Cardiovascular consequences of myocardial bridging: A meta-analysis and meta-regression.
Sorin HostiucMugurel Constantin RusuMihaela HostiucRuxandra Irina NegoiIonuț NegoiPublished in: Scientific reports (2017)
Myocardial bridging, a congenital abnormality in which a coronary artery tunnels through the myocardial fibres was usually considered a benign condition. Many studies suggested a potential hemodynamic significance of myocardial bridging and some, usually case reports, implied a possible correlation between it and various cardiovascular pathologies like acute myocardial infarction, ventricular rupture, life-threatening arrhythmias, hypertrophic cardiomyopathy, apical ballooning syndrome or sudden death. The main objective of this article is to evaluate whether myocardial bridging may be associated with significant cardiac effects or if it is strictly a benign anatomical variation. To this purpose, we performed a meta-analysis (performed using the inverse variance heterogeneity model) and meta-regression, on scientific articles selected from three main databases (Scopus, Web of Science, Pubmed). The study included 21 articles. MB was associated with major adverse cardiac events - OR = 1.52 (1.01-2.30), and myocardial ischemia OR = 3.00 (1.02-8.82) but not with acute myocardial infarction, cardiovascular death, ischemia identified using imaging techniques, or positive exercise stress testing. Overall, myocardial bridging may have significant cardiovascular consequences (MACE, myocardial ischemia). More studies are needed to reveal/refute a clear association with MI, sudden death or other cardiovascular pathologies.
Keyphrases
- left ventricular
- hypertrophic cardiomyopathy
- acute myocardial infarction
- heart failure
- coronary artery
- public health
- emergency department
- single cell
- dna methylation
- gene expression
- acute coronary syndrome
- atrial fibrillation
- high intensity
- pulmonary hypertension
- photodynamic therapy
- machine learning
- artificial intelligence
- risk assessment
- stress induced
- case control
- deep learning