Digital Remote Management for Care and Continuous Optimization Versus Usual Care to Reduce Risk of Atherosclerotic Cardiovascular Diseases (DigiCare-ASCVD) (DigiCare-ASCVD)

December 31, 2025 updated by: Chang sheng Ma, Beijing Anzhen Hospital
The DigiCare-ASCVD study is an investigator-initiated, multicenter, open-label, parallel-group randomized controlled trial. It aims to evaluated whether digital remote management is superior to usual care in reducing risk of atherosclerotic cardiovascular diseases and improving blood pressure control, glycemic control, lipids control, medication compliance and lifestyle.

Study Overview

Status

Not yet recruiting

Detailed Description

"Atherosclerotic cardiovascular disease (ASCVD) is a leading global cause of mortality. Primary care is central to its prevention within tiered healthcare systems, yet faces challenges including physician training gaps and inefficient specialist referrals. Digital remote interventions offer a promising solution due to widespread smartphone/internet access, enabling convenient care and real-time data use. Current tools focus on patient education/reminders or clinical decision support (CDSS) separately. However, effective long-term ASCVD management requires an integrated system that combines CDSS-guided treatment with comprehensive, sustained risk-factor monitoring (e.g., blood pressure, lipids). This study aims to develop and validate such an integrated remote management platform to overcome multi-level barriers, disseminate advanced resources to primary care, and enhance equitable cardiovascular risk prevention.

The DigiCare-ASCVD Study is a multicenter, open-label, randomized controlled trial with a 1:1 parallel-group design. It will enroll 790 patients at high risk for ASCVD. All enrolled patients will be randomly assigned in a 1:1 ratio to either the Digital Remote Management group or the usual care group.

Patients in the Digital Remote Management group will utilize a smartphone-based ""physician-machine collaboration"" platform. This system integrates home monitoring to track BP, lipids,glucose, medication compliance and physical activity. It features AI-driven alerts for abnormal values, automated medication adjustment suggestions (verified by physicians), and targeted health education The primary endpoint is the mean change in the patient's 10-year ASCVD risk, calculated using the China-PAR risk prediction model, from baseline to the 12-month follow-up."

Study Type

Interventional

Enrollment (Estimated)

790

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

      • Beijing, China
        • Beijing Anzhen Hospital, Capital Medical University, Beijing, China
      • Changchun, China
        • The First Hospital of Jilin University, Changchun, China
      • Dalian, China
        • The First Affiliated Hospital of Dalian Medical University, Dalian, China
      • Nanchang, China
        • The Second Affiliated Hospital of Nanchang University, Nanchang, China
      • Shanghai, China
        • Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Description

Inclusion Criteria:

  1. 10-year ASCVD risk ≥ 10%, calculated using the China-PAR risk prediction model
  2. Adultd aged ≥ 35 years
  3. Able to use a smartphone (or assisted by family) and agrees to remote management
  4. Signed informed consent

Exclusion Criteria:

  1. History of acute myocardial infarction, stroke, heart failure, malignant arrhythmia, or prior percutaneous coronary intervention or coronary artery bypass grafting surgery
  2. Moderate to severe hepatic dysfunction (Child-Pugh class B-C)
  3. CKD stages 4-5 (eGFR <30 ml/min/1.73m²) or on dialysis
  4. Chronic obstructive pulmonary disease requiring ongoing home oxygen therapy or chronic oral steroid therapy as an outpatient
  5. Pregnant, planning to become pregnant within the next 12 months
  6. Life expectancy <12 months (e.g., advanced malignancy, etc.);
  7. Cognitive impairment or communication disorder.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Treatment
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Single

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
No Intervention: Usual care Group
Usual Care Group: Patients receive standard BP, lipids,glucose and physical activity management including guideline-directed medication and outpatient follow-up at 3, 6, 9, 12 months.
Experimental: Digital Remote Management Group

In addition to usual care, patients receive a 1-year intervention via a smartphone-based ""physician-machine collaboration"" platform:

  1. BP Management: Daily or weekly self-monitoring based on control status. System triggers alerts for BP >130/80 mmHg and generates medication adjustment suggestions for physician approval.
  2. Lipid Management: Reminder for lab tests. OCR technology parses results. If LDL-C ≥2.6 mmol/L, the system suggests regimen intensification for physician review.
  3. Blood Glucose Management: Reminder for lab tests. OCR technology parses results.If Fasting Blood Glucose (FBG) ≥6.1 mmol/L for patients without diabetes and FBG ≥7.0 mmol/L for patients with diabetes, the system suggests regimen intensification for physician review.
  4. Medication Management: Daily app-based reminders and clock-in tasks. Non-adherence triggers automated reminders and human follow-up.
  5. Health Education: Regular push of targeted articles/videos on secondary prevention。

In addition to usual care, patients receive a 1-year intervention via a smartphone-based ""physician-machine collaboration"" platform:

  1. BP Management: Daily or weekly self-monitoring based on control status. System triggers alerts for BP >130/80 mmHg and generates medication adjustment suggestions for physician approval.
  2. Lipid Management: Reminder for lab tests. OCR technology parses results. If LDL-C ≥2.6 mmol/L, the system suggests regimen intensification for physician review.
  3. Blood Glucose Management: Reminder for lab tests. OCR technology parses results.If Fasting Blood Glucose (FBG) ≥6.1 mmol/L for patients without diabetes and FBG ≥7.0 mmol/L for patients with diabetes, the system suggests regimen intensification for physician review.
  4. Medication Management: Daily app-based reminders and clock-in tasks. Non-adherence triggers automated reminders and human follow-up.
  5. Health Education: Regular push of targeted articles/videos on secondary prevention。

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Time Frame
Mean change in the patient's 10-year ASCVD risk, calculated using the China-PAR risk prediction model
Time Frame: 12 Months
12 Months

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Medication Adherence
Time Frame: 12 Months
MARS-10 scale
12 Months
Smoking Cessation Rate
Time Frame: 12 Months
Self-reported complete abstinence from smoking among baseline smokers
12 Months
Mean change in the patient's lifetime ASCVD risk, calculated using the China-PAR risk prediction model.
Time Frame: Baseline and 12 Months
Baseline and 12 Months
Simultaneous Control Rate of Blood Pressure
Time Frame: 12 Months
SBP < 130 mmHg, DBP < 80 mmHg
12 Months
Mean change in SBP and DBP compared to baseline
Time Frame: 12 Months
12 Months
Overweight or Obesity Rate
Time Frame: 12 Months
12 Months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

January 1, 2026

Primary Completion (Estimated)

March 1, 2027

Study Completion (Estimated)

April 1, 2027

Study Registration Dates

First Submitted

December 31, 2025

First Submitted That Met QC Criteria

December 31, 2025

First Posted (Estimated)

January 12, 2026

Study Record Updates

Last Update Posted (Estimated)

January 12, 2026

Last Update Submitted That Met QC Criteria

December 31, 2025

Last Verified

December 1, 2025

More Information

Terms related to this study

Other Study ID Numbers

  • KS2025288

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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