Emanuele Rinninella|Marco Cintoni|Giovanni Addolorato|Silvia Triarico|Antonio Ruggiero|Alessia Perna|Gabriella Silvestri|Antonio Gasbarrini|Maria Cristina Mele.
Annals of Clinical Nutrition
BACKGROUND: Given its simplicity and reliability, Bioelectrical Impedance Analysis (BIA) has become in the last decade a widespread tech¬nique, both in clinical and non-clinical settings, to verify body composition and detect the percentage of Fat Mass (FM) and Free-Fat Mass (FFM). BIA method is based on the principle that the passage of an alternate electric current in a body may find a resistance (im¬pedance) related to the subject’s body composition
SUBJECTS AND METHODS: We evaluated hospitalized patients in several clinical condi¬tions, during the daily clinical practice in our center, “Fondazi¬one Policlinico Universitario A. Gemelli”, Rome. Our local ethic committee approved this cross-sectional hospital study. A set of apparently healthy subjects was also enrolled. Each patient was evaluated using the MF-BIA Bodystat 5000 (Bodystat®), a phase-sensitive bio impedance device. The instrument directly measures Xc, R and PhA through specifics in the electronic cir¬cuitry (these are direct measures; they are not calculated). We used low inherent impedance electrodes, specifically made for Bodystat® (electrode conformity agreement is available, on re¬quest from the Company).
Result and conclusion: From December 2016 to October 2017 data from 227 sub¬jects were collected. Of these, 161 were admitted to the Gastro¬enterology Department, 26 in Pediatric Oncology Unit, 23 were neurologic outpatients affected by myotonic dystrophy type 1 (Steinert disease); 17 healthy subjects have also been examined. In gastroenterological patients mean PhA and IR were respec¬tively 4.47 ±1.19 and 0.853 ±0.040; in childhood cancer patients 4.20±1.02 and 0.854±0.039; in patients affected by Steinert dis¬ease 3.72±1.38 and 0.863±0.045; in healthy subjects 5.53±0.70 and 0.801±0.023 (ANOVA: p<0.0001). Correlations between PhA and IR are shown in Figures 1-5. A strong inverse correlation was found between the two vari¬ables, with an r ranging from 0.861 (gastroenterology patients) to 0.979 (healthy subjects).