Actively Recruiting
New Taipei City 888 Digital Medical AI Platform for Prevention and Care of the Three Highs and Cardio-Renal-Vascular Diseases
Led by New Taipei City Medical Association · Updated on 2026-05-14
4162
Participants Needed
1
Research Sites
156 weeks
Total Duration
On this page
Sponsors
N
New Taipei City Medical Association
Lead Sponsor
N
National Taiwan University
Collaborating Sponsor
AI-Summary
What this Trial Is About
Non-communicable diseases (NCDs), or chronic diseases, are a major public health burden globally and in Taiwan, and control of the "three highs" (hypertension, dyslipidemia, and hyperglycemia) is a national priority. Nearly half of the 10 leading causes of death in Taiwan are directly or indirectly related to atherosclerotic cardiovascular disease (ASCVD), for which hypertension, dyslipidemia, and abnormal blood glucose are the major risk factors. National health insurance data indicate that over 70% of middle-aged and older adults have at least one of these chronic conditions. Early stages are often asymptomatic, and inadequate control may lead to complications of cardiovascular disease, stroke, renal vascular disease, and retinopathy, causing irreversible organ damage and death. For blood pressure, large clinical trials such as SPRINT and STEP have shown that targeting systolic blood pressure below 130 mmHg significantly reduces ASCVD events. For LDL cholesterol, "the lower, the better" applies, with guideline-recommended LDL-C targets determined by baseline ASCVD risk, with levels below 55 mg/dL for very high-risk patients. For diabetes, treatment goals generally include fasting plasma glucose below 130 mg/dL and glycated hemoglobin (HbA1c) below 7%. Although antihypertensive therapy has been proven effective in preventing cardiovascular disease and chronic kidney disease attributable to hypertension, fewer than one-third of patients receiving antihypertensive medications achieve current guideline-recommended blood pressure targets. No randomized clinical trial to date has used home blood pressure as the primary therapeutic reference. Moreover, long-term evidence is lacking regarding the organ-protective effects of strategies targeting morning hypertension and of bedtime dosing regimens. Although the TIME study is currently the largest and longest-followed trial addressing dosing time, its bedtime-dosing arm was not specifically targeted to patients with morning hypertension. Therefore, we propose a clinical trial to investigate management strategies for morning hypertension. Aligned with the 2022 Taiwan Hypertension Guidelines, we will employ the "722 protocol" for home blood pressure monitoring and enroll patients with morning home blood pressure ≥130/80 mmHg to compare selective nocturnal administration of antihypertensive agents versus exclusive morning dosing, assessing differences in morning home blood pressure control rates, end-organ damage, and atherosclerotic cardiovascular disease (ASCVD) events. This project will implement two large-scale cluster-randomized clinical trials within the New Taipei City healthcare network. The first trial (T-888-DIGICARE) will evaluate whether a mobile digital health platform augmented with interactive digital modules can more effectively achieve the "888" targets for prevention and treatment of the Three Highs (Hypertension, Hyperglycemia, Hyperlipidemia). The second trial (DREAM-G) will use the same mobile health delivery model to investigate whether the timing of antihypertensive medication administration (nocturnal versus morning dosing) differentially affects patients with poor morning home blood pressure control. Beyond generating rigorous evidence through a novel clinical approach, this program is expected to have substantial global clinical impact and to showcase Taiwan's healthcare capabilities internationally. Operational challenges encountered and solutions developed during the trials will also provide critical feasibility data for the concurrent real-world implementation registry (T-888-DIGICARE-Registry). The registry will run in parallel with the cluster trials and will enroll individuals who decline trial participation at baseline as well as participants after trial completion, thereby serving as a continuity and real-world evidence platform.
CONDITIONS
Official Title
New Taipei City 888 Digital Medical AI Platform for Prevention and Care of the Three Highs and Cardio-Renal-Vascular Diseases
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Diagnosed hypertension with office blood pressure \u003e130/80 mmHg or home blood pressure weekly average \u003e130/80 mmHg
- Presence of hyperlipidemia with LDL cholesterol \u003e100 mg/dL or \u003e70 mg/dL if diabetes or ASCVD
- Presence of diabetes mellitus with HbA1c \u003e6.5%
- Chronic kidney disease with estimated glomerular filtration rate below 60 mL/min/1.73 m6 and urine albumin-to-creatinine ratio above 30 mg/g
- Diagnosis of atherosclerotic cardiovascular disease including coronary artery disease, cerebrovascular disease, peripheral arterial disease, or aortic pathology
- For DREAM-G: untreated or treated hypertension with morning home blood pressure above 130/80 mmHg and weekly average \u003e130/80 mmHg or more than half of morning readings above this threshold
You will not qualify if you...
- Symptomatic heart failure (New York Heart Association class II-IV) for T-888-DIGICARE
- End-stage renal disease requiring long-term dialysis for T-888-DIGICARE
- Pregnant women or those planning pregnancy for T-888-DIGICARE
- Life expectancy less than 1 year for DREAM-G
- End-stage renal disease requiring dialysis, kidney transplant, or palliative care for DREAM-G
- Severe liver cirrhosis for