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Author Spotlight: Using Point-of-Care Ultrasound for Comprehensive Evaluation of the Abdominal Aorta
Published on: September 8, 2023
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Coronary artery disease in aortic aneurysm and dissection
Joon Chul Jung1, Kay-Hyun Park1
1Department of Thoracic and Cardiovascular Surgery, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Bundang-gu, Seongnam-si, Gyeonggi-do 13620 Republic of Korea.
Indian Journal of Thoracic and Cardiovascular Surgery
|April 25, 2022
Summary
Patients needing aortic repair with coronary artery disease (CAD) follow similar diagnostic and revascularization guidelines as others. Minor management and surgical technique issues remain, emphasizing the need for shared experiences to build consensus.
Area of Science:
- Cardiovascular Surgery
- Interventional Cardiology
- Vascular Medicine
Background:
- Coexisting coronary artery disease (CAD) significantly increases risks after aortic repair (surgical and endovascular).
- Accurate diagnosis and management of CAD are crucial for patients undergoing aortic aneurysm or dissection intervention.
Purpose of the Study:
- To review current data, consensus, and controversies in diagnosing and managing CAD in patients requiring aortic intervention.
- To provide an overview of guideline recommendations and areas needing further clarification.
Main Methods:
- Review of existing guidelines and scientific literature.
- Analysis of consensus statements regarding CAD management in aortic surgery patients.
Main Results:
- Current guidelines recommend similar diagnostic algorithms and coronary angiography indications for patients with and without aortic disease.
- Indications for coronary revascularization are also generally consistent across patient groups.
- Some minor, yet important, issues in management details and surgical techniques persist, often left to institutional discretion.
Conclusions:
- Established guidelines exist for CAD diagnosis and revascularization in patients undergoing aortic repair.
- Further consensus building through the collection and sharing of individual experiences is recommended due to the unlikelihood of large-scale trial data.
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