Excessive White Matter Hyperintensity Increases Susceptibility to Poor Functional Outcomes After Acute Ischemic Stroke.
Hong, S
Giese, A-K
Schirmer, MD
Bonkhoff, AK
Bretzner, M
Rist, P
Dalca, AV
Regenhardt, RW
Etherton, MR
Donahue, KL
Nardin, M
Mocking, SJT
McIntosh, EC
Attia, J
Benavente, OR
Cole, JW
Donatti, A
Griessenauer, CJ
Heitsch, L
Holmegaard, L
Jood, K
Jimenez-Conde, J
Roquer, J
Kittner, SJ
Lemmens, R
Levi, CR
McDonough, CW
Meschia, JF
Phuah, C-L
Rolfs, A
Ropele, S
Rosand, J
Rundek, T
Sacco, RL
Schmidt, R
Enzinger, C
Sharma, P
Slowik, A
Sousa, A
Stanne, TM
Strbian, D
Tatlisumak, T
Thijs, V
Vagal, A
Wasselius, J
Woo, D
Zand, R
McArdle, PF
Worrall, BB
Wu, O
Jern, C
Lindgren, AG
Maguire, J
Tomppo, L
Golland, P
Rost, NS
MRI-GENIE and GISCOME Investigators and the International Stroke Genetics Consortium,
- Publisher:
- Frontiers Media
- Publication Type:
- Journal Article
- Citation:
- Frontiers in Neurology, 2021, 12
- Issue Date:
- 2021-01
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Full metadata record
| Field | Value | Language |
|---|---|---|
| dc.contributor.author | Hong, S | |
| dc.contributor.author | Giese, A-K | |
| dc.contributor.author | Schirmer, MD | |
| dc.contributor.author | Bonkhoff, AK | |
| dc.contributor.author | Bretzner, M | |
| dc.contributor.author | Rist, P | |
| dc.contributor.author | Dalca, AV | |
| dc.contributor.author | Regenhardt, RW | |
| dc.contributor.author | Etherton, MR | |
| dc.contributor.author | Donahue, KL | |
| dc.contributor.author | Nardin, M | |
| dc.contributor.author | Mocking, SJT | |
| dc.contributor.author | McIntosh, EC | |
| dc.contributor.author | Attia, J | |
| dc.contributor.author | Benavente, OR | |
| dc.contributor.author | Cole, JW | |
| dc.contributor.author | Donatti, A | |
| dc.contributor.author | Griessenauer, CJ | |
| dc.contributor.author | Heitsch, L | |
| dc.contributor.author | Holmegaard, L | |
| dc.contributor.author | Jood, K | |
| dc.contributor.author | Jimenez-Conde, J | |
| dc.contributor.author | Roquer, J | |
| dc.contributor.author | Kittner, SJ | |
| dc.contributor.author | Lemmens, R | |
| dc.contributor.author | Levi, CR | |
| dc.contributor.author | McDonough, CW | |
| dc.contributor.author | Meschia, JF | |
| dc.contributor.author | Phuah, C-L | |
| dc.contributor.author | Rolfs, A | |
| dc.contributor.author | Ropele, S | |
| dc.contributor.author | Rosand, J | |
| dc.contributor.author | Rundek, T | |
| dc.contributor.author | Sacco, RL | |
| dc.contributor.author | Schmidt, R | |
| dc.contributor.author | Enzinger, C | |
| dc.contributor.author | Sharma, P | |
| dc.contributor.author | Slowik, A | |
| dc.contributor.author | Sousa, A | |
| dc.contributor.author | Stanne, TM | |
| dc.contributor.author | Strbian, D | |
| dc.contributor.author | Tatlisumak, T | |
| dc.contributor.author | Thijs, V | |
| dc.contributor.author | Vagal, A | |
| dc.contributor.author | Wasselius, J | |
| dc.contributor.author | Woo, D | |
| dc.contributor.author | Zand, R | |
| dc.contributor.author | McArdle, PF | |
| dc.contributor.author | Worrall, BB | |
| dc.contributor.author | Wu, O | |
| dc.contributor.author | Jern, C | |
| dc.contributor.author | Lindgren, AG | |
| dc.contributor.author | Maguire, J | |
| dc.contributor.author | Tomppo, L | |
| dc.contributor.author | Golland, P | |
| dc.contributor.author | Rost, NS | |
| dc.contributor.author | MRI-GENIE and GISCOME Investigators and the International Stroke Genetics Consortium, | |
| dc.date.accessioned | 2021-10-07T05:04:24Z | |
| dc.date.available | 2021-07-28 | |
| dc.date.available | 2021-10-07T05:04:24Z | |
| dc.date.issued | 2021-01 | |
| dc.identifier.citation | Frontiers in Neurology, 2021, 12 | |
| dc.identifier.issn | 1664-2295 | |
| dc.identifier.issn | 1664-2295 | |
| dc.identifier.uri | http://hdl.handle.net/10453/150888 | |
| dc.description.abstract | 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. | |
| dc.format | Electronic-eCollection | |
| dc.language | eng | |
| dc.publisher | Frontiers Media | |
| dc.relation.ispartof | Frontiers in Neurology | |
| dc.relation.isbasedon | 10.3389/fneur.2021.700616 | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.subject | 1103 Clinical Sciences, 1109 Neurosciences, 1701 Psychology | |
| dc.title | Excessive White Matter Hyperintensity Increases Susceptibility to Poor Functional Outcomes After Acute Ischemic Stroke. | |
| dc.type | Journal Article | |
| utslib.citation.volume | 12 | |
| utslib.location.activity | Switzerland | |
| utslib.for | 1103 Clinical Sciences | |
| utslib.for | 1109 Neurosciences | |
| utslib.for | 1701 Psychology | |
| pubs.organisational-group | /University of Technology Sydney | |
| pubs.organisational-group | /University of Technology Sydney/Faculty of Health | |
| utslib.copyright.status | open_access | * |
| pubs.consider-herdc | false | |
| dc.date.updated | 2021-10-07T05:04:21Z | |
| pubs.publication-status | Published | |
| pubs.volume | 12 |
Abstract:
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.
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