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Abstract Background: This study aimed to develop a machine learning model using four-dimensional left atrial quantification (4D-LAQ) parameters to the risk of major adverse cardiovascular events (MACE) in patients with uremia. Methods: A total of 223 patients with uremia treated at the Second Affiliated Hospital of Hainan Medical University between January 2021 and January 2026 were retrospectively enrolled and followed up for the occurrence of MACE.
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