Related Experiment Videos
Automated, patient-interactive, spinal cord stimulator adjustment: a randomized controlled trial
Richard B North1, Sherri-Kae Calkins, David S Campbell
1Department of Neurosurgery, Johns Hopkins University, Baltimore, Maryland 21287-7713, USA. RNorth@jhni.edu
Neurosurgery
|February 20, 2003
Summary
An automated, patient-interactive system for spinal cord stimulator adjustment significantly improves pain coverage and programming efficiency compared to manual methods. This technology enhances clinical efficacy and offers potential cost savings for chronic pain management.
Area of Science:
- Neuromodulation
- Biomedical Engineering
- Pain Management
Background:
- Programmable, multicontact implanted devices are crucial for spinal cord stimulation (SCS) in pain management.
- Optimizing SCS requires efficient adjustment of stimulation parameters to achieve desired paresthesia coverage.
- Current manual programming methods are time-consuming and labor-intensive for practitioners.
Purpose of the Study:
- To develop and evaluate a patient-interactive computerized system for SCS device adjustment.
- To compare the efficacy and efficiency of the automated system against traditional manual programming.
- To maximize pain coverage while optimizing practitioner time.
Main Methods:
- A randomized controlled trial involving 44 patients at two study centers was conducted.
- An automated, patient-interactive system was developed for ease of operation and safety.
- The system presented programmed settings to patients for amplitude adjustment and paresthesia mapping, with subsequent analysis of test results.
Main Results:
- The automated system achieved significantly better pain coverage (70 vs. 46 on VAS, P < 0.0001).
- Programming efficiency was significantly higher with the automated system (0.73 vs. 0.49 settings/min, P < 0.0001).
- The automated system identified settings for improved battery life, and no complications were observed.
Conclusions:
- Automated, patient-interactive SCS adjustment is more effective and efficient than manual methods.
- This approach offers improved clinical efficacy, potential cost savings, and enhanced standardization for research and patient care.
- The system is expected to advance the clinical application of SCS for chronic intractable pain.