HOMEPRODUCTSCOMPANYCONTACTFAQResearchDictionaryPharmaSign Up FREE or Login

Beta-Blockade in Intraseptal Anomalous Coronary Artery With Reversible Myocardial Ischemia.

Abstract
Anomalous aortic origin of a left coronary artery (L-AAOCA) with an intraseptal course is a rare anomaly and can be associated with myocardial ischemia and sudden cardiac death. No surgical or medical intervention is known to improve patient outcomes. A 7-year-old boy with intraseptal L-AAOCA presented with nonexertional chest pain, syncope, and had reversible myocardial ischemia on provocative testing. The patient was started on β-blockade, following which his symptoms improved and resolved over a period of six years. A follow-up dobutamine stress magnetic resonance imaging no longer showed reversible ischemia, and cardiac catheterization with fractional flow reserve did not show coronary flow compromise.
AuthorsTam T Doan, Athar M Qureshi, Shagun Sachdeva, Cory V Noel, Dana Reaves-O'Neal, Silvana Molossi
JournalWorld journal for pediatric & congenital heart surgery (World J Pediatr Congenit Heart Surg) Vol. 12 Issue 1 Pg. 145-148 (Jan 2021) ISSN: 2150-136X [Electronic] United States
PMID33407035 (Publication Type: Case Reports, Journal Article)
Chemical References
  • Adrenergic beta-Antagonists
Topics
  • Adrenergic beta-Antagonists (therapeutic use)
  • Cardiac Catheterization
  • Child
  • Coronary Angiography
  • Coronary Sinus (abnormalities)
  • Coronary Vessel Anomalies (complications, diagnosis, therapy)
  • Electrocardiography
  • Fractional Flow Reserve, Myocardial (physiology)
  • Humans
  • Magnetic Resonance Imaging, Cine
  • Male
  • Myocardial Ischemia (diagnosis, etiology, therapy)
  • Vascular Surgical Procedures (methods)

Join CureHunter, for free Research Interface BASIC access!

Take advantage of free CureHunter research engine access to explore the best drug and treatment options for any disease. Find out why thousands of doctors, pharma researchers and patient activists around the world use CureHunter every day.
Realize the full power of the drug-disease research graph!


Choose Username:
Email:
Password:
Verify Password:
Enter Code Shown: