Prevalence of distinct types of hardware failures related to deep brain stimulation
- PMID: 34665369
- DOI: 10.1007/s10143-021-01673-4
Prevalence of distinct types of hardware failures related to deep brain stimulation
Abstract
Deep brain stimulation (DBS) is an effective treatment of several types of neurological conditions, including Parkinson's disease, essential tremor, dystonia, and epilepsy. Despite technological progress in the past 10 years, the number of studies reporting side effects of DBS has increased, mainly due to hardware failures. This review investigated studies published between 2017 and 2021 to identify the prevalence of distinct types of hardware failures related to DBS. In total, fifteen studies were selected for the estimate of the prevalence of five distinct types of hardware failures: high impedance, fracture or failure of the lead or other parts of the implant, skin erosion and infection, lead malposition or migration, and implantable pulse generator (IPG) malfunction. The quality evaluation of the studies suggests a need to report results including populations from distinct regions of the world so that results can be generalized. The objective analysis of the prevalence of hardware failures showed that skin erosion and infection presented the highest prevalence in relation to other hardware failures. Despite the sophistication of the surgical technique of DBS over time, there is a considerable complication rate, about 7 per 100 individuals ([Formula: see text], in which CI is the confidence interval). Future research can also include correlation analysis with the aim of understanding the correlation between distinct hardware failures and variables such as gender, type of disorder, and age.
Keywords: Deep brain stimulation; Hardware failures; Meta-analysis.
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
References
-
- Abode-Iyamah KO, Chiang H-Y, Woodroffe RW, Park B, Jareczek FJ, Nagahama Y, Winslow N, Herwaldt LA, Greenlee JDW (2019) Deep brain stimulation hardware–related infections: 10-year experience at a single institution. J Neurosurg 130:629–638. https://doi.org/10.3171/2017.9.JNS1780 - DOI
-
- Akova M (2016) Epidemiology of antimicrobial resistance in bloodstream infections. Virulence 7:252. https://doi.org/10.1080/21505594.2016.1159366 - DOI - PubMed - PMC
-
- Ali HAM, Abdullah SS, Faraj MK (2021) High impedance analysis in recordings of deep brain stimulation surgery. Interdiscip Neurosurg 24:101115. https://doi.org/10.1016/j.inat.2021.101115 - DOI
-
- Bjerknes S, Skogseid IM, Sæhle T, Dietrichs E, Toft M (2014) Surgical site infections after deep brain stimulation surgery: frequency, characteristics and management in a 10-year period. PLoS ONE 9:e105288. https://doi.org/10.1371/JOURNAL.PONE.0105288 - DOI - PubMed - PMC
-
- Brooks A, Hoyt AT (2021) Single-stage deep brain stimulator placement for movement disorders: a case series. Brain Sci 11:592. https://doi.org/10.3390/brainsci11050592 - DOI - PubMed - PMC
Publication types
MeSH terms
Grants and funding
- 304818/2018-6/conselho nacional de desenvolvimento científico e tecnológico
- 58524/2020-9/conselho nacional de desenvolvimento científico e tecnológico
- 304533/2020-3/conselho nacional de desenvolvimento científico e tecnológico
- 310911/2017-6/national council for scientific and technological development (cnpq)
- CAPES/DFATD-88887.159028/2017-00/coordenação de aperfeiçoamento de pessoal de nível superior
LinkOut - more resources
Full Text Sources
Medical
Miscellaneous
