About this trial
This multicenter, prospective, randomized controlled trial will evaluate whether an artificial intelligence (AI) multimodal prediction model-guided intensified follow-up strategy improves 1-year outcomes after surgery for acute Stanford type A aortic dissection. Eligible adult patients who have undergone open surgical repair or open plus endovascular/hybrid repair and are clinically stable to enter the postoperative follow-up phase will be randomized 1:1 to usual postoperative follow-up or AI-guided intensified follow-up. The AI-guided arm will receive usual follow-up plus an AI-generated risk stratification report for 1-year mortality and adverse aortic remodeling. Higher-risk patients may receive more frequent follow-up, prioritized CTA review, multidisciplinary assessment, and targeted management reminders. The primary outcome is all-cause mortality through postoperative day 365. Key secondary outcomes include aortic reintervention, adverse aortic remodeling, and ICU readmission within 1 year.
Eligibility criteria
Qualifiers
1. Age 18 years or older. 2. Acute Stanford type A aortic dissection confirmed by CTA, intraoperative findings, or medical records.
Disqualifiers
1. Predominantly chronic type A dissection, traumatic dissection, or iatrogenic dissection, if the investigator judges the patient unsuitable for this follow-up strategy study.
Trial design
Treatments tested in this trial
- Usual Postoperative Follow-up Strategy
- AI Prediction Model-Guided Intensified Follow-up Strategy
Treatment groups
Locations
Sponsors and collaborators
Second Affiliated Hospital, School of Medicine, Zhejiang University
Lead sponsor
The Affiliated Hospital of Qingdao University
Collaborator
The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School
Collaborator
Guangdong Provincial People's Hospital
Collaborator
Sir Run Run Shaw Hospital
Collaborator
Wuhan Asia Heart Hospital
Collaborator
Tongji Hospital
Collaborator
Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Collaborator
Renmin Hospital of Wuhan University
Collaborator
Beijing Anzhen Hospital
Collaborator