Predictive modeling to uncover Parkinson's disease characteristics that delay diagnosis
Research output: Contribution to journal › Research article › Contributed › peer-review
Contributors
Abstract
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.
Details
| Original language | English |
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| Article number | 64 |
| Number of pages | 7 |
| Journal | NPJ Parkinson's disease |
| Volume | 11 (2025) |
| Issue number | 1 |
| Publication status | Published - 2 Apr 2025 |
| Peer-reviewed | Yes |
External IDs
| ORCID | /0000-0002-2387-526X/work/181860662 |
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| Scopus | 105001644947 |