Matabuena Marcos, Abdalla Pedro Pugliesi, Machado Dalmo Roberto Lopes, Bohn Lucimere, Mota Jorge
Centro de Investigación en Tecnoloxías da Información (CiTIUS), Universidade de Santiago de Compostela, Santiago de Compostela, Spain.
Study and Research Group in Anthropometry, Training, and Sport (GEPETE), School of Physical Education and Sport of Ribeirão Preto, University of São Paulo, Ribeirão Preto, São Paulo, Brazil.
Aging Clin Exp Res. 2023 Jun;35(6):1369-1373. doi: 10.1007/s40520-023-02398-8. Epub 2023 Apr 4.
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.
This paper provides HGS statistical tolerance regions and presents the need to establish HGS reference values according to patients' characteristics.
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).
Our results have critical implications for sarcopenia, since conventional and available HGS cut-offs do not consider age range.
This paper offers new perspectives on the evolution of traditional definitions of sarcopenia according to the principles of precision medicine.
握力(HGS)是一种成熟的临床生物标志物,可用于评估老年人群的功能能力。此外,HGS 还是一种可预测肌肉减少症等老龄化健康状况的诊断工具。
本文提供了 HGS 的统计容忍区间,并提出了根据患者特征建立 HGS 参考值的必要性。
为此,我们使用了 HGS 的条件容忍算法,并观察了来自国家健康和营养检查调查(NHANES,2011-2012 年波)的非肌肉减少症个体在不同年龄层次和性别的容忍区间。
我们的结果对肌肉减少症具有重要意义,因为传统和现有的 HGS 截止值不考虑年龄范围。
本文根据精准医学的原则,为传统肌肉减少症定义的演变提供了新的视角。