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Premature Coronary Heart DiseaseSMART-CHDNCT07031531

Effectiveness of an AI-Enabled Stratified Management System for Premature Coronary Artery Disease

A study testing AI-Enabled Stratified Management System and Usual Post-Discharge Care in people with Premature Coronary Heart Disease, run by China National Center for Cardiovascular Diseases at 16 sites in China.

Recruiting

Looking for participants now. Contact the study team or a site below to ask about taking part.

Sites and contacts
Official record
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Trial summary

The goal of this clinical trial is to learn if an AI-enabled stratified management system (SMART-CHD) can improve post-discharge outcomes in adults aged 18-45 with premature coronary artery disease. The main questions it aims to answer are: 1. Read more about this study

Who is it for?
Ages 18 to 45 years
Conditions the study is for
Premature Coronary Heart Disease
What is being tested?
AI-Enabled Stratified Management System and Usual Post-Discharge Care
Could I receive a placebo?
No, everyone receives an active treatment
How many people
4,900 participants
Where
16 sitesChina
Study dates
8 Aug 2025to 31 Aug 2028
Phase
Interventional
Are there results?
Not yet: the study is under way

Key requirements

Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.

  • Ages 18 to 45 years
  • All sexes
  • No healthy volunteers
  • Adult

Who may be able to join

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

Who cannot join

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

Trial locations and contacts

16 sites in 1 country. Contact the study team or a site near you to ask about taking part.

Gao Prof. Gao, MD, PhD contact

010-88322413

sophie_gao@sina.com

16 sites in 1 country

China16 sites, 16 recruiting
  • Fuwai Hospital, Chinese Academy of Medical Sciences/National Center for Cardiovascular Diseases

    Beijing, Beijing Municipality, 100037

    Gao Prof. Gao, MD, PhD, +86 8832 2413, sophie_gao@sina.com

    Recruiting
  • The Second Affiliated Hospital, School of Medicine, Zhejiang University

    Hangzhou, Zhejiang, 310009

    Bingchen Liu, MD, 0571-87783777, liubingchen111@zju.edu.cn

    Not yet recruiting
  • The First Affiliated Hospital of University of Science and Technology of China

    Hefei, Anhui, 230001

    Ke Meng, 19995377625, 19995377625@163.com

    Not yet recruiting
  • The First Affiliated Hospital of Henan University of Science and Technology

    Luoyang, Henan, 471003

    Mengjuan Xu, 15903076908, zhijuanli66@sina.com

    Not yet recruiting
  • The Affiliated Hospital of Southwest Medical University

    Luzhou, Sichuan, 400042

    Ling Wu, MD, 0830-3165101, wulingzt@163.com

    Not yet recruiting
  • The First Affiliated Hospital of Nanjing Medical University

    Nanjing, Jiangsu, 210029

    Jiabao Liu, MD, 025-68303127, jiabaoliu@njmu.edu.cn

    Not yet recruiting
  • Fuwai Hospital Chinese Academy of Medical Sciences, Shenzhen

    Shenzhen, Guangdong, 518057

    Fenghuan Hu, MD, 0755-25509566, hufenghuanvip@163.com

    Not yet recruiting
  • The First Hospital of Hebei Medical University

    Shijiazhuang, Hebei, 050000

    Fangfang Ma, 13932108925, fad@hebmu.edu.cn

    Not yet recruiting
  • The Second Hospital Of Hebe Medical University

    Shijiazhuang, Hebei, 050000

    Xinshun Gu, 0311-66636037, pub@hb2h.com

    Not yet recruiting
  • Shanxi Cardiovascular Disease Hospital

    Taiyuan, Shanxi, 030024

    Jingyi Liu, 18235123471, 18235123471@163.com

    Not yet recruiting
  • The Second Affiliated Hospital of Xi'an Jiaotong University

    Xi'an, Shaanxi, 710004

    Jie Liu, 029-87679000, eyshce@126.com

    Not yet recruiting
  • The First Affiliated Hospital of Xi'an Jiaotong University

