Etiologic reclassification of cryptogenic stroke after implantable cardiac monitoring and computed tomography angiography re-assessment.


Journal

Journal of neurology
ISSN: 1432-1459
Titre abrégé: J Neurol
Pays: Germany
ID NLM: 0423161

Informations de publication

Date de publication:
Jan 2023
Historique:
received: 26 07 2022
accepted: 04 09 2022
revised: 25 08 2022
pubmed: 14 9 2022
medline: 7 1 2023
entrez: 13 9 2022
Statut: ppublish

Résumé

Different mechanisms may underlie cryptogenic stroke, including subclinical atrial fibrillation (AF), nonstenotic carotid plaques (NCP), and aortic arch atherosclerosis (AAA). In a cohort of cryptogenic stroke patients, we aimed to: (1) evaluate the prevalence of subclinical AF, NCP, and AAA, and reclassify the etiology accordingly; (2) compare the clinical features of patients with reclassified etiology with those with confirmed cryptogenic stroke. Data of patients hospitalized for cryptogenic stroke between January 2018 and February 2021 were retrospectively analyzed. Patients were included if they received implantable cardiac monitoring (ICM) to detect subclinical AF. Baseline computed tomography angiography (CTA) was re-evaluated to assess NCP and AAA. Since aortic plaques with ulceration/intraluminal thrombus were considered pathogenetic during the initial workup, only patients with milder AAA were included. Stroke etiology was reclassified as "cardioembolic", "atherosclerotic", or "mixed" based on the detection of AF and NCP/AAA. Patients with "true cryptogenic" stroke (no AF, ipsilateral NCP, or AAA detected) were compared with those with reclassified etiology. Among 63 patients included, 21 (33%) were diagnosed with AF (median follow-up time of 15 months), 12 (19%) had ipsilateral NCP, and 6 (10%) had AAA. Stroke etiology was reclassified in 30 patients (48%): cardioembolic in 14 (22%), atherosclerotic in 9 (14%), and mixed in 7 (11%). Patients with true cryptogenic stroke were younger compared to those with reclassified etiology (p = 0.001). One or more potential covert stroke sources can be recognized in half of the patients with a cryptogenic stroke through long-term cardiac monitoring and focused CTA re-assessment.

Identifiants

pubmed: 36098839
doi: 10.1007/s00415-022-11370-x
pii: 10.1007/s00415-022-11370-x
pmc: PMC9469058
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

377-385

Informations de copyright

© 2022. The Author(s).

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Auteurs

Francesco Mele (F)

Neurology Unit, Luigi Sacco University Hospital, Milan, Italy.

Giuseppe Scopelliti (G)

Department of Biomedical and Clinical Sciences, University of Milan, Via Giovanni Battista Grassi, 74, 20157, Milan, Italy.
Univ. Lille, Inserm, CHU Lille, U1172, LilNCog, Lille Neuroscience & Cognition, Lille, France.

Arianna Manini (A)

Department of Biomedical and Clinical Sciences, University of Milan, Via Giovanni Battista Grassi, 74, 20157, Milan, Italy.
Department of Pathophysiology and Transplantation, "Dino Ferrari" Center, University of Milan, Milan, Italy.

Carola Ferrari Aggradi (C)

Department of Biomedical and Clinical Sciences, University of Milan, Via Giovanni Battista Grassi, 74, 20157, Milan, Italy.

Matteo Baiardo (M)

Department of Biomedical and Clinical Sciences, University of Milan, Via Giovanni Battista Grassi, 74, 20157, Milan, Italy.

Marco Schiavone (M)

Cardiology Unit, Luigi Sacco University Hospital, Milan, Italy.

Maurizio Viecca (M)

Cardiology Unit, Luigi Sacco University Hospital, Milan, Italy.

Andrea Ianniello (A)

Radiology Unit, Luigi Sacco University Hospital, Milan, Italy.

Pierluigi Bertora (P)

Neurology Unit, Luigi Sacco University Hospital, Milan, Italy.
Department of Biomedical and Clinical Sciences, University of Milan, Via Giovanni Battista Grassi, 74, 20157, Milan, Italy.

Giovanni B Forleo (GB)

Cardiology Unit, Luigi Sacco University Hospital, Milan, Italy.

Leonardo Pantoni (L)

Neurology Unit, Luigi Sacco University Hospital, Milan, Italy. leonardo.pantoni@unimi.it.
Department of Biomedical and Clinical Sciences, University of Milan, Via Giovanni Battista Grassi, 74, 20157, Milan, Italy. leonardo.pantoni@unimi.it.

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