Determinants of Perivascular Spaces in the General Population: A Pooled Cohort Analysis of Individual Participant Data

Research output: Contribution to journalJournal articleResearchpeer-review

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Determinants of Perivascular Spaces in the General Population : A Pooled Cohort Analysis of Individual Participant Data. / Evans, Tavia E.; Knol, Maria J.; Schwingenschuh, Petra; Wittfeld, Katharina; Hilal, Saima; Ikram, M. Arfan; Dubost, Florian; Van Wijnen, Kimberlin M.H.; Katschnig, Petra; Yilmaz, Pinar; De Bruijne, Marleen; Habes, Mohamad; Chen, Christopher; Langer, Sönke; Völzke, Henry; Ikram, M. Kamran; Grabe, Hans J.; Schmidt, Reinhold; Adams, Hieab H.H.; Vernooij, Meike W.

In: Neurology, Vol. 100, No. 2, 2023, p. E107-E122.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Evans, TE, Knol, MJ, Schwingenschuh, P, Wittfeld, K, Hilal, S, Ikram, MA, Dubost, F, Van Wijnen, KMH, Katschnig, P, Yilmaz, P, De Bruijne, M, Habes, M, Chen, C, Langer, S, Völzke, H, Ikram, MK, Grabe, HJ, Schmidt, R, Adams, HHH & Vernooij, MW 2023, 'Determinants of Perivascular Spaces in the General Population: A Pooled Cohort Analysis of Individual Participant Data', Neurology, vol. 100, no. 2, pp. E107-E122. https://doi.org/10.1212/WNL.0000000000201349

APA

Evans, T. E., Knol, M. J., Schwingenschuh, P., Wittfeld, K., Hilal, S., Ikram, M. A., Dubost, F., Van Wijnen, K. M. H., Katschnig, P., Yilmaz, P., De Bruijne, M., Habes, M., Chen, C., Langer, S., Völzke, H., Ikram, M. K., Grabe, H. J., Schmidt, R., Adams, H. H. H., & Vernooij, M. W. (2023). Determinants of Perivascular Spaces in the General Population: A Pooled Cohort Analysis of Individual Participant Data. Neurology, 100(2), E107-E122. https://doi.org/10.1212/WNL.0000000000201349

Vancouver

Evans TE, Knol MJ, Schwingenschuh P, Wittfeld K, Hilal S, Ikram MA et al. Determinants of Perivascular Spaces in the General Population: A Pooled Cohort Analysis of Individual Participant Data. Neurology. 2023;100(2):E107-E122. https://doi.org/10.1212/WNL.0000000000201349

Author

Evans, Tavia E. ; Knol, Maria J. ; Schwingenschuh, Petra ; Wittfeld, Katharina ; Hilal, Saima ; Ikram, M. Arfan ; Dubost, Florian ; Van Wijnen, Kimberlin M.H. ; Katschnig, Petra ; Yilmaz, Pinar ; De Bruijne, Marleen ; Habes, Mohamad ; Chen, Christopher ; Langer, Sönke ; Völzke, Henry ; Ikram, M. Kamran ; Grabe, Hans J. ; Schmidt, Reinhold ; Adams, Hieab H.H. ; Vernooij, Meike W. / Determinants of Perivascular Spaces in the General Population : A Pooled Cohort Analysis of Individual Participant Data. In: Neurology. 2023 ; Vol. 100, No. 2. pp. E107-E122.

