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Published on: August 9, 2024
Predictors of cardiac arrhythmic events in non coronary artery disease patients
C Balla1, F Vitali2, A Brieda2
1Cardiology Unit, Azienda Ospedaliero-Universitaria S. Anna di Ferrara, via A. Moro 8, Ferrara-Cona, FE, Italy. bllcst@unife.it.
Insights
Sudden cardiac death (SCD) risk stratification is vital. This review explores novel plasma biomarkers, including microRNAs and genetic factors, for predicting ventricular arrhythmias and SCD in non-coronary artery disease patients.
Area of Science:
- Cardiology
- Biomarkers
- Genetics
Background:
- Arrhythmic sudden cardiac death (SCD) is a significant global health issue, causing 15-20% of all deaths.
- Accurate risk stratification is essential for implementing preventive strategies.
- Current biomarkers for SCD prediction have yielded conflicting results, limiting clinical application.
Purpose of the Study:
- To review the role of plasma biomarkers in predicting ventricular arrhythmias and SCD.
- To focus on patients without coronary artery disease.
- To investigate the relationship between novel biomarkers (microRNAs, sex hormones, genetic factors) and SCD risk.
Main Methods:
- Literature review of studies on plasma biomarkers for SCD risk prediction.
- Focus on non-coronary artery disease populations.
- Analysis of emerging biomarkers like microRNAs, sex hormones, and genetic markers.
Main Results:
- Novel biomarkers such as microRNAs and sex hormones show promise in SCD risk prediction.
- Genetic factors are an emerging area in SCD risk assessment.
- Integration of these biomarkers may improve risk stratification in specific patient groups.
Conclusions:
- Plasma biomarkers, particularly novel ones like microRNAs and genetic markers, hold potential for improving SCD risk prediction.
- Further research is needed to validate these biomarkers for clinical use in non-coronary artery disease patients.
- Combining genetic and non-genetic biomarkers may offer a more comprehensive approach to SCD risk assessment.
Abstract:
Arrhythmic sudden cardiac death (SCD) represents a major worldwide public health problem accounting for 15-20% of deaths. Risk stratification to identify patients at risk of SCD is crucial in order to implement preventive measures in the general population. Several biomarkers have been tested exploring different pathophysiological mechanisms of cardiac conditions. Conflicting results have been described limiting so far their use in clinical practice. The use of new biomarkers such as microRNAs and sex hormones and the emerging role of genetic on risk prediction of SCD is a current research topic showing promising results.This review outlines the role of plasma biomarkers to predict ventricular arrhythmias and SCD in non coronary artery disease with a special focus on their relationship with the genetic biomarkers.
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