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Impaired mobility and MRI markers of vascular brain injury: Atherosclerosis Risk in Communities and UK Biobank studies.
Sharma, Richa; de Havenon, Adam; Rivier, Cyprien; Payabvash, Seyedmehdi; Forman, Rachel; Krumholz, Harlan; Falcone, Guido J; Sheth, Kevin N; Kernan, Walter N.
Afiliación
  • Sharma R; Department of Neurology, Yale School of Medicine, New Haven, Connecticut, USA.
  • de Havenon A; Department of Neurology, Yale School of Medicine, New Haven, Connecticut, USA.
  • Rivier C; Department of Neurology, Yale School of Medicine, New Haven, Connecticut, USA.
  • Payabvash S; Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut, USA.
  • Forman R; Department of Neurology, Yale School of Medicine, New Haven, Connecticut, USA.
  • Krumholz H; Department of Medicine, Yale School of Medicine, New Haven, Connecticut, USA.
  • Falcone GJ; Department of Neurology, Yale School of Medicine, New Haven, Connecticut, USA.
  • Sheth KN; Department of Neurology, Yale School of Medicine, New Haven, Connecticut, USA.
  • Kernan WN; Department of Medicine, Yale School of Medicine, New Haven, Connecticut, USA.
BMJ Neurol Open ; 6(1): e000501, 2024.
Article en En | MEDLINE | ID: mdl-38288313
ABSTRACT

Background:

Vascular brain injury (VBI) may be an under-recognised contributor to mobility impairment. We examined associations between MRI VBI biomarkers and impaired mobility.

Methods:

We separately analysed Atherosclerosis Risk in Communities (ARIC) and UK Biobank (UKB) study cohorts. Inclusion criteria were no prevalent clinical stroke, and available brain MRI and balance and gait data. MRI VBI biomarkers were (ARIC ventricular and white matter hyperintensity (WMH) volumes, non-lacunar and lacunar infarctions, microhaemorrhage; UKB ventricular, brain and WMH volumes, fractional anisotropy (FA), mean diffusivity (MD), intracellular and isotropic free water volume fractions). Quantitative biomarkers were categorised into tertiles. Mobility impairment outcomes were imbalance and slow walk in ARIC and recent fall and slow walk in UKB. Adjusted multivariable logistic regression analyses were performed.

Results:

We included 1626 ARIC (mean age 76.2 years; 23.4% imbalance, 25.0% slow walk) and 40 098 UKB (mean age 55 years; 15.8% falls, 2.8% slow walk) participants. In ARIC, imbalance associated with four of five VBI measures (all p values<0.05), most strongly with WMH (adjusted OR, aOR 1.64; 95% CI 1.18 to 2.29). Slow walk associated with four of five VBI measures, most strongly with WMH (aOR 2.32; 95% CI 1.66 to 3.24). In UKB, falls associated with all VBI measures except WMH, most strongly with FA (aOR 1.16; 95% CI 1.08 to 1.24). Slow walking associated with WMH, FA and MD, most strongly with FA (aOR 1.57; 95% CI 1.32 to 1.87).

Conclusions:

VBI is associated with mobility impairment in community-dwelling, clinically stroke-free cohorts. Consequences of VBI may extend beyond clinically apparent stroke to include mobility.
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Etiology_studies / Risk_factors_studies Idioma: En Revista: BMJ Neurol Open Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Etiology_studies / Risk_factors_studies Idioma: En Revista: BMJ Neurol Open Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos
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