Association of Cerebral Small Vessel Disease and Cognitive Decline After Intracerebral Hemorrhage.
Aged
Aged, 80 and over
Cerebral Hemorrhage
/ complications
Cerebral Small Vessel Diseases
/ diagnostic imaging
Cognitive Dysfunction
/ diagnostic imaging
Female
Follow-Up Studies
Humans
Longitudinal Studies
Magnetic Resonance Imaging
/ methods
Male
Middle Aged
Prospective Studies
Retrospective Studies
Journal
Neurology
ISSN: 1526-632X
Titre abrégé: Neurology
Pays: United States
ID NLM: 0401060
Informations de publication
Date de publication:
12 01 2021
12 01 2021
Historique:
received:
11
05
2020
accepted:
27
08
2020
pubmed:
18
10
2020
medline:
28
1
2021
entrez:
17
10
2020
Statut:
ppublish
Résumé
To determine whether MRI-based cerebral small vessel disease (CSVD) burden assessment, in addition to clinical and CT data, improved prediction of cognitive impairment after spontaneous intracerebral hemorrhage (ICH). We analyzed data from ICH survivors enrolled in a single-center prospective study. We employed 3 validated CSVD burden scores: global, cerebral amyloid angiopathy (CAA)-specific, and hypertensive arteriopathy (HTNA)-specific. We quantified cognitive performance by administering the modified Telephone Interview for Cognitive Status test. We utilized linear mixed models to model cognitive decline rates, and survival models for new-onset dementia. We calculated CSVD scores' cutoffs to maximize predictive performance for dementia diagnosis. We enrolled 612 ICH survivors, and followed them for a median of 46.3 months (interquartile range 35.5-58.7). A total of 214/612 (35%) participants developed dementia. Higher global CSVD scores at baseline were associated with faster cognitive decline (coefficient -0.25, standard error [SE] 0.02) and dementia risk (sub-hazard ratio 1.35, 95% confidence interval 1.10-1.65). The global score outperformed the CAA and HTNA scores in predicting post-ICH dementia (all A validated MRI-based CSVD score is associated with cognitive performance after ICH and improved diagnostic accuracy for predicting new onset of dementia.
Identifiants
pubmed: 33067403
pii: WNL.0000000000011050
doi: 10.1212/WNL.0000000000011050
pmc: PMC7905779
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
e182-e192Subventions
Organisme : NINDS NIH HHS
ID : K23 NS100816
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG026484
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS093870
Pays : United States
Informations de copyright
© 2020 American Academy of Neurology.
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