Bioelectrical Impedance Vector Analysis for Nutritional Status Assessment in Systemic Sclerosis and Association With Disease Characteristics.
Marco Di BattistaSimone BarsottiAlessia MonacoAlessandra RossiAlessandra Della RossaMarta MoscaPublished in: The Journal of rheumatology (2020)
BIVA, unlike BMI, allowed an accurate characterization of SSc patients at risk of malnutrition, correlating with serological malnutrition markers, with SSc-specific organ manifestations (cardiopulmonary involvement and microvascular damage), and with mortality. BIVA variables might represent a surrogate marker of damage accrual that leads to malnutrition, thus playing a leading role in the prognostic stratification of SSc patients.
Keyphrases
- systemic sclerosis
- interstitial lung disease
- end stage renal disease
- oxidative stress
- chronic kidney disease
- ejection fraction
- body composition
- newly diagnosed
- body mass index
- high resolution
- cardiovascular events
- rheumatoid arthritis
- cardiovascular disease
- magnetic resonance imaging
- type diabetes
- computed tomography
- magnetic resonance
- weight gain
- dual energy
- weight loss