Trends and disparities in deep brain stimulation utilization in the United States: a Nationwide Inpatient Sample analysis from 1993 to 2017

Sarica, Can; Conner, Christopher R.; Yamamoto, Kazuaki; Yang, Andrew; Germann, Jürgen; Lannon, Melissa M.; Samuel, Nardin; Colditz, Michael; Santyr, Brendan; Chow, Clement T.; Iorio-Morin, Christian; Aguirre-Padilla, David H.; Lang, Stefan Thomas; Vetkas, Artur; Cheyuo, Cletus; Loh, Aaron; Darmani, Ghazaleh; Flouty, Oliver; Milano, Vanessa; Paff, Michelle; Hodaie, Mojgan; Kalia, Suneil K.; Munhoz, Renato P.; Fasano, Alfonso; Lozano, Andres M.

doi:10.1016/j.lana.2023.100599

Cited by 6 publications

(9 citation statements)

References 35 publications

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“…It became the increasingly popular since STN-DBS proved effective at controlling motor symptoms [ 16 ], and then even more common after its FDA approval in 2002. The rise in use began to wane at 2008 but then went up again in 2009 after studies demonstrated that it was superior when treating motor symptoms in advanced PD [ 17 ].…”

Section: Deep Brain Stimulation (Dbs)mentioning

confidence: 99%

Emerging therapies for neuromodulation in Parkinson's disease

Martinez-Nunez,

Justich,

Okun

et al. 2024

Neurotherapeutics

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Section: Deep Brain Stimulation (Dbs)mentioning

confidence: 99%

Emerging therapies for neuromodulation in Parkinson's disease

Martinez-Nunez,

Justich,

Okun

et al. 2024

Neurotherapeutics

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“…Importantly, algorithm performance varies by participant PSD, and we introduce a novel monopolar sensing montage that improves LFP resolution of beta peak classi cation and clinical interpretability. In light of global and socioeconomic disparities in DBS access 39,40 , our work could advance towards a streamlined, objective beta peak detection algorithm for identifying optimal contact con gurations and stimulation parameters with greater feasibility and with less exhaustive programming guided intervention.…”

Section: Introductionmentioning

confidence: 99%

Towards an objective, standardized beta frequency peak detection algorithm to inform adaptive deep brain stimulation programming in Parkinson’s disease

Thompson,

Baker,

Radcliffe

et al. 2024

Preprint

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Oscillatory activity within the beta frequency range (13-30Hz) serves as a Parkinson’s disease biomarker for tailoring deep brain stimulation (DBS) treatments. Currently, identifying clinically relevant beta signals, specifically frequencies of peak amplitudes within the beta spectral band, is a subjective process. To inform potential strategies for objective clinical decision making, we assessed algorithms for identifying beta peaks and devised a standardized approach for both research and clinical applications. Employing a novel monopolar referencing strategy, we utilized a brain sensing device to measure beta peak power across distinct contacts along each DBS electrode implanted in the subthalamic nucleus. We then evaluated the accuracy of ten beta peak detection algorithms, both existing and new, against a benchmark established by expert consensus. The most accurate algorithms matched the expert consensus in performance and reliably predicted the clinical stimulation parameters during follow-up visits. These findings highlight the potential of algorithmic solutions to overcome the subjective bias in beta peak identification, presenting viable options for standardizing this process. Such advancements could lead to significant improvements in the efficiency and accuracy of patient-specific DBS therapy parameterization.

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“…These steps are also areas to target with interventions to reduce disparities. Previous studies have shown differences in patient access to DBS based on race, socioeconomic status, and gender [6][7][8][9][10][11][12][13][14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Disparities in Access to Deep Brain Stimulation for Parkinson’s Disease and Proposed Interventions: A Literature Review

Bishay,

Hughes,

Zargari

et al. 2024

Stereotact Funct Neurosurg

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Background: Deep brain stimulation (DBS) is an effective therapy for Parkinson’s disease (PD), but disparities exist in access to DBS along gender, racial, and socioeconomic lines. Summary: Women are underrepresented in clinical trials and less likely to undergo DBS compared to their male counterparts. Racial and ethnic minorities are also less likely to undergo DBS procedures, even when controlling for disease severity and other demographic factors. These disparities can have significant impacts on patients’ access to care, quality of life, and ability to manage their debilitating movement disorders. Key Messages: Addressing these disparities requires increasing patient awareness and education, minimizing barriers to equitable access, and implementing diversity and inclusion initiatives within the healthcare system. In this systematic review, we first review literature discussing gender, racial, and socioeconomic disparities in DBS access and then propose several patient, provider, community, and national-level interventions to improve DBS access for all populations.

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Trends and disparities in deep brain stimulation utilization in the United States: a Nationwide Inpatient Sample analysis from 1993 to 2017

Cited by 6 publications

References 35 publications

Emerging therapies for neuromodulation in Parkinson's disease

Emerging therapies for neuromodulation in Parkinson's disease

Towards an objective, standardized beta frequency peak detection algorithm to inform adaptive deep brain stimulation programming in Parkinson’s disease

Disparities in Access to Deep Brain Stimulation for Parkinson’s Disease and Proposed Interventions: A Literature Review

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