Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/23469
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dc.contributor.authorGiese, Anne-Katrin-
dc.contributor.authorSchirmer, Markus D-
dc.contributor.authorDalca, Adrian V-
dc.contributor.authorSridharan, Ramesh-
dc.contributor.authorDonahue, Kathleen L-
dc.contributor.authorNardin, Marco-
dc.contributor.authorIrie, Robert-
dc.contributor.authorMcIntosh, Elissa C-
dc.contributor.authorMocking, Steven J T-
dc.contributor.authorXu, Huichun-
dc.contributor.authorCole, John W-
dc.contributor.authorGiralt-Steinhauer, Eva-
dc.contributor.authorJimenez-Conde, Jordi-
dc.contributor.authorJern, Christina-
dc.contributor.authorKleindorfer, Dawn O-
dc.contributor.authorLemmens, Robin-
dc.contributor.authorWasselius, Johan-
dc.contributor.authorLindgren, Arne-
dc.contributor.authorRundek, Tatjana-
dc.contributor.authorSacco, Ralph L-
dc.contributor.authorSchmidt, Reinhold-
dc.contributor.authorSharma, Pankaj-
dc.contributor.authorSlowik, Agnieszka-
dc.contributor.authorThijs, Vincent N-
dc.contributor.authorWorrall, Bradford B-
dc.contributor.authorWoo, Daniel-
dc.contributor.authorKittner, Steven J-
dc.contributor.authorMcArdle, Patrick F-
dc.contributor.authorMitchell, Braxton D-
dc.contributor.authorRosand, Jonathan-
dc.contributor.authorMeschia, James F-
dc.contributor.authorWu, Ona-
dc.contributor.authorGolland, Polina-
dc.contributor.authorRost, Natalia S-
dc.date2020-06-03-
dc.date.accessioned2020-06-10T00:47:12Z-
dc.date.available2020-06-10T00:47:12Z-
dc.date.issued2020-07-
dc.identifier.citationNeurology 2020; 95(1): e79-e88en
dc.identifier.urihttps://ahro.austin.org.au/austinjspui/handle/1/23469-
dc.description.abstractTo examine etiologic stroke subtypes and vascular risk factor profiles and their association with white matter hyperintensity (WMH) burden in patients hospitalized for acute ischemic stroke (AIS). For the MRI Genetics Interface Exploration (MRI-GENIE) study, we systematically assembled brain imaging and phenotypic data for 3,301 patients with AIS. All cases underwent standardized web tool-based stroke subtyping with the Causative Classification of Ischemic Stroke (CCS). WMH volume (WMHv) was measured on T2 brain MRI scans of 2,529 patients with a fully automated deep-learning trained algorithm. Univariable and multivariable linear mixed-effects modeling was carried out to investigate the relationship of vascular risk factors with WMHv and CCS subtypes. Patients with AIS with large artery atherosclerosis, major cardioembolic stroke, small artery occlusion (SAO), other, and undetermined causes of AIS differed significantly in their vascular risk factor profile (all p < 0.001). Median WMHv in all patients with AIS was 5.86 cm3 (interquartile range 2.18-14.61 cm3) and differed significantly across CCS subtypes (p < 0.0001). In multivariable analysis, age, hypertension, prior stroke, smoking (all p < 0.001), and diabetes mellitus (p = 0.041) were independent predictors of WMHv. When adjusted for confounders, patients with SAO had significantly higher WMHv compared to those with all other stroke subtypes (p < 0.001). In this international multicenter, hospital-based cohort of patients with AIS, we demonstrate that vascular risk factor profiles and extent of WMH burden differ by CCS subtype, with the highest lesion burden detected in patients with SAO. These findings further support the small vessel hypothesis of WMH lesions detected on brain MRI of patients with ischemic stroke.en
dc.language.isoeng-
dc.titleWhite matter hyperintensity burden in acute stroke patients differs by ischemic stroke subtype.en
dc.typeJournal Articleen_US
dc.identifier.journaltitleNeurologyen
dc.identifier.affiliationKU Leuven-University of Leuven, Department of Neurosciences, Experimental Neurologyen
dc.identifier.affiliationStroke Division, The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Heidelberg, Victoria, Australiaen
dc.identifier.affiliationDepartment of Neurology, Austin Health, Heidelberg, Victoria, Australiaen
dc.identifier.affiliationDepartments of Neurology and Public Health Sciences, University of Virginia, Charlottesvilleen
dc.identifier.affiliationCenter for Genomic Medicine, Massachusetts General Hospitalen
dc.identifier.affiliationInstitute of Cardiovascular Research, Royal Holloway University of London, Egham, UKen
dc.identifier.affiliationHenry and Allison McCance Center for Brain Health, Boston, MAen
dc.identifier.affiliationDepartment of Neurology, Mayo Clinic, Jacksonville, FLen
dc.identifier.affiliationDepartment of Neurology, Jagiellonian University Medical College, Krakow, Polanden
dc.identifier.affiliationDepartment of Neurology, Clinical Division of Neurogeriatrics, Medical University Graz, Austriaen
dc.identifier.affiliationDepartment of Neurology, Miller School of Medicine, University of Miami, The Evelyn F. McKnight Brain Institute, FLen
dc.identifier.affiliationDepartment of Neurology and Rehabilitation Medicine, Neurology, Skåne University Hospital, Lund, Swedenen
dc.identifier.affiliationDepartment of Clinical Sciences Lund, Neurology, Lund Universityen
dc.identifier.affiliationVIB, Vesalius Research Center, Laboratory of Neurobiology, University Hospitals Leuven, Department of Neurology, Belgiumen
dc.identifier.affiliationDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Bostonen
dc.identifier.affiliationAshford and St Peter's Hospital, UKen
dc.identifier.affiliationProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, Cambridgeen
dc.identifier.affiliationDepartment of Population Health Sciences, German Centre for Neurodegenerative Diseases, Bonn, Germanyen
dc.identifier.affiliationAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestownen
dc.identifier.affiliationDivision of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicineen
dc.identifier.affiliationDepartment of Neurology, University of Maryland School of Medicine and Veterans Affairs Maryland Health Care System, Baltimoreen
dc.identifier.affiliationDepartment of Neurology, Neurovascular Research Group, IMIM-Hospital del Mar (Institut Hospital del Mar d'Investigacions Mèdiques), Universitat Autonoma de Barcelona, Spainen
dc.identifier.affiliationInstitute of Biomedicine, Sahlgrenska Academy at University of Gothenburg, Swedenen
dc.identifier.affiliationDepartment of Neurology and Rehabilitation Medicine\, University of Cincinnati College of Medicine, OHen
dc.identifier.doi10.1212/WNL.0000000000009728en
dc.type.contentTexten_US
dc.identifier.orcid0000-0002-8500-2376en
dc.identifier.orcid0000-0001-9561-0239en
dc.identifier.orcid0000-0003-1896-381Xen
dc.identifier.orcid0000-0002-7115-9815en
dc.identifier.orcid0000-0002-6614-8417en
dc.identifier.orcid0000-0001-9386-4091en
dc.identifier.orcid0000-0002-4475-8142en
dc.identifier.pubmedid32493718-
dc.type.austinJournal Article-
local.name.researcherThijs, Vincent N
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
item.cerifentitytypePublications-
item.openairetypeJournal Article-
item.fulltextNo Fulltext-
item.languageiso639-1en-
crisitem.author.deptNeurology-
crisitem.author.deptThe Florey Institute of Neuroscience and Mental Health-
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