In this episode of Parallax, Dr Ankur Kalra reunites with Dr Purvi Parwani for a deep dive into the groundbreaking data unveiled at ESC Congress 2024.
Dr Parwani, Director of the Women's Cardiovascular Disease Clinic and a leading expert in her field, serves as Associate Professor of Medicine and Director of the Echocardiography Laboratory for Advanced Cardiovascular Imaging at Loma Linda University Health.
Dr Parwani offers a comprehensive analysis of the most impactful trials presented at the congress. She delves beyond the headlines, exploring the practical implications these findings hold for the future of patient care. Dr Kalra and Dr Parwani engage in a stimulating discussion, comparing the new data to prior research and exploring how these insights can be translated into real-world improvements for our patients.
Key Trials included:
- MATTERHORN: Transcatheter versus surgical mitral valve repair in patients with heart failure and secondary mitral regurgitation (NCT02371512)
- RESHAPE-HF2: Percutaneous repair of moderate-to-severe or severe functional mitral regurgitation in patients with symptomatic heart failure (NCT02444338)
- TRI FR: Multicentric randomised evaluation of the transcatheter edge-to-edge repair in the treatment of severe isolated secondary tricuspid regurgitation (NCT04646811)
- RHEIA: Transcatheter versus surgical aortic valve replacement in women with severe aortic stenosis (NCT04160130)
- SENIOR RITA: Older patients with non-ST segment elevation myocardial infarction randomised interventional treatment trial (NCT03052036)
Dr Gerdisch shares insights into his research on rigid sternal fixation and enhanced recovery protocols, which have shown promising results in postoperative pain management and patient recovery.
They talk about AI assisted consultation, learning pathways incorporating simulators for early career practitioners and the Flying Eye Hospital. Dr Cherwek shares his experiences about working with local teams globally and the work that goes into setting up trials across the world.