Literature DB >> 31625295

Letter to the Editor: Normal Reference Plots of the Bioelectrical Impedance Vector for Healthy Korean Adults.

Henry C Lukaski1.   

Abstract

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Mesh:

Year:  2019        PMID: 31625295      PMCID: PMC6801225          DOI: 10.3346/jkms.2019.34.e274

Source DB:  PubMed          Journal:  J Korean Med Sci        ISSN: 1011-8934            Impact factor:   2.153


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Real-time classification of hydration in patients with altered fluid status remains a priority with increasing efforts focused on bioelectrical impedance vector analysis (BIVA) because of the reliance on impedance measurements independent of body weight and sample-specific regression equations to predict fluid volumes.12 Oh et al.3 derive reference BIVA plots for healthy Korean adults and identify population-specific differences in impedance vector positions and distributions on resistance-reactance (RXc) plots. They attribute these disparities principally to ethnic differences in body composition and health status and only mention in passing the potential impact of impedance instruments as a causal factor. Variations in the technical characteristics of the bioimpedance analyzers used to obtain the BIVA reference values (Table 2 and Fig. 3) include impedance technology (single frequency, phase-sensitive compared to multiple frequency spectroscopy with modeling), electrode placement (whole-body or wrist-to-ankle compared to segmental electrode location), electrode type (hydrogel versus metal), and calibration (point or single frequency compared to modeling of a wide spectrum of frequencies) that directly affect in vivo impedance measurements. Investigators report significant and biologically meaningful discrepancies exceeding 10% in R and up to 20% in Xc with various impedance instruments compared to the 50 kHz phase-sensitive instrument used in development of the BIVA.456 Additionally, failure to use contact electrodes with low inherent impedance results in mis-classification of hydration with BIVA.7 The observed disparity in BIVA reference data on the RXc plot (Fig. 3) highlight apparent population differences in body composition confounded with a moderating effect of impedance device. Data for the Italian and Spanish samples came from a 50 kHz phase-sensitive device.89 In contrast, a phase-sensitive 50 kHz impedance unit with questionable calibration10 provided measurements to construct the US population reference BIVA data11 while a multi-frequency spectroscopy device yielded modeled impedance data for the Korean sample.3 Whereas individual impedance device measurement reliability is generally high, an absence of international manufacturing standards, coordination of technology and cross-calibration of electrical accuracy contributes to significant inter-instrument measurement variability.1213 These findings emphasize the lack of inter-changeability among bioimpedance instruments and underscore the need for consistency in the selection of a bioimpedance instrument in research and clinical applications of hydration assessment in which standards for classification and evaluation of the effects of treatment are needed. It is of paramount importance to obtain an appropriate assessment of a patient's hydration status, for their diagnosis and management in diverse situations. However, estimating the volume status is difficult, because the clinical signs and symptoms for over- or under-hydration are neither sensitive nor reliable.1 In this regard, bioimpedance analysis (BIA) serves as a convenient and attractive aid for assessing body fluid volume. However, the performance of BIA is compromised by its reliance on population-specific regression equations and erroneous assumptions about body geometry and composition.2 As a result, bioelectrical impedance vector analysis (BIVA) has emerged as an attractive alternative to BIA, due to its ability to detect and rank changes of < 500 mL in tissue hydration levels without requiring prediction equations or knowing the body weight. Although a precise impedance measurement is the only requirement for BIVA, it is still affected by several potential sources of error. These error sources include the malposition of electrodes, using high-impedance electrodes, increased skin temperature, and using a non-phase-sensitive device that cannot directly measure reactance (Xc) or phase angle. InBody S10 is a tetrapolar eight-point tactile electrode system capable of measuring the impedance, Xc, and phase angles of each of the 5 body segments (right arm, left arm, trunk, right leg, and left leg) at 3 different frequencies (5, 50, and 250 kHz). However, as pointed out in the letter by Lukaski, there has been a concern that impedance measurements might be affected by the characteristics of the analyzer, resulting in varying readings between different analyzers.3 Some factors considered responsible for these errors include the properties of the cables and electrodes, the positions of the current-injecting and the voltage-sensing electrodes in tetrapolar systems, and the ability to sustain a constant current while measuring impedances.45 We also agree that differences between the reference ellipses of various ethnic groups might be caused by differences in analyzer characteristics used in other research. This study highlights the importance of considering the devices used in bioimpedance measurements when interpreting the study results.
  16 in total

1.  [Normal values of bioimpedance vector in Spanish population].

