Dynamic frailty risk prediction in elderly hip replacement: a deep learning approach to personalized rehabilitation.

ABSTRACT:

Background

Osteoarthritis and related degenerative conditions in the elderly often necessitate hip replacement surgery. Frailty is common in this population and significantly increases the risk of postoperative complications and delayed recovery. Accurate prediction of postoperative frailty risk and its temporal progression is essential for guiding personalized rehabilitation strategies.

Methods

This study prospectively included 647 patients aged 60 years or older who underwent hip replacement surgery at the Affiliated Hospital of Shanxi Medical University between June 2021 and December 2023. Clinical, biochemical, demographic, and surgical data were collected at preoperative and postoperative stages. To mitigate sample size limitations, data augmentation was applied, expand

SUBMITTER: Lv X 

PROVIDER: S-EPMC12330151 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature