Hypoplastic and Congenital Absence of Coronary Arteries and Its Correlation with Clinical Implications of Cardiac Circulation: A Systematic Review and Meta-Analysis.
Alejandro Bruna-MejiasJaviera Del Villar-ValdebenitoCamila RomanCatalina Alcaíno-AdasmeWalter Sepulveda-LoyolaMathias Orellana-DonosoPablo Nova-BaezaAlejandra Suazo-SantibañezAlvaro Becerra-FarfanJuan Alberto Sanchis-GimenoJuan José Valenzuela-FuenzalidaPublished in: Journal of clinical medicine (2024)
Background: Coronary arteries originate from the first portion of the aorta, emerging from the right and left aortic sinuses. They traverse through the subepicardium and coronary sulcus to supply the myocardium during diastolic function. The objective of this review was to understand how the hypoplasia and agenesis of the coronary arteries are associated with cardiac pathologies. Methods: The databases Medline, Scopus, Web of Science, Google Scholar, CINAHL, and LILACS were researched until January 2024. An assurance tool for anatomical studies (AQUA) was used to evaluate methodological quality. The pooled prevalence was estimated using a random effects model. Results: A total of three studies met the established selection criteria for inclusion in this meta-analysis. The prevalence of coronary artery variants was 3% (CI = 2% to 8%), with a heterogeneity of 77%. The other studies were analyzed descriptively, along with their respective clinical considerations in the presence of the variant. Conclusions: Hypoplasia and the congenital absence of the coronary arteries are often incidental findings and understanding these variants is crucial to prevent misdiagnosis. Additionally, it is essential to exercise caution when considering surgical management for hearts with these variants.
Keyphrases
- coronary artery
- pulmonary artery
- coronary artery disease
- left ventricular
- case control
- systematic review
- copy number
- risk factors
- aortic stenosis
- aortic valve
- public health
- blood flow
- randomized controlled trial
- clinical trial
- ejection fraction
- heart failure
- machine learning
- high intensity
- dna methylation
- study protocol
- artificial intelligence
- aortic dissection
- quality improvement
- phase iii