Morphological and hemodynamic parameters of the left atrial appendage, such as blood flow velocity and ejection fraction, offer superior predictive value for thrombosis risk in atrial fibrillation compared to the CHA2DS2-VASc score.
Atrial fibrillation
Morphological and hemodynamic methods vs CHA2DS2-VASc score
Thrombosis risk prediction
Patients with atrial fibrillation (AF) suffer from a high risk of thrombosis. Currently, the CHA2DS2-VASc score is the most widely used tool for risk stratification in patients with AF, but it has disappointing accuracy and limited predictive value, especially in those with low scores. Thrombi in patients with AF mostly grow in their left atrial appendages (LAA), which is directly related to the abnormal morphology of the LAA or the left atrium and the unusual hemodynamic state around LAA, which may sensitively evaluate the risk of thrombosis complications in patients with AF and bring bases to clinical plans of medication and operation. Therefore, we investigated the research progress of hemodynamic and morphological studies about the predictive value of thrombosis risk in patients with AF, intending to discuss the prediction potential of morphological and hemodynamic indexes when compared with the presently used CHA2DS2-VASc system and how to build a more precise thromboembolic event prediction model for patients with AF.
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YiRen Sun
Sichuan University
Yunfei Ling
University of Science and Technology of China
Zijia Chen
West China Medical Center of Sichuan University
Frontiers in Cardiovascular Medicine
Sichuan University
West China Medical Center of Sichuan University
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Sun et al. (Wed,) conducted a review in Atrial fibrillation. Morphological and hemodynamic methods vs. CHA2DS2-VASc score was evaluated on Thrombosis risk prediction. Morphological and hemodynamic parameters of the left atrial appendage, such as blood flow velocity and ejection fraction, offer superior predictive value for thrombosis risk in atrial fibrillation compared to the CHA2DS2-VASc score.
synapsesocial.com/papers/6a0f9fbce3460f6d4c1cd4b9 — DOI: https://doi.org/10.3389/fcvm.2022.1032736