FP32-3 Stress, Inflammatory and Metabolic Biomarkers Correlate with Bio-impedance Measurements Obtained with a Novel, Advanced Bio-impedance Analyser (BIA-ACC): A Cross-sectional Study in Healthy and Diseased Caucasians

Program: Abstracts - Orals, Featured Poster Presentations, and Posters
Session: FP32-Health Outcomes & Quality Improvement
Translational
Monday, June 17, 2013: 10:45 AM-11:15 AM
Presentation Start Time: 10:55 AM
Room 301 (Moscone Center)

Poster Board MON-286
Charikleia Stefanaki*1, Dario Boschiero2 and George P. Chrousos3
1Medical School of National and Kapodistrian University of Athens, Athens, Greece, 2BIOTEKNA, 3Biomedical Research Foundation, Academy of Athens, Athens, Greece
Study Design: This is a cross-sectional, multi-center study conducted in Italy and coordinated by Biotekna® in Venice, Italy, between September 2009 and September 2012. Objectives: To evaluate the association of body composition measurements using a novel, advanced bio-impedance device with chronic stress/inflammatory biomarkers in a large Caucasian population. Participants: All subjects visited a physician for a routine check-up at the time of enrolment. A total of 160.768 subjects (43.884 males and 116.884 females, age range 10 to 100 years) were included in the study. Of these, 2,750 were lean and clinically healthy (BMI<25) and 37,099 were overweight (BMI >25 and <30), but also without metabolic syndrome manifestations. Of the total sample, 74.737 (7.243 males and 67.491 females) had metabolic syndrome manifestations and/or osteopenia/osteoporosis. Variables - Main outcome measures: The correlation of BIA-ACC measurements, including total body water (TBW), extracellular water (ECW), total body sodium (TBNa), chlorine (TBCl), magnesium (TBMg), calcium (TBCa), phosphorus (TBP), extracellular potassium (ECK), and appendicular soft tissue mass (ALST-AMM), and skeletal muscle (SM), fat mass (FMW), and fat free mass weight (FFM) to indices of chronic stress and inflammation, such as serum hsCRP and morning and evening salivary cortisol values. Statistical methods: We performed Student t-tests with appropriate corrections and Pearson’s correlation analysis. Results: In the lean and overweight healthy subjects, Pearson’s correlation analysis revealed highly significant negative correlations between TBW,  TBNa, and ECK with hsCRP and negative correlations with morning, but not evening, salivary cortisol concentrations. On established healthy nomograms, BIA-ACC clearly distinguished healthy from metabolically diseased subjects at multiple parameters, including ECW, ECK, TBCa, TBMg, TBP, FFM, FM, SM and ALST-AMM. Conclusions:  Our findings suggest that advanced bio-impedance analysis may provide a useful, bloodless and rapid tool in the clinical setting, distinguishing patients with chronic stress- and inflammation-related chronic noncommunicable diseases, such as metabolic syndrome and its manifestations and sequelae, from healthy subjects.

Disclosure: DB: Investigator, BIOTEKNA. Nothing to Disclose: CS, GPC

*Please take note of The Endocrine Society's News Embargo Policy at http://www.endo-society.org/endo2013/media.cfm

Sources of Research Support: This study was funded by Biotekna®, Venice, Italy.