Discordance between self‐ and study partner‐reported cognitive decline is associated with MCI diagnosis
Results indicate that ECog score discordance is associated with MCI diagnosis. The selected model showcased good predictive performance in the validation cohort, and highlights the potential utility of subjective dyadic discordance metrics to help identify older adults with MCI in diverse settings.
Authors
- Rachana Tank (ORCID: https://orcid.org/0000-0002-4771-6685)
- Juliet Fockler
- Scott Mackin
- Miriam T. Ashford (ORCID: https://orcid.org/0000-0003-4045-6435)
- Diana Truran‐Sacrey
- Derek Flenniken
- Chengshi Jin (ORCID: https://orcid.org/0000-0002-6431-790X)
- Manchumad Manjavong (ORCID: https://orcid.org/0000-0002-9334-5571)
- Joseph Eichenbaum (ORCID: https://orcid.org/0000-0003-1841-5936)
- Anna Aaronson (ORCID: https://orcid.org/0000-0002-5231-9684)
- Rachel L. Nosheny (ORCID: https://orcid.org/0000-0003-4995-8319)
- Bernard Landavazo
- Michael S. W. Weiner
- Jaemyeong Kang
- Monica R. Camacho
- Adam Diaz
- Melanie J. Miller (ORCID: https://orcid.org/0000-0002-7189-1109)
Institutions
- San Francisco VA Medical Center (US)
- Khon Kaen University (TH)
- University of California, San Francisco (US)
- Gachon University Gil Medical Center (KR)
- UK Dementia Research Institute (GB)
- Advanced Imaging Research (United States) (US)
- Northern California Institute for Research and Education (US)
- University College London (GB)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2024-12-01
- DOI
- https://doi.org/10.1002/alz.087051
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00