Predicting Mild Cognitive Impairment to Dementia Progression: Optimizing Aβ PET and MMSE Cutoffs
While cognitive performance alone is not sufficient for predicting MCI-to-AD progression, combining Aβ with MMSE cutoffs can enhance risk stratification, providing greater prognostic information and aiding in the design of clinical trials and therapeutic interventions for prodromal AD. This study also highlights the importance of using CL>44 to identify individuals at high risk of progressing to AD.
Authors
- Vincent Doré (ORCID: https://orcid.org/0000-0002-8051-0558)
- James D. Doecke (ORCID: https://orcid.org/0000-0003-2863-0293)
- Azadeh Feizpour
- Hamid R Sohrabi
- Christopher C. Rowe
- Pierrick Bourgeat
- Colin L. Masters
- Paul Maruff
- Jurgen Fripp
- Rodrigo Canovas
- Michael W Weiner
- Rosita Shishegar
- Simon M. Laws
- Victor L. Villemagne
- Tenielle Porter
Institutions
- Edith Cowan University (AU)
- Commonwealth Scientific and Industrial Research Organisation (AU)
- San Francisco VA Medical Center (US)
- The University of Melbourne (AU)
- University of Pittsburgh (US)
- Murdoch University (AU)
- Florey Institute of Neuroscience and Mental Health (AU)
- Australian e-Health Research Centre (AU)
- CSIRO Health and Biosecurity (AU)
- Austin Health (AU)
- Monash University (AU)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70859_104130
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00