Predictive modeling to uncover Parkinson's disease characteristics that delay diagnosis
Publikation: Beitrag in Fachzeitschrift › Forschungsartikel › Beigetragen › Begutachtung
Beitragende
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
| Originalsprache | Englisch |
|---|---|
| Aufsatznummer | 64 |
| Seitenumfang | 7 |
| Fachzeitschrift | NPJ Parkinson's disease |
| Jahrgang | 11 (2025) |
| Ausgabenummer | 1 |
| Publikationsstatus | Veröffentlicht - 2 Apr. 2025 |
| Peer-Review-Status | Ja |
Externe IDs
| ORCID | /0000-0002-2387-526X/work/181860662 |
|---|---|
| Scopus | 105001644947 |