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The Use of Digital Tools for Parkinson’s Phenotype Stratification to Improve Patients’ Selection for Advanced Therapies

T. Diven, S. Lane, K. Muhammed, L. Agley, R. Ellis, J. Pannicker, J. Osman-Farah, A. Macerollo (Liverpool, United Kingdom)

Meeting: 2026 International Congress

Keywords: Deep brain stimulation (DBS), Parkinson’s

Category: Parkinson's Disease: Epidemiology, Phenomenology, Clinical Assessment, Rating Scales

Objective: Leveraging multimodal patient data to identify distinct multidimensional subtypes of Parkinson’s Disease and improve patient selection for appropriate advanced therapies.

Background: The management of Parkinson’s condition is becoming increasingly complex and demanding as the ageing population rises. The NHSE10 Year Health Plan has highlighted the access to a core specialist multidisciplinary team as a priority for people with Parkinson’s (PwP). This is of particular importance for patients on advance therapies.  The significant potential of shifting from analogue to digital methods can transform Parkinson’s care from fragmented and sparse access to more personalised and accessible clinical care (Darzi shifts).

Method: The study aims to explore the use of a smartphone-based monitoring platform, a digital tool developed to perform phenotype-based stratification for the selection of patients to appropriate treatment strategies, with a particular focus on Deep Brain Stimulation (DBS). The clinical-facing digital platform combines continuous quantitative and qualitative data on several motor and non-motor symptoms of Parkinson’s.

Results: 107 PwP were enrolled in using the digital tool at the Walton Centre NHS Foundation Trust, Liverpool, UK. However, only 47 were regularly using the tool.  Principal component analysis and clustering analysis has been developed on these 47 PwP. Interpretation of within- and between-cluster patterns captured heterogeneity in phenotypes and treatments’ response. The digital approach showed promising application in improving the identification of PwP suitable for DBS with complementary role to the levodopa challenge.

Conclusion: Overall, the use of digital tools are key instruments to produce multidimensional subtypes of Parkinson’s in real-world clinical practice and, thus, to direct patients towards the most appropriate therapeutic route.

To cite this abstract in AMA style:

T. Diven, S. Lane, K. Muhammed, L. Agley, R. Ellis, J. Pannicker, J. Osman-Farah, A. Macerollo. The Use of Digital Tools for Parkinson’s Phenotype Stratification to Improve Patients’ Selection for Advanced Therapies [abstract]. Mov Disord. 2026; 41 (suppl 1). https://www.mdsabstracts.org/abstract/the-use-of-digital-tools-for-parkinsons-phenotype-stratification-to-improve-patients-selection-for-advanced-therapies/. Accessed October 1, 2026.
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