Bioelectrical impedance parameters in critically ill children: Importance of reactance and resistance

Azevedo, Zina Maria Almeida de; Moore, Daniella Campelo Batalha Cox; Matos, Flavia Aparecida Alves de; Fonseca, Vânia; Peixoto, Maria Virgínia Marques; Gaspar−Elsas, Maria Ignez C.; Santinoni, Erika; Anjos, Luiz Antônio dos; Ramos, Eloane Gonçalves

doi:10.1016/j.clnu.2013.01.011

Cited by 36 publications

(22 citation statements)

References 24 publications

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“…This pattern may demonstrate that cellular integrity is perturbed in SAM, but is also worse in oedematous SAM. Among children with critical illness, Xc/H was better than R/H in predicting evolution for septic shock and organ dysfunction (16). Of note, there is evidence relating cell membrane abnormality and leakage with nutritional oedema (17).…”

Section: Discussionmentioning

confidence: 99%

Biochemical and anthropometric correlates of bio-electrical impedance parameters in severely malnourished children: A cross-sectional study

et al. 2018

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Section: Discussionmentioning

confidence: 99%

Biochemical and anthropometric correlates of bio-electrical impedance parameters in severely malnourished children: A cross-sectional study

et al. 2018

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“…Shime et al 91 found that the relative changes in BIA reflecting postoperative alterations in body composition provided a quantitative estimation of critical illness in pediatric patients after heart surgery. Azevedo et al 92 found an association between low values of X c /height and R/height on admission with multiple organ failure greater than four organs. Both R/height and X c /height increased between admission and discharge in survivors, whereas among nonsurvivors there was a trend toward a decrease between admission and last measurement before death.…”

Section: Bia In Childrenmentioning

confidence: 98%

Body composition during growth in children: limitations and perspectives of bioelectrical impedance analysis

et al. 2015

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There are a number of differences between the body composition of children and adults. Body composition measurements in children are inherently challenging, because of the rapid growth-related changes in height, weight, fat-free mass (FFM) and fat mass (FM), but they are fundamental for the quality of the clinical follow-up. All body composition measurements for clinical use are 'indirect' methods based on assumptions that do not hold true in all situations or subjects. The clinician must primarily rely on two-compartment models (that is, FM and FFM) for routine determination of body composition of children. Bioelectrical impedance analysis (BIA) is promising as a bedside method, because of its low cost and ease of use. This paper gives an overview of the differences in body composition between adults and children in order to understand and appreciate the difference in body composition during growth. It further discusses the use and limitations of BIA/bioelectrical spectroscopy (BIA/BIS) in children. Single-frequency and multi-frequency BIA equations must be refined to better reflect the body composition of children of specific ethnicities and ages but will require development and cross-validation. In conclusion, recent studies suggest that BIA-derived body composition and phase angle measurements are valuable to assess nutritional status and growth in children, and may be useful to determine baseline measurements at hospital admission, and to monitor progress of nutrition treatment or change in nutritional status during hospitalization.

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“…Low values (Xc/H < 27.7 O/m and R/H < 563.6 O/m) in the BIVA method can be considered as predictors of severity among diseased children, as shown in a study conducted on 332 precarious pediatric patients with multiple organ dysfunction (MODS), acute respiratory distress syndrome (ARDS) and acute lung injury (ALI) [68]. …”

Section: Fundamentals Of Bioimpedance Measurement Techniquesmentioning

confidence: 99%

“…Several studies were conducted using the BIA method on children [68,105] adults [13], and elders [106,107]. In children, the BIA method using the Deurenberg equation [87], underestimates body fat as determined by DXA.…”

Section: Bioimpedance Measurement Biasing Factorsmentioning

confidence: 99%

The Theory and Fundamentals of Bioimpedance Analysis in Clinical Status Monitoring and Diagnosis of Diseases

Khalil

Mohktar

Ibrahim

2014

Sensors

523

313

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Bioimpedance analysis is a noninvasive, low cost and a commonly used approach for body composition measurements and assessment of clinical condition. There are a variety of methods applied for interpretation of measured bioimpedance data and a wide range of utilizations of bioimpedance in body composition estimation and evaluation of clinical status. This paper reviews the main concepts of bioimpedance measurement techniques including the frequency based, the allocation based, bioimpedance vector analysis and the real time bioimpedance analysis systems. Commonly used prediction equations for body composition assessment and influence of anthropometric measurements, gender, ethnic groups, postures, measurements protocols and electrode artifacts in estimated values are also discussed. In addition, this paper also contributes to the deliberations of bioimpedance analysis assessment of abnormal loss in lean body mass and unbalanced shift in body fluids and to the summary of diagnostic usage in different kinds of conditions such as cardiac, pulmonary, renal, and neural and infection diseases.

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Bioelectrical impedance parameters in critically ill children: Importance of reactance and resistance

Cited by 36 publications

References 24 publications

Biochemical and anthropometric correlates of bio-electrical impedance parameters in severely malnourished children: A cross-sectional study

Biochemical and anthropometric correlates of bio-electrical impedance parameters in severely malnourished children: A cross-sectional study

Body composition during growth in children: limitations and perspectives of bioelectrical impedance analysis

The Theory and Fundamentals of Bioimpedance Analysis in Clinical Status Monitoring and Diagnosis of Diseases

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