Predictive Accuracy of Calf Circumference Measurements to Detect Decreased Skeletal Muscle Mass and European Society for Clinical Nutrition and Metabolism-Defined Malnutrition in Hospitalized Older Patients

2017 ◽  
Vol 71 (1-2) ◽  
pp. 10-15 ◽  
Author(s):  
Keisuke Maeda ◽  
Takayuki Koga ◽  
Tomomi Nasu ◽  
Miki Takaki ◽  
Junji Akagi
Keyword(s):  
Skeletal Muscle ◽  
Hospital Mortality ◽  
Muscle Mass ◽  
European Society ◽  
Skeletal Muscle Mass ◽  
Predictive Accuracy ◽  
Area Under The Curve ◽  
Clinical Nutrition ◽  
Receiver Operating Curve ◽  
Calf Circumference

Background/Aims: The ability to readily diagnose sarcopenia and malnutrition in a clinical setting is essential. This study is aimed at clarifying the calf circumference (CC) cut-off values for decreased skeletal muscle mass (SMM), according to the Asian Work Group for Sarcopenia's criteria definition of sarcopenia, and those for European Society for Clinical Nutrition and Metabolism-defined malnutrition, in hospitalized Japanese patients. Methods: The study involved 1,164 patients aged ≥65 years. Predictive CC cut-off values were determined using receiver operating curve (ROC) analyses. The predictive validity of the cut-off values was confirmed against in-hospital mortality. Results: There were 654 females and 510 males (mean age, 83.5 ± 8.2 years). Decreased SMM and malnutrition were observed in 80.4 and 32.8% of all patients, respectively. ROC analyses identified CCs of ≤29 cm (female, area under the curve [AUC] 0.791) and ≤30 cm (male, AUC 0.832) as cut-off values for decreased SMM, and CCs of ≤26 cm (female, AUC 0.798) and ≤28 cm (male, AUC 0.837) for malnutrition. CC cut-off values for SMM and malnutrition were independently correlated with in-hospital mortality. Conclusions: The study determined appropriate cut-off values for CC to identify decreased SMM and malnutrition according to the relevant guidelines.

scholarly journals The association between low skeletal muscle mass and delirium: results from the nationwide multi-centre Italian Delirium Day 2017

2021 ◽  
Author(s):  
Alberto Zucchelli ◽  
F. Manzoni ◽  
A. Morandi ◽  
S. Di Santo ◽  
E. Rossi ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Area Under The Curve ◽  
Calf Circumference ◽  
Discriminative Ability ◽  
Cross Sectional ◽  
Logistic Regression Models ◽  
Diagnosis Of Dementia ◽  
Medical Wards

Abstract Introduction Delirium and sarcopenia are common, although underdiagnosed, geriatric syndromes. Several pathological mechanisms can link delirium and low skeletal muscle mass, but few studies have investigated their association. We aimed to investigate (1) the association between delirium and low skeletal muscle mass and (2) the possible role of calf circumference mass in finding cases with delirium. Methods The analyses were conducted employing the cross-sectional “Delirium Day” initiative, on patient 65 years and older admitted to acute hospital medical wards, emergency departments, rehabilitation wards, nursing homes and hospices in Italy in 2017. Delirium was diagnosed as a 4 + score at the 4-AT scale. Low skeletal muscle mass was operationally defined as calf circumference ≤ 34 cm in males and ≤ 33 cm in females. Logistic regression models were used to investigate the association between low skeletal muscle mass and delirium. The discriminative ability of calf circumference was evaluated using non-parametric ROC analyses. Results A sample of 1675 patients was analyzed. In total, 73.6% of participants had low skeletal muscle mass and 24.1% exhibited delirium. Low skeletal muscle mass and delirium showed an independent association (OR: 1.50; 95% CI 1.09–2.08). In the subsample of patients without a diagnosis of dementia, the inclusion of calf circumference in a model based on age and sex significantly improved its discriminative accuracy [area under the curve (AUC) 0.69 vs 0.57, p < 0.001]. Discussion and conclusion Low muscle mass is independently associated with delirium. In patients without a previous diagnosis of dementia, calf circumference may help to better identify those who develop delirium.

