Web of Science: 8 cites, Scopus: 8 cites, Google Scholar: cites,
Excessive White Matter Hyperintensity Increases Susceptibility to Poor Functional Outcomes After Acute Ischemic Stroke
Hong, Sungmin (Massachusetts General Hospital)
Giese, Anne-Katrin (University Medical Center Hamburg-Eppendorf)
Schirmer, Markus D. (University Hospital Bonn)
Bonkhoff, Anna K. (Massachusetts General Hospital)
Bretzner, Martin (Université du Lille)
Rist, Pamela (Brigham and Women's Hospital (Boston, Estats Units d'Amèrica))
Dalca, Adrian V. (Massachusetts General Hospital (Boston))
Regenhardt, Robert W. (Massachusetts General Hospital)
Etherton, Mark R. (Massachusetts General Hospital)
Donahue, Kathleen L. (Massachusetts General Hospital)
Nardin, Marco (Harvard Medical School)
Mocking, Steven J. T. (Massachusetts General Hospital)
McIntosh, Elissa C. (Massachusetts General Hospital)
Attia, John (University of Newcastle)
Benavente, Oscar R. (University of British Columbia)
Cole, John W. (University of Maryland. School of Medicine)
Donatti, Amanda (University of Campinas)
Griessenauer, Christoph J. (Research Institute of Neurointervention, Paracelsus Medical University)
Heitsch, Laura (Washington University School of Medicine)
Holmegaard, Lukas (University of Gothenburg)
Jood, Katarina (University of Gothenburg)
Jimenez-Conde, Jordi (Institut Hospital del Mar d'Investigacions Mèdiques)
Roquer, Jaume (Institut Hospital del Mar d'Investigacions Mèdiques)
Kittner, Steven J. (University of Maryland School of Medicine)
Lemmens, Robin (University Hospitals Leuven (Bèlgica))
Levi, Christopher R. (John Hunter Hospital)
McDonough, Caitrin W. (University of Florida)
Meschia, James F. (Mayo Clinic (Estats Units d'Amèrica))
Phuah, Chia-Ling (Department of Neurology, Washington University School of Medicine & Barnes-Jewish Hospital)
Rolfs, Arndt (Centogene AG (Alemanya))
Ropele, Stefan (Department of Neurology, Medical University Graz)
Rosand, Jonathan (Massachusetts General Hospital)
Rundek, Tatjana (Department of Neurology, University of Miami)
Sacco, Ralph L. (Department of Neurology , University of Miami)
Schmidt, Reinhold (Department of Neurology, Medical University Graz)
Enzinger, Christian (Department of Neurology, Medical University Graz)
Sharma, Pankaj (St. Peter's and Ashford Hospitals)
Slowik, Agnieszka (Jagiellonian University Medical College)
Sousa, Alessandro (University of Campinas)
Stanne, Tara M. (University of Gothenburg)
Strbian, Daniel (University of Helsinki)
Tatlisumak, Turgut (Sahlgrenska University Hospital (Suècia))
Thijs, Vincent (Austin Health (Austràlia))
Vagal, Achala (University of Cincinnati College of Medicine)
Wasselius, Johan (Skåne University Hospital (Suècia))
Woo, Daniel (University of Cincinnati College of Medicine)
Zand, Ramin (Geisinger (Estats Units d'Amèrica))
McArdle, Patrick F. (University of Maryland School of Medicine)
Worrall, Bradford B. (University of Virginia)
Wu, Ona (Massachusetts General Hospital)
Jern, Christina (Department of University of Gothenburg)
Lindgren, Arne G. (Lund University. Department of Clinical Sciences)
Maguire, Jane (University of Technology Sydney)
Tomppo, Liisa (University of Helsinki)
Golland, Polina (Massachusetts Institute of Technology)
Rost, Natalia S. (Massachusetts General Hospital)
Universitat Autònoma de Barcelona

Data: 2021
Resum: Objective: To personalize the prognostication of post-stroke outcome using MRI-detected cerebrovascular pathology, we sought to investigate the association between the excessive white matter hyperintensity (WMH) burden unaccounted for by the traditional stroke risk profile of individual patients and their long-term functional outcomes after a stroke. Methods: We included 890 patients who survived after an acute ischemic stroke from the MRI-Genetics Interface Exploration (MRI-GENIE) study, for whom data on vascular risk factors (VRFs), including age, sex, atrial fibrillation, diabetes mellitus, hypertension, coronary artery disease, smoking, prior stroke history, as well as acute stroke severity, 3- to−6-month modified Rankin Scale score (mRS), WMH, and brain volumes, were available. We defined the unaccounted WMH (uWMH) burden via modeling of expected WMH burden based on the VRF profile of each individual patient. The association of uWMH and mRS score was analyzed by linear regression analysis. The odds ratios of patients who achieved full functional independence (mRS < 2) in between trichotomized uWMH burden groups were calculated by pair-wise comparisons. Results: The expected WMH volume was estimated with respect to known VRFs. The uWMH burden was associated with a long-term functional outcome (β = 0. 104, p < 0. 01). Excessive uWMH burden significantly reduced the odds of achieving full functional independence after a stroke compared to the low and average uWMH burden [OR = 0. 4, 95% CI: (0. 25, 0. 63), p < 0. 01 and OR = 0. 61, 95% CI: (0. 42, 0. 87), p < 0. 01, respectively]. Conclusion: The excessive amount of uWMH burden unaccounted for by the traditional VRF profile was associated with worse post-stroke functional outcomes. Further studies are needed to evaluate a lifetime brain injury reflected in WMH unrelated to the VRF profile of a patient as an important factor for stroke recovery and a plausible indicator of brain health.
Ajuts: European Commission. Horizon 2020 753896
Ministerio de Economía y Competitividad PI15/00451
Fundació la Marató de TV3 76/C/2011-JJ-C
"la Caixa" Foundation JJ086116 JJ-C
Drets: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original. Creative Commons
Llengua: Anglès
Document: Article ; recerca ; Versió publicada
Matèria: White matter hyper intensity ; Stroke ; Brain health ; Brain vulnerability ; Post-stroke outcomes ; Functional independence ; Functional outcome after acute stroke ; Acute ischemic stroke
Publicat a: Frontiers in neurology, Vol. 12 (september 2021) , ISSN 1664-2295

DOI: 10.3389/fneur.2021.700616
PMID: 34566844


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