Bioelectrical Impedance Analysis in Critical Care

Author(s):  
P. Formenti ◽  
L. Bolgiaghi ◽  
D. Chiumello
2021 ◽  
Vol 42 (Supplement_1) ◽  
pp. S111-S112
Author(s):  
Justin Dang ◽  
Matthew E Lin ◽  
Samantha Huang ◽  
Ian F Hulsebos ◽  
Haig A Yenikomshian ◽  
...  

Abstract Introduction Bioelectrical impedance analysis (BIA) is a simple, noninvasive method of assessing body composition. BIA operates by sending a low-voltage electric current through the body and measuring the impedance to that current. Parameters obtained from BIA have been used to investigate a range of variables such as nutrition and hydration status in a variety of patient populations. Phase angle is also a unique parameter that is thought to reflect cellular health. BIA parameters can undergo further analysis by bioelectrical impedance vector analysis (BIVA) which can provide information about hydration status. Burn and critical care patients pose a unique challenge because they are particularly sensitive to fluid shifts and metabolic derangements which are associated with poorer outcomes. The utility of BIA and BIVA in this patient population has not been well studied. Thus, we have conducted a systematic review and meta-analysis of the ability of BIVA and BIA parameters to assess cellular health and hydration status in critically ill adults and whether they can be correlated with outcomes. Methods A search was performed on PubMed and Google Scholar in accordance with PRISMA guidelines between June 2020-August 2020 utilizing the keywords: bioelectrical impedance analysis, critical care, critical, body composition, phase angle, water, fluid. Inclusion criteria were articles investigating the relationship between BIA, BIVA and outcomes with regards to phase angle, hydration, and fluid status in critically ill adults. Reviews, non-English articles, and studies involving pediatric patients were excluded. A meta-analysis was conducted on the correlation between mean phase angle and mortality. Results The final analysis included 21 articles; 4 articles were included in the meta-analysis. Statistically significant correlations were found between phase angle and mortality in 9/13 articles, hospital length of stay in 4/7 articles, ICU length of stay in 5/7 articles, and mechanical ventilation duration in 1/4 articles. For meta-analysis, mean phase angle in survivors and non-survivors was 4.5 and 3.9 respectively, and this difference was statistically significant (Figure 1, p< 0.01). Significant correlations were found between ECW/TBW and mortality in 4/7 articles, and BIVA derived hydration status and mortality in 6/7 articles. Conclusions BIA and BIVA may be used as a prognostic indicator for outcomes in critical care patients. Further investigations are needed to explore this relationship in the burn patient population.


2021 ◽  
Vol 42 (Supplement_1) ◽  
pp. S116-S116
Author(s):  
Justin Dang ◽  
Matthew E Lin ◽  
Samantha Huang ◽  
Ian F Hulsebos ◽  
Haig A Yenikomshian ◽  
...  

Abstract Introduction Nutritional support is an essential component of caring for burn patients. Burns can induce a hypermetabolic state greater than twice the normal metabolic rate which can lead to higher rates of lean tissue mass breakdown. Despite its importance, there is no clear gold standard for monitoring nutritional status in the burn and critical care population. Many current methods of assessing body composition can be costly, labor-intensive, and inaccurate. Bioelectrical impedance analysis (BIA) is a promising new technology for assessing body composition that functions by sending a low-voltage current through the body and measuring the impedance to that current. Parameters derived from BIA have been demonstrated to reflect cellular health and correlate with nutritional status. The use of BIA to assess nutritional status in the critical care and burn population has not been well investigated. Thus, we have conducted a systematic review of the use of BIA to assess nutritional status in critically ill adults. Methods A search was conducted on Pubmed and Google Scholar in accordance with PRISMA guidelines between June 2020-August 2020 utilizing the keywords: bioelectrical impedance analysis, critical care, critical, nutrition, body composition, lean body mass, phase angle, water, fluid. Inclusion criteria were articles investigating the relationship between BIA and nutritional status in critically ill adults. Reviews, non-English articles, and studies involving pediatric patients were excluded. Results Our final study included 14 articles. BIA measured muscle mass was compared to a CT scan in two studies, with both reporting a statistically significant correlation. One article compared the ability of BIA and ultrasound to assess muscle mass, and this relationship was statistically significant. BIA derived phase angle was compared to NUTRIC and Subjective Global Assessment scores in four articles with all four reporting significant correlations. BIA was also compared to biochemical markers of nutrition such as albumin and two of three articles found significant correlations. One article compared BIA with gas exchange measured by indirect calorimetry and found that BIA could accurately assess body cell mass. No articles were found comparing BIA with other common nutritional markers such as prealbumin or nitrogen balance. Conclusions BIA shows promise as a method of assessing body composition and nutritional status in the critically ill patient population.


