Validating Body Fat Assessment by Bioelectric Impedance Spectroscopy in Taiwanese Hemodialysis Patients.

OBJECTIVE Obesity is becoming increasingly common in hemodialysis (HD) patients and is associated with inflammation and increased mortality. The primary aim of the present study was to evaluate the accuracy and variability of the bioimpedance device in measuring body fat in Taiwanese dialysis patients. DESIGN Cross-sectional study. SUBJECTS One hundred twenty-two adult patients receiving HD in a single hospital in Taiwan. SETTING We compared the results of fat mass (FM) measured by dual-energy x-ray absorptiometry (DEXA) and bioelectrical impedance spectroscopy device (Body composition monitor, BCM). MAIN OUTCOME MEASUREMENT FM measured by BCM was calculated by subtracting fat-free mass (FFM) from body mass assuming fractional hydration of FFM of 0.73 or the proprietary prediction equations from the BCM model. RESULTS Assessment of whole-body composition showed that percentage FM measured using the 2 techniques was highly correlated when using the BCM model or estimating from total body water using constant (0.73) hydration (r = 0.87, P < .001). There was no evident difference in measurement between patients gender. The Bland-Altman plot also showed good agreement of percentage of FM (t = 3.82; P < .001). In female patients, it was found that BCM significantly underestimated mean FM as compared to DEXA. However, the mean differences of the estimates between the methods were small (0.35 ± 3.00 kg) and with Bland-Altman plot the limits of agreements were -5.5 to 6.2 kg (P = .40) for FM in female patients. CONCLUSIONS Using DEXA as the reference test, BCM is a valid tool for the assessment of total body fat in HD patients. Hence, it may provide a more accessible tool for early detection of changes in body composition in these high-risk patients.

[1]  A. Beckett,et al.  AKUFO AND IBARAPA. , 1965, Lancet.

[2]  F. Dekker,et al.  Excess mortality due to interaction between protein-energy wasting, inflammation and cardiovascular disease in chronic dialysis patients. , 2008, Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association.

[3]  S. Heymsfield,et al.  Hydration of fat-free body mass: new physiological modeling approach. , 1999, American journal of physiology. Endocrinology and metabolism.

[4]  E. Lonn,et al.  Malnutrition-inflammation complex syndrome in dialysis patients: causes and consequences. , 2003, American journal of kidney diseases : the official journal of the National Kidney Foundation.

[5]  T. Ikizler,et al.  Resolved: being fat is good for dialysis patients: the Godzilla effect: pro. , 2008, Journal of the American Society of Nephrology : JASN.

[6]  T G Lohman,et al.  Why bioelectrical impedance analysis should be used for estimating adiposity. , 1996, The American journal of clinical nutrition.

[7]  H. Koyama,et al.  Body fat mass and lean mass as predictors of survival in hemodialysis patients. , 2006, Kidney international.

[8]  A. Luke,et al.  Increasing body mass index and obesity in the incident ESRD population. , 2006, Journal of the American Society of Nephrology : JASN.

[9]  W. Gulliver,et al.  Comparison of multifrequency bioelectrical impedance analysis with dual-energy X-ray absorptiometry for assessment of percentage body fat in a large, healthy population. , 2005, The American journal of clinical nutrition.

[10]  C. Yen,et al.  Lean Body Mass Predicts Long-Term Survival in Chinese Patients on Peritoneal Dialysis , 2013, PloS one.

[11]  S. Draibe,et al.  Comparison of skinfold thicknesses and bioelectrical impedance analysis with dual-energy X-ray absorptiometry for the assessment of body fat in patients on long-term haemodialysis therapy. , 2003, Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association.

[12]  J M Bland,et al.  Statistical methods for assessing agreement between two methods of clinical measurement , 1986 .

[13]  K. Kalantar-Zadeh,et al.  Why is protein-energy wasting associated with mortality in chronic kidney disease? , 2009, Seminars in nephrology.

