Symptomatic carotid artery intraluminal thrombus: risk of medical management failure and distal embolization.

artery cervical embolic stroke

Journal

Journal of neurointerventional surgery
ISSN: 1759-8486
Titre abrégé: J Neurointerv Surg
Pays: England
ID NLM: 101517079

Informations de publication

Date de publication:
24 Nov 2023
Historique:
received: 18 09 2023
accepted: 11 11 2023
medline: 2 12 2023
pubmed: 2 12 2023
entrez: 2 12 2023
Statut: aheadofprint

Résumé

Carotid artery intraluminal thrombus (ILT), or free-floating thrombus, is an uncommon cerebrovascular entity with considerable equipoise regarding its clinical management. Likewise, in patients treated with medical management (MM), distal embolization and/or intracranial hemorrhage (ICH) may still occur. All patients with symptomatic ILT from 2016 to 2023 were identified from our tertiary care institution. Patients with MM failure (recurrent cerebral ischemia and/or symptomatic ICH) were compared with patients with MM non-failure. Differences in ILT volume and length were calculated. Receiver operator characteristic (ROC) curve analysis was used to identify the cut-off volume and length for risk of MM failure. In total, 45 patients with ILT were identified with 41 treated with frontline MM. Of these 41 patients treated with MM, seven (17%) had MM failure with six (14.6%) having new embolic stroke and one (2.3%) with symptomatic ICH. Patients with MM failure had a significantly higher mean thrombus volume than MM non-failure patients (257 mm Carotid ILTs that fail MM are significantly larger and longer. These findings suggest that a thrombus volume of 90 mm

Sections du résumé

BACKGROUND BACKGROUND
Carotid artery intraluminal thrombus (ILT), or free-floating thrombus, is an uncommon cerebrovascular entity with considerable equipoise regarding its clinical management. Likewise, in patients treated with medical management (MM), distal embolization and/or intracranial hemorrhage (ICH) may still occur.
METHODS METHODS
All patients with symptomatic ILT from 2016 to 2023 were identified from our tertiary care institution. Patients with MM failure (recurrent cerebral ischemia and/or symptomatic ICH) were compared with patients with MM non-failure. Differences in ILT volume and length were calculated. Receiver operator characteristic (ROC) curve analysis was used to identify the cut-off volume and length for risk of MM failure.
RESULTS RESULTS
In total, 45 patients with ILT were identified with 41 treated with frontline MM. Of these 41 patients treated with MM, seven (17%) had MM failure with six (14.6%) having new embolic stroke and one (2.3%) with symptomatic ICH. Patients with MM failure had a significantly higher mean thrombus volume than MM non-failure patients (257 mm
CONCLUSIONS CONCLUSIONS
Carotid ILTs that fail MM are significantly larger and longer. These findings suggest that a thrombus volume of 90 mm

Identifiants

pubmed: 38041660
pii: jnis-2023-021044
doi: 10.1136/jnis-2023-021044
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© Author(s) (or their employer(s)) 2023. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.

Auteurs

Derrek Schartz (D)

Imaging Sciences, University of Rochester Medical Center, Rochester, New York, USA derrek_schartz@urmc.rochester.edu.
Neurosurgery, University of Rochester Medical Center, Rochester, New York, USA.

Stephen Susa (S)

Neurosurgery, University of Rochester Medical Center, Rochester, New York, USA.

Nathaniel Ellens (N)

Neurosurgery, University of Rochester Medical Center, Rochester, New York, USA.

Sajal Medha K Akkipeddi (SMK)

Neurosurgery, University of Rochester Medical Center, Rochester, New York, USA.

Clifton Houk (C)

Neurosurgery, University of Rochester Medical Center, Rochester, New York, USA.

Tarun Bhalla (T)

Neurosurgery, University of Rochester Medical Center, Rochester, New York, USA.

Thomas Mattingly (T)

Neurosurgery, University of Rochester Medical Center, Rochester, New York, USA.

David Hasan (D)

Neurosurgery, Duke University, Durham, North Carolina, USA.

Matthew T Bender (MT)

Neurosurgery, University of Rochester Medical Center, Rochester, New York, USA.

Classifications MeSH