Predictive models of sarcopenia in patients with chronic liver disease: A cross-sectional study

Abstract

Abstract Background: Timely identification of the sarcopenia risk and delaying the progression in patients with chronic liver disease is important. Objectives: This study aimed to investigate the risk and incidence of sarcopenia, explore the factors affecting it, and develop predictive models of sarcopenia in patients with chronic liver disease. Methods: A cross-sectional survey was conducted on patients with chronic liver disease at a Chinese teaching hospital from September 2020 to December 2021. Results: In total, 484 cases were qualified. Among them, there were 145 (30.0%) patients with sarcopenia risk, while the incidence of sarcopenia and severe sarcopenia was 88 (18.2%) and 73 (15.1%) patients, respectively. The predictive ability of the three models in the derivation cohort was satisfactory. Conclusions: Patients with chronic liver disease are at a high risk of developing sarcopenia. Three predictive models for sarcopenia have been established. Registration: We completed clinical registration on the Chinese Clinical Trial Registration website (ChiCTR2100043910, 05/03/2021).