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Aortic dissection has acute onset and high mortality, with immunoinflammatory response driving lesion progression. Current perioperative anti-inflammatory therapies are mostly empirical and poorly targeted, and AI-assisted typing lacks a complete clinical translation pathway. This study integrates multi-dimensional data to construct an AI immunoinflammatory subtyping system, enabling rapid subtyping and establishing a "subtyping-target-treatment" closed loop for emergency needs. Using a prospective multicenter RCT, 300 patients are randomly divided into two groups: the experimental group receives subtyping-based precision therapy, while the control group uses empirical strategies (treatment of physician's choice). It observes 7-day postoperative SOFA score, SIRS and other prognostic indicators to provide evidence-based support for precision treatment.
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300 participants in 2 patient groups
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Sheng Zhao; Guo-laing Fan, MD
Data sourced from clinicaltrials.gov
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