Dataset Information

The Validity of Bioelectrical Impedance Analysis to Measure Body Composition in Phenylketonuria.

ABSTRACT: AIM:To compare the measurement of total body water (TBW) and fat-free mass (FFM) using the criterion method of deuterium dilution space (2H2O) with bioelectrical impedance analysis (BIA) using a portable QuadScan 4000, Bodystat® in children and adolescents with phenylketonuria (PKU). METHODS:Sixteen patients with PKU, median age is 12.5 (range 5-20.6) years, were recruited into this cross-sectional study. TBW was measured by both deuterium dilution and BIA on the same occasion as per a standard protocol. FFM was estimated from predictive equations. RESULTS:There was no significant difference between TBWDeut and TBWBIA (p = 0.344) or FFMDeut and FFMBIA (p = 0.111). TBWDeut and TBWBIA were highly correlated (r = 0.990, p < 0.0001), as were FFMDeut and FFMBIA (r = 0.984, p < 0.0001). Bland-Altman plots demonstrated that there was no proportional bias between the criterion method, TBWDeut, and the test method TBWBIA, in estimating TBW (? = -0.056, adjusted r 2 = 0.069, p = 0.169) or FFM (? = -0.089, adjusted r 2 = 0.142, p = 0.083). CONCLUSION:Our results suggest that when compared with the criterion method, the QuadScan 4000, Bodystat® can reliably be used to predict TBW and FFM in patients with PKU. We suggest that due to the portability and non-invasive approach, this method can reliably be used to monitor body composition in the outpatient clinic setting, to further improve the monitoring and assessment of nutritional status in PKU.

SUBMITTER: Evans M

PROVIDER: S-EPMC6226404 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

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The Validity of Bioelectrical Impedance Analysis to Measure Body Composition in Phenylketonuria.

Evans Maureen M Nguo Kay K Boneh Avihu A Truby Helen H

JIMD reports 20171124

<h4>Aim</h4>To compare the measurement of total body water (TBW) and fat-free mass (FFM) using the criterion method of deuterium dilution space (<sup>2</sup>H<sub>2</sub>O) with bioelectrical impedance analysis (BIA) using a portable QuadScan 4000, Bodystat<sup>®</sup> in children and adolescents with phenylketonuria (PKU).<h4>Methods</h4>Sixteen patients with PKU, median age is 12.5 (range 5-20.6) years, were recruited into this cross-sectional study. TBW was measured by both deuterium dilution ...[more]

PMID: 29170929

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Project description:Bioelectrical impedance analysis (BIA) is currently the most commonly used method in clinical practice to measure body composition. However, the bioelectrical impedance analyzer is not designed according to different countries, races, and elderly populations. Because different races may have different body compositions, a prediction model for the elderly population in Taiwan should be developed to avoid population bias, thereby improving the accuracy of community evaluation surveys.Dual energy X-ray absorptiometry (DXA) was used as a standard method for comparison, and impedance analysis was used for the development of a highly accurate predictive model that is suitable for assessing the body composition of elderly people.This study employed a cross-sectional design and recruited 438 elderly people who were undergoing health examinations at the health management center in the Tri-Service General Hospital as study subjects. Basic demographic variables and impedance analysis values were used in four predictive models, namely, linear regression, random forest, support vector machine (SVM), and eXtreme Gradient Boosting (XGBoost) models, to predict DXA body composition. The data from 354 study subjects were used to develop the predictive model, while the data from 84 study subjects were used to validate the accuracy of the predictive model.The body composition of elderly people as estimated by InBody 720 was highly correlated with that estimated by DXA. The correlation coefficient between InBody 720 and DXA for muscle mass was 0.969, and that for fat mass was 0.935. Consistency analysis results showed that InBody 720 tends to underestimate muscle mass and fat mass. A comparison of the accuracy of the linear regression, random forest, SVM, and XGBoost models showed that the linear regression has the highest accuracy. The correlation coefficient between the new model and DXA for muscle mass and fat mass were 0.977 and 0.978, respectively.The new predictive model can be used to monitor the nutrition status of elderly people and identify people with sarcopenia in the community.

Dataset Information

The Validity of Bioelectrical Impedance Analysis to Measure Body Composition in Phenylketonuria.

Publications

The Validity of Bioelectrical Impedance Analysis to Measure Body Composition in Phenylketonuria.

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