title: Bioelectrical impedance vector analysis as a useful predictor of nutritional status in patients with short bowel syndrome.
abstract: Short bowel syndrome (SBS) represents a serious intestinal absorption disorder. Therefore, patients with SBS may have severe malnutrition and excessive mineral and fluid losses. Once the assessment of nutritional status is important in their follow-up, body composition measurements and especially total body water (TBW) must be repeatedly evaluated for the assessment of changes in hydration and nutritional care. The aim of this study was to investigate if bioelectrical impedance vector analysis (BIVA) is a useful predictor of nutritional and hydration status in SBS patients.
  
  
  
  In this observational study, 22 participants (12 women), 11 with SBS and 11 gender, age and BMI-matched controls, were evaluated using the bioelectrical impedance measurements (BIA) and BIVA to assess nutritional and hydration status.
  
  
  
  Participants age was 53 ± 8 y (mean ± SD). Body water, fat mass and lean mass as assessed by BIA did not differ between the two groups. However, BIVA showed important differences between the groups regarding hydration and amount of soft tissue (p < 0.0001 for women and p = 0.0015 for men). The results also evidenced that women's vectors were related to cachexia, while men's vectors were divided into lean and cachexia quadrants. The use of BIVA analysis also evidenced hydration disturbance and losses of soft tissue.
  
  
  
  BIVA may represent a better predictor of nutritional status for analysis and interpretation of body composition in patients with short bowel syndrome. This trial was registered at ClinicalTrials.gov as NCT02113228.
authors.affiliation: Department of Internal Medicine, Ribeirão Preto Medical School, University of São Paulo, Avenida Bandeirantes, 3900, Bairro Monte Alegre, Brazil. Electronic address: priscilafassini@usp.br.
authors.forename: Priscila Giacomo
authors.initials: PG
authors.lastname: Fassini
authors.affiliation: Department of Internal Medicine, Ribeirão Preto Medical School, University of São Paulo, Avenida Bandeirantes, 3900, Bairro Monte Alegre, Brazil.
authors.forename: Carolina Ferreira
authors.initials: CF
authors.lastname: Nicoletti
authors.affiliation: Department of Internal Medicine, Ribeirão Preto Medical School, University of São Paulo, Avenida Bandeirantes, 3900, Bairro Monte Alegre, Brazil.
authors.forename: Karina
authors.initials: K
authors.lastname: Pfrimer
authors.affiliation: Department of Internal Medicine, Ribeirão Preto Medical School, University of São Paulo, Avenida Bandeirantes, 3900, Bairro Monte Alegre, Brazil.
authors.forename: Carla Barbosa
authors.initials: CB
authors.lastname: Nonino
authors.affiliation: Department of Internal Medicine, Ribeirão Preto Medical School, University of São Paulo, Avenida Bandeirantes, 3900, Bairro Monte Alegre, Brazil.
authors.forename: Júlio Sérgio
authors.initials: JS
authors.lastname: Marchini
authors.affiliation: Department of Internal Medicine, Ribeirão Preto Medical School, University of São Paulo, Avenida Bandeirantes, 3900, Bairro Monte Alegre, Brazil.
authors.forename: Eduardo
authors.initials: E
authors.lastname: Ferriolli
mesh_terms: D001823:Body Composition; D015992:Body Mass Index; D001938:Brazil; D002100:Cachexia / Q000209:etiology / Q000503:physiopathology; D003430:Cross-Sectional Studies; D003681:Dehydration / Q000175:diagnosis / Q000209:etiology* / Q000503:physiopathology; D017097:Electric Impedance; D005260:Female; D006801:Humans; D008297:Male; D044342:Malnutrition / Q000175:diagnosis / Q000209:etiology* / Q000503:physiopathology; D008875:Middle Aged; D008954:Models, Biological; D015596:Nutrition Assessment; D009752:Nutritional Status; D011237:Predictive Value of Tests; D055948:Sarcopenia / Q000175:diagnosis / Q000209:etiology* / Q000503:physiopathology; D012720:Severity of Illness Index; D012727:Sex Characteristics; D012778:Short Bowel Syndrome / Q000503:physiopathology*; D013851:Thinness / Q000209:etiology / Q000503:physiopathology; D015431:Weight Loss
keywords: Bioelectrical impedance analysis; Bioelectrical impedance vector analysis; Body composition; Nutritional status; Short bowel syndrome