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Risk Prediction of CVD in the Asia-Pacific Region
Author(s): SCORE2 Asia-Pacific Writing Group , Steven HJ Hageman , Zijuan Huang , et al Added: 1 year ago

Demographic

Heart Failure
AI-ECG Enhances Heart Failure Risk Prediction
Added: 1 month ago Source:  Arrhythmia Academy
Artificial intelligence applied to electrocardiograms (ECG-AI) may offer a scalable way to identify individuals at high risk of developing heart failure (HF), potentially improving on current clinical risk estimators, according to a new pooled cohort analysis from the HeartShare/Accelerating Medicines Partnership (AMP) Heart Failure program.¹The study aimed to assess whether ECG-AI models… View more

Electrophysiology & Arrhythmia

Heart Failure
Hospital Frailty Risk Score in Heart Failure
Author(s): Zhenwei Teo , Ying Zi Oh , Weiliang Huang , et al Added: 1 year ago

Guidelines & Statements

Heart Failure
Cardiovascular Risk in Asian Immigrants in the UK
Author(s): Sachin G Nair , Aishwarya Lakshmi Vidyasagaran , Mohammadrafi Damirchi , et al Added: 5 days ago

Prevention & Chronic Conditions
GLP-1 RAs in T2D and Established or High-risk ASCVD
Author(s): Wanwarang Wongcharoen , Rungroj Krittayaphong , Wacin Buddhari , et al Added: 11 months ago

Cardiovascular Renal Metabolic

Prevention & Chronic Conditions
Undetectable hs-TnI Serves as a De-risking Marker
Author(s): Phattararuethai Sabkaewyod , Prin Vathesatogkit , Piyamitr Sritara Added: 1 year ago

Prevention & Chronic Conditions
ACC 26: AI-Based Retinal Imaging for Atherosclerotic Cardiovascular Risk
Author(s): Michael McConnell Added: 1 week ago
ACC.26 – Dr Michael McConnell (Stanford Health Care, Stanford, CA, US) joins us to discuss findings from a prospective, multicentre clinical trial evaluating whether artificial intelligence analysis of retinal images can identify patients at elevated atherosclerotic cardiovascular risk.Findings showed strong sensitivity and specificity in identifying those at risk of ASCVD in a diverse study… View more

Prevention & Chronic Conditions

Digital Health
False STEMI Score for Predicting False STEMI Activation
Author(s): Natnicha Pongbangli , Thanaporn Anuchai , Sasivimon Jai-aue , et al Added: 3 months ago

Digital Health

Prevention & Chronic Conditions
ACC 2026: CHIP-BCIS3 – Percutaneous LV Unloading in High-Risk PCI
Author(s): Divaka Perera Added: 1 week ago
ACC 2026 — Prof Divaka Perera (Guy's & St Thomas' Hospital and King's College London, UK) joins us to discuss findings from the CHIP-BCIS3 trial, examining the role of percutaneous left ventricular unloading in patients undergoing high-risk coronary intervention.This phase 3 randomised controlled trial enrolled 300 patients with severe left ventricular dysfunction and extensive coronary artery… View more

Intervention
New Multi-Ancestry Polygenic Score Improves BMI and Obesity Prediction Across the Lifespan
Added: 8 months ago Source:  Radcliffe CVRM
A new multi-ancestry polygenic score (PGS) for body mass index (BMI), developed using genetic data from over 5.1 million people, substantially improves the prediction of obesity across the life course compared to previous scores.¹ The research, which drew data from the GIANT consortium and 23andMe, demonstrates particular value in predicting obesity risk from early childhood and in understanding… View more

Cardiovascular Renal Metabolic

Demographic