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Clinical Characteristics and Prognosis of Aortic Dissection in China (CLASSIC)

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Xi'an Jiaotong University

Status

Enrolling

Conditions

Aortic Dissection

Treatments

Other: Observational

Study type

Observational

Funder types

Other

Identifiers

NCT05999188
XJTU1AF2023LSK-313

Details and patient eligibility

About

This study will construct a retrospective-prospective long-term follow-up cohort and management system for aortic dissection through a multicentre collaborative network. This study aims to investigate the disease characteristics, progression patterns, clinical features, natural course and factors affecting the disease course and prognosis of patients with aortic dissection by retrospectively collecting data and prospectively enrolling patients.

Full description

This study aims to construct a retrospective-prospective long-term follow-up cohort and management system for aortic dissection through a multicentre collaborative network. The duration of the study will be divided into retrospective and prospective components. The retrospective study will collect cases of aortic dissection of different aetiologies from 2003-2022; the prospective study is expected to collect cases of aortic dissection from 2022-2030. The study is expected to assess the disease characteristics, progression patterns, clinical features, natural course and long-term prognosis of aortic coarctation.

Enrollment

100 estimated patients

Sex

All

Ages

18 to 80 years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Age 18-80 years;
  • Meet diagnostic criteria for aortic dissection.

Exclusion criteria

  • Age <18 years or >80 years;
  • Women who are pregnant and breastfeeding;
  • Patients and their families refuse or are unable to sign the informed consent form.

Trial design

100 participants in 1 patient group

Aortic dissection group
Description:
Patients diagnosed with aortic dissection at any of the centres and regularly consulted and followed up.
Treatment:
Other: Observational

Trial contacts and locations

1

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Central trial contact

Guoliang Li; Yang Yan

Data sourced from clinicaltrials.gov

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