About this trial
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.
Eligibility criteria
Qualifiers
Confirmed diagnosis of acute aortic dissection by contrast-enhanced Computed Tomography Angiography (CTA) or Magnetic Resonance Angiography (MRA);
Planned emergency surgical treatment (including open surgery and endovascular repair);
Aged 18-80 years old, regardless of gender;
Time from onset to hospital admission ≤ 72 hours;
Disqualifiers
Complicated with underlying diseases that affect immunoinflammatory status, such as severe infections (e.g., sepsis, infective endocarditis), autoimmune diseases, malignant tumors, chronic liver diseases, and chronic kidney diseases (uremic stage);
Long-term use of immunosuppressants or glucocorticoids before surgery (continuous use for ≥ 2 weeks);
Pregnant or lactating women;
Patients with mental disorders or cognitive dysfunction who cannot cooperate with the study.
Trial design
Treatments tested in this trial
- Ulinastatin and Thymalfasin
- Ulinastatin
Treatment groups
Sponsors and collaborators
Nanjing Medical University
Lead sponsor
The First Affiliated Hospital with Nanjing Medical University
Collaborator
The Third Affiliated Hospital of Soochow University
Collaborator
West China Hospital
Collaborator
Fujian Medical University Union Hospital
Collaborator
Shanghai East Hospital
Collaborator
Beijing Anzhen Hospital
Collaborator
Second Affiliated Hospital of Nanchang University
Collaborator