Study of Symptomatic vs. Silent Brain Infarctions on MRI in Elderly Subjects
Brain infarctions are closely associated with future risk of stroke and dementia. Our goal was to report (i) frequency and characteristics that differentiate symptomatic vs. silent brain infarctions (SBI) on MRI and (ii) frequency and location by vascular distribution (location of stroke by major va...
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2021-02-01
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doaj-a9271a3b278b4a6b829f4def357617a82021-02-17T05:00:37ZengFrontiers Media S.A.Frontiers in Neurology1664-22952021-02-011210.3389/fneur.2021.615024615024Study of Symptomatic vs. Silent Brain Infarctions on MRI in Elderly SubjectsSheelakumari Raghavan0Jonathan Graff-Radford1Eugene Scharf2Scott A. Przybelski3Timothy G. Lesnick4Brian Gregg5Christopher G. Schwarz6Jeffrey L. Gunter7Samantha M. Zuk8Alejandro Rabinstein9Michelle M. Mielke10Michelle M. Mielke11Ronald C. Petersen12David S. Knopman13Kejal Kantarci14Clifford R. Jack15Prashanthi Vemuri16Departments of Radiology, Mayo Clinic, Rochester, MN, United StatesNeurology, Mayo Clinic, Rochester, MN, United StatesNeurology, Mayo Clinic, Rochester, MN, United StatesHealth Sciences Research, Mayo Clinic, Rochester, MN, United StatesHealth Sciences Research, Mayo Clinic, Rochester, MN, United StatesDepartments of Radiology, Mayo Clinic, Rochester, MN, United StatesDepartments of Radiology, Mayo Clinic, Rochester, MN, United StatesInformation Technology, Mayo Clinic, Rochester, MN, United StatesDepartments of Radiology, Mayo Clinic, Rochester, MN, United StatesNeurology, Mayo Clinic, Rochester, MN, United StatesNeurology, Mayo Clinic, Rochester, MN, United StatesHealth Sciences Research, Mayo Clinic, Rochester, MN, United StatesNeurology, Mayo Clinic, Rochester, MN, United StatesNeurology, Mayo Clinic, Rochester, MN, United StatesDepartments of Radiology, Mayo Clinic, Rochester, MN, United StatesDepartments of Radiology, Mayo Clinic, Rochester, MN, United StatesDepartments of Radiology, Mayo Clinic, Rochester, MN, United StatesBrain infarctions are closely associated with future risk of stroke and dementia. Our goal was to report (i) frequency and characteristics that differentiate symptomatic vs. silent brain infarctions (SBI) on MRI and (ii) frequency and location by vascular distribution (location of stroke by major vascular territories) in a population based sample. From Mayo Clinic Study of Aging, 347 participants (≥50 years) with infarcts detected on their first MRI were included. Infarct information was identified visually on a FLAIR MRI image and a vascular territory atlas was registered to the FLAIR image data in order to identify the arterial territory of infarction. We identified the subset with a clinical history of stroke based on medical chart review and used a logistic regression to evaluate the risk factors associated with greater probability of a symptomatic stroke vs. SBI. We found that 14% of all individuals with infarctions had a history of symptomatic stroke (Silent: n = 300, symptomatic: n = 47). Factors associated with a symptomatic vs. SBI were size which had an odds ratio of 3.07 (p < 0.001), greater frequency of hypertension (odds ratio of 4.12, p = 0.025) and alcohol history (odds ratio of 4.58, p = 0.012). The frequency of infarcts was greater in right hemisphere compared to the left for SBI. This was primarily driven by middle cerebral artery (MCA) infarcts (right = 60%, left = 40%, p = 0.005). While left hemisphere strokes are more common for symptomatic carotid disease and in clinical trials, right hemispheric infarcts may be more frequent in the SBI group.https://www.frontiersin.org/articles/10.3389/fneur.2021.615024/fullsilent brain infarctionclinical strokevascular distributionmiddle cerebral arterylaterality |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Sheelakumari Raghavan Jonathan Graff-Radford Eugene Scharf Scott A. Przybelski Timothy G. Lesnick Brian Gregg Christopher G. Schwarz Jeffrey L. Gunter Samantha M. Zuk Alejandro Rabinstein Michelle M. Mielke Michelle M. Mielke Ronald C. Petersen David S. Knopman Kejal Kantarci Clifford R. Jack Prashanthi Vemuri |
