Modeling and validation in Parkinson’s disease patients with frailty
Frailty in PD was associated with female sex, older age, alcohol use, and more advanced disease severity. Patients with PD and frailty exhibited higher MDS-UPDRS scores, more severe cognitive impairment, and greater levels of depression and anxiety. Integrating clinical data with machine learning, especially logistic regression, provides a reliable and scalable tool for early identification and risk stratification of frailty in PD.
Authors
- Fengju Mao
- Guo‐Yang Li (ORCID: https://orcid.org/0000-0002-5939-9293)
- Wenli Zhang (ORCID: https://orcid.org/0000-0001-5899-0228)
- Hong Yu Guo (ORCID: https://orcid.org/0000-0002-5658-2244)
- Xiaoguang Luo (ORCID: https://orcid.org/0000-0001-9828-0626)
- Jing Huang (ORCID: https://orcid.org/0009-0007-5194-9960)
Institutions
- Jinan University (CN)
- Southern University of Science and Technology (CN)
- ShenZhen People’s Hospital (CN)
- Shenzhen Second People's Hospital (CN)
Publication Details
- Journal
- Frontiers in Neuroscience
- Published
- 2025-12-08
- DOI
- https://doi.org/10.3389/fnins.2025.1723707
- Primary Topic
- Parkinson's Disease Mechanisms and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00