The relationship between body composition analysis and 8 foot up and go test in young old adults

2016 ◽  
Vol 06 (06) ◽  
Author(s):  
Ektaben Soni
2021 ◽  
Author(s):  
Bora Chae ◽  
Yo Sep Shin ◽  
Seok-In Hong ◽  
Sang Min Kim ◽  
Youn-Jung Kim ◽  
...  

Abstract Background: Bio-electrical impedance analysis (BIA) is a rapid, simple, and noninvasive tool for assessing volume status in various diseases. Body composition analysis using BIA may identify factors associated with poor outcomes in critically ill patients. Little is known, however, about the relationship between the results of body composition analysis in the emergency department (ED) and mortality in septic shock patients.Objectives: This study assessed the association between parameters identified by body composition analysis and mortality in patients with septic shock who underwent protocol-driven resuscitation bundle therapy in the ED.Methods: Data were prospectively collected on adult patients with septic shock who underwent protocol-driven resuscitation bundle therapy between December 2019 and December 2020. Body composition was determined in the ED using BIA with the patient in the supine position. Septic shock was defined by sepsis-3 criteria, and the primary outcome was 30-day mortality. Results: The study included 218 patients, of whom 58 (26.6%) died within 30 days. The mean time from ED admission to the measurement of body composition was 5.4 hours. The average ratio of extracellular water (ECW) to total body water (TBW) was significantly higher in non-survivors than in survivors (0.412 vs. 0.400, p=0.001). The optimal ECW/TBW cutoff for predicting 30-day mortality was 0.40, with mortality rates being significantly higher in patients with ECW/TBW >0.4 than in patients with ECW/TBW≦0.4 (37.8% vs. 17.5%, p=0.001). Multivariate analysis showed that ECW/TBW >0.4 (odds ratio [OR], 2.11; 95% confidence interval [CI], 1.05–4.23, p = 0.036), active cancer (OR, 2.39; 95% CI, 1.06–5.38, p=0.036), prothrombin time (OR, 2.77; 95% CI, 1.29–5.93, p=0.009), and initial lactate level (OR, 1.15; 95% CI, 1.03–1.28, p=0.010) were significantly associated with 30-day mortality.Conclusions: The ECW/TBW>0.40 is the only body composition parameter associated with 30-day mortality in patients with septic shock.


2015 ◽  
Vol 75 (2) ◽  
pp. 181-187 ◽  
Author(s):  
Manfred J. Müller ◽  
Wiebke Braun ◽  
Maryam Pourhassan ◽  
Corinna Geisler ◽  
Anja Bosy-Westphal

The aim of this review is to extend present concepts of body composition and to integrate it into physiology. In vivo body composition analysis (BCA) has a sound theoretical and methodological basis. Present methods used for BCA are reliable and valid. Individual data on body components, organs and tissues are included into different models, e.g. a 2-, 3-, 4- or multi-component model. Today the so-called 4-compartment model as well as whole body MRI (or computed tomography) scans are considered as gold standards of BCA. In practice the use of the appropriate method depends on the question of interest and the accuracy needed to address it. Body composition data are descriptive and used for normative analyses (e.g. generating normal values, centiles and cut offs). Advanced models of BCA go beyond description and normative approaches. The concept of functional body composition (FBC) takes into account the relationships between individual body components, organs and tissues and related metabolic and physical functions. FBC can be further extended to the model of healthy body composition (HBC) based on horizontal (i.e. structural) and vertical (e.g. metabolism and its neuroendocrine control) relationships between individual components as well as between component and body functions using mathematical modelling with a hierarchical multi-level multi-scale approach at the software level. HBC integrates into whole body systems of cardiovascular, respiratory, hepatic and renal functions. To conclude BCA is a prerequisite for detailed phenotyping of individuals providing a sound basis for in depth biomedical research and clinical decision making.


Alcohol ◽  
2000 ◽  
Vol 22 (3) ◽  
pp. 147-157 ◽  
Author(s):  
Francisco Santolaria ◽  
Emilio González-Reimers ◽  
José Luis Pérez-Manzano ◽  
Antonio Milena ◽  
Marı́a Angeles Gómez-Rodrı́guez ◽  
...  

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