Comparison of the prevalence of sarcopenia using skeletal muscle mass index and calf circumference applying the European consensus definition in elderly Mexican women

2015 ◽  
Vol 17 (1) ◽  
pp. 161-170 ◽  
Author(s):  
Maria Consuelo Velazquez-Alva ◽  
Maria Esther Irigoyen Camacho ◽  
Irina Lazarevich ◽  
Jaime Delgadillo Velazquez ◽  
Patricia Acosta Dominguez ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Mexican Women ◽  
Calf Circumference ◽  
Consensus Definition ◽  
European Consensus ◽  
Skeletal Muscle Mass Index

New Prediction Equations to Estimate Appendicular Skeletal Muscle Mass Using Calf Circumference: Results From NHANES 1999–2006

2019 ◽  
Vol 43 (8) ◽  
pp. 998-1007 ◽  
Author(s):  
Leonardo Pozza Santos ◽  
Maria Cristina Gonzalez ◽  
Silvana Paiva Orlandi ◽  
Renata Moraes Bielemann ◽  
Thiago G. Barbosa‐Silva ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Calf Circumference ◽  
Prediction Equations ◽  
Appendicular Skeletal Muscle ◽  
Appendicular Skeletal Muscle Mass

scholarly journals Prediction Equations of the Multifrequency Standing and Supine Bioimpedance for Appendicular Skeletal Muscle Mass in Korean Older People

2020 ◽  
Vol 17 (16) ◽  
pp. 5847
Author(s):  
Kwon Chan Jeon ◽  
So-Young Kim ◽  
Fang Lin Jiang ◽  
Sochung Chung ◽  
Jatin P. Ambegaonkar ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Muscle Mass ◽  
Predictive Value ◽  
Skeletal Muscle Mass ◽  
Predictive Accuracy ◽  
Future Research ◽  
Entire Group ◽  
Prediction Equations ◽  
Appendicular Skeletal Muscle ◽  
Appendicular Skeletal Muscle Mass

Bioimpedance analysis (BIA) has been demanded for the assessment of appendicular skeletal muscle mass (ASM) in clinical and epidemiological settings. This study aimed to validate BIA equations for predicting ASM in the standing and supine positions; externally to cross-validate the new and published and built-in BIA equations for group and individual predictive accuracy; and to assess the overall agreement between the measured and predicted ASM index as sarcopenia diagnosis. In total, 199 healthy older adults completed the measurements of multifrequency BIA (InBody770 and InBodyS10) and dual-energy X-ray absorptiometry (DXA). Multiple regression analysis was used to validate the new multifrequency bioelectrical impedance analysis (MF-BIA) prediction equations. Each MF-BIA equation in the standing and supine position developed in the entire group included height2/resistance, sex, and reactance as predictors (R2 = 92.7% and 92.8%, SEE = 1.02 kg and 1.01 kg ASM for the standing and supine MF-BIA). The new MF-BIA equations had a specificity positive predictive value and negative predictive value of 85% or more except for a sensitivity of about 60.0%. The new standing and supine MF-BIA prediction equation are useful for epidemiological and field settings as well as a clinical diagnosis of sarcopenia. Future research is needed to improve the sensitivity of diagnosis of sarcopenia using MF-BIA.

scholarly journals Skeletal muscle mass by bioelectrical impedance analysis and calf circumference for sarcopenia diagnosis

2020 ◽  
Vol 11 (1) ◽  
pp. 57-61
Author(s):  
C. H. González-Correa ◽  
M. C. Pineda-Zuluaga ◽  
F. Marulanda-Mejía
Keyword(s):  
Skeletal Muscle ◽  
Muscle Mass ◽  
Bioelectrical Impedance Analysis ◽  
Skeletal Muscle Mass ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Calf Circumference ◽  
Middle Income ◽  
Middle Income Countries ◽  
Skeletal Mass

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.

Validity of calf circumference for estimating skeletal muscle mass for Asian patients after stroke

Nutrition ◽  
2020 ◽  
pp. 111028
Author(s):  
Shinta Nishioka ◽  
Anna Yamanouchi ◽  
Tatsuya Matsushita ◽  
Emi Nishioka ◽  
Natsumi Mori ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Calf Circumference ◽  
Asian Patients

scholarly journals Normalizing calf circumference to identify low skeletal muscle mass in older women: a cross-sectional study

2021 ◽  
Author(s):  
Pedro Pugliesi Abdalla ◽  
Ana Cláudia Rossini Venturini ◽  
André Pereira dos Santos ◽  
Marcio Tasinafo ◽  
José Augusto Gonçalves Marini ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Older Women ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Cross Sectional Study ◽  
Calf Circumference ◽  
Sectional Study ◽  
Cross Sectional

Validity of calf circumference for estimating skeletal muscle mass for the patients after stroke

2020 ◽  
Vol 40 ◽  
pp. 604-605
Author(s):  
S. Nishioka ◽  
A. Yamanouchi ◽  
T. Matsushita ◽  
E. Nishioka ◽  
N. Mori ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Calf Circumference
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