NCT07273513

Brief Summary

This study aims to evaluate the effect of an AI-assisted "Smart family doctor" digital health management tool on improving the control rates of hypertension, diabetes, and dyslipidemia in post-revascularization patients. A randomized controlled trial design will be used, involving approximately 10-20 hospitals and 951 participants. Eligible participants are adults aged between 18 and 80 years, post-CABG or post-PCI patients with hypertension, diabetes, and dyslipidemia.

Trial Health

65
Monitor

Trial Health Score

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

Enrollment
951

participants targeted

Target at P75+ for not_applicable hypertension

Timeline
8mo left

Started Jan 2026

Shorter than P25 for not_applicable hypertension

Status
not yet recruiting

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

Study Progress31%
Jan 2026Jan 2027

First Submitted

Initial submission to the registry

November 27, 2025

Completed
12 days until next milestone

First Posted

Study publicly available on registry

December 9, 2025

Completed
1 month until next milestone

Study Start

First participant enrolled

January 15, 2026

Completed
12 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 31, 2026

Expected
15 days until next milestone

Study Completion

Last participant's last visit for all outcomes

January 15, 2027

Last Updated

December 18, 2025

Status Verified

December 1, 2025

Enrollment Period

12 months

First QC Date

November 27, 2025

Last Update Submit

December 10, 2025

Conditions

Keywords

smartphoneAI-assistedRevascularization managementmetabolic managementSmart family doctor

Outcome Measures

Primary Outcomes (1)

  • The control rates of hypertension, diabetes and hyperlipidemia

    All cretria are meet: 1) Systolic blood pressure less than 130 mmHg and diastolic blood pressure less than 80 mmHg. 2) HbA1c less than 7%. 3) LDL-C less than 1.4 mmol/L.

    6-month

Secondary Outcomes (14)

  • Blood Pressure Control Rate

    6-month

  • Blood glucose Control Rate

    6-month

  • Blood lipid Control Rate

    6-month

  • Systolic blood pressure

    6-month

  • Diastolic blood pressure

    6-month

  • +9 more secondary outcomes

Other Outcomes (13)

  • Major adverse cardiovascular events (MACE)

    6-month

  • BMI

    6-month

  • Waist circumference

    6-month

  • +10 more other outcomes

Study Arms (3)

"Smart family doctor" assisted management

EXPERIMENTAL

"Smart family doctor", an AI-assisted applications with personalized interactions in 24 hours and 7 days a week.

Behavioral: Smart family doctor

Health managers

EXPERIMENTAL

3-hour health management guidance from a health manager once a week.

Behavioral: Health manager

Usual care

PLACEBO COMPARATOR

Usual post-surgery management

Behavioral: Usual Care

Interventions

Participants will be provided "Smart family doctor", which is an AI-assisted applications with personalized interactions. The content includes, but is not limited to: (1) General educational content, covering basic health knowledge on diseases, risk factors, and treatment methods; (2) Targeted health information, such as more specific guidance on blood pressure and blood sugar control, medication adherence, exercise, and smoking cessation; (3) Personalized disease management guidance, providing tailored reminders for patients regarding medication, diet, exercise, and medical visits. Patients can also directly report their latest self-measured blood pressure, blood lipid, blood sugar levels, and medication adherence to receive treatment and medication guidance from the 'Smart family doctor'.

"Smart family doctor" assisted management
Health managerBEHAVIORAL

Participants will received 3-hour health management guidance from a health manager once a week, including guidance on healthy lifestyle, medication treatment, and rehabilitation advice.

Health managers
Usual CareBEHAVIORAL

Participants will receive usual secondary prevention management.

Usual care

Eligibility Criteria

Age18 Years - 80 Years
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Age 18-80 years.
  • Underwent CABG or PCI more than 3 months prior and have concurrent hypertension, diabetes, and dyslipidemia.
  • At least one of the following criteria is meet:
  • Systolic blood pressure no less than 130 mmHg or diastolic blood pressure no less than 80 mmHg
  • HbA1c no less than 7%
  • LDL-C no less than 1.4 mmol/L
  • Signed informed consent.

You may not qualify if:

  • History of heart failure or severe arrhythmias.
  • Presence of other severe underlying conditions such as cancer or liver and kidney insufficiency.
  • Pregnancy, lactation, or plans for pregnancy within the next year.
  • Cognitive, communication impairments, or limitations in daily activities.
  • Unable to use smartphone.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

MeSH Terms

Conditions

HypertensionDiabetes MellitusHyperlipidemias

Condition Hierarchy (Ancestors)

Vascular DiseasesCardiovascular DiseasesGlucose Metabolism DisordersMetabolic DiseasesNutritional and Metabolic DiseasesEndocrine System DiseasesDyslipidemiasLipid Metabolism Disorders

Study Officials

  • Xin Yuan, PhD

    Chinese Academy of Medical Sciences, Fuwai Hospital

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Lihua Zhang, PhD

CONTACT

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
NONE
Masking Details
Data manager and statistician.
Purpose
TREATMENT
Intervention Model
PARALLEL
Model Details: The intervention in this study is the implementation of the 'Smart family doctor' system, a digital health management tool designed to support secondary prevention in post-CABG patients. This system leverages knowledge from coronary artery disease (CAD) secondary prevention guidelines, expert consensus, and a knowledge base addressing common post-revascularization issues. It is powered by a large-scale, medical knowledge-enhanced conversational model, enabling personalized interactions with patients to guide their recovery and lifestyle management following surgery.
Sponsor Type
OTHER GOV
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Professor

Study Record Dates

First Submitted

November 27, 2025

First Posted

December 9, 2025

Study Start

January 15, 2026

Primary Completion (Estimated)

December 31, 2026

Study Completion (Estimated)

January 15, 2027

Last Updated

December 18, 2025

Record last verified: 2025-12

Data Sharing

IPD Sharing
Will share

Anonymized data that support the findings of this study are available from the corresponding author, upon reasonable request, only for authorized research. Their use is subjected to an agreement with the promotor (Fuwai Hospital) and the principal investigator (Dr Xin Yuan) of the SMART II study. Pseudonymised data that support the findings of this study are available from the promotor (Fuwai Hospital) upon reasonable request, subject to a specific agreement with the promotor (involving the principal investigator) and subject to regulatory proceedings due to data protection applicable laws. Access conditions are to be determined depending on the nature of the request.

Shared Documents
STUDY PROTOCOL, SAP, ICF
Time Frame
At the end of the study
Access Criteria
Anonymized data that support the findings of this study are available from the corresponding author, upon reasonable request, only for authorized research. Their use is subjected to an agreement with the promotor (Fuwai Hospital) and the principal investigator (Dr Xin Yuan) of the SMART II study. Pseudonymised data that support the findings of this study are available from the promotor (Fuwai Hospital) upon reasonable request, subject to a specific agreement with the promotor (involving the principal investigator) and subject to regulatory proceedings due to data protection applicable laws. Access conditions are to be determined depending on the nature of the request.