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Updated: May 15, 2025

Controlling Parkinson's Disease With Adaptive Deep Brain Stimulation
Published on: July 16, 2014
Real-world disease burden and planned treatment optimization after MANAGE-PD implementation in Germany: a
Martin Südmeyer1,2, David J Pedrosa3, Frank Siebecker4
1Department of Neurology, Ernst-Von-Bergmann Klinikum, Charlottenstr. 72, 14467, Potsdam, Germany. martin.suedmeyer@klinikumevb.de.
Background:
In Germany, the approach to treatment optimization for patients with advanced Parkinson's disease (PD) is considered somewhat conservative. The MANAGE-PD tool ( www.managepd.eu ) was developed to help identify patients with advanced PD and to facilitate treatment decision making and appropriate allocation of patients to device-aided therapies (DAT). This prospective, non-interventional study aimed to investigate the real-world disease burden of PD and treatment optimization after MANAGE-PD implementation.
Methods:
Adult PD patients (N = 278) visited specialist clinics and neurologist's practices in Germany in 2022. Disease burden was assessed using the Unified PD rating scale (UPDRS parts II-IV), the non-motor symptoms scale (NMSS) and the 8-item Parkinson's disease Questionnaire (PDQ-8). Data on planned treatment changes were collected. Data were analyzed by disease control categories according to the MANAGE-PD tool.
Results:
Mean scores for motor and non-motor symptoms, quality of life, and comorbidity burden were worse in patients with lower disease control measured by MANAGE-PD. For 52.8% of patients in Category 2 (inadequately controlled-might benefit from oral optimization), no change in oral treatment was planned. No change in oral treatment and no DAT initiation was planned for 37.9% and 65.0% of patients in Category 3 (inadequately controlled-might benefit from DAT). Patient refusal and needing more time to decide were the most common reasons for not making treatment changes.
Conclusions:
This study supports the validity of MANAGE-PD by showing its high association with disease burden and emphasizes the importance of timely provision of necessary information to enable informed decisions about treatment optimization.
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