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Association of brain microbleeds with risk factors, cognition, and MRI markers in MESA.
Jensen, Paul N; Rashid, Tanweer; Ware, Jeffrey B; Cui, Yuhan; Sitlani, Colleen M; Austin, Thomas R; Longstreth, W T; Bertoni, Alain G; Mamourian, Elizabeth; Bryan, R Nick; Nasrallah, Ilya M; Habes, Mohamad; Heckbert, Susan R.
Afiliação
  • Jensen PN; Cardiovascular Health Research Unit, University of Washington, Seattle, Washington, USA.
  • Rashid T; Department of Medicine, University of Washington, Seattle, Washington, USA.
  • Ware JB; Neuroimage Analytics Laboratory and Biggs Institute Neuroimaging Core, Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Science Center San Antonio, San Antonio, Texas, USA.
  • Cui Y; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Sitlani CM; Center for AI and Data Science for Integrated Diagnostics and Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Austin TR; Cardiovascular Health Research Unit, University of Washington, Seattle, Washington, USA.
  • Longstreth WT; Department of Medicine, University of Washington, Seattle, Washington, USA.
  • Bertoni AG; Cardiovascular Health Research Unit, University of Washington, Seattle, Washington, USA.
  • Mamourian E; Department of Epidemiology, University of Washington, Seattle, Washington, USA.
  • Bryan RN; Department of Epidemiology, University of Washington, Seattle, Washington, USA.
  • Nasrallah IM; Department of Neurology, University of Washington, Seattle, Washington, USA.
  • Habes M; Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.
  • Heckbert SR; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Alzheimers Dement ; 19(9): 4139-4149, 2023 09.
Article em En | MEDLINE | ID: mdl-37289978
ABSTRACT

INTRODUCTION:

Little is known about the epidemiology of brain microbleeds in racially/ethnically diverse populations.

METHODS:

In the Multi-Ethnic Study of Atherosclerosis, brain microbleeds were identified from 3T magnetic resonance imaging susceptibility-weighted imaging sequences using deep learning models followed by radiologist review.

RESULTS:

Among 1016 participants without prior stroke (25% Black, 15% Chinese, 19% Hispanic, 41% White, mean age 72), microbleed prevalence was 20% at age 60 to 64.9 and 45% at ≥85 years. Deep microbleeds were associated with older age, hypertension, higher body mass index, and atrial fibrillation, and lobar microbleeds with male sex and atrial fibrillation. Overall, microbleeds were associated with greater white matter hyperintensity volume and lower total white matter fractional anisotropy.

DISCUSSION:

Results suggest differing associations for lobar versus deep locations. Sensitive microbleed quantification will facilitate future longitudinal studies of their potential role as an early indicator of vascular pathology.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fibrilação Atrial / Hemorragia Cerebral Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Humans / Male / Middle aged Idioma: En Revista: Alzheimers Dement Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fibrilação Atrial / Hemorragia Cerebral Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Humans / Male / Middle aged Idioma: En Revista: Alzheimers Dement Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos