Management of Deep Brain Stimulator Battery Failure: Battery Estimators, Charge Density, and Importance of Clinical Symptoms
Open Access
- 11 March 2013
- journal article
- research article
- Published by Public Library of Science (PLoS) in PLOS ONE
- Vol. 8 (3), e58665
- https://doi.org/10.1371/journal.pone.0058665
Abstract
We aimed in this investigation to study deep brain stimulation (DBS) battery drain with special attention directed toward patient symptoms prior to and following battery replacement. Previously our group developed web-based calculators and smart phone applications to estimate DBS battery life (http://mdc.mbi.ufl.edu/surgery/dbs-battery-estimator). A cohort of 320 patients undergoing DBS battery replacement from 2002–2012 were included in an IRB approved study. Statistical analysis was performed using SPSS 20.0 (IBM, Armonk, NY). The mean charge density for treatment of Parkinson’s disease was 7.2 µC/cm2/phase (SD = 3.82), for dystonia was 17.5 µC/cm2/phase (SD = 8.53), for essential tremor was 8.3 µC/cm2/phase (SD = 4.85), and for OCD was 18.0 µC/cm2/phase (SD = 4.35). There was a significant relationship between charge density and battery life (r = −.59, p<.001), as well as total power and battery life (r = −.64, p<.001). The UF estimator (r = .67, p<.001) and the Medtronic helpline (r = .74, p<.001) predictions of battery life were significantly positively associated with actual battery life. Battery status indicators on Soletra and Kinetra were poor predictors of battery life. In 38 cases, the symptoms improved following a battery change, suggesting that the neurostimulator was likely responsible for symptom worsening. For these cases, both the UF estimator and the Medtronic helpline were significantly correlated with battery life (r = .65 and r = .70, respectively, both p<.001). Battery estimations, charge density, total power and clinical symptoms were important factors. The observation of clinical worsening that was rescued following neurostimulator replacement reinforces the notion that changes in clinical symptoms can be associated with battery drain.Keywords
This publication has 14 references indexed in Scilit:
- An Algorithm for Management of Deep Brain Stimulation Battery Replacements: Devising a Web-Based Battery Estimator and Clinical Symptom ApproachNeuromodulation: Technology at the Neural Interface, 2013
- Rebound symptoms following battery depletion in the NIH OCD DBS cohort: Clinical and reimbursement issuesBrain Stimulation, 2012
- Worsening essential tremor following deep brain stimulation: disease progression versus toleranceBrain, 2012
- Battery lifetime in pallidal deep brain stimulation for dystoniaEuropean Journal of Neurology, 2010
- Deep Brain Stimulation: Technology at the Cutting EdgeJournal of Clinical Neurology, 2010
- Differences among implanted pulse generator waveforms cause variations in the neural response to deep brain stimulationClinical Neurophysiology, 2007
- Predictors of battery life for the Activa® Soletra 7426 NeurostimulatorParkinsonism & Related Disorders, 2007
- Sources and effects of electrode impedance during deep brain stimulationClinical Neurophysiology, 2005
- Tissue and electrode capacitance reduce neural activation volumes during deep brain stimulationClinical Neurophysiology, 2005
- Sudden failure of dual channel pulse generatorsMovement Disorders, 2004