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Narendra Singh
Job title: Adjunct Clinical Assistant Professor
Author
Yutao Guo
Research Area(s) / Expertise:
Author
Author(s):
Harriette Van Spall
,
Mark Petrie
Added:
2 years ago
HFA 2024 — Join experts, Dr Harriette Van Spall (McMaster University, CA) and Dr Mark Petrie (University of Glasgow, UK) for an insightful wrap up of the novel data presented at 2024's Heart Failure Congress.00:24 - STEP HFpEF Programme: Semaglutide 2.4 mg and NTproBNP in obesity-related HFpEF & Semaglutide therapy and diuretic use in obesity-related HFpEF02:20 - EMPACT-MI: The effect of…
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Roxy Senior
Research Area(s) / Expertise:
Author
Added:
1 month ago
Source:
Radcliffe CVRM
Recent US guidelines have controversially recommended lowering the low-density lipoprotein cholesterol (LDL-C) target to <55 mg/dL for patients with established atherosclerotic cardiovascular disease (ASCVD).¹˒² The Ez-PAVE trial is the first randomised study to directly compare this intensive target with a conventional target of <70 mg/dL. The findings were published in The New England…
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Preterm Birth and Maternal Cardiovascular Risk
Author(s):
Jorge Segovia-Reyes
,
Andrea Iboleon-Jimenez
,
María Jiménez-Salva
,
et al
Added:
2 weeks ago
Review Article
Martha Gulati
Research Area(s) / Expertise:
Author
Added:
2 months 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…
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Added:
9 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…
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