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<p>Remote, internet-based deep brain stimulation programming for Parkinson’s disease accelerates clinical benefits postoperatively by improving access to therapy adjustments compared to in-clinic optimization. After completion of the initial digital programming phase, we show that clinical outcomes, quality of life, and safety remain sustained over at least twelve months under routine care conditions. Embedding a randomized trial within a larger cohort study enables long-term, real-world evaluation, offering a scalable and pragmatic model for assessing complex digital interventions in routine clinical care. (NCT05269862 registered on 2022-03-08 and NCT04071847 registered on 2019-08-28).</p>

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Real-world multicenter assessment of sustained clinical outcomes after digital deep brain stimulation

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年1月14日

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  • Alireza Gharabaghi,
  • Sergiu Groppa,
  • Elena Casas,
  • Alfons Schnitzler,
  • Laura Muñoz-Delgado,
  • Vicky L. Marshall,
  • Jessica Karl,
  • Lin Zhang,
  • Ramiro Alvarez,
  • Mary S. Feldman,
  • Michael J. Soileau,
  • Lan Luo,
  • Benjamin L. Walter,
  • Chengyuan Wu,
  • Hong Lei,
  • Damian M. Herz,
  • Devyani Nanduri,
  • Claudia A. Salazar,
  • Corneliu Luca,
  • Daniel Weiss

摘要

Remote, internet-based deep brain stimulation programming for Parkinson’s disease accelerates clinical benefits postoperatively by improving access to therapy adjustments compared to in-clinic optimization. After completion of the initial digital programming phase, we show that clinical outcomes, quality of life, and safety remain sustained over at least twelve months under routine care conditions. Embedding a randomized trial within a larger cohort study enables long-term, real-world evaluation, offering a scalable and pragmatic model for assessing complex digital interventions in routine clinical care. (NCT05269862 registered on 2022-03-08 and NCT04071847 registered on 2019-08-28).