Background: Silent brain infarcts (SBI), a finding on neuroimaging, are associated with higher risk of future stroke. Atrial Fibrillation (AF) has been previously identified as a cause of SBI.

Objectives: The aim of this study is to determine the prevalence of and risk factors for SBI in patients with AF and low-to-moderate embolic risk according to CHADS and CHADSVASc score.

Methods: Patients with a history of AF based on medical records who scored 0-1 in the CHADS score were selected from the Seville urban area using the Andalusian electronic healthcare database (DIRAYA). Demographic and clinical data were collected and a 3T brain MRI was performed on patients older than 50 years and with absence of neurological symptoms.

Results: 66 of the initial 443 patients (14.9%) and 41 of the 349 patients with low risk according to CHADSVASc score (11.7%) presented at least 1 SBI. After adjusted multivariable analysis, an older age (OR 3.84, 95% CI 1.07-13.76) and left atrial (LA) enlargement (OR 3.13, 95% CI 1.15-8.55) were associated with SBI in the whole cohort, while only LA enlargement was associated with SBI in the low-risk cohort (OR 3.19, 95% CI 1.33-7.63).

Conclusions: LA enlargement on echocardiogram was associated with SBI in patients with AF and low or moderate embolic risk according to CHADS and in the low-risk population according to CHADSVASc. Although further studies are needed, a neuroimaging screening might be justified in these patients to guide medical therapies to improve stroke prevention.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s00415-020-09887-0DOI Listing

Publication Analysis

Top Keywords

associated sbi
12
prevalence risk
8
risk factors
8
silent brain
8
brain infarcts
8
patients
8
sbi patients
8
embolic risk
8
risk chads
8
patients low
8

Similar Publications

Silent brain infarctions in patients with rheumatic mitral stenosis.

Clin Neurol Neurosurg

December 2024

Neurology department (I.N, M.F.B), Hassan II University Hospital, Fez, Morocco; Faculty of Medicine and Pharmacy, Sidi Mohammed Ben Abdallah University, Fez, Morocco.

Background: Silent brain infarctions (SBI) are commonly detected in brain imaging. The association of SBI with rheumatic mitral stenosis (MS) is not clearly relevant. Based on magnetic resonance imaging, we aimed to describe the prevalence of SBI in patients with rheumatic MS and the cardiac abnormalities related to their occurrence.

View Article and Find Full Text PDF

Background: Intracerebral hemorrhage (ICH) is a severe condition associated with high mortality and disability rates. Oxidative stress plays a critical role in the development of secondary brain injury (SBI) following ICH. Previous research has demonstrated that Annao Pingchong decoction (ANPCD) treatment for ICH has antioxidant effects, but the exact mechanism is not yet fully understood.

View Article and Find Full Text PDF

Objective: Babies born between 27 and 31 weeks of gestation contribute substantially towards infant mortality and morbidity. In England, their care is delivered in maternity services colocated with highly specialised neonatal intensive care units (NICU) or less specialised local neonatal units (LNU). We investigated whether birth setting offered survival and/or morbidity advantages to inform National Health Service delivery.

View Article and Find Full Text PDF

Purpose: To explore the association between tumor necrosis factor-associated apoptosis-inducing ligand (TRAIL) gene polymorphism and susceptibility to diabetic periodontitis.

Methods: A total of 150 patients with type 2 diabetes were selected from September 2022 to September 2023. The patients were divided into combined group(n=50), non-combined group (n=50) and control group (n=50) according to whether they had periodontitis.

View Article and Find Full Text PDF

Background: The composite physiologic index (CPI) was developed to estimate the extent of interstitial lung disease (ILD) in idiopathic pulmonary fibrosis (IPF) patients based on pulmonary function tests (PFTs). The CALIPER-revised version of the CPI (CALIPER-CPI) was also developed to estimate the volume fraction of ILD measured by CALIPER, an automated quantitative CT postprocessing software. Recently, artificial intelligence-based quantitative CT image analysis software (AIQCT), which can be used to quantify the bronchial volume separately from the ILD volume, was developed and validated in IPF.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!