Bibtex

@article{c349f5d560b642dd8fc1f8f2dc32f8d6,
title = "Determinants of Perivascular Spaces in the General Population: A Pooled Cohort Analysis of Individual Participant Data",
abstract = "Background and ObjectivesPerivascular spaces (PVS) are emerging markers of cerebral small vessel disease (CSVD), but research on their determinants has been hampered by conflicting results from small single studies using heterogeneous rating methods. In this study, we therefore aimed to identify determinants of PVS burden in a pooled analysis of multiple cohort studies using 1 harmonized PVS rating method.MethodsIndividuals from 10 population-based cohort studies with adult participants from the Uniform Neuro-Imaging of Virchow-Robin Spaces Enlargement consortium and the UK Biobank were included. On MRI scans, we counted PVS in 4 brain regions (mesencephalon, hippocampus, basal ganglia, and centrum semiovale) according to a uniform and validated rating protocol, both manually and automated using a deep learning algorithm. As potential determinants, we considered demographics, cardiovascular risk factors, APOE genotypes, and other imaging markers of CSVD. Negative binomial regression models were used to examine the association between these determinants and PVS counts.ResultsIn total, 39,976 individuals were included (age range 20-96 years). The average count of PVS in the 4 regions increased from the age 20 years (0-1 PVS) to 90 years (2-7 PVS). Men had more mesencephalic PVS (OR [95% CI] = 1.13 [1.08-1.18] compared with women), but less hippocampal PVS (0.82 [0.81-0.83]). Higher blood pressure, particularly diastolic pressure, was associated with more PVS in all regions (ORs between 1.04-1.05). Hippocampal PVS showed higher counts with higher high-density lipoprotein cholesterol levels (1.02 [1.01-1.02]), glucose levels (1.02 [1.01-1.03]), and APOE ϵ4-alleles (1.02 [1.01-1.04]). Furthermore, white matter hyperintensity volume and presence of lacunes were associated with PVS in multiple regions, but most strongly with the basal ganglia (1.13 [1.12-1.14] and 1.10 [1.09-1.12], respectively).DiscussionVarious factors are associated with the burden of PVS, in part regionally specific, which points toward a multifactorial origin beyond what can be expected from PVS-related risk factor profiles. This study highlights the power of collaborative efforts in population neuroimaging research. ",
author = "Evans, {Tavia E.} and Knol, {Maria J.} and Petra Schwingenschuh and Katharina Wittfeld and Saima Hilal and Ikram, {M. Arfan} and Florian Dubost and {Van Wijnen}, {Kimberlin M.H.} and Petra Katschnig and Pinar Yilmaz and {De Bruijne}, Marleen and Mohamad Habes and Christopher Chen and S{\"o}nke Langer and Henry V{\"o}lzke and Ikram, {M. Kamran} and Grabe, {Hans J.} and Reinhold Schmidt and Adams, {Hieab H.H.} and Vernooij, {Meike W.}",
note = "Publisher Copyright: {\textcopyright} American Academy of Neurology.",
year = "2023",
doi = "10.1212/WNL.0000000000201349",
language = "English",
volume = "100",
pages = "E107--E122",
journal = "Neurology",
issn = "0028-3878",
publisher = "Lippincott Williams & Wilkins",
number = "2",

}

RIS

TY - JOUR

T1 - Determinants of Perivascular Spaces in the General Population

T2 - A Pooled Cohort Analysis of Individual Participant Data

AU - Evans, Tavia E.

AU - Knol, Maria J.

AU - Schwingenschuh, Petra

AU - Wittfeld, Katharina

AU - Hilal, Saima

AU - Ikram, M. Arfan

AU - Dubost, Florian

AU - Van Wijnen, Kimberlin M.H.

AU - Katschnig, Petra

AU - Yilmaz, Pinar

AU - De Bruijne, Marleen

AU - Habes, Mohamad

AU - Chen, Christopher

AU - Langer, Sönke

AU - Völzke, Henry

AU - Ikram, M. Kamran

AU - Grabe, Hans J.

AU - Schmidt, Reinhold

AU - Adams, Hieab H.H.

AU - Vernooij, Meike W.

N1 - Publisher Copyright: © American Academy of Neurology.

