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Handgrip strength conditional tolerance regions suggest the need for personalized sarcopenia definition: an analysis
Marcos Matabuena1, Pedro Pugliesi Abdalla2, Dalmo Roberto Lopes Machado2
1Centro de Investigación en Tecnoloxías da Información (CiTIUS), Universidade de Santiago de Compostela, Santiago de Compostela, Spain. marcos.matabuena@usc.es.
Background:
Handgrip strength (HGS) is a well-established clinical biomarker that assesses functional capacity in older populations. In addition, HGS is a diagnostic tool that forecasts aging health conditions, such as sarcopenia.
Aims:
This paper provides HGS statistical tolerance regions and presents the need to establish HGS reference values according to patients' characteristics.
Methods:
For this purpose, we used a conditional tolerance algorithm for HGS, and we observed the tolerances regions in different age strata and sex of non-sarcopenic individuals from the National Health and Nutrition Examination Survey (NHANES, wave 2011-2012).
Results And Discussion:
Our results have critical implications for sarcopenia, since conventional and available HGS cut-offs do not consider age range.
Conclusions:
This paper offers new perspectives on the evolution of traditional definitions of sarcopenia according to the principles of precision medicine.
