) ◽  
pp. 57-61
Author(s):  
C. H. González-Correa ◽  
M. C. Pineda-Zuluaga ◽  
F. Marulanda-Mejía

AbstractSkeletal muscle mass (SMM) plays an important role in health and physical performance. Its estimation is critical for the early detection of sarcopenia, a disease with high prevalence and high health costs. While multiple methods exist for estimating this body component, anthropometry and bioelectrical impedance analysis (BIA) are the most widely available in low- to middle-income countries. This study aimed to determine the correlation between muscle mass, estimated by anthropometry through measurement of calf circumference (CC) and skeletal mass index (SMI) by BIA. This was a cross-sectional and observational study that included 213 functional adults over 65 years of age living in the community. Measurements of height, weight, CC, and SMM estimated by BIA were made after the informed consent was signed. 124 women mean age 69.6 ± 3.1 years and 86 men mean age 69.5 ± 2.9 years had the complete data and were included in the analysis. A significant positive moderate correlation among CC and SMI measured by BIA was found (Pearson r= 0.57 and 0.60 for women and men respectively (p=0.0001)). A moderate significant correlation was found between the estimation of SMM by CC and by BIA. This suggests that CC could be used as a marker of sarcopenia for older adults in settings in lower-middle-income countries where no other methods of diagnosing muscle mass are available. Although the CC is not the unique parameter to the diagnosis of sarcopenia, it could be a useful procedure in the clinic to identify patients at risk of sarcopenia.


2018 ◽  
Author(s):  
Corinna Geisler ◽  
Mark Hübers ◽  
Manfred Müller

The two aims of this study were to evaluate (i) the prevalence of malnutrition based on age, sex and BMI specific PA and (ii) to determinate what specific body composition characteristics (skeletal muscle mass and adipose tissue) are related to a low PA.


Sign in / Sign up

Export Citation Format

Share Document