Mild aortic stenosis has long been viewed as clinically silent, but emerging evidence suggests it may be quietly dangerous. While no medical therapies have been proven to slow its progression, patients with so-called mild disease face significantly higher risks of heart failure, atrial fibrillation, and death. This Grand Rounds will examine whether current definitions and management strategies should be re-evaluated in light of our emerging understanding of the risks associated with early-stage aortic stenosis.
Speaker:
James Pirruccello, MD, is an assistant professor in the Division of Cardiology at UCSF Health and an associate editor at the Journals of the American College of Cardiology. His research focuses on cardiovascular and aortic disease, using machine learning to enable large-scale phenotyping in humans. James’ lab analyzes the genetic basis of these cardiovascular phenotypes to gain insight into the mechanisms of disease.
How to Attend
In Person:
S-214 (Medical Sciences Building)
Lunch will be provided
By Phone (for higher quality, dial a number based on your current location):
US: +1 669 900 6833 or +1 213 338 8477 or +1 669 219 2599
International numbers available: https://ucsf.zoom.us/u/abt1xcyvsc
Add to Calendar2025-04-22 19:00:002025-04-22 20:00:00Redefining Mild Aortic Stenosis
Mild aortic stenosis has long been viewed as clinically silent, but emerging evidence suggests it may be quietly dangerous. While no medical therapies have been proven to slow its progression, patients with so-called mild disease face significantly higher risks of heart failure, atrial fibrillation, and death. This Grand Rounds will examine whether current definitions and management strategies should be re-evaluated in light of our emerging understanding of the risks associated with early-stage aortic stenosis.
Speaker:
James Pirruccello, MD, is an assistant professor in the Division of Cardiology at UCSF Health and an associate editor at the Journals of the American College of Cardiology. His research focuses on cardiovascular and aortic disease, using machine learning to enable large-scale phenotyping in humans. James’ lab analyzes the genetic basis of these cardiovascular phenotypes to gain insight into the mechanisms of disease.
How to Attend
In Person:
S-214 (Medical Sciences Building)
Lunch will be provided
On Zoom:
Join from a PC, Mac, iPad, iPhone or Android device:
https://ucsf.zoom.us/j/97645766587?pwd=OpxbkAwpMENJgLN8xpPHofjwzHD8JH.1
Webinar ID: 976 4576 6587
Passcode: 364678
By Phone (for higher quality, dial a number based on your current location):
US: +1 669 900 6833 or +1 213 338 8477 or +1 669 219 2599
International numbers available: https://ucsf.zoom.us/u/abt1xcyvsc
The session will be recorded for later play. See all past recordings.
Department of MedicineAmerica/Los_Angelespublic
