Body composition analysis of cachectic rabbits by total body electrical conductivity

1998 ◽  
Vol 32 (3) ◽  
pp. 190-193 ◽  
Author(s):  
Tomoyo Yasui ◽  
Osamu Ishiko ◽  
Toshiyuki Sumi ◽  
Ken‐ichi Honda ◽  
Kouzo Hirai ◽  
...  
Keyword(s):  
Electrical Conductivity ◽  
Body Composition ◽  
Composition Analysis ◽  
Body Composition Analysis ◽  
Total Body

Body Composition Analysis in Septic Shock Patients Receiving Protocol-Driven Resuscitation Bundle Therapy: A Prospective Observational Study

2021 ◽  
Author(s):  
Bora Chae ◽  
Yo Sep Shin ◽  
Seok-In Hong ◽  
Sang Min Kim ◽  
Youn-Jung Kim ◽  
...  
Keyword(s):  
Septic Shock ◽  
Body Composition ◽  
Impedance Analysis ◽  
Composition Analysis ◽  
Body Composition Analysis ◽  
Total Body ◽  
Poor Outcomes ◽  
The Relationship ◽  
Mean Time ◽  
Resuscitation Bundle

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.

scholarly journals Stav antropometrických parametrů a tělesného složení u studentů Vojenského oboru UK FTVS v Praze

2015 ◽  
Vol 9 (2) ◽  
pp. 57-67 ◽  
Author(s):  
Ivana Kinkorová ◽  
Matěj Vrba
Keyword(s):  
Body Composition ◽  
Body Fat ◽  
The Body ◽  
Whole Body ◽  
Composition Analysis ◽  
Extracellular Water ◽  
Body Composition Analysis ◽  
Segmental Analysis ◽  
Total Body ◽  
General Physical

The aim of our study was the measurement of selected anthropometric variables, respectively determining somatotype, body composition analysis of students Military Department (MD) at UK FTVS in Prague and compared to similar studies. The group consisted of 22 probands, men ranging in age from 19–27 years (mean age = 22,9 ± 2,6 years, height = 179,9 ± 6,0 cm, weight = 76,8 ± 7,0 kg, BMI = 23,8 ± 1,5 kg.m–2). In terms of measured average somatotype (1,7 – 7,3 – 2,5), the students MD have very good preconditions for general physical fitness. We used BIA-Tanita MC 980 for the body composition analysis (whole body and segmental analysis). The students MD showed a high proportion of lean body mass (70,5 ± 6,1 kg) and low proportion of fat mass (8,3 ± 3,0 %). The authors emphasize the importance of monitoring and other parameters of body composition, e.g. total body water (TBW), extracellular water (ECW), intracellular water (ICW), segmental analysis of muscle mass and body fat.

Total Body Composition Analysis in a Caucasian Population of Greek Women With Reference to NHANES

2014 ◽  
Vol 17 (3) ◽  
pp. 415
Author(s):  
S. Theodorou ◽  
D.J. Theodorou ◽  
J. Kalef-Ezra ◽  
A. Fotopoulos ◽  
N. Agnantis ◽  
...  
Keyword(s):  
Body Composition ◽  
Caucasian Population ◽  
Composition Analysis ◽  
Body Composition Analysis ◽  
Total Body Composition ◽  
Total Body

scholarly journals Extracellular Water to Total Body Water Ratio in Septic Shock Patients Receiving Protocol-Driven Resuscitation Bundle Therapy

2021 ◽  
Vol 10 (13) ◽  
pp. 2917
Author(s):  
Bora Chae ◽  
Yo Sep Shin ◽  
Seok-In Hong ◽  
Sang Min Kim ◽  
Youn-Jung Kim ◽  
...  
Keyword(s):  
Septic Shock ◽  
Body Composition ◽  
Total Body Water ◽  
Altered Mental Status ◽  
Body Water ◽  
Composition Analysis ◽  
Extracellular Water ◽  
Body Composition Analysis ◽  
Total Body ◽  
Resuscitation Bundle

(1) Bio-electrical impedance analysis (BIA) is a rapid, simple, and noninvasive tool for evaluating the metabolic status and for assessing volume status in critically ill patients. Little is known, however, the prognostic value of body composition analysis in septic shock patients. This study assessed the association between parameters by body composition analysis and mortality in patients with septic shock in the emergency department (ED). (2) Data were prospectively collected on adult patients with septic shock who underwent protocol-driven resuscitation bundle therapy between December 2019 and January 2021. The primary outcome was 30-day mortality. (3) The study included 261 patients, the average ratio of extracellular water (ECW) to total body water (TBW) was significantly higher in non-survivors than in survivors (0.414 vs. 0.401, p < 0.001). Multivariate analysis showed that ECW/TBW ≥ 0.41 (odds ratio (OR), 4.62; 95% confidence interval (CI), 2.31–9.26, p < 0.001), altered mental status (OR, 2.88; 95% CI, 1.28–6.46, p = 0.010), and lactate level (OR, 1.24; 95% CI, 1.12–1.37, p < 0.001) were significantly associated with 30-day mortality in patients with septic shock. (4) ECW/TBW ≥ 0.41 may be associated with 30-day mortality in patients with septic shock receiving protocol-driven resuscitation bundle therapy in the ED.

scholarly journals Application of standards and models in body composition analysis

2015 ◽  
Vol 75 (2) ◽  
pp. 181-187 ◽  
Author(s):  
Manfred J. Müller ◽  
Wiebke Braun ◽  
Maryam Pourhassan ◽  
Corinna Geisler ◽  
Anja Bosy-Westphal
Keyword(s):  
Body Composition ◽  
Clinical Decision Making ◽  
Compartment Model ◽  
Clinical Decision ◽  
Whole Body ◽  
Composition Analysis ◽  
Body Composition Analysis ◽  
Physical Functions ◽  
Body Components

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.

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