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Top 10 Cardiac Diagnosis Trends in 2024

GEMMS

This improves diagnostic accuracy and ultimately leads to better patient outcomes. Artificial Intelligence Artificial intelligence (AI) has revolutionized cardiac diagnosis by allowing for the analysis of extensive patient data to identify patterns and predict outcomes.

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MP-470543-006 TOWARDS A GLOBAL ARRHYTHMIC RISK SCORE FOR ICD PLACEMENT IN ISCHEMIC HEART DISEASE INCORPORATING NOVEL COMPUTATIONAL-DERIVED BIOMARKERS

HeartRhythm

Current guidelines for implantable cardioverter defibrillators (ICD), primarily based on LV ejection fraction (LVEF) are sub-optimal and have limitations.

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Role of Biomarkers of Myocardial Injury to Predict Adverse Outcomes in Hypertrophic Cardiomyopathy

Circulation: Cardiovascular Quality & Outcomes

Circulation: Cardiovascular Quality and Outcomes, Ahead of Print. Background:Serum troponins and CK-MB (creatine kinase-MB) are readily detectable and reliable cardiac-specific biomarkers of subclinical myocardial injury. This study explores the roles of cTnI (cardiac troponin I) and CK-MB in hypertrophic cardiomyopathy (HCM).Methods:This

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Evaluating real-world mortality risk after defibrillator implantation

The British Journal of Cardiology

Protection against the increased risk of sudden cardiac death (SCD) due to ventricular arrhythmias is offered by the implantation of cardiac defibrillators. This is a single-centre retrospective study on the outcomes of all patients who had a transvenous defibrillator implant in 2015. Data from 235 patients were analysed.

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Heart Vest Could Help Predict Sudden Cardiac Death Risk

DAIC

Better stratification of risk, the researchers say, would help clinicians to identify people in need of an implantable cardioverter defibrillator (ICD) – a device that monitors heart rhythm and shocks the heart back into a normal rhythm if needed.