Differential Associations between Abnormal Cardiac Left Ventricular Geometry Types and Cerebral White Matter Disease.

Left ventricular geometry mass index relative wall thickness white matter disease

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:
01 Apr 2024
Historique:
received: 07 06 2023
revised: 19 02 2024
accepted: 01 04 2024
medline: 4 4 2024
pubmed: 4 4 2024
entrez: 3 4 2024
Statut: aheadofprint

Résumé

Reduced cardiac outflow due to left ventricular hypertrophy has been suggested as a potential risk factor for development of cerebral white matter disease. Our study aimed to examine the correlation between left ventricular geometry and white matter disease volume to establish a clearer understanding of their relationship, as it is currently not well-established. Consecutive patients from 2016 to 2021 who were ≥18 years and underwent echocardiography, cardiac MRI, and brain MRI within one year were included. Four categories of left ventricular geometry were defined based on left ventricular mass index and relative wall thickness on echocardiography. White matter disease volume was quantified using an automated algorithm applied to axial T2 FLAIR images and compared across left ventricular geometry categories. We identified 112 patients of which 34.8% had normal left ventricular geometry, 20.5% had eccentric hypertrophy, 21.4% had concentric remodeling, and 23.2% had concentric hypertrophy. White matter disease volume was highest in patients with concentric hypertrophy and concentric remodeling, compared to eccentric hypertrophy and normal morphology with a trend-P value of 0.028. Patients with higher relative wall thickness had higher white matter disease volume (10.73±10.29 cc vs 5.89±6.46 cc, P=0.003), compared to those with normal relative wall thickness. Our results showed that abnormal left ventricular geometry is associated with higher white matter disease burden, particularly among those with abnormal relative wall thickness. Future studies are needed to explore causative relationships and potential therapeutic options that may mediate the adverse left ventricular remodeling and its effect in slowing white matter disease progression.

Identifiants

pubmed: 38570059
pii: S1052-3057(24)00154-X
doi: 10.1016/j.jstrokecerebrovasdis.2024.107709
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

107709

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Déclaration de conflit d'intérêts

Declaration of competing interest NONE

Auteurs

Amr M Salem (AM)

Department of Neurology, Mayo Clinic, Jacksonville, FL. Electronic address: amr_mostafa_95@hotmail.com.

Nihas R Mateti (NR)

Department of Neurology, Mayo Clinic, Jacksonville, FL. Electronic address: raja.nihas@gmail.com.

Demilade Adedinsewo (D)

Department of Cardiology, Mayo Clinic, Jacksonville, FL. Electronic address: Adedinsewo.Demilade@mayo.edu.

Mutlu Demirer (M)

Department of Radiology, Mayo Clinic, Jacksonville, FL. Electronic address: demirer.mutlu@mayo.edu.

Hossam Youssef (H)

Department of Neurology, Mayo Clinic, Jacksonville, FL. Electronic address: Youssef.hossam@mayo.edu.

Bhrugun Anisetti (B)

Department of Neurology, Mayo Clinic, Jacksonville, FL. Electronic address: Anisetti.Bhrugun@mayo.edu.

Md Manjurul Islam Shourav (MMI)

Department of Neurology, Mayo Clinic, Jacksonville, FL. Electronic address: Shourav.MdManjurulIsl@mayo.edu.

Erik H Middlebrooks (EH)

Department of Radiology, Mayo Clinic, Jacksonville, FL. Electronic address: middlebrooks.erik@mayo.edu.

James F Meschia (JF)

Department of Neurology, Mayo Clinic, Jacksonville, FL. Electronic address: meschia.james@mayo.edu.

Thomas G Brott (TG)

Department of Neurology, Mayo Clinic, Jacksonville, FL. Electronic address: brott.thomas@mayo.edu.

Michelle P Lin (MP)

Department of Neurology, Mayo Clinic, Jacksonville, FL. Electronic address: lin.michelle@mayo.edu.

Classifications MeSH