Not so long ago, the use of body composition analysis by traditional bio impedance analysis was limited to parameters lean mass / fat. Recently the BIVA technology, as highlighted by many recent scientific publications, has expanded the use of impedance analysis to new clinical applications.
Simpler to manage, but accuracy is questionable Sensors are applied to the skin and a weak electrical current is run through the body to estimate body fat, lean body mass, and body water Based on the principle that fatty tissue is a less-efficient conductor of an electrical current LIMITS: Changes in hydration of lean body mass induce errors in the estimation of compartments
BIVA discriminates the composition of weight change associated with fluid and soft tissue gain or loss. BIVA offers a convenient alternative to the invasive procedures conventionally used in critical care patients to ascertain their need for fluid infusions. BIVA offers advantages to conventional methods of assessment of hydration. It does not use regression equations or physiological constants, which are not valid in individuals with altered hydration, or body weight to predict changes in tissue hydration
Thanks to the combination of conventional BIA approach for estimating body compartment, BIVA to detect changes of quality and fluids shift and a powerful wireless connection to a Data Server BIVA-EXPERT group offers you the most advanced and integrated system to follow your patient or customer.?
Beyond the limits: TELELAB overcomes the limitation deriving from the fluids steady state assumption Biva-expert thanks to Hydragram ® and Nutrigram ® technologies .
Body composition reflects nutritional intakes, losses and needs over time. Undernutrition, i.e. fat-free mass (FFM) loss, is associated with decreased survival, worse clinical outcome and quality of life, as well as increased therapy toxicity in cancer patients. In numerous clinical situations, such as sarcopenic obesity and chronic diseases, the measurement of body composition with available methods, such as dual-X ray absorptiometry, computerized tomography and bioelectrical impedance analysis, quantifies the loss of FFM, whereas body weight loss and body mass index only inconstantly reflect FFM loss. The measurement of body composition allows documenting the efficiency of nutrition support, tailoring the choice of disease-specific and nutritional therapies and evaluating their efficacy and putative toxicity. Easy-to-use body composition methods integrated to the routine of care allow sequential measurements for an initial nutritional assessment and objective patients follow-up. By allowing an earlier and objective management of under/over nutrition, body composition assessment could contribute to reduce morbidity, worsening of quality of life, and global health care costs by a timely nutrition intervention.