Authors:  Ximena Atilano-Carsi; María Auxiliadora Bajo; Gloria Del Peso; Rafael Sánchez; Rafael Selgas
Journal:  Nutr Hosp       Date:  2014-10-03       Impact factor: 1.057

2.  Different displacement of bioimpedance vector due to Ag/AgCl electrode effect.

Authors:  L Nescolarde; H Lukaski; A De Lorenzo; B de-Mateo-Silleras; M P Redondo-Del-Río; M A Camina-Martín
Journal:  Eur J Clin Nutr       Date:  2016-07-06       Impact factor: 4.016

3.  Lack of agreement of in vivo raw bioimpedance measurements obtained from two single and multi-frequency bioelectrical impedance devices.

Authors:  Analiza M Silva; Catarina N Matias; Catarina L Nunes; Diana A Santos; Elisabetta Marini; Henry C Lukaski; Luís B Sardinha
Journal:  Eur J Clin Nutr       Date:  2018-10-22       Impact factor: 4.016

4.  Bivariate normal values of the bioelectrical impedance vector in adult and elderly populations.

Authors:  A Piccoli; S Nigrelli; A Caberlotto; S Bottazzo; B Rossi; L Pillon; Q Maggiore
Journal:  Am J Clin Nutr       Date:  1995-02       Impact factor: 7.045

5.  A comparison of four commercial systems used to measure whole-body electrical impedance.

Authors:  S W Smye; J Sutcliffe; E Pitt
Journal:  Physiol Meas       Date:  1993-11       Impact factor: 2.833

6.  Accuracy of an eight-point tactile-electrode impedance method in the assessment of total body water.

Authors:  G Bedogni; M Malavolti; S Severi; M Poli; C Mussi; A L Fantuzzi; N Battistini
Journal:  Eur J Clin Nutr       Date:  2002-11       Impact factor: 4.016

Review 7.  Assessment of adult malnutrition and prognosis with bioelectrical impedance analysis: phase angle and impedance ratio.

Authors:  Henry C Lukaski; Ursula G Kyle; Jens Kondrup
Journal:  Curr Opin Clin Nutr Metab Care       Date:  2017-09       Impact factor: 4.294

8.  Validity of bioelectrical impedance analysis in estimation of fat-free mass in colorectal cancer patients.

Authors:  Hanna Ræder; Ane Sørlie Kværner; Christine Henriksen; Geir Florholmen; Hege Berg Henriksen; Siv Kjølsrud Bøhn; Ingvild Paur; Sigbjørn Smeland; Rune Blomhoff
Journal:  Clin Nutr       Date:  2017-01-12       Impact factor: 7.324

9.  Signs and Symptoms of Low-Intake Dehydration Do Not Work in Older Care Home Residents-DRIE Diagnostic Accuracy Study.

Authors:  Diane K Bunn; Lee Hooper
Journal:  J Am Med Dir Assoc       Date:  2019-03-12       Impact factor: 4.669

10.  Normal Reference Plots for the Bioelectrical Impedance Vector in Healthy Korean Adults.

Authors:  Jun Hyok Oh; Seunghwan Song; Harin Rhee; Sun Hack Lee; Doo Youp Kim; Jeong Cheon Choe; Jinhee Ahn; Jin Sup Park; Myung Jun Shin; Yun Kyung Jeon; Hye Won Lee; Jung Hyun Choi; Han Cheol Lee; Kwang Soo Cha
Journal:  J Korean Med Sci       Date:  2019-08-05       Impact factor: 2.153

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