Aortic valve sclerosis in patients with acute myocardial infarction: a marker of increased risk of re-infarction
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Abstract
Background Patients with acute myocardial infarction (AMI) are at increased risk of recurrent cardiovascular events. Aortic valve sclerosis (AVSc), which reflects a systemic damage, may serve as a marker of risk. The aim of the present study is to better stratify sub-groups of AMI patients with specific probabilities of recurrent AMI and to evaluate the importance of AVSc in this setting. Methods We analyzed 2120 AMI patients admitted at Centro Cardiologico Monzino (2010-2019) who underwent echocardiographic evaluation for AVSc assessment. Topological data analysis (TDA) was used to stratify sub-groups of patients experiencing recurrent AMI and a random forest procedure to evaluate the importance of baseline clinical characteristics. Kaplan-Meier and Cox regression analyses were used to evaluate recurrent AMI incidence, for up to 10 years. Results TDA highlighted the presence of 8 clusters of patients with specific risks of recurrent AMI. The evaluation of time-to-event curves allowed us to combine these clusters into three super-clusters ( i . e ., low-, moderate-, and high-risk) and a random forest procedure showed AVSc as the most relevant variable to discriminate the three classes of risk. AVSc was detected in 1000 (47%) patients. After full adjustment, we found a significant association of AVSc with recurrent AMI (hazard ratio (HR) 1.42, 95%CI:1.03-1.97). Stratifying by age, this association was significant only for patients younger than 75 years after 5 years of follow-up (HR 1.59, 95%CI:1.03-2.46). Conclusions AVSc has been identified to be the most relevant variable to recognize patients at high risk of recurrent AMI. AVSc is frequently detected in AMI patients and is strongly associated with recurrent AMI, especially in patients younger than 75 years old. The presence of AVSc should be taken into consideration to improve the risk stratification and clinical management of AMI patients.
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