Dynamic Nomogram for Predicting the Fall Risk of Stroke Patients: An Observational Study
Independent fall risk factors in stroke patients are age, had a fall history within the last 3 months, anxiety, and with the BBS score below 40 during rehabilitation. The dynamic nomogram prediction model for stroke patients during rehabilitation has good differentiation, calibration, and clinical utility. The prediction model is simple and practical.
Authors
- Bijiao Xie
- Yao Yu Wu (ORCID: https://orcid.org/0000-0002-8105-0522)
- Xinjun Jiang (ORCID: https://orcid.org/0000-0002-6515-5180)
- Daqing Wang (ORCID: https://orcid.org/0000-0002-7134-3065)
- Hai Sun (ORCID: https://orcid.org/0000-0001-8878-8776)
- Shaoying Tan (ORCID: https://orcid.org/0000-0001-9997-7396)
- Tao Wang (ORCID: https://orcid.org/0000-0001-5982-6825)
- Yong Chai
- Ling Xu
Institutions
- Foshan University (CN)
- Leshan Normal University (CN)
- Second People’s Hospital of Yibin (CN)
- Hainan Medical University (CN)
Publication Details
- Journal
- Clinical Interventions in Aging
- Published
- 2025-02-01
- DOI
- https://doi.org/10.2147/cia.s486252
- Primary Topic
- Stroke Rehabilitation and Recovery
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China