Histological Analysis of Carotid Plaques: The Predictors of Stroke Risk.


Journal

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
ISSN: 1532-8511
Titre abrégé: J Stroke Cerebrovasc Dis
Pays: United States
ID NLM: 9111633

Informations de publication

Date de publication:
Mar 2022
Historique:
received: 19 10 2021
revised: 26 11 2021
accepted: 29 11 2021
pubmed: 27 12 2021
medline: 8 3 2022
entrez: 26 12 2021
Statut: ppublish

Résumé

The morphology and histological structure of the atherosclerotic plaque seem critical to its stability. Our study aimed to identify the epidemiological, morphological and histological parameters associated with stable and unstable plaques. The study included 280 plaques harvested from 269 consecutive patients. Epidemiological and demographic data were recorded as well as the histological features of plaque, i.e. calcifications, myxoid changes, bleeding into plaque, presence of thrombus, inflammation, macrophages, giant cell reaction, siderophages, neovascularization and plaque ossification. All specimens were classified according to the American Heart Association (AHA). Monofactorial analysis identified three significant histological predictors for the symptomatic plaque: a plaque with a large necrotic core (odds ratio, OR=2.0, p = 0.03), thrombosis (OR=3.7, p = 0.01) and the formation of foamy macrophages (OR=2.0, p = 0.01). Multifactorial logistic regression revealed that the presence of foamy macrophages (OR=1.9, p = 0.03) and thrombosis (OR=3.5, p = 0.02) were significant predictors of symptomatic stenosis. Symptomatic plaques were significantly more frequently classified as AHA type VI than AHA type IV-V compared to asymptomatic ones (OR=1.8, p = 0.03). Our study shows that no single histological feature, except for the presence of foamy macrophages and thrombosis on the plaque, is predictive of plaque instability. Rather, a complex plaque structure (AHA type VI) is predictive of plaque instability. Our findings should be kept in mind during the assessment of non-invasive imaging and stroke risk estimation.

Identifiants

pubmed: 34954598
pii: S1052-3057(21)00667-4
doi: 10.1016/j.jstrokecerebrovasdis.2021.106262
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

106262

Informations de copyright

Copyright © 2021 Elsevier Inc. All rights reserved.

Auteurs

Norbert Svoboda (N)

Department of Neurosurgery and Neurooncology, First Faculty of Medicine, Charles University in Prague and Military University Hospital Prague, Czech Republic. Electronic address: Norbert.Svoboda@uvn.cz.

Richard Voldřich (R)

Department of Neurosurgery and Neurooncology, First Faculty of Medicine, Charles University in Prague and Military University Hospital Prague, Czech Republic; U Vojenské nemocnice 1200/2, Prague 6, 16000, Czechia. Electronic address: Richard.Voldrich@uvn.cz.

Václav Mandys (V)

Department of Pathology, Third Faculty of Medicine - Charles University, Prague, Czech Republic. Electronic address: Vaclav.Mandys@fnkv.cz.

Tomas Hrbáč (T)

Department of Neurosurgery, University Hospital and Ostrava University Medical Faculty, Ostrava, Czech Republic. Electronic address: Tomas.Hrbac@fno.cz.

Petra Kešnerová (P)

Department of Neurology -Second Faculty of Medicine, Charles University and University Hospital Motol, Prague, Czech Republic. Electronic address: Petra.Kesnerova@fnmotol.cz.

Martin Roubec (M)

University Hospital and Ostrava University Medical Faculty, Ostrava, Czech Republic. Electronic address: Martin.Roubec@osu.cz.

David Školoudík (D)

Center for Health Research, Medical Faculty, Ostrava University, Ostrava, Czech Republic. Electronic address: Skoloudik@mail.cz.

David Netuka (D)

Department of Neurosurgery and Neurooncology, First Faculty of Medicine, Charles University in Prague and Military University Hospital Prague, Czech Republic. Electronic address: David.Netuka@uvn.cz.

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