NCT06686056

Brief Summary

The goal of this clinical trial is to find out if an artificial intelligence (AI)-enhanced mobile app can help people with coronary heart disease (CHD) better manage their health after being discharged from the hospital. The main questions it aims to answer are:

  1. 1.Does the AI-enhanced app help lower bad cholesterol (LDL-C) levels within 3 months after leaving the hospital?
  2. 2.Does the app improve other health measures, like blood pressure, blood sugar control, weight, medication adherence and cardiac events?
  3. 3.Be randomly assigned to use either the AI-enhanced app or receive usual care.
  4. 4.Use the app to track and manage their health, receive reminders, and get educational tips.
  5. 5.Attend checkups at 3 months to measure cholesterol levels and other health outcomes.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
1,100

participants targeted

Target at P75+ for not_applicable

Timeline
Completed

Started Nov 2024

Shorter than P25 for not_applicable

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

November 11, 2024

Completed
2 days until next milestone

First Posted

Study publicly available on registry

November 13, 2024

Completed
10 days until next milestone

Study Start

First participant enrolled

November 23, 2024

Completed
7 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

June 30, 2025

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

June 30, 2025

Completed
Last Updated

September 19, 2025

Status Verified

September 1, 2025

Enrollment Period

7 months

First QC Date

November 11, 2024

Last Update Submit

September 18, 2025

Conditions

Keywords

Coronary heart diseasesecondary preventionmobile healthartificial intelligence

Outcome Measures

Primary Outcomes (1)

  • LDL-C levels

    LDL-C levels (mmol/L)

    measured at 3 months post-discharge.

Secondary Outcomes (7)

  • LDL-C Target Attainment Rate

    assessed at 3 months post-discharge

  • Blood Pressure Control Rate

    assessed at 3 months post-discharge

  • Glycosylated Hemoglobin Levels

    assessed at 3 months post-discharge

  • Smoking Rate

    assessed at 3 months post-discharge

  • BMI

    assessed at 3 months post-discharge

  • +2 more secondary outcomes

Study Arms (2)

AIM-CHD Mobile Health Intervention Group

EXPERIMENTAL

Participants in the intervention group will be trained to use the AIM-CHD for post-discharge care,while also receiving post-discharge usual care.

Combination Product: AIM-CHD Mobile Health InterventionCombination Product: Usual post-discharge care

Standard Post-Discharge Care Group

ACTIVE COMPARATOR

Participants in the control group will receive usual post-discharge care, which includes oral and written instructions on sustained pharmacotherapy regimens, recommended follow-up frequency, and lifestyle modifications.

Combination Product: Usual post-discharge care

Interventions

The AIM-CHD platform synchronizes data from hospitalization records, questionnaires, AI-powered voice follow-ups, and wearable devices to perform risk stratification and manage uncontrolled risk factors. It provides individualized follow-up plans, medication reminders, and lifestyle education, with real-time assessments of vital health metrics to prompt necessary in-person consultations. The app offers online consultation access and emergency services through Fuwai Hospital. Additionally, it delivers personalized patient education, aligning with the latest clinical guidelines.

AIM-CHD Mobile Health Intervention Group
Usual post-discharge careCOMBINATION_PRODUCT

Usual post-discharge care includes oral and written instructions on sustained pharmacotherapy regimens, recommended follow-up frequency, and lifestyle modifications.

AIM-CHD Mobile Health Intervention GroupStandard Post-Discharge Care Group

Eligibility Criteria

Age18 Years - 85 Years
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • CHD patients aged 18-85 years
  • ability of the patient or close relatives to use smartphones and applications
  • willingness to participate and sign the informed consent form

You may not qualify if:

  • severe cognitive impairment
  • advanced malignant tumors
  • expected survival of less than 3 months
  • severe multi-organ failure
  • refusal to sign the informed consent form

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Fuwai Hospital, Chinese Academy of Medical Sciences/National Center for Cardiovascular Diseases

Beijing, Beijing Municipality, 100037, China

Location

Related Publications (1)

  • Ba Z, Zhao S, Liu M, Chen G, Lian X, Yu F, Su Y, Wang Z, Yang L, Wang X, Zhang X, Yuan J, Gao X, Zhao W, Wu Y. Effectiveness of an AI-enhanced management system for coronary heart disease (AIM-CHD): rationale and design of a single-centre, open-label, randomised, parallel-controlled trial. BMJ Open. 2025 Sep 14;15(9):e105597. doi: 10.1136/bmjopen-2025-105597.

MeSH Terms

Conditions

Coronary Disease

Condition Hierarchy (Ancestors)

Myocardial IschemiaHeart DiseasesCardiovascular DiseasesVascular Diseases

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
NONE
Purpose
TREATMENT
Intervention Model
PARALLEL
Sponsor Type
OTHER GOV
Responsible Party
SPONSOR

Study Record Dates

First Submitted

November 11, 2024

First Posted

November 13, 2024

Study Start

November 23, 2024

Primary Completion

June 30, 2025

Study Completion

June 30, 2025

Last Updated

September 19, 2025

Record last verified: 2025-09

Data Sharing

IPD Sharing
Will not share

The individual participant data collected in this study contains sensitive information. Although de-identified, the data will not be publicly shared to protect participant privacy and in accordance with the requirements of the ethics committee.

Locations