Background: Optimization of the detection of atrial fibrillation following stroke is mandatory. Unfortunately, access to long-term cardiac monitoring is limited in many centers. The aim of this study was to assess the potential usefulness of three routine biological markers, troponin, D-dimers and BNP, measured in acute stroke phase in the selection of patients at risk of cardio-embolic stroke.

Methods: Troponin, D-Dimers and BNP were measured within 48 h after admission for ischemic stroke in 634 patients. Stroke mechanism was defined at the 3 months follow-up visit using ASCOD classification using a standardized work-up. Association between clinical, radiological and biological markers and stroke mechanism was evaluated using logistic regression analyses.

Results: 159 patients (25.1% of total study population) had a cardiac mechanism. On multivariate analysis, admission initial stroke severity (OR 1.04, 95 CI% 1.004-1.07, p < 0.05) history of heart failure (OR 3.03, 95% CI 1.19-7.73, p < 0.05), ECG abnormalities and high BNP value (OR 4.34, 95% CI 2.59-7.29, p < 0.05) were associated with pure cardiac stroke mechanism.

Conclusion: High BNP value measured within 48 h after stroke admission is an independent predictor of cardiac stroke mechanism. Its measurement might be used to improve the selection of patients for whom further cardiologic investigations such as continuous long term ECG monitoring would be the most useful. BNP should be added to the standard admission-work-up for stroke patients.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.ajem.2018.05.010DOI Listing

Publication Analysis

Top Keywords

biological markers
12
ischemic stroke
8
troponin d-dimers
8
d-dimers bnp
8
bnp measured
8
stroke mechanism
8
stroke
7
contribution routine
4
routine cardiac
4
cardiac biological
4

Similar Publications

The role of circulating metabolites on child development is understudied. We investigated associations between children's serum metabolome and early childhood development (ECD). Untargeted metabolomics was performed on serum samples of 5,004 children aged 6-59 months, a subset of participants from the Brazilian National Survey on Child Nutrition (ENANI-2019).

View Article and Find Full Text PDF

Using Multi-Omics Methods to Understand Gouty Arthritis.

Curr Rheumatol Rev

January 2025

Department of Rheumatology, Beijing Jishuitan Hospital, Guizhou Hospital, China.

Gouty arthritis is a common arthritic disease caused by the deposition of monosodium urate crystals in the joints and the tissues around it. The main pathogenesis of gout is the inflammation caused by the deposition of monosodium urate crystals. Omics studies help us evaluate global changes in gout during recent years, but most studies used only a single omics approach to illustrate the mechanisms of gout.

View Article and Find Full Text PDF

Bioinformatics Analysis Reveals Microrchidia Family Genes as the Prognostic and Therapeutic Markers for Colorectal Cancer.

Endocr Metab Immune Disord Drug Targets

January 2025

Department of Laboratory Medicine, Taizhou First People's Hospital, Huangyan Hospital of Wenzhou Medical University, Taizhou, Zhejiang, China.

Aim: The aim of this study is to examine the role of the microrchidia (MORC) family, a group of chromatin remodeling proteins, as the therapeutic and prognostic markers for colorectal cancer (CRC).

Background: MORC protein family genes are a highly conserved nucleoprotein superfamily whose members share a common domain but have distinct biological functions. Previous studies have analyzed the roles of MORCs as epigenetic regulators and chromatin remodulators; however, the involvement of MORCs in the development and pathogenesis of CRC was less examined.

View Article and Find Full Text PDF

Background: Distinctive heterogeneity characterizes diffuse large B-cell lymphoma (DLBCL), one of the most frequent types of non-Hodgkin's lymphoma. Mitochondria have been demonstrated to be closely involved in tumorigenesis and progression, particularly in DLBCL.

Objective: The purposes of this study were to identify the prognostic mitochondria-related genes (MRGs) in DLBCL, and to develop a risk model based on MRGs and machine learning algorithms.

View Article and Find Full Text PDF

Phenolic compounds (PC) were analyzed by UHPLC-ESI-QTOF-MS in two sorghum genotypes, harvested in two growing seasons (GS) at five distinct days after flowering (DAF) to evaluate how genotype/GS influences the PC synthesis and antioxidant capacity during grain growth. Total phenolic contents were strongly correlated with antioxidant capacity ( > 0.9, < 0.

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!