SCIENTIFIC HUB

Follow the evidence.

SCIENTIFIC LITERATURE · MED

Management of deep brain stimulator battery failure: battery estimators, charge density, and importance of clinical symptoms.

PLoS One · 2013-03-11

DOI: 10.1371/journal.pone.0058665PMID: 23536810

Open accessResearch Support, Non-U.S. Gov't; research-article; Journal ArticleOriginal source ↗

Research overview

The text below is the source article’s original abstract under a verified reuse license. cc by

ObjectiveWe 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.BackgroundPreviously our group developed web-based calculators and smart phone applications to estimate DBS battery life (http://mdc.mbi.ufl.edu/surgery/dbs-battery-estimator).MethodsA 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).ResultsThe mean charge density for treatment of Parkinson's disease was 7.2 µC/cm(2)/phase (SD = 3.82), for dystonia was 17.5 µC/cm(2)/phase (SD = 8.53), for essential tremor was 8.3 µC/cm(2)/phase (SD = 4.85), and for OCD was 18.0 µC/cm(2)/phase (SD = 4.35). There was a significant relationship between charge density and battery life (r = -.59, pConclusionsBattery 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.

Scientific assessment

01

Research question

Assess the question within the original study’s scope.

02

Methods & sample

Check the source article for study design and sample details.

03

Key findings

An editorially approved findings summary is not yet published for this record.

04

Limitations

Generalizability, bias and clinical meaning require separate assessment.

Methods, samples and clinical conclusions are not inferred from bibliographic metadata.