Prediction of STN DBS Motor Response in PD
NCT04093908 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 322
Last updated 2020-09-01
Summary
Despite careful patient selection for subthalamic nucleus deep brain stimulation (STN DBS), some Parkinson's disease (PD) patients show limited improvement of motor disability. Non-conclusive results and the lack of a practical implantable prediction algorithm from previous prediction studies maintain the need for a simple tool for neurologists that provides a reliable prediction on postoperative motor improvement for individual patients.
In this study, a prior developed prediction model for motor response after STN DBS in PD patients is validated. The model generates individual probabilities for becoming a weak responder one year after surgery. The model will be validated in a validation cohort collected from several international centers.
The predictive model is made public accessible before data collection on: https://github.com/jgvhabets/DBSPREDICT
Conditions
- Parkinson Disease
Interventions
- OTHER
-
Prediction of motor outcome after STN DBS based on preoperative variables
Generating individual probabilities for motor response based on preoperative variables
Sponsors & Collaborators
-
Maastricht University Medical Center
lead OTHER
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2019-08-01
- Primary Completion
- 2019-12-17
- Completion
- 2019-12-17
Countries
- Netherlands
Study Locations
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