spellingShingle |
Sheelakumari Raghavan Jonathan Graff-Radford Eugene Scharf Scott A. Przybelski Timothy G. Lesnick Brian Gregg Christopher G. Schwarz Jeffrey L. Gunter Samantha M. Zuk Alejandro Rabinstein Michelle M. Mielke Michelle M. Mielke Ronald C. Petersen David S. Knopman Kejal Kantarci Clifford R. Jack Prashanthi Vemuri Study of Symptomatic vs. Silent Brain Infarctions on MRI in Elderly Subjects Frontiers in Neurology silent brain infarction clinical stroke vascular distribution middle cerebral artery laterality |
author_facet |
Sheelakumari Raghavan Jonathan Graff-Radford Eugene Scharf Scott A. Przybelski Timothy G. Lesnick Brian Gregg Christopher G. Schwarz Jeffrey L. Gunter Samantha M. Zuk Alejandro Rabinstein Michelle M. Mielke Michelle M. Mielke Ronald C. Petersen David S. Knopman Kejal Kantarci Clifford R. Jack Prashanthi Vemuri |
author_sort |
Sheelakumari Raghavan |
title |
Study of Symptomatic vs. Silent Brain Infarctions on MRI in Elderly Subjects |
title_short |
Study of Symptomatic vs. Silent Brain Infarctions on MRI in Elderly Subjects |
title_full |
Study of Symptomatic vs. Silent Brain Infarctions on MRI in Elderly Subjects |
title_fullStr |
Study of Symptomatic vs. Silent Brain Infarctions on MRI in Elderly Subjects |
title_full_unstemmed |
Study of Symptomatic vs. Silent Brain Infarctions on MRI in Elderly Subjects |
title_sort |
study of symptomatic vs. silent brain infarctions on mri in elderly subjects |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Neurology |
issn |
1664-2295 |
publishDate |
2021-02-01 |
description |
Brain infarctions are closely associated with future risk of stroke and dementia. Our goal was to report (i) frequency and characteristics that differentiate symptomatic vs. silent brain infarctions (SBI) on MRI and (ii) frequency and location by vascular distribution (location of stroke by major vascular territories) in a population based sample. From Mayo Clinic Study of Aging, 347 participants (≥50 years) with infarcts detected on their first MRI were included. Infarct information was identified visually on a FLAIR MRI image and a vascular territory atlas was registered to the FLAIR image data in order to identify the arterial territory of infarction. We identified the subset with a clinical history of stroke based on medical chart review and used a logistic regression to evaluate the risk factors associated with greater probability of a symptomatic stroke vs. SBI. We found that 14% of all individuals with infarctions had a history of symptomatic stroke (Silent: n = 300, symptomatic: n = 47). Factors associated with a symptomatic vs. SBI were size which had an odds ratio of 3.07 (p < 0.001), greater frequency of hypertension (odds ratio of 4.12, p = 0.025) and alcohol history (odds ratio of 4.58, p = 0.012). The frequency of infarcts was greater in right hemisphere compared to the left for SBI. This was primarily driven by middle cerebral artery (MCA) infarcts (right = 60%, left = 40%, p = 0.005). While left hemisphere strokes are more common for symptomatic carotid disease and in clinical trials, right hemispheric infarcts may be more frequent in the SBI group. |
topic |
silent brain infarction clinical stroke vascular distribution middle cerebral artery laterality |
url |
https://www.frontiersin.org/articles/10.3389/fneur.2021.615024/full |
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