The DigiCare-preASCVD 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.
"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 564 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
Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
SINGLE
Enrollment
564
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。
Beijing Anzhen Hospital, Capital Medical University, Beijing, China
Beijing, China
RECRUITINGThe First Hospital of Jilin University, Changchun, China
Changchun, China
RECRUITINGThe First Affiliated Hospital of Dalian Medical University, Dalian, China
Dalian, China
RECRUITINGThe Second Affiliated Hospital of Nanchang University, Nanchang, China
Nanchang, China
RECRUITINGRuijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
Shanghai, China
RECRUITINGMean change in the patient's 10-year ASCVD risk, calculated using the China-PAR risk prediction model
Time frame: From Baseline to 12 Months
Control Rate of Systolic Blood Pressure (SBP)
SBP \< 130 mmHg at 12 months
Time frame: 12 Months
Control Rate of Diastolic Blood Pressure (DBP)
DBP \< 80 mmHg at 12 months
Time frame: 12 Months
Mean change in SBP compared to baseline
Time frame: From Baseline to 12 Months
Mean change in DBP compared to baseline
Time frame: From Baseline to 12 Months
Mean change in fasting blood glucose compared to baseline
Time frame: From Baseline to 12 Months
Mean change in low-density lipoprotein compared to baseline
Time frame: From Baseline to 12 Months
Overweight or Obesity Rate compared to Baseline
Time frame: From Baseline to 12 Months
Current Smoking Rate compared to Baseline
Time frame: From Baseline to 12 Months
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