Cardiac myxoma and ischemic stroke

Yuan, Lili; Ge, Liang; Zhu, Yu; Chen, C; Zhou, Zhiming; Yang, Qian

doi:10.1093/qjmed/hcaa085

Cited by 4 publications

(6 citation statements)

References 5 publications

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“…The myxoma could also cause acute paroxysmal dyspnea, syncope from “ball-valve blockade” of the mitral orifice, or mitral insufficiency from interfering with the mitral valve closure or damaging mitral leaflets. [ 6 ]…”

Section: Discussionmentioning

confidence: 99%

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A case of dyspnea in a patient with a previous coronavirus disease infection: Pulmonary is not always the cause

Tripodi

Bellieni

Scigliano

et al. 2022

J Cardiovasc Echography

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Section: Discussionmentioning

confidence: 99%

“…The gold standard for diagnosis of left atrial myxoma remains pathological evidence, but TTE and TEE are essential for proper diagnosis and treatment. [ 6 7 ]…”

Section: Onclusionsmentioning

confidence: 99%

A case of dyspnea in a patient with a previous coronavirus disease infection: Pulmonary is not always the cause

Tripodi

Bellieni

Scigliano

et al. 2022

J Cardiovasc Echography

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“…Before building the predictive model, we reviewed the previous literature to preprocess the predictive variables. First, it was noted that CM-IS mainly affects middle-aged women (20,26). For our analysis, sex and age were defined as the definite risk factors.…”

Section: Data Processing For Predictive Variablesmentioning

confidence: 99%

“…Although several risk factors of embolism (i.e., size of tumor and sex) (11, 12) in CM-IS patients have been reported, they are still controversial. Currently, the occurrence of CM-IS is believed to result from the interaction of multiple risk factors such as age (13)(14)(15), sex (12, [16][17][18], past medical history (19,20), and tumor characteristics (21)(22)(23).…”

Section: Introductionmentioning

confidence: 99%

Risk factors assessment and a Bayesian network model for predicting ischemic stroke in patients with cardiac myxoma

Cai

Qiao

et al. 2023

Front. Cardiovasc. Med.

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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 constructed using the tabu search algorithm, and the conditional probability of each node was calculated using the maximum likelihood estimation method. The probability of each node of the network and the interrelationship between IS and its related factors were qualitatively and quantitatively analyzed. A receiver operating characteristic (ROC) curve was also plotted. Sensitivity, specificity, and area under the curve (AUC) values were calculated and compared between the BN and logistic regression models to evaluate the efficiency of the predictive model.ResultsA total of 416 patients with CM were enrolled in this study, including 61 with and 355 without IS. The BN model found that cardiac symptoms, systemic embolic symptoms, platelet counts, and tumor with high mobility were directly associated with the occurrence of IS in patients with CM. The BN model for predicting CM-IS achieved higher scores on AUC {0.706 [95% confidence interval (CI), 0.639–0.773]} vs. [0.697 (95% CI, 0.629–0.766)] and sensitivity (99.44% vs. 98.87%), but lower scores on accuracies (85.82% vs. 86.06%) and specificity (6.56% vs. 11.48%) than the logistic regression model.ConclusionCardiac symptoms, systemic embolic symptoms, platelet counts, and tumor with high mobility are candidate predictors of IS in patients with CM. The BN model was superior or at least non-inferior to the traditional logistic regression model, and hence is potentially useful for early IS detection, diagnosis, and prevention in clinical practice.

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“…Patients with benign PCTs are often asymptomatic or these masses are discovered incidentally during evaluation for seemingly unrelated nonspecific symptoms. These symptoms are mainly dependent on their location, size, mobility, friability, and relation to adjacent cardiac structures and can be categorized as systemic or constitutional manifestations, systemic embolization, and cardiac symptoms resulting from intracardiac obstruction of tumors [ 17 , 18 , 19 ].…”

Section: Clinical Manifestationsmentioning

confidence: 99%

Multimodality Imaging of Benign Primary Cardiac Tumor

Gao

et al. 2022

Diagnostics

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Primary cardiac tumors (PCTs) are rare, with benign PCTs being relatively common in approximately 75% of all PCTs. Benign PCTs are usually asymptomatic, and they are found incidentally by imaging. Even if patients present with symptoms, they are usually nonspecific. Before the application of imaging modalities to the heart, our understanding of these tumors is limited to case reports and autopsy studies. The advent and improvement of various imaging technologies have enabled the non-invasive evaluation of benign PCTs. Although echocardiography is the most commonly used imaging examination, it is not the best method to describe the histological characteristics of tumors. At present, cardiac magnetic resonance (CMR) and cardiac computed tomography (CCT) are often used to assess benign PCTs providing detailed information on anatomical and tissue features. In fact, each imaging modality has its own advantages and disadvantages, multimodality imaging uses two or more imaging types to provide valuable complementary information. With the widespread use of multimodality imaging, these techniques play an indispensable role in the management of patients with benign PCTs by providing useful diagnostic and prognostic information to guide treatment. This article reviews the multimodality imaging characterizations of common benign PCTs.

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Cardiac myxoma and ischemic stroke

Cited by 4 publications

References 5 publications

A case of dyspnea in a patient with a previous coronavirus disease infection: Pulmonary is not always the cause

A case of dyspnea in a patient with a previous coronavirus disease infection: Pulmonary is not always the cause

Risk factors assessment and a Bayesian network model for predicting ischemic stroke in patients with cardiac myxoma

Multimodality Imaging of Benign Primary Cardiac Tumor

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