Construction and verification of a nomogram to estimate middle-aged and older individuals' susceptibility to sarcopenia.

ABSTRACT:

Background

Sarcopenia raises the risk of falls, fractures, and death, in addition to having a direct impact on the form and function of the skeletal muscles. Thus, our research aimed to create and evaluate a nomogram indicating the probability that middle-aged and older adults may acquire sarcopenia.

Methods

In this study, data from the National Health and Nutrition Examination Survey covering 2011 to 2018 were split randomly into training and validation datasets. We then used univariate and multivariate logistic regression analysis to create a nomogram prediction model. The model's accuracy was measured using calibration curves, and its clinical applicability and discriminatory power were evaluated using receiver operating characteristic curves and decision curve analysis.<

SUBMITTER: Yang X 

PROVIDER: S-EPMC12541980 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature