Predictive modeling to uncover Parkinson’s disease characteristics that delay diagnosis
PD patients present with diverse symptoms, complicating timely diagnosis. We analyzed 1124 PD trajectories using a novel model-based approach to estimate whether diagnosis was early or late compared to cohort averages. Higher age, specific non-motor symptoms, and fast disease progression were linked to later diagnosis, while gait impairment led to earlier diagnosis. Our findings are in line with a biological definition of PD that extends beyond classical motor symptoms.
Authors
- Jean‐Christophe Corvol (ORCID: https://orcid.org/0000-0001-7325-0199)
- Tom Hähnel (ORCID: https://orcid.org/0000-0002-4254-2399)
- Tamara Raschka (ORCID: https://orcid.org/0000-0003-2332-6137)
- Holger Fröhlich (ORCID: https://orcid.org/0000-0002-5328-1243)
- Björn Falkenburger (ORCID: https://orcid.org/0000-0002-2387-526X)
- Enrico Glaab (ORCID: https://orcid.org/0000-0003-3977-7469)
- Jochen Klucken (ORCID: https://orcid.org/0000-0001-6645-9437)
Institutions
- Centre National de la Recherche Scientifique (FR)
- University of Bonn (DE)
- Inserm (FR)
- University of Luxembourg (LU)
- German Center for Neurodegenerative Diseases (DE)
- Sorbonne Université (FR)
- Assistance Publique – Hôpitaux de Paris (FR)
- Fraunhofer Institute for Algorithms and Scientific Computing (DE)
- Luxembourg Institute of Health (LU)
- Institut du Cerveau (FR)
- University Hospital Carl Gustav Carus (DE)
- Bonn Aachen International Center for Information Technology (DE)
Publication Details
- Journal
- npj Parkinson s Disease
- Published
- 2025-04-02
- DOI
- https://doi.org/10.1038/s41531-025-00923-2
- Citations
- 4
- Primary Topic
- Parkinson's Disease Mechanisms and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 5.56
Funders
- Bundesministerium für Bildung und Forschung