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Spinal cord stimulator adjustment to maximize implanted battery longevity: a randomized, controlled trial using a

Richard B North¹, David D Brigham, Alexander Khalessi

¹Departments of Neurosurgery, Anesthesiology and Critical Care Medicine, Johns Hopkins University, Baltimore, Maryland; Stimsoft, Inc., Columbia, Maryland; The Center for Pain Management, LLC, Baltimore, Maryland; Department of Neurosurgery, Thomas Jefferson University, Philadelphia, Pennsylvania; Department of Biostatistics, Johns Hopkins University, Baltimore, Maryland; Department of Public Health & Epidemiology, University of Birmingham, United Kingdom.

Neuromodulation : Journal of the International Neuromodulation Society

|December 14, 2011

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This summary is machine-generated.

A new computerized system for implanted pulse generators (IPGs) significantly extends battery life for spinal cord stimulation patients. This technology optimizes settings, delaying costly surgical replacements and improving pain management.

Area of Science:

Biomedical Engineering
Neurosurgery
Pain Management

Background:

Internally powered, implanted pulse generators (IPGs) are crucial for spinal cord stimulation (SCS) in pain management.
IPG battery depletion necessitates surgical replacement, incurring costs and risks.
Current programming methods do not optimize settings for maximal battery longevity.

Purpose of the Study:

To develop and evaluate a patient-interactive, computerized programmer for IPGs.
To optimize IPG settings for extended battery life and improved pain management.
To compare the novel system against standard manual programming methods.

Main Methods:

Development of a user-friendly, computerized programmer with advanced data management.
Implementation of algorithms to analyze and sort settings for optimal battery life and technical results.

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A randomized, controlled trial involving 44 patients comparing the computerized system with manual programming.

Main Results:

The computerized system identified improved settings in 95% of patients, increasing estimated battery life by an average of 29.6 months (2.2-fold improvement).
72% of patients achieved equal or superior pain coverage with enhanced battery longevity.
Estimated cost savings averaged over one-third, with significant improvements in technical results (p < 0.0001).

Conclusions:

Computerized, patient-interactive programming effectively optimizes IPG battery life for spinal cord stimulation.
This technology offers significant potential for extending implanted battery longevity and reducing healthcare costs.
Further long-term follow-up is needed to quantify the full impact of these savings.