[14]  P. Stenvinkel,et al.  Obese sarcopenia in patients with end-stage renal disease is associated with inflammation and increased mortality. , 2007, The American journal of clinical nutrition.

[15]  P. Deurenberg,et al.  Elevated body fat percentage and cardiovascular risks at low body mass index levels among Singaporean Chinese, Malays and Indians , 2002, Obesity reviews : an official journal of the International Association for the Study of Obesity.

[16]  G. Plasqui,et al.  Ethnic differences in body composition and the associated metabolic profile: a comparative study between Asians and Caucasians. , 2010, Maturitas.

[17]  J. Rosenberger,et al.  Body composition monitor assessing malnutrition in the hemodialysis population independently predicts mortality. , 2014, Journal of renal nutrition : the official journal of the Council on Renal Nutrition of the National Kidney Foundation.

[18]  D. Haroun,et al.  Evaluation of Lunar Prodigy dual-energy X-ray absorptiometry for assessing body composition in healthy persons and patients by comparison with the criterion 4-component model. , 2006, The American journal of clinical nutrition.

[19]  K. Ellis Human body composition: in vivo methods. , 2000, Physiological reviews.

[20]  K. Kalantar-Zadeh,et al.  Survival predictability of lean and fat mass in men and women undergoing maintenance hemodialysis. , 2010, The American journal of clinical nutrition.

[21]  Influence of Fluid Status on Techniques Used to Assess Body Composition in Peritoneal Dialysis Patients , 2003, Peritoneal dialysis international : journal of the International Society for Peritoneal Dialysis.

[22]  A. Davenport,et al.  Does Diabetes Mellitus Predispose to Increased Fluid Overload in Peritoneal Dialysis Patients? , 2009, Nephron Clinical Practice.

[23]  W L Beeson,et al.  Comparison of Body Composition by Bioelectrical Impedance Analysis and Dual‐Energy X‐Ray Absorptiometry in Hispanic Diabetics , 2010, International journal of body composition research.

[24]  A. Hishida,et al.  Influence of body composition on 5 year mortality in patients on regular haemodialysis. , 2003, Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association.

[25]  K. Johansen,et al.  Vintage, nutritional status, and survival in hemodialysis patients. , 2000, Kidney international.

[26]  A. Fürstenberg,et al.  Comparison of multifrequency bioelectrical impedance analysis and dual-energy X-ray absorptiometry assessments in outpatient hemodialysis patients. , 2011, American journal of kidney diseases : the official journal of the National Kidney Foundation.

[27]  G. Woodrow,et al.  Measurement of body composition in chronic renal failure: comparison of skinfold anthropometry and bioelectrical impedance with dual energy X-ray absorptiometry. , 1996, European journal of clinical nutrition.

[28]  A. Bosy-Westphal,et al.  A whole-body model to distinguish excess fluid from the hydration of major body tissues. , 2007, The American journal of clinical nutrition.

[29]  Peter Kotanko,et al.  Body composition and survival in dialysis patients: results from an international cohort study. , 2015, Clinical journal of the American Society of Nephrology : CJASN.

[30]  G. Beck,et al.  Both low muscle mass and low fat are associated with higher all-cause mortality in hemodialysis patients. , 2010, Kidney international.

[31]  J. Wang,et al.  Comparison of five body-composition methods in peritoneal dialysis patients. , 1996, The American journal of clinical nutrition.

[32]  I. Lambrinoudaki,et al.  Body composition changes in chronic hemodialysis patients before and after hemodialysis as assessed by dual-energy x-ray absorptiometry. , 1997, Metabolism: clinical and experimental.

[33]  M. Samore,et al.  Effects of body size and body composition on survival in hemodialysis patients. , 2003, Journal of the American Society of Nephrology : JASN.

[34]  A. Molfino,et al.  Comparison of Bioimpedance and Dual-Energy X-Ray Absorptiometry for Measurement of Fat Mass in Hemodialysis Patients , 2013, Nephron Clinical Practice.

[35]  F. Locatelli,et al.  Nutritional status in dialysis patients: a European consensus. , 2002, Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association.