Improved multimodal prediction of progression from MCI to Alzheimer's disease combining genetics with quantitative brain MRI and cognitive measures.
Alzheimer's disease
amyloid
genetics
magnetic resonance imaging
memory
mild cognitive impairment
multimodal prediction
tau
Journal
Alzheimer's & dementia : the journal of the Alzheimer's Association
ISSN: 1552-5279
Titre abrégé: Alzheimers Dement
Pays: United States
ID NLM: 101231978
Informations de publication
Date de publication:
11 2023
11 2023
Historique:
revised:
21
03
2023
received:
12
01
2023
accepted:
04
04
2023
pmc-release:
02
11
2024
medline:
16
11
2023
pubmed:
3
5
2023
entrez:
3
5
2023
Statut:
ppublish
Résumé
There is a pressing need for non-invasive, cost-effective tools for early detection of Alzheimer's disease (AD). Using data from the Alzheimer's Disease Neuroimaging Initiative (ADNI), Cox proportional models were conducted to develop a multimodal hazard score (MHS) combining age, a polygenic hazard score (PHS), brain atrophy, and memory to predict conversion from mild cognitive impairment (MCI) to dementia. Power calculations estimated required clinical trial sample sizes after hypothetical enrichment using the MHS. Cox regression determined predicted age of onset for AD pathology from the PHS. The MHS predicted conversion from MCI to dementia (hazard ratio for 80th versus 20th percentile: 27.03). Models suggest that application of the MHS could reduce clinical trial sample sizes by 67%. The PHS alone predicted age of onset of amyloid and tau. The MHS may improve early detection of AD for use in memory clinics or for clinical trial enrichment. A multimodal hazard score (MHS) combined age, genetics, brain atrophy, and memory. The MHS predicted time to conversion from mild cognitive impairment to dementia. MHS reduced hypothetical Alzheimer's disease (AD) clinical trial sample sizes by 67%. A polygenic hazard score predicted age of onset of AD neuropathology.
Identifiants
pubmed: 37132098
doi: 10.1002/alz.13112
pmc: PMC10620101
mid: NIHMS1898719
doi:
Substances chimiques
Biomarkers
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
5151-5158Subventions
Organisme : NIA NIH HHS
ID : R00 AG057797
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG077202
Pays : United States
Organisme : NIH HHS
ID : U01 AG024904
Pays : United States
Organisme : NIA NIH HHS
ID : R00 AG057797
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG077202
Pays : United States
Organisme : NIH HHS
ID : U01 AG024904
Pays : United States
Informations de copyright
© 2023 The Authors. Alzheimer's & Dementia published by Wiley Periodicals LLC on behalf of Alzheimer's Association.
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