PY - 2023

Y1 - 2023

N2 - Background and ObjectivesPerivascular spaces (PVS) are emerging markers of cerebral small vessel disease (CSVD), but research on their determinants has been hampered by conflicting results from small single studies using heterogeneous rating methods. In this study, we therefore aimed to identify determinants of PVS burden in a pooled analysis of multiple cohort studies using 1 harmonized PVS rating method.MethodsIndividuals from 10 population-based cohort studies with adult participants from the Uniform Neuro-Imaging of Virchow-Robin Spaces Enlargement consortium and the UK Biobank were included. On MRI scans, we counted PVS in 4 brain regions (mesencephalon, hippocampus, basal ganglia, and centrum semiovale) according to a uniform and validated rating protocol, both manually and automated using a deep learning algorithm. As potential determinants, we considered demographics, cardiovascular risk factors, APOE genotypes, and other imaging markers of CSVD. Negative binomial regression models were used to examine the association between these determinants and PVS counts.ResultsIn total, 39,976 individuals were included (age range 20-96 years). The average count of PVS in the 4 regions increased from the age 20 years (0-1 PVS) to 90 years (2-7 PVS). Men had more mesencephalic PVS (OR [95% CI] = 1.13 [1.08-1.18] compared with women), but less hippocampal PVS (0.82 [0.81-0.83]). Higher blood pressure, particularly diastolic pressure, was associated with more PVS in all regions (ORs between 1.04-1.05). Hippocampal PVS showed higher counts with higher high-density lipoprotein cholesterol levels (1.02 [1.01-1.02]), glucose levels (1.02 [1.01-1.03]), and APOE ϵ4-alleles (1.02 [1.01-1.04]). Furthermore, white matter hyperintensity volume and presence of lacunes were associated with PVS in multiple regions, but most strongly with the basal ganglia (1.13 [1.12-1.14] and 1.10 [1.09-1.12], respectively).DiscussionVarious factors are associated with the burden of PVS, in part regionally specific, which points toward a multifactorial origin beyond what can be expected from PVS-related risk factor profiles. This study highlights the power of collaborative efforts in population neuroimaging research.

AB - Background and ObjectivesPerivascular spaces (PVS) are emerging markers of cerebral small vessel disease (CSVD), but research on their determinants has been hampered by conflicting results from small single studies using heterogeneous rating methods. In this study, we therefore aimed to identify determinants of PVS burden in a pooled analysis of multiple cohort studies using 1 harmonized PVS rating method.MethodsIndividuals from 10 population-based cohort studies with adult participants from the Uniform Neuro-Imaging of Virchow-Robin Spaces Enlargement consortium and the UK Biobank were included. On MRI scans, we counted PVS in 4 brain regions (mesencephalon, hippocampus, basal ganglia, and centrum semiovale) according to a uniform and validated rating protocol, both manually and automated using a deep learning algorithm. As potential determinants, we considered demographics, cardiovascular risk factors, APOE genotypes, and other imaging markers of CSVD. Negative binomial regression models were used to examine the association between these determinants and PVS counts.ResultsIn total, 39,976 individuals were included (age range 20-96 years). The average count of PVS in the 4 regions increased from the age 20 years (0-1 PVS) to 90 years (2-7 PVS). Men had more mesencephalic PVS (OR [95% CI] = 1.13 [1.08-1.18] compared with women), but less hippocampal PVS (0.82 [0.81-0.83]). Higher blood pressure, particularly diastolic pressure, was associated with more PVS in all regions (ORs between 1.04-1.05). Hippocampal PVS showed higher counts with higher high-density lipoprotein cholesterol levels (1.02 [1.01-1.02]), glucose levels (1.02 [1.01-1.03]), and APOE ϵ4-alleles (1.02 [1.01-1.04]). Furthermore, white matter hyperintensity volume and presence of lacunes were associated with PVS in multiple regions, but most strongly with the basal ganglia (1.13 [1.12-1.14] and 1.10 [1.09-1.12], respectively).DiscussionVarious factors are associated with the burden of PVS, in part regionally specific, which points toward a multifactorial origin beyond what can be expected from PVS-related risk factor profiles. This study highlights the power of collaborative efforts in population neuroimaging research.

UR - http://www.scopus.com/inward/record.url?scp=85143284389&partnerID=8YFLogxK

U2 - 10.1212/WNL.0000000000201349

DO - 10.1212/WNL.0000000000201349

M3 - Journal article

C2 - 36253103

AN - SCOPUS:85143284389

VL - 100

SP - E107-E122

JO - Neurology

JF - Neurology

SN - 0028-3878

IS - 2

ER -

ID: 333347329