Skip to content
Open access · US-GOV via ClinicalTrials.gov Clinical trial

Applications of Ultrasound and Physical Parameters in Assessing Fall Risk Among Patients With Knee Osteoarthritis: A Prospective Cohort Study

Authors not listed

National Taiwan University Clinical Trial Center · 2025

Abstract

Falls are a significant issue for patients with knee osteoarthritis, as they can lead to hospitalization or even more severe consequences. Therefore, it is crucial to assess fall risk early in rehabilitation clinics. Sarcopenia, which is the reduction of muscle mass, increases the risk of falls. This study involved 250 adults with knee osteoarthritis, using a technology called POCUS to assess muscle mass, combined with other tests to track fall incidents over three months. The study is expected to find correlations between falls and factors like muscle mass and grip strength. This information can help doctors better predict which patients are at risk of falling and take preventive measures early. Future research will explore the effectiveness of different prevention strategies.

◌ CITATION ONLY
Full text is not openly licensed for redistribution here. Read it at the source:

Read at source →

Provenance

Source
ClinicalTrials.gov
Canonical
link ↗
Fetched
2026-10-18 MST

Cite this

APA
Anonymous. (2025). Applications of Ultrasound and Physical Parameters in Assessing Fall Risk Among Patients With Knee Osteoarthritis: A Prospective Cohort Study. <em>National Taiwan University Clinical Trial Center</em>. https://clinicaltrials.gov/study/NCT06882928
Vancouver
Anonymous. Applications of Ultrasound and Physical Parameters in Assessing Fall Risk Among Patients With Knee Osteoarthritis: A Prospective Cohort Study. National Taiwan University Clinical Trial Center. 2025.
BibTeX
@misc{anon2025Applic, title = {Applications of Ultrasound and Physical Parameters in Assessing Fall Risk Among Patients With Knee Osteoarthritis: A Prospective Cohort Study}, author = {Anonymous}, journal = {National Taiwan University Clinical Trial Center}, year = {2025}, }

Research neighborhood

References, citing works, and semantically nearest findings. Click a node to open it.

Related findings