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Community-based Precise Management for Patients With Coronary Artery Disease

C

Chinese Academy of Medical Sciences, Fuwai Hospital

Status

Unknown

Conditions

Coronary Artery Disease

Treatments

Other: Standard community-based management
Other: Community-based precise management

Study type

Interventional

Funder types

Other

Identifiers

NCT05344053
XCSTS-SD2020-11

Details and patient eligibility

About

The community-based precise management for patients with coronary artery disease study is a prospective, cluster-randomized, open-labeled trial. The purpose of this trial is to test whether a community-based precise management and rehabilitation model under the hierarchical medical system could help improve the cardiovascular risk factors control in patients with coronary artery disease. Additionally, the trial will also evaluate the impact of the model on major cardiovascular adverse events in patients with coronary artery disease.

Enrollment

480 estimated patients

Sex

All

Ages

18+ years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Patients with prior myocardial infarction
  • or receiving percutaneous coronary intervention or coronary artery bypass graft;
  • or coronary artery stenosis≥50% defined by coronary angiography or coronary CT angiography

Exclusion criteria

  • Refuse to sign the written informed consent;
  • Patients without the ability to take care of themselves;
  • Mental disorders;
  • Alcoholics or drug addicts;
  • Cannot be followed up for any reasons;
  • Life expectancy<1 year due to non-cardiovascular reasons.

Trial design

Primary purpose

Prevention

Allocation

Randomized

Interventional model

Parallel Assignment

Masking

None (Open label)

480 participants in 2 patient groups

Community-based precise management
Experimental group
Treatment:
Other: Community-based precise management
Standard community-based management
Active Comparator group
Treatment:
Other: Standard community-based management

Trial contacts and locations

1

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Central trial contact

Haiyan Xu, MD, PhD

Data sourced from clinicaltrials.gov

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