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Maximal Analgesic Effect Attained by the Use of Objective Neurophysiological Measurements With Closed-Loop Spinal
Robert M Levy1, Nagy A Mekhail2, Leonardo Kapural3
1Neurosurgical Services, Clinical Research, Anesthesia Pain Care Consultants, Tamarac, FL, USA.
Neuromodulation : Journal of the International Neuromodulation Society
|September 10, 2024
Summary
This study introduces an evidence-based neural dose regimen for spinal cord stimulation (SCS), optimizing pain management. A closed-loop system achieved significant pain reduction and improved function in chronic pain patients.
Area of Science:
- Neuroscience
- Biomedical Engineering
- Pain Management
Background:
- Spinal cord stimulation (SCS) therapy optimization is hindered by a lack of neurophysiologic data.
- Current trial-and-error programming leads to suboptimal and variable therapeutic outcomes.
Purpose of the Study:
- To identify neurophysiologic dose metrics and their optimal ranges for spinal cord stimulation.
- To establish an evidence-based regimen for optimizing SCS clinical benefit.
Main Methods:
- Analysis of physiologic metrics from 180 subjects across 3 clinical studies with severe chronic pain.
- Maximal analgesic effect (MAE) defined by pain reduction or cumulative responder score (MCIDs) within 3 months post-SCS implant.
Main Results:
- A neural dose regimen with high accuracy (2.8μV) and dose ratio (1.4) yielded significant pain reduction (79±1%) and MCIDs (12.5±0.4).
- No significant differences in MAE or neurophysiological dose metrics were found between trial and post-implant phases.
Conclusions:
- An evidence-based neural dose regimen is now available for neurostimulation interventions.
- This regimen facilitates optimization of clinical benefit, adherence monitoring, and therapy management.
Keywords:
Maximal analgesic effectneurophysiologic dose metricsphysiologic closed-loop feedback mechanismspinal cord stimulationtherapy optimization
