2023
DOI: 10.3389/fcvm.2023.1128022
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Risk factors assessment and a Bayesian network model for predicting ischemic stroke in patients with cardiac myxoma

Abstract: ObjectiveThis study aims to identify relevant risk factors, assess the interactions between variables, and establish a predictive model for ischemic stroke (IS) in patients with cardiac myxoma (CM) using the Bayesian network (BN) approach.MethodsData of patients with CM were collected from three tertiary comprehensive hospitals in Beijing from January 2002 to January 2022. Age, sex, medical history, and information related to CM were extracted from the electronic medical record system. The BN model was constru… Show more

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Cited by 2 publications
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“…The presence of supraventricular arrhythmia, irregular tumor surface, increased tumor size, and dilated atria are linked to an increased risk of embolism [ 11 ]. Additionally, tumors displaying high mobility are predictive of embolic events [ 12 ]. TTE is usually adequate for the diagnosis, showing tumor location and size, while attachment and mobility can also be assessed.…”
Section: Discussionmentioning
confidence: 99%
“…The presence of supraventricular arrhythmia, irregular tumor surface, increased tumor size, and dilated atria are linked to an increased risk of embolism [ 11 ]. Additionally, tumors displaying high mobility are predictive of embolic events [ 12 ]. TTE is usually adequate for the diagnosis, showing tumor location and size, while attachment and mobility can also be assessed.…”
Section: Discussionmentioning
confidence: 99%