Understanding Bone Health in Parkinson’s Disease
Parkinson’s disease (PD) increases the chances of falling and developing osteoporosis, which raises the risk of fractures. Recent guidelines suggest that those with PD should undergo a risk assessment, like the FRAX tool, but current treatment pathways are not very effective. To improve this, we created a specific algorithm for assessing and managing bone health in PD patients.
Research Overview
In the PRIME-UK RCT study, we collected data on bone health from 182 participants (average age 73.8 years, 65% male, average disease duration of 5 years). We found that:
- 28% had a history of fragility fractures.
- 40.7% experienced recurrent falls in the past year.
- 28.6% had a major osteoporotic fracture risk above recommended intervention thresholds.
- 12.1% had low bone mineral density.
Adjusting the FRAX tool results based on specific bone density measurements helped re-evaluate fracture risks, leading to changes in treatment recommendations for some patients.
Proposed Solutions
Measurable Outcomes
We aim to set clear goals for clinics and patients regarding bone health and fracture risk management in PD.
AI Tools for Clinical Needs
Explore AI solutions that can help specifically with assessing and managing bone health in PD patients.
Implementation Strategy
Start with a pilot project to implement these findings, track the results, and expand based on the impact seen in real-world scenarios.
Contact Us for AI Solutions in Medical Management
For more information, please reach out through:
- Telegram: https://t.me/itinai
- X: https://x.com/vlruso
- LinkedIn: https://www.linkedin.com/company/itinai/
