Aging is associated with a gradual decline in strength and skeletal muscle mass, at a rate of about 0.5% per year, and it is estimated that around 20% of people over 65 are currently sarcopenic. This condition reduces individuals’ ability to carry out daily activities, increases fall risk and frailty, and negatively affects healthy aging. Furthermore, it may limit nutritional intake and promote the onset of malnutrition, which worsens patients’ health status. Today, malnutrition affects approximately 1 million people over the age of 70, making it a major public health challenge in the context of population aging.
With the devices developed by Aminogram, you can accurately identify skeletal muscle loss and body composition imbalances to better anticipate the risks associated with aging and chronic diseases. Optimize prevention, tailor care strategies, and improve your patients’ quality of life through reliable and in-depth body composition analysis.
Thanks to precise body composition analysis, the devices developed by Aminogram make it possible to:
In collaboration with the Frailty Platform (UF3631) and the Department of Rehabilitation, Autonomy & Aging at Nice University Hospital, Aminogram has clinically validated a dedicated algorithm for adults aged 65 and older to calculate appendicular skeletal muscle mass (ASMM) and its associated index (ASMI) ¹.
The algorithm previously in use remains applicable for individuals up to 65 years of age ².
¹ Sergi G et al. Assessing appendicular skeletal muscle mass with bioelectrical impedance analysis in free-living Caucasian older adults. Clin Nutr. 2015;34(4):667-73.
² Kyle UG et al. Validation of a bioelectrical impedance analysis equation to predict appendicular skeletal muscle mass (ASMM). Clin Nutr. 2003;22(6):537-43.
With the devices developed by Aminogram, provide personalized and precise monitoring for better care and to ensure a peaceful aging process.
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