Emile Daoud, MD, Associate Editor of JACC: Clinical Electrophysiology discusses a recently published original research paper on Stereotactic Radioablation for Septal Ventricular Tachycardias
Emile Daoud, MD, Associate Editor of JACC: Clinical Electrophysiology discusses a recently published original research
Emile Daoud, MD, Associate Editor of JACC: Clinical Electrophysiology discusses a recently published original research paper on overcoming lead penetration failure in left bundle branch pacing.
JACC: Heart Failure Social Media Editor Giorgia Benzoni, MD, discusses a recently published Leading Edge Commentary comparing the pathophysiological differences between ATTR and AL cardiac amyloidosis and implications for therapy.
Anju Bhardwaj, MD, social media editor of JACC: Heart Failure, discusses a recently published original research paper assessing the safety and efficacy of continuing sacubitril/valsartan in patients with deterioration of kidney function below an eGFR of 30 mL/min/1.73 m2.
In this episode, Jian'an Wang examines a study on the predictive power of integrating fractional flow reserve computed tomography (FFR CT) and its local gradient in assessing future coronary events in patients. The findings suggest that this combined approach significantly enhances risk prediction, offering valuable insights for more informed clinical decision-making in managing coronary artery disease.
In this episode, Jian'an Wang explores the promising role of traditional Chinese medicine (TCM) in managing cardiovascular diseases, emphasizing the law being theory's focus on circulation regulation. The review highlights TCM formulas that enhance metabolic health and microcirculation, suggesting that integrating TCM with conventional treatments could improve patient outcomes and expand therapeutic options in cardiovascular care.
In this episode, Jian'an Wang examines a nationwide study on acute autoimmune pericarditis (AAP) in Japan, highlighting its prevalence, diagnostic challenges, and in-hospital outcomes compared to acute idiopathic pericarditis (AIP). The findings reveal that while mortality rates are similar, AAP is linked to a higher incidence of cardiac tamponade, underscoring the need for accurate diagnosis to optimize patient care.
In this episode, Jian'an Wang discusses a study investigating the relationship between elevated serum lipoprotein A (LPA) levels and the risk of severe degenerative aortic stenosis in a cohort of 742 patients. The findings reveal a significant association, particularly with LPA levels exceeding 100 mg/dL, highlighting LPA's potential as a therapeutic target and underscoring the need for further research into therapies aimed at lowering LPA levels.
In this episode of the JACC: Asia podcast, host Jian'an Wang summarizes the October 2024 issue, featuring five original research articles that explore crucial topics in cardiovascular health, including the risks of acute autoimmune hepatitis and advancements in telemedicine for managing atrial fibrillation in rural China. Additionally, a state-of-the-art review highlights the potential of traditional Chinese medicine in treating cardiovascular diseases, underscoring the importance of innovative ...
In this episode, Jian'an Wang discusses a pivotal study on the long-term outcomes of left atrial appendage occlusion (LAAO) for stroke prevention in patients with non-valvular atrial fibrillation, analyzing data from over 3,000 patients across China. The findings reveal that combining LAAO with ablation significantly reduces ischemic events, highlighting the importance of tailored procedural strategies and anticoagulation regimens to enhance patient care.
In this episode, Jian'an Wang explores the Miracle AF trial, a groundbreaking telemedicine initiative aimed at improving care for elderly patients with atrial fibrillation in rural China. By integrating village doctors into a structured care model, the study seeks to enhance clinical outcomes and highlight the transformative potential of telehealth in underserved communities.
In this episode, Professor Yong-Joon Lee discusses a significant study on the one-year clinical outcomes of left atrial appendage occlusion (LAAO) using the Watchman device in older patients with non-valvular atrial fibrillation. The findings highlight the procedure's safety and efficacy, revealing that combined LAAO and ablation significantly reduce the risk of thromboembolic events, while also addressing gaps between clinical guidelines and real-world practices.
In this episode, Dr. Danilo Malandrino discusses a pivotal study on acute autoimmune pericarditis, revealing critical differences in hospital outcomes between autoimmune and idiopathic cases based on a comprehensive Japanese registry. The findings underscore the need for careful evaluation of underlying autoimmune diseases in patients with pericarditis, highlighting distinct prognoses and the importance of tailored treatment strategies.
Darshan H. Brahmbhatt, Podcast Editor of JACC: Advances discusses a recently published original research paper on machine learning prediction for prognosis of patients with aortic stenosis.
Darshan H. Brahmbhatt, Podcast Editor of JACC: Advances discusses a recently published original research paper on trends in glucagon-like peptide-1 receptor agonist social media posts using AI.
Darshan H. Brahmbhatt, Podcast Editor of JACC: Advances discusses a recently published original research paper on improving cardiovascular disease prediction with machine learning using UK Biobank mental health data.
Darshan H. Brahmbhatt, Podcast Editor of JACC: Advances discusses a recently published original research paper about a clinical cohort study using an artificial intelligence algorithm for detection of severe aortic stenosis.
Darshan H. Brahmbhatt, Podcast Editor of JACC: Advances discusses a recently published original research paper on AI prediction of cardiovascular events using opportunistic epicardial adipose tissue assessments from computed tomography calcium score.
Darshan H. Brahmbhatt, Podcast Editor of JACC: Advances discusses a recently published original research paper on coronary artery stenosis and high-risk plaque assessed with an unsupervised fully automated deep learning technique.
Darshan H. Brahmbhatt, Podcast Editor of JACC: Advances discusses a recently published original research paper on mortality risk stratification utilizing artificial intelligence electrocardiogram for hyperkalemia in cardiac ICU Patients.
Darshan H. Brahmbhatt, Podcast Editor of JACC: Advances discusses a recently published original research paper on a 1-year randomized controlled trial of a digital twin in managing hypertension among people with Type 2 diabetes.
Darshan H. Brahmbhatt, Podcast Editor of JACC: Advances discusses a recently published original research paper on automated assessment of right atrial pressure from ultrasound videos using machine learning.
Darshan H. Brahmbhatt, Podcast Editor of JACC: Advances discusses a recently published original research paper on Identifing patients with normal ejection fraction at risk of worse outcomes using AI–enhanced electrocardiography.
Darshan H. Brahmbhatt, Podcast Editor of JACC: Advances discusses a recently published scoping review on prospective human validation of artificial intelligence interventions in cardiology.
Darshan H. Brahmbhatt, Podcast Editor of JACC: Advances, discusses a recently published original research paper on echocardiogram vector embeddings via R3D transformer for the advancement of automated echocardiography.
Darshan H. Brahmbhatt, Podcast Editor of JACC: Advances discusses a recently published original research paper about implications of diagnosis through a machine learning algorithm on management of people with familial hypercholesterolemia.
Darshan H. Brahmbhatt, Podcast Editor of JACC: Advances discusses a recently published original research paper on an impact of case and control selection on training artificial intelligence screening of cardiac amyloidosis.
Darshan H. Brahmbhatt, Podcast Editor of JACC: Advances discusses a recently published original research paper on an association between social isolation with age-gap determined by AI-enabled electrocardiography.
Darshan H. Brahmbhatt, Podcast Editor of JACC: Advances discusses a recently published original research paper on machine-learning for phenotyping and prognostication of myocardial infarction and injury in suspected acute coronary syndrome.