    Xi'an, Shaanxi, 710061

    Huan Wu, MD, 029-85323211, 1279952786@qq.com

    Not yet recruiting
  • Northern Jiangsu People's Hospital

    Yangzhou, Jiangsu, 225001

    Jing Yang, 18512178336, nyxb1980@163.com

    Not yet recruiting
  • Henan Provincial Chest Hospital

    Zhengzhou, Henan, 450000

    Zhe Peng, 15538128220, 15538128220@qq.com

    Not yet recruiting
  • Zhengzhou University Affiliated Zhengzhou Central Hospital

    Zhengzhou, Henan, 450000

    Xiaojie Yang, 18631423366, 18631423366@163.com

    Not yet recruiting
  • Zhengzhou University Fuwai Central China Cardiovascular Hospital

    Zhengzhou, Henan, 450000

    You Zhang, 13932108925, gaocy6802@163.com

    Not yet recruiting

Other trials in China

About this study

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

The goal of this clinical trial is to learn if an AI-enabled stratified management system (SMART-CHD) can improve post-discharge outcomes in adults aged 18-45 with premature coronary artery disease. The main questions it aims to answer are:

  1. Does SMART-CHD reduce the combined rate of all-cause death, myocardial infarction, stroke and rehospitalization within 12 months?
  2. Does SMART-CHD achieve better control of modifiable risk factors compared with usual care?
Read more

Researchers will compare SMART-CHD to standard discharge management (verbal and printed instructions on medications, follow-up timelines and lifestyle advice) to see if the AI-driven platform leads to fewer adverse events and improved risk-factor profiles.

Participants will:

  1. Install and use the SMART-CHD mobile app after a 10-minute structured orientation session with supervised simulations.
  2. Complete regular in-app surveys on lifestyle behaviors, laboratory/imaging results and clinical events (with OCR-powered LLM assistance).
  3. Wear paired sensors for continuous monitoring of blood pressure, heart rate and other physiologic metrics.
  4. Receive automated EHR data harvesting, AI-driven voice-call reminders, and real-time CRC support via a dedicated WeChat group.
  5. Follow personalized, guideline-based risk-factor recommendations (diet, exercise, sleep, weight, smoking, alcohol, hypertension, dyslipidemia, diabetes).
Being tested
AI-Enabled Stratified Management System, Usual Post-Discharge Care
Keywords
Premature coronary heart disease, secondary prevention, long-term management, mobile health, artificial intelligence

What participants receive

What participants receive. In a randomised study each person is assigned to one group by chance.

  • AI-Enabled Stratified Management SystemCombination product

    After discharge, participants install SMART-CHD, sync their EHR data, and complete a 10-minute orientation. They then use the app's OCR-assisted surveys to report lifestyle, lab, and event data, while paired wearables stream continuous vitals. AI voice calls and a CRC-managed WeChat group deliver reminders and support. The app's embedded predictive models stratify them into risk tiers and generate tier-specific follow-up schedules. Personalized lifestyle modification guidance, dietary plans, and medication adjustment recommendations are generated by the platform's module. Automated alerts and teleconsultation options are triggered upon detection of high-risk signs or abnormal results, ensuring timely clinical intervention and enhanced secondary prevention.

  • Usual Post-Discharge CareCombination product

    Usual discharge protocol comprising verbal and printed discharge instructions addressing medication schedules, follow-up timelines, and lifestyle optimization strategies.

Study groups in NCT07031531
Study groupRoleWhat they receive
AI-Enabled Stratified Management GroupExperimentalParticipants in the intervention group will use SMART-CHD alongside usual post-discharge care.
Receives: Combination Product: AI-Enabled Stratified Management System; Combination Product: Usual Post-Discharge Care
Usual Post-Discharge Care GroupActive comparatorParticipants in the control group will receive usual discharge protocol comprising verbal and printed discharge instructions addressing medication schedules, follow-up timelines, and lifestyle optimization strategies.
Receives: Combination Product: Usual Post-Discharge Care

What is being measured

The primary outcome is the main question the study is designed to answer.

