Meta-regression analysis on the impact of medical therapy on long-term outcome in spontaneous coronary artery dissection

对药物治疗对自发性冠状动脉夹层长期预后的影响进行荟萃回归分析

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Abstract

BACKGROUND: Spontaneous coronary artery dissection (SCAD) is a relatively rare condition affecting predominantly young adults, with a prevalence of female sex. The best management of SCAD is still unclear and not adequately evidence-based both in the acute phase but especially over the long-term. We therefore aimed to evaluate the impact of medical therapy usually adopted for coronary artery disease on long-term outcome in SCAD patients. METHODS: We performed a meta-regression analysis including all the studies evaluating the long-term outcome of patients affected by SCAD. We used long-term mortality, recurrent SCAD, admission for angina and major adverse cardio-vascular events (MACE) as dependent variables and the rates of discharge drug rates (beta-blockers, statins, renin-angiotensin-aldosterone system inhibitors, aspirin, dual antiplatelet therapy (DAPT)) as independent variables. RESULTS: Fourteen observational studies were included with a long-term follow-up of 3.5 ± 1.7 years. No statistically significant correlations between drug therapy (beta-blockers, statins, calcium channel blockers, nitrates, renin-angiotensin-aldosterone inhibitors) and mortality, MACE, admission for angina, and SCAD recurrence were found. Higher aspirin use rates were significantly correlated with lower admission rates for angina (p < 0.05); DAPT, however, showed a borderline correlation with higher rates of SCAD recurrence (p = 0.068). CONCLUSIONS: In a meta-regression analysis including observational studies aspirin use rates correlated with lower long-term rates of admission for angina, while a borderline correlation between DAPT and rates of SCAD recurrence was found. Other drugs usually used for the treatment of coronary artery disease do not seem to impact long-term outcome of SCAD patients.

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