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American Heart Association

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Understanding the Dynamics of Aging and ACS

If you are unable to find a person you would like to add, enter their first name, last name, email, institution, role title, and Primary or Alternate below. Only add them once you have ensured you cannot find them in the AHA Database:: Explore age-related physiological changes impacting ACS.
Discuss the complexities in managing alterations in physiology in older adults.
  • Nanna, Michael  ( Yale University , New Haven , Connecticut , United States )
  • Kochar, Ajar  ( Brigham and Womens Hospital , Chestnut Hill , Massachusetts , United States )
  • Author Disclosures:
    Michael Nanna: DO have relevant financial relationships ; Consultant:Merck:Active (exists now) ; Research Funding (PI or named investigator):Yale Claude D. Pepper Older Americans Independence Center:Active (exists now) ; Research Funding (PI or named investigator):PCORI:Active (exists now) ; Research Funding (PI or named investigator):National Institute on Aging:Active (exists now) ; Consultant:HeartFlow, Inc:Active (exists now) ; Consultant:Novo Nordisk:Active (exists now) | Ajar Kochar: DO have relevant financial relationships ; Consultant:Faraday Pharmaceuticals:Active (exists now) ; Research Funding (PI or named investigator):PCORI:Active (exists now) ; Research Funding (PI or named investigator):Chiesi:Active (exists now) ; Research Funding (PI or named investigator):Endovascular Engineering:Active (exists now) ; Research Funding (PI or named investigator):Rampart Inc:Active (exists now) ; Research Funding (PI or named investigator):American Heart Association:Active (exists now) ; Research Funding (PI or named investigator):Shockwave Inc:Active (exists now) ; Consultant:Abiomed Inc:Past (completed)
Meeting Info:

Scientific Sessions 2024

2024

Chicago, Illinois

Session Info:

Geriatric Journeys in Cardiology: Navigating ACS Management Beyond Conventional Guidelines!

Saturday, 11/16/2024 , 03:15PM - 04:30PM

Cardiovascular Seminar

More abstracts on this topic:
More abstracts from these authors:
Machine Learning Model Predicting In-Hospital Mortality for Cardiogenic Shock

Kochar Ajar, Foote Henry, Ratliff William, Balu Suresh

Panelist 4

Kochar Ajar

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