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JACC Author Interviews

American College of Cardiology
Adult Congenital Heart Disease
Hypertension
Artificial Intelligence
Heart Failure
Valvular Heart Disease
Cardiovascular Disease
Obesity
Health Equity
Natriuretic Peptide Receptor 1 (NPR1)
Drug-Coated Balloon Angioplasty
Bifurcation Lesions
Hypertrophic Cardiomyopathy
Midventricular Obstruction
Sudden Cardiac Death
Social Determinants Of Health
Underrepresentation Of Africa In Randomized Clinical Trials
Cardiometabolic Trials
Drug-Eluting Stents
Bifurcation PCI
Guidelines 2025

Interviews with top cardiologists and cardiovascular researchers about breakthrough research, clinical trials, and emerging innovations featured in JACC.

PublishesTwice weeklyEpisodes51Founded2 months ago
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Health & FitnessMedicine

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Latest Episodes

In this episode of Behind the Science, we sit down with Dr Yao to discuss the recent JACC publication, "The Prognostic Value of Serum Interleukin-6 Concentrations for 9 Cardiovascular and Mortality Outcomes: The Cross Cohort Collaboration (CCC)." The... more

In this episode of Behind the Science, Adith Arun is joined by Drs. Rahul Mahajan and Shaan Khurshid to discuss their recent JACC study on using artificial intelligence–enabled electrocardiograms (ECGs) to predict long-term stroke risk. Drawing on da... more

In this episode of Behind the Science, host Adith Arun sits down with Dr. Evangelos Oikonomou to discuss groundbreaking research published in JACC: "Early Prediction of Heart Failure from Routine Cardiac CT Using Radiomic Phenotyping of Epicardial Fa... more

In this episode of Behind the Science, we explore how coronary artery calcium scoring improves cardiovascular risk assessment in patients with elevated lipoprotein(a). This multicohort study highlights how Lp(a) and CAC serve as independent predictor... more

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Recent Guests

Antoinette Nélong
MD, Institut Cardiovascular Paris-Sud, France
Institut Cardiovascular Paris-Sud, France
Episode: DCB vs DES in Noncomplex Coronary Bifurcation Lesions: REC CAGEFREE I | JACC: Cardiovascular Interventions
Chao Gao
Dr. Gao, from the First Affiliated Hospital of USTC, Hefei, China
First Affiliated Hospital of USTC
Episode: Side Branch Treatment for Bifurcation Revascularization: KISS Trial | JACC: Cardiovascular Interventions
William White
Researcher
Episode: Behind the Science: NPR-1 Agonist for Resistant Hypertension | JACC Author Interviews
Wayne Batchelor
Lead author of Automated Alerts to Improve Timely Evaluation and Treatment of Valvular Heart Disease, The ALERT Trial
Episode: Automated Alerts for Valvular Heart Disease: Insights From the ALERT Trial | ACC.26 | JACC
Helle Søholm
Interventional cardiologist
Copenhagen University Hospital
Episode: Tocilizumab and Low-dose Dobutamine in Acute MI | JACC Author Interviews
Martin Frydland
Heart failure doctor
Copenhagen University Hospital
Episode: Tocilizumab and Low-dose Dobutamine in Acute MI | JACC Author Interviews
Bamba Gaye
Executive director of the Alliance for Medical Research in Africa; adjunct professor
Alliance for Medical Research in Africa; Emory University
Episode: Underrepresentation of Africa in RCTs | JACC Author Interviews
Dr. Naveed Sattar
Professor of Cardiometabolic Medicine at the University of Glasgow
University of Glasgow
Episode: Designing Next-Gen Cardiometabolic Outcome Trials | JACC
Rishi Shah
Co-led five of the JACC data reports in the week's issue
JACC
Episode: Behind the Science: JACC Data Reports | JACC

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Recent interactions between the hosts and their guests.

Behind the Science: ECG Prediction of Stroke | JACC
Q: What were the main clinical findings of your results?
The main findings showed that ECG-based risk prediction can stratify patients for future stroke at various time points and that the model's performance is comparable to the Framingham score. The analysis also revealed stronger signals for cardioembolic stroke and interpretability cues pointing to the P wave, suggesting a mechanistic connection to atrial cardiomyopathy rather than a general artifact.
Behind the Science: ECG Prediction of Stroke | JACC
Q: Rahul and Shaan, could you explain the motivation for this study and the high-level approach you used to investigate stroke risk with ECG data?
The motivation was to improve stroke risk stratification using scalable, AI-enabled analysis of ECGs, aiming to identify individuals at high risk for future stroke and compare ECG-based predictions to established clinical risk scores like Framingham. The approach involved training a deep learning model on a large ECG dataset to predict long-term stroke risk at multiple time horizons, and evaluating performance against calibration, net benefit, and discrimination metrics, while exploring interpretability via saliency maps that highlighted the P wave and potential links to atrial cardiomyopathy.
Behind The Science: Radiomic Profiling of Epicardial Fat for Heart Failure Prediction | JACC
Q: How much does the radiomic score improve predictive performance, and is it clinically meaningful to add to existing tools?
The radiomic score improved AUC from the mid-80s to upper-80s by about 0.05, which is comparable to established biomarkers and orthogonal to them, suggesting meaningful incremental value that could influence preventative treatment decisions when combined with traditional risk assessments.
Behind The Science: Radiomic Profiling of Epicardial Fat for Heart Failure Prediction | JACC
Q: How was the data gathered and how did you ensure generalizability across centers and scanners?
Data came from the Orfyn consortium, encompassing over 100,000 cases from multiple sites in the UK and internationally, with careful attention to diverse vendors, harmonization steps, and training strategies that emphasize learning signal over scanner noise to improve cross-center applicability.
Behind The Science: Radiomic Profiling of Epicardial Fat for Heart Failure Prediction | JACC
Q: What was the high-level motivation for the study and what are the main takeaways?
The study sought to determine whether radiomic features of epicardial fat, as captured from routine cardiac CT, could predict future heart failure beyond traditional risk factors; the main takeaway is that epicardial fat phenotype contains prognostic information, and a radiomic risk score provided incremental predictive value.

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Frequently Asked Questions About JACC Author Interviews

What is JACC Author Interviews about and what kind of topics does it cover?

The episodes center on cutting-edge cardiovascular research, with deep dives into clinical trial design, risk assessment, and real-world implications for patient care. Topics span risk prediction using biomarkers and imaging, health equity in cardiovascular outcomes, bifurcation and device trials, AI-augmented adjudication in trials, and strategies to translate trial findings into practice. Several conversations emphasize practical takeaways for clinicians and researchers, including trial methodologies, interpretation of complex results, and the impact of structural factors like access to care and representation in trials. A notable strength is the mix of methodological rigor (trial design, endpoints, and analytics) with broad, system-level... more

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1. NEJM This Week
2. This Week in Cardiology

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JACC Author Interviews launched 2 months ago and published 51 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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What guests have appeared on JACC Author Interviews?

Recent guests on JACC Author Interviews include:

1. Antoinette Nélong
2. Chao Gao
3. William White
4. Wayne Batchelor
5. Helle Søholm
6. Martin Frydland
7. Bamba Gaye
8. Dr. Naveed Sattar

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