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Development and validation of dynamic risk predictive model for adverse events in patients with aortic dissection

Development and validation of dynamic risk predictive model for adverse events in patients with aortic dissection

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR1900025818
Enrollment
Unknown
Registered
2019-09-09
Start date
2019-09-10
Completion date
Unknown
Last updated
2019-09-16

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

aortic dissection

Interventions

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Sponsors

Shanghai Ninth People's Hospital Affiliated to Shanghai Jiaotong University School of Medicine
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1. Type-A and Type-B aortic dissection. 2. Blood pressure and heart rate records and clinical data were not missing.

Exclusion criteria

Exclusion criteria: 1. Aged < 18 years; 2. Patients with connective tissue disease (Marfans disease, Loeys-Dietz syndrome or Ehlers-Danlos syndrome); 3. Patients with traumatic dissections or inflammatory dissections; 4. Aortic dissection with pregnancy.

Design outcomes

Primary

MeasureTime frame
adverse event;ACC, AUC of ROC;

Countries

China

Contacts

Public ContactXinwu Lu

Department of Vascular Surgery, Shanghai Ninth People's Hospital Affiliated to Shanghai Jiaotong University

luxinwu@shsmu.edu.cn+86 13651839016

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 9, 2026