Development of a composite score to predict Lewy body pathology burden
These preliminary and exploratory results support the utilization of ML techniques/models to assess LB pathologic burden with key measures collected in relatively small samples. UPSIT was consistently ranked highest impactful among clinical and functional measures/predictors. Integrated together in ML/data-derived composites, UPSIT, COWAT and other clinical characteristics may be of antemortem utility to predict USSLB stages.
Authors
- Alireza Atri (ORCID: https://orcid.org/0000-0003-4405-6973)
- Charles Adler
- Holly Shill
- Cécilia Tremblay (ORCID: https://orcid.org/0000-0001-8460-7421)
- Andrew Fu Wah Ho (ORCID: https://orcid.org/0000-0003-4338-3876)
- Geidy E. Serrano (ORCID: https://orcid.org/0000-0002-9527-2011)
- David Shprecher (ORCID: https://orcid.org/0000-0002-4217-0097)
- Shyamal H. Mehta (ORCID: https://orcid.org/0000-0003-3608-4456)
- Christine M. Belden (ORCID: https://orcid.org/0000-0001-9833-7100)
- Thomas G. Beach (ORCID: https://orcid.org/0000-0003-3296-6128)
- Parichita Choudhury (ORCID: https://orcid.org/0000-0002-8750-1160)
- Kewei Chen (ORCID: https://orcid.org/0000-0001-8497-3069)
- Nan Zhang (ORCID: https://orcid.org/0000-0002-0985-4227)
- Erika Driver‐Dunckley
- Eric M. Reiman
Institutions
- Brigham and Women's Hospital (US)
- Barrow Neurological Institute (US)
- Harvard University (US)
- University of Arizona (US)
- Banner Health (US)
- Mayo Clinic in Arizona (US)
- Banner Sun Health Research Institute (US)
- Banner Alzheimer’s Institute
- Arizona State University (US)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2024-12-01
- DOI
- https://doi.org/10.1002/alz.092056
- Primary Topic
- Olfactory and Sensory Function Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00