2021 ◽  
Vol 6 (4) ◽  
pp. S52
Author(s):  
D. BASNAYAKE ◽  
A. Nayanamali ◽  
H. Amarathunga ◽  
N. Erandika ◽  
J. Pathiraja ◽  
...  

1999 ◽  
Vol 19 (8) ◽  
pp. 1179-1188 ◽  
Author(s):  
Sufia Islam ◽  
Iqbal Kabir ◽  
Mohammad A. Wahed ◽  
Michael I. Goran ◽  
Dilip Mahalanabis ◽  
...  

2021 ◽  
pp. 1-10
Author(s):  
Ryo Miyachi ◽  
Nana Koike ◽  
Suzu Kodama ◽  
Junya Miyazaki

BACKGROUND: Although trunk muscles are involved in many important functions, evaluating trunk muscle strength is not an easy task. If trunk muscle mass and thickness could be used as indicators of trunk muscle strength, the burden of measurement would be reduced, but the relationship between trunk muscle strength and trunk muscle mass and thickness has not been clarified. OBJECTIVE: The purpose of this study was to clarify the relationship between trunk muscle strength and trunk muscle mass by bioelectrical impedance analysis and trunk muscle thickness by ultrasound imaging in healthy adults. METHODS: One hundred and twenty-one healthy university students were included in this study. Trunk flexion/extension muscle strength and trunk muscle mass by bioelectrical impedance analysis, and trunk muscle thickness by ultrasound imaging were measured. RESULTS: Both trunk flexion strength and trunk extension strength were significantly correlated with trunk muscle mass and oblique and rectus abdominis muscle thickness. Multiple regression analysis showed that trunk extension muscle strength had an independent relationship with trunk muscle mass. CONCLUSIONS: This study demonstrated that trunk muscle mass or trunk muscle thickness can be used as an alternative means for evaluating trunk muscle strength, making the evaluation of trunk muscles less burdensome.


2021 ◽  
Author(s):  
David J. Hanna ◽  
Scott T. Jamieson ◽  
Christine S. Lee ◽  
Christopher A. Pluskota ◽  
Nicole J. Bressler ◽  
...  

1999 ◽  
Vol 96 (6) ◽  
pp. 647-657 ◽  
Author(s):  
N. J. FULLER ◽  
C. R. HARDINGHAM ◽  
M. GRAVES ◽  
N. SCREATON ◽  
A. K. DIXON ◽  
...  

Magnetic resonance imaging (MRI) was used to evaluate and compare with anthropometry a fundamental bioelectrical impedance analysis (BIA) method for predicting muscle and adipose tissue composition in the lower limb. Healthy volunteers (eight men and eight women), aged 41 to 62 years, with mean (S.D.) body mass indices of 28.6 (5.4) kg/m2 and 25.1 (5.4) kg/m2 respectively, were subjected to MRI leg scans, from which 20-cm sections of thigh and 10-cm sections of lower leg (calf) were analysed for muscle and adipose tissue content, using specifically developed software. Muscle and adipose tissue were also predicted from anthropometric measurements of circumferences and skinfold thicknesses, and by use of fundamental BIA equations involving section impedance at 50 kHz and tissue-specific resistivities. Anthropometric assessments of circumferences, cross-sectional areas and volumes for total constituent tissues matched closely MRI estimates. Muscle volume was substantially overestimated (bias: thigh, -40%; calf, -18%) and adipose tissue underestimated (bias: thigh, 43%; calf, 8%) by anthropometry, in contrast to generally better predictions by the fundamental BIA approach for muscle (bias: thigh, -12%; calf, 5%) and adipose tissue (bias: thigh, 17%; calf, -28%). However, both methods demonstrated considerable individual variability (95% limits of agreement 20–77%). In general, there was similar reproducibility for anthropometric and fundamental BIA methods in the thigh (inter-observer residual coefficient of variation for muscle 3.5% versus 3.8%), but the latter was better in the calf (inter-observer residual coefficient of variation for muscle 8.2% versus 4.5%). This study suggests that the fundamental BIA method has advantages over anthropometry for measuring lower limb tissue composition in healthy individuals.


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