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Department of Molecular Biosciences, School of Veterinary Medicine, University of CaliforniaDavis, Davis, CA and * U.S. Department of Agriculture Western Human Nutrition Research Center, Davis, CA
2To whom correspondence should be addressed. E-mail: denise.elliott{at}effem.com.
KEY WORDS: multifrequency bioelectrical impedance analysis body composition total body water extracellular water bioimpedance
EXPANDED ABSTRACT
Multifrequency bioelectrical impedance analysis (MF-BIA) is a promising, noninvasive, rapid, safe, portable, reproducible, electrical method of assessing body composition that has the potential to quantify total body water (TBW), extracellular water (ECW) and intracellular water (ICW), and thereby enable prediction of the fat-free mass (FFM), fat mass (FM) and body cell mass (BCM) (1). To our knowledge, there have not been any reports evaluating the use of MF-BIA in cats. The purpose of this study was to develop the scaling constants and assess the effects of animal position, animal length measurement and electrode configuration on the volume prediction accuracy of the Hydra ECF/ICF Bioimpedance Analyzer (Model 4200; Xitron Technologies, San Diego, CA) compared to TBW estimated by deuterium water (D2O) space and ECW estimated by bromide (Br) space in healthy cats.
| MATERIALS AND METHODS |
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Each cat was anesthetized with ketamine (1 mg/kg IV, to effect; Ketalar; Parke-Davis, Morris Plains, NJ), and diazepam (0.5 mg/kg IV, to effect; Valium; Roche Laboratories, Nutley, NJ) and positioned on a nonconductive table. Intradermal tetrapolar platinum electrodes (Grass platinum subdermal 27-gauge needle electrodes; Astro-Med, West Warwick, RI) were positioned at the external occipital protuberance on and perpendicular to the dorsal midline and the tail base on and perpendicular to the dorsal midline (body); the lateral condyle of the right humerus and the lateral aspect of the proximal tibia at the level of the femorotibial joint (ipsilateral); and the lateral condyle of the left humerus and the lateral aspect of the proximal tibia at the level of the femorotibial joint (contralateral) (Fig. 1). MF-BIA measurements were performed with a Hydra ECF/ICF Bioimpedance Analyzer connected to the corresponding intradermal electrodes while the cat was positioned in sternal recumbence. Ten measurements of resistance (R) and reactance (Xc) were obtained, and the corresponding impedance and phase angle were computed from R and Xc at 50 frequencies ranging from 5 to 1000 kHz. MF-BIA measurements were repeated with the cat positioned in left lateral recumbence, using all electrode arrays. The path lengths between each of the tetrapolar electrode configurations were recorded using a flexible tape graduated in millimeters. Six MF-BIA configurations were evaluated: sternal ipsilateral (SI), sternal contralateral (SC), sternal body (SB), left lateral ipsilateral (LLRI), left lateral contralateral (LLRC) and left lateral body (LLRB).
The generated Z- and two-spectral data for each electrode array and body position were fitted to an enhanced version of the ColeCole model of current conduction through heterogeneous biological tissues using iterative nonlinear curve-fitting algorithms derived for use with the Hydra Bioimpedance Spectrometer (1). The enhanced modeling program extends the original ColeCole model to allow for the frequency-invariant time delays caused by the speed at which electrical information is transferred through a conductor to yield the resistance of extracellular fluid (RE) and intracellular fluid (RI), respectively (1). The apparent resistivity constants of the ECW and ICW were determined by the iterative prediction of VICW/VECW for each configuration. The values for ECW and ICW were predicted from the modeled RE and RI using equations formulated from Hanais mixture theory, which describe the effects of nonconductive material on the apparent resistivity of the surrounding conductive fluid (1).
In addition to descriptive statistics, relationships among variables were determined by analysis of variance, general linear models procedure and least-squares linear regression techniques using standard statistical software (Statistical Analysis System; SAS Institute Inc., Cary, NC). BlandAltman plots were constructed to display differences between the MF-BIA predicted and the D2O determined TBW, and the MF-BIA predicted and the Br determined ECW. All data were expressed as means ± SE unless otherwise noted. Any value of P < 0.05 was considered significant.
| RESULTS |
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The MF-BIA configuration that had the smallest standard error of the estimate (SEE) compared with that of the D2O determined TBW was the sternal contralateral path-length (SCP) configuration (r = 0.84, SEE = 0.26 L). The difference between the D2O determined and the MF-BIA (SCP) determined TBW was -0.0001 ± 0.06 L, and the limits of agreement were -0.50 to 0.50 L (Fig. 2). Conversely, the MF-BIA configuration that had the largest SEE compared with that of the D2O determined TBW was the left lateral body scapula height (LLRBSH) configuration (r = 0.41, SEE = 0.62 L). The difference between the D2O determined and the MF-BIA (LLRBSH) determined TBW was 0.0001 ± 0.14 L, and the limits of agreement were -1.22 to 1.22 L (Fig. 2).
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| FOOTNOTES |
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3 Current address: Waltham USA, 3250 East 44th St., Vernon, CA 90058. ![]()
4 Abbreviations used: BCM, body cell mass; Br, bromide; D2O, deuterium oxide; ECW, extracellular water; FFM, fat-free mass; FM, fat mass; F, female; FS, female spayed; ICW, intracellular water; LLRB, left lateral body; LLRC, left lateral contralateral; LLRI, left lateral ipsilateral; M, male; MC, male castrated; MF-BIA, multifrequency bioelectrical impedance analysis; R, resistance; RE, resistance of the extracellular water; RI, resistance of the intracellular water; SB, sternal body; SC, sternal contralateral; SI, sternal ipsilateral TBW, total body water; Xc, reactance. ![]()
| LITERATURE CITED |
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1. De Lorenzo, A., Andreoli, A., Matthie, J. R. & Withers, P. O. (1997) Predicting body cell mass with bioimpedance by using theoretical methods: a technological review. J. Appl. Physiol. 82:1542-1558.
2. Backus, R. C., Havel, P. J., Gingerich, R. L. & Rogers, Q. R. (2000) Relationship between serum leptin immunoreactivity and body fat mass as estimated by use of a novel gas-phase Fourier transform infrared spectroscopy deuterium dilution method in cats. Am. J. Vet. Res. 61:796-801.[Medline]
3. Miller, M. E., Cosgriff, J. M. & Forbes, G. B. (1989) Bromide space determination using anion-exchange chromatography for measurement of bromide. Am. J. Clin. Nutr. 50:168-171.
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