title: Body adiposity index assess body fat with high accuracy in nondialyzed chronic kidney disease patients.
abstract: OBJECTIVE
  High body fat (BF) is an alarming condition that also affects nondialyzed chronic kidney disease (CKD) patients. Distinct methods are used to evaluate BF; however, in CKD population it remains unclear which one is more reliable showing high accuracy. Dual-energy X-ray absorptiometry (DXA), used as reference method to estimate adiposity, is expensive and time consuming to be applied in clinical settings. Recently, a new body adiposity index (BAI), that estimates BF from easily accessible measures, was validated in the general population. The aim of this study was to evaluate which simple and practical method, routinely used to estimate BF, shows the highest accuracy compared with DXA, in nondialyzed CKD patients.
  
  
  METHODS
  In this cross-sectional study BF was estimated by DXA, bioelectrical impedance analysis (BIA), anthropometry (ANTHRO), and BAI. Serum leptin levels were determined.
  
  
  RESULTS
  Studied patients (n = 134) were 55% males, 54% overweight/obese, and 64.9 ± 12.5 years old, with estimated glomerular filtration rate (eGFR) = 29.0 ± 12.7 ml/min. The correlation coefficient was higher between DXA vs. ANTHRO (r = 0.76) and BAI (r = 0.61) than with BIA (r = 0.57), after adjusting for gender, age, and eGFR (P < 0.0001). Therefore, the Lin's concordance correlation coefficient and Bland-Altman plots were performed to measure the accuracy (C_b) between DXA with both ANTHRO and BAI. A higher accuracy (C_b = 0.82) and lower mean difference (-3.4%) was observed for BAI than for ANTHRO (C_b = 0.61; -8.4%). Leptin levels correlated (P < 0.0001) with DXA (r = 0.56) and BAI (r = 0.59).
  
  
  CONCLUSIONS
  These findings suggest that BAI estimates BF with high accuracy in nondialyzed CKD patients and may be helpful in the treatment of this population with increased BF.
authors.affiliation: Department of Applied Nutrition, Nutrition Institute, Rio de Janeiro State University, Rio de Janeiro, Brazil. mibsab@terra.com.br
authors.forename: Maria Inês B
authors.initials: MI
authors.lastname: Silva
authors.forename: Barbara S
authors.initials: BS
authors.lastname: Vale
authors.forename: Carla C S
authors.initials: CC
authors.lastname: Lemos
authors.forename: Marcia R S G
authors.initials: MR
authors.lastname: Torres
authors.forename: Rachel
authors.initials: R
authors.lastname: Bregman
mesh_terms: D015502:Absorptiometry, Photon; D000273:Adipose Tissue; D050154:Adiposity; D000368:Aged; D000886:Anthropometry; D015415:Biomarkers / Q000097:blood; D015992:Body Mass Index; D003430:Cross-Sectional Studies; D017097:Electric Impedance; D005069:Evaluation Studies as Topic; D005260:Female; D006801:Humans; D020738:Leptin / Q000097:blood; D008297:Male; D008875:Middle Aged; D009765:Obesity / Q000150:complications / Q000503:physiopathology; D050177:Overweight / Q000150:complications / Q000503:physiopathology*; D051436:Renal Insufficiency, Chronic / Q000209:etiology / Q000503:physiopathology*
chemical_list: D015415:Biomarkers; D020738:Leptin