Intracranial carotid artery calcification morphology differs in patients with lacunar and nonlacunar acute ischemic strokes.


Journal

European journal of neurology
ISSN: 1468-1331
Titre abrégé: Eur J Neurol
Pays: England
ID NLM: 9506311

Informations de publication

Date de publication:
04 2023
Historique:
revised: 18 01 2023
received: 06 12 2022
accepted: 19 01 2023
pubmed: 25 1 2023
medline: 8 3 2023
entrez: 24 1 2023
Statut: ppublish

Résumé

Intracranial carotid artery calcifications (ICACs) are a common finding on noncontrast computed tomography (NCCT) and have been associated with an increased risk of ischemic stroke. However, no data are available about the association between ICAC patterns and stroke etiology. We investigated the association between ICAC patterns and etiological subtypes of ischemic stroke. We retrospectively analyzed a single center cohort of patients admitted for ischemic stroke with known etiology. Each carotid artery was evaluated separately on NCCT scans to define the ICAC pattern (intimal, medial, mixed). The association between ICAC patterns and stroke etiology was investigated using logistic regression models adjusting for relevant confounders. A total of 485 patients were included (median age = 78 [interquartile range (IQR) = 70-85] years, 243 [50%] female, median National Institutes of Health Stroke Scale = 6 [IQR = 3-12]). Frequencies of ICAC patterns were: intimal, n = 96 (20%); medial, n = 273 (56%); mixed, n = 51 (11%), indistinct/absent, n = 65 (13%) patients. Intimal pattern was more frequent in lacunar compared with nonlacunar (33% vs. 16%, p < 0.001) stroke etiology, whereas medial pattern was less frequent in lacunar compared with nonlacunar stroke (36% vs. 62%, p < 0.001). After adjustment for confounders, intimal ICAC predominant pattern remained associated with lacunar stroke etiology in two multivariate models (Model 1: adjusted odds ratio [aOR] = 2.08, 95% confidence interval [CI] = 1.20-3.56; Model 2: aOR = 2.01, 95% CI = 1.16-3.46). Our study suggests that intimal ICAC pattern is associated with lacunar stroke and may serve as a marker for lacunar stroke etiology, possibly strengthening the relation between endothelial dysfunction and lacunar stroke.

Sections du résumé

BACKGROUND AND PURPOSE
Intracranial carotid artery calcifications (ICACs) are a common finding on noncontrast computed tomography (NCCT) and have been associated with an increased risk of ischemic stroke. However, no data are available about the association between ICAC patterns and stroke etiology. We investigated the association between ICAC patterns and etiological subtypes of ischemic stroke.
METHODS
We retrospectively analyzed a single center cohort of patients admitted for ischemic stroke with known etiology. Each carotid artery was evaluated separately on NCCT scans to define the ICAC pattern (intimal, medial, mixed). The association between ICAC patterns and stroke etiology was investigated using logistic regression models adjusting for relevant confounders.
RESULTS
A total of 485 patients were included (median age = 78 [interquartile range (IQR) = 70-85] years, 243 [50%] female, median National Institutes of Health Stroke Scale = 6 [IQR = 3-12]). Frequencies of ICAC patterns were: intimal, n = 96 (20%); medial, n = 273 (56%); mixed, n = 51 (11%), indistinct/absent, n = 65 (13%) patients. Intimal pattern was more frequent in lacunar compared with nonlacunar (33% vs. 16%, p < 0.001) stroke etiology, whereas medial pattern was less frequent in lacunar compared with nonlacunar stroke (36% vs. 62%, p < 0.001). After adjustment for confounders, intimal ICAC predominant pattern remained associated with lacunar stroke etiology in two multivariate models (Model 1: adjusted odds ratio [aOR] = 2.08, 95% confidence interval [CI] = 1.20-3.56; Model 2: aOR = 2.01, 95% CI = 1.16-3.46).
CONCLUSIONS
Our study suggests that intimal ICAC pattern is associated with lacunar stroke and may serve as a marker for lacunar stroke etiology, possibly strengthening the relation between endothelial dysfunction and lacunar stroke.

Identifiants

pubmed: 36692888
doi: 10.1111/ene.15704
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

963-969

Informations de copyright

© 2023 European Academy of Neurology.

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Auteurs

Federico Mazzacane (F)

Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.
Department of Cerebrovascular Disease, Scientific Institute for Research and Health Care Mondino Foundation, Pavia, Italy.

Beatrice Del Bello (B)

Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.

Federica Ferrari (F)

Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.
Department of Cerebrovascular Disease, Scientific Institute for Research and Health Care Mondino Foundation, Pavia, Italy.

Alessandra Persico (A)

Department of Cerebrovascular Disease, Scientific Institute for Research and Health Care Mondino Foundation, Pavia, Italy.

Elisa Rognone (E)

Department of Neuroradiology, Scientific Institute for Research and Health Care Mondino Foundation, Pavia, Italy.

Anna Pichiecchio (A)

Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.
Department of Neuroradiology, Scientific Institute for Research and Health Care Mondino Foundation, Pavia, Italy.

Alessandro Padovani (A)

Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy.
Neurology Unit, Department of Neurological Sciences and Vision, ASST-Spedali Civili, Brescia, Italy.

Anna Cavallini (A)

Department of Cerebrovascular Disease, Scientific Institute for Research and Health Care Mondino Foundation, Pavia, Italy.

Andrea Morotti (A)

Neurology Unit, Department of Neurological Sciences and Vision, ASST-Spedali Civili, Brescia, Italy.

Francesco Arba (F)

Stroke Unit, Careggi University Hospital, Florence, Italy.

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