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

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

Not applicable Interventional China National Center for Cardiovascular Diseases · NCT07031531

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.

Quick facts

PhaseNot applicable
Study typeInterventional
Enrollment4900 (estimated)
Ages18 Years to 45 Years
SexAll
SponsorChina National Center for Cardiovascular Diseases Government
Locations16 sites (Hefei, Anhui and 15 other locations)
Trial IDNCT07031531 on ClinicalTrials.gov

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.

Who should consider this trial

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.

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.

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 performed: 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.

Eligibility criteria

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 this trial is running

Hefei, Anhui and 15 other locations

Study contacts

How to participate

  1. Review the eligibility criteria above with your treating physician.
  2. Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
  3. Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.
Conditions Premature Coronary Heart DiseasePremature coronary heart diseasesecondary preventionlong-term managementmobile healthartificial intelligence
Last reviewed 2026-06-10 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.