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Differential progression of coronary atherosclerosis according to plaque composition

2021-12Artigo científico Acesso aberto
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dc.contributor.authorYoon, Yeonyee E.
dc.contributor.authorBaskaran, Lohendran
dc.contributor.authorLee, Benjamin C.
dc.contributor.authorPandey, Mohit Kumar
dc.contributor.authorGoebel, Benjamin
dc.contributor.authorLee, Sang Eun
dc.contributor.authorSung, Ji Min
dc.contributor.authorAndreini, Daniele
dc.contributor.authorAl-Mallah, Mouaz H.
dc.contributor.authorBudoff, Matthew J.
dc.contributor.authorCademartiri, Filippo
dc.contributor.authorChinnaiyan, Kavitha
dc.contributor.authorChoi, Jung Hyun
dc.contributor.authorChun, Eun Ju
dc.contributor.authorConte, Edoardo
dc.contributor.authorGottlieb, Ilan
dc.contributor.authorHadamitzky, Martin
dc.contributor.authorKim, Yong Jin
dc.contributor.authorLee, Byoung Kwon
dc.contributor.authorLeipsic, Jonathon A.
dc.contributor.authorMaffei, Erica
dc.contributor.authorMarques, Hugo
dc.contributor.authorPinto Marques, Hugo
dc.contributor.authorde Araújo Gonçalves, Pedro
dc.contributor.authorPontone, Gianluca
dc.contributor.authorShin, Sanghoon
dc.contributor.authorNarula, Jagat
dc.contributor.authorBax, Jeroen J.
dc.contributor.authorLin, Fay Yu Huei
dc.contributor.authorShaw, Leslee
dc.contributor.authorChang, Hyuk Jae
dc.contributor.institutionNOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)
dc.contributor.pblNature Publishing Group
dc.date.accessioned2021-09-22T02:13:38Z
dc.date.available2021-09-22T02:13:38Z
dc.date.issued2021-12
dc.description.abstractPatient-specific phenotyping of coronary atherosclerosis would facilitate personalized risk assessment and preventive treatment. We explored whether unsupervised cluster analysis can categorize patients with coronary atherosclerosis according to their plaque composition, and determined how these differing plaque composition profiles impact plaque progression. Patients with coronary atherosclerotic plaque (n = 947; median age, 62 years; 59% male) were enrolled from a prospective multi-national registry of consecutive patients who underwent serial coronary computed tomography angiography (median inter-scan duration, 3.3 years). K-means clustering applied to the percent volume of each plaque component and identified 4 clusters of patients with distinct plaque composition. Cluster 1 (n = 52), which comprised mainly fibro-fatty plaque with a significant necrotic core (median, 55.7% and 16.0% of the total plaque volume, respectively), showed the least total plaque volume (PV) progression (+ 23.3 mm3), with necrotic core and fibro-fatty PV regression (− 5.7 mm3 and − 5.6 mm3, respectively). Cluster 2 (n = 219), which contained largely fibro-fatty (39.2%) and fibrous plaque (46.8%), showed fibro-fatty PV regression (− 2.4 mm3). Cluster 3 (n = 376), which comprised mostly fibrous (62.7%) and calcified plaque (23.6%), showed increasingly prominent calcified PV progression (+ 21.4 mm3). Cluster 4 (n = 300), which comprised mostly calcified plaque (58.7%), demonstrated the greatest total PV increase (+ 50.7mm3), predominantly increasing in calcified PV (+ 35.9 mm3). Multivariable analysis showed higher risk for plaque progression in Clusters 3 and 4, and higher risk for adverse cardiac events in Clusters 2, 3, and 4 compared to that in Cluster 1. Unsupervised clustering algorithms may uniquely characterize patient phenotypes with varied atherosclerotic plaque profiles, yielding distinct patterns of progressive disease and outcome.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent3838766
dc.identifier.doi10.1038/s41598-021-96616-w
dc.identifier.issn2045-2322
dc.identifier.otherPURE: 33726454
dc.identifier.otherPURE UUID: d1ff57c4-1d1a-4bad-9555-943e6a84c27e
dc.identifier.otherScopus: 85113344323
dc.identifier.otherWOS: 000691025800016
dc.identifier.otherPubMed: 34429500
dc.identifier.urihttp://hdl.handle.net/10362/124961
dc.identifier.urlhttps://www.scopus.com/pages/publications/85113344323
dc.language.isoeng
dc.peerreviewedyes
dc.subjectGeneral
dc.titleDifferential progression of coronary atherosclerosis according to plaque compositionen
dc.title.subtitlea cluster analysis of PARADIGM registry dataen
dc.typejournal article
degois.publication.issue1
degois.publication.titleScientific Reports
degois.publication.volume11
dspace.entity.typePublication
person.familyNamePinto Marques
person.givenNameHugo
person.identifier.orcid0000-0003-3540-0488
person.identifier.scopus-author-id24537571800
rcaap.rightsopenAccess
relation.isAuthorOfPublicationa3ed0804-c7c1-437a-b08c-931f4de4b3b4
relation.isAuthorOfPublication.latestForDiscoverya3ed0804-c7c1-437a-b08c-931f4de4b3b4

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