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dc.date.accessioned2020-06-25T18:20:35Z
dc.date.available2020-06-25T18:20:35Z
dc.date.created2020-01-29T23:34:26Z
dc.date.issued2020
dc.identifier.citationVigen, Thea Ihle-Hansen, Håkon Lyngbakken, Magnus Berge, Trygve Thommessen, Bente Ihle-Hansen, Hege Orstad, Eivind Bjørkan Enger, Steve Røsjø, Helge Tveit, Arnljot Rønning, Ole M. . Carotid Atherosclerosis is Associated with Middle Cerebral Artery Pulsatility Index. Journal of Neuroimaging. 2019
dc.identifier.urihttp://hdl.handle.net/10852/77224
dc.description.abstractBACKGROUND AND PURPOSE Pulsatility index (PI) in the middle cerebral artery (MCA) is considered a measure of peripheral vascular resistance. Several established cardiovascular risk factors are common for both MCA PI and carotid atherosclerosis. Accordingly, in the present study we hypothesized an association between ultrasound‐derived indices of carotid atherosclerosis and MCA PI. METHODS All residents in Akershus County, born in 1950, were invited to a cardiovascular examination, The Akershus Cardiac Examination (ACE) 1950 Study (2012‐2015). A thorough ultrasound examination was performed to assess indices of atherosclerosis in the carotid arteries, and PI in the MCAs. In all, 3154 (85.1%) had adequate transcranial and carotid data. Associations between indices of carotid atherosclerosis and MCA PI were assessed by regression analyses adjusted for established cardiovascular risk factors. RESULTS Mean age was 64 (standard deviation [SD]: .6) years, and 1,357 (43%) were women. Mean MCA PI was .97 (SD: .17). Participants in the upper quartile of MCA PI had higher pulse pressure, more frequently hypertension, diabetes mellitus, and a history of coronary artery disease. Both carotid plaque score (B .007 [95% CI: .003‐.010]) and carotid intimamedia thickness (B .173 [95% CI: .120‐.226]) were significantly associated with MCA PI in adjusted analysis. The model R 2 was .055. CONCLUSION In a population‐based sample of middle‐aged adults, ultrasound‐derived indices of carotid atherosclerosis were independently associated with MCA PI. However, the overall explained variance of MCA PI was low, suggesting other factors than atherosclerosis and cardiovascular risk factors to play an important role for MCA PI.
dc.languageEN
dc.rightsAttribution-NonCommercial 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/
dc.titleCarotid Atherosclerosis is Associated with Middle Cerebral Artery Pulsatility Index
dc.typeJournal article
dc.creator.authorVigen, Thea
dc.creator.authorIhle-Hansen, Håkon
dc.creator.authorLyngbakken, Magnus
dc.creator.authorBerge, Trygve
dc.creator.authorThommessen, Bente
dc.creator.authorIhle-Hansen, Hege
dc.creator.authorOrstad, Eivind Bjørkan
dc.creator.authorEnger, Steve
dc.creator.authorRøsjø, Helge
dc.creator.authorTveit, Arnljot
dc.creator.authorRønning, Ole M.
cristin.unitcode185,53,82,0
cristin.unitnameKlinikk for indremedisin og laboratoriefag
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.cristin1785741
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Journal of Neuroimaging&rft.volume=&rft.spage=&rft.date=2019
dc.identifier.jtitleJournal of Neuroimaging
dc.identifier.volume30
dc.identifier.issue2
dc.identifier.startpage233
dc.identifier.endpage239
dc.identifier.doihttps://doi.org/10.1111/jon.12684
dc.identifier.urnURN:NBN:no-80308
dc.type.documentTidsskriftartikkel
dc.type.peerreviewedPeer reviewed
dc.source.issn1051-2284
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/77224/2/Vigen_et_al-2020-Journal_of_Neuroimaging.pdf
dc.type.versionPublishedVersion


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