Blood–Brain Barrier Permeability and Long-Term Clinical and Imaging Outcomes in Cerebral Small Vessel Disease

Author:

Wardlaw Joanna M.1,Doubal Fergus N.1,Valdes-Hernandez Maria1,Wang Xin1,Chappell Francesca M.1,Shuler Kirsten1,Armitage Paul A.1,Carpenter Trevor C.1,Dennis Martin S.1

Affiliation:

1. From the Brain Research Imaging Center (J.M.W., F.N.D., M.V.H., X.W., F.M.C., K.S., P.A.A., T.C.C.), and Stroke Medicine (J.M.W., F.N.D.,M.S.D.), Division of Clinical Neurosciences, University of Edinburgh, Edinburgh, United Kingdom; Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Edinburgh, United Kingdom (J.M.W., M.V.H., X.W., F.M.C., K.S., P.A.A., T.C.C.); and Center for Cognitive Aging and Cognitive Epidemiology, University of Edinburgh, Edinburgh, United...

Abstract

Background and Purpose— Increased blood–brain barrier (BBB) permeability occurs in cerebral small vessel disease. It is not known if BBB changes predate progression of small vessel disease. Methods— We followed-up patients with nondisabling lacunar or cortical stroke and BBB permeability magnetic resonance imaging after their original stroke. Approximately 3 years later, we assessed functional outcome (Oxford Handicap Score, poor outcome defined as 3–6), recurrent neurological events, and white matter hyperintensity (WMH) progression on magnetic resonance imaging. Results— Among 70 patients with mean age of 68 (SD±11) years, median time to clinical follow-up was 39 months (interquartile range, 30–45) and median Oxford Handicap Score was 2 (interquartile range, 1–3); poor functional outcome was associated with higher baseline WMH score ( P <0.001) and increased basal ganglia BBB permeability ( P =0.046). Among 48 patients with follow-up magnetic resonance imaging, WMH progression at follow-up was associated with baseline WMH (ANCOVA P <0.0001) and age (ANCOVA P =0.032). Conclusions— Further long-term studies to evaluate the role of BBB dysfunction in progression of small vessel disease are required in studies that are large enough to account for key prognostic influences such as baseline WMH and age.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Advanced and Specialized Nursing,Cardiology and Cardiovascular Medicine,Neurology (clinical)

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