Objective
This study aimed to find echocardiographic parameters that can predict short- and long-term adverse cardiovascular events in patients with AMI.
Methods
A total of 126 patients with AMI admitted to our hospital from July to December 2012 were enrolled in this study. All patients underwent echocardiographic examination within 12 hours after admission and received regular follow-ups until December 2018. The primary endpoint was a composite of the major adverse cardiovascular events (MACEs).
Results
In the first year of this study, a primary endpoint occurred in 35 patients and the predictor derived from the echocardiography of 1-year primary endpoint was LVEF<40% (OR: 9.000, 95% CI 3.242-24.987, p<0.0001) and the area under the curve (AUC) for the predictor was 0.676 (95% CI 0.561-0.790, p=0.002). For the total 5 years, 57 patients underwent primary endpoint. The results of the 5-year primary endpoint were: E/E’>15 (OR: 4.094, 95% CI 1.726–9.710, P=0.001), the wall motion score index was (WMSI)>1.5 (OR: 12.791, 95% CI 1.511–108.312, P=0.019), and the AUC was 0.691 (95% CI 0.595–0.787 P<0.0001).
Conclusion
LVEF is correlated with a short-term outcome (1-year), and WMSI and E/E’ can predict a long-term outcome (5-year) in patients with acute myocardial infarction.
A 39-year-old patient presented to our Labor and Delivery unit with fever and nausea in the context of recent bacteriuria. She was found to be in sepsis due to an incidental bicuspid aortic valve (BAV) complicated by aortic valvular vegetations, severe aortic insufficiency, and aortic root abscess, requiring an emergent cesarean section. Three days after delivery, the patient successfully underwent a mechanical aortic valve replacement and root reconstruction. In this case report, medical, surgical, and anesthetic management of parturient patients with BAV are discussed. The management of this congenital valvulopathy and vasculopathy is complicated by the extensive hemodynamic and cardiovascular derangements that occur during pregnancy.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.