  1. Cardiovascular Composite Endpoint Events

    A composite of all-cause death, myocardial infarction, stroke, and unplanned cardiovascular-related rehospitalization.

    Measured: Assessed at 12 months post-discharge

Secondary outcomes (8)
  1. Individual components of cardiac events

    All-cause death, myocardial infarction, stroke, and unplanned cardiovascular-related rehospitalization

    Measured: Assessed at 12 months post-discharge

  2. LDL-C level

    Low-density lipoprotein cholesterol level. Unit of Measure: mmol/L.

    Measured: Assessed at 12 months post-discharge

  3. LDL-C Goal Attainment

    Achieving LDL-C < 1.8 mmol/L.

    Measured: Assessed at 12 months post-discharge

  4. Blood pressure level

    Systolic blood pressure and Diastolic blood pressure. Unit of Measure: mmHg.

    Measured: Assessed at 12 months post-discharge

  5. Blood pressure goal attainment

    Achieving target BP <130/80 mmHg.

    Measured: Assessed at 12 months post-discharge

  6. Hemoglobin A1c level

    Glycated hemoglobin (HbA1c). Unit of Measure: Percentage (%).

    Measured: Assessed at 12 months post-discharge

  7. Smoking

    Self-reported current smoking status. Unit of Measure: Number and percentage of current smokers

    Measured: Assessed at 12 months post-discharge

  8. Medication adherence to antiplatelet agents and statins

    Adherence is defined as self-reported use of the medication for more than 80% of the time during the past month

    Measured: Assessed at 12 months post-discharge

Timeline

From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.

  1. First posted22 Jun 2025
  2. Study start8 Aug 2025
  3. Primary completion31 Aug 2028 (estimated)
  4. Study completion31 Aug 2028 (estimated)

Resources

More details

For doctors and researchers: how the study is designed, who runs it, and its registry IDs.

Study design
Study type
Interventional
Phase
Phase N/A
Primary purpose
Prevention
Allocation
Randomised
Intervention model
Parallel groups
Masking
None (open label)
Enrolment
4,900 participants (estimated)
IDs, dates and publications
ClinicalTrials.gov ID
NCT07031531
Sponsor's protocol ID
2023ZD0504005
Acronym
SMART-CHD
Status last verified
Aug 2026
First submitted
18 May 2025
Last updated
18 Aug 2026
Results posted
No
Data monitoring committee
Yes
FDA-regulated drug
No
FDA-regulated device
No
Individual data sharing
Yes: Individual participant data (IPD) that underlie the results reported in publications will be shared, including all collected de-identified IPD.

Questions about this trial

What is this clinical trial studying?

A study testing AI-Enabled Stratified Management System and Usual Post-Discharge Care in people with Premature Coronary Heart Disease, run by China National Center for Cardiovascular Diseases at 16 sites in China.

The full registered description is in the About this study section and the official record.

Who may be eligible to take part?

The sponsor lists 3 inclusion and 5 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.

Is this clinical trial currently recruiting?

The record says: looking for participants now, as of the sponsor's last update on 18 Aug 2026. Status can change between updates, so confirm with the study contact before making plans.

Where is the study taking place?

The record lists 16 sites in China. Whether a site is taking part right now should be confirmed with that site. See every site.

What are the possible benefits and risks?

They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.

Are results available for this study?

This study is still under way. Results are not available in the source record yet.

How can a doctor refer a patient or contact the research team?

Contact Gao Prof. Gao, MD, PhD (010-88322413, sophie_gao@sina.com), or a site near the patient. AzTrials does not enrol participants or take referrals.

What does the primary outcome measure?

Cardiovascular Composite Endpoint Events (time frame: Assessed at 12 months post-discharge). It is what the study was designed to measure, not a finding.

Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?

No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.

How often is this information updated?

AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 18 Aug 2026.

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