Clinical trial Recruiting at 1 site Interventional Ages 18 to 45

AI-guided post-discharge care for premature coronary artery disease

Official title: Effectiveness of an AI-Enabled Stratified Management System for Premature Coronary Artery Disease (SMART-CHD): A Prospective, Multicenter, Open-Label, Randomized Controlled Trial

Run by China National Center for Cardiovascular Diseases · NCT07031531 · Data updated 2026-11-12

This trial will test whether an AI-powered app and stratified management system can lower deaths, heart attacks, strokes, and rehospitalizations and improve risk-factor control in adults aged 18–45 with premature coronary artery disease.

More Coronary Heart Disease trials

Quick facts

Study typeInterventional
Ages18 Years to 45 Years
SexAll
Enrollment4900 (estimated)
SponsorChina National Center for Cardiovascular Diseases
Government
Locations16 sites (Hefei, Anhui and 15 other locations)
StatusRecruiting
StartedAugust 8, 2025
Main results expectedAugust 31, 2028
Study endsAugust 31, 2028
Registry record updatedAugust 18, 2026
Trial IDNCT07031531 on ClinicalTrials.gov

Is this trial a fit for you?

Likely a good fit

Adults aged 18–45 with diagnosed coronary heart disease who can use a smartphone (or have a family member who can) and are willing to provide written informed consent are ideal candidates.

Probably not a fit

Patients with severe cognitive impairment, advanced cancer, life expectancy under 12 months, severe multi-organ failure, inability or refusal to consent, or no access to a smartphone are unlikely to benefit from this intervention.

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

Researchers will compare an AI-enabled stratified management platform (SMART-CHD) to usual post-discharge care to see if the digital approach reduces a combined endpoint of all-cause death, myocardial infarction, stroke, and rehospitalization within 12 months and improves control of modifiable risk factors. Participants assigned to SMART-CHD install the mobile app after a brief supervised orientation and complete regular in-app surveys on lifestyle, labs, imaging, and clinical events, with OCR-enabled language models to capture results. The control group receives standard verbal and printed discharge instructions on medications, follow-up, and lifestyle advice. Outcomes are measured over a 12-month follow-up period to compare event rates and risk-factor trajectories between groups.

Why it matters

Potential benefit: If successful, the system could reduce serious cardiovascular events and rehospitalizations while improving long-term risk-factor control for younger adults with premature coronary disease.

How similar studies have gone: Mobile health and digital cardiac care programs have shown modest improvements in adherence and risk-factor control in cardiac populations, but AI-driven stratified post-discharge systems remain relatively novel and not widely validated for young-onset coronary disease.

Who can join: the full rules

Show full inclusion / exclusion criteria
Inclusion Criteria

1. Patients with coronary heart disease aged 18-45 years;
2. The patient or a close family member is capable of using a smartphone and mobile application (App);
3. Willing to participate in the study and able to provide written informed consent.

Exclusion Criteria

1. Severe cognitive impairment;
2. Advanced-stage malignancy;
3. Life expectancy less than 12 months;
4. Severe multi-organ failure;
5. Refusal to provide written informed consent.

Where it's running

  • Fuwai Hospital, Chinese Academy of Medical Sciences/National Center for Cardiovascular Diseases
    Beijing, Beijing Municipality, China
    Recruiting
  • The First Affiliated Hospital of University of Science and Technology of China
    Hefei, Anhui, China
    Not yet recruiting
  • Fuwai Hospital Chinese Academy of Medical Sciences, Shenzhen
    Shenzhen, Guangdong, China
    Not yet recruiting
  • The First Hospital of Hebei Medical University
    Shijiazhuang, Hebei, China
    Not yet recruiting
  • The Second Hospital Of Hebe Medical University
    Shijiazhuang, Hebei, China
    Not yet recruiting
  • The First Affiliated Hospital of Henan University of Science and Technology
    Luoyang, Henan, China
    Not yet recruiting
Show 10 more locations
  • Henan Provincial Chest Hospital
    Zhengzhou, Henan, China
    Not yet recruiting
  • Zhengzhou University Affiliated Zhengzhou Central Hospital
    Zhengzhou, Henan, China
    Not yet recruiting
  • Zhengzhou University Fuwai Central China Cardiovascular Hospital
    Zhengzhou, Henan, China
    Not yet recruiting
  • The First Affiliated Hospital of Nanjing Medical University
    Nanjing, Jiangsu, China
    Not yet recruiting
  • Northern Jiangsu People's Hospital
    Yangzhou, Jiangsu, China
    Not yet recruiting
  • The Second Affiliated Hospital of Xi'an Jiaotong University
    Xi'an, Shaanxi, China
    Not yet recruiting
  • The First Affiliated Hospital of Xi'an Jiaotong University
    Xi'an, Shaanxi, China
    Not yet recruiting
  • Shanxi Cardiovascular Disease Hospital
    Taiyuan, Shanxi, China
    Not yet recruiting
  • The Affiliated Hospital of Southwest Medical University
    Luzhou, Sichuan, China
    Not yet recruiting
  • The Second Affiliated Hospital, School of Medicine, Zhejiang University
    Hangzhou, Zhejiang, China
    Not yet recruiting

Study contacts

Similar studies

Other studies for the same condition or treatment. Recruiting studies are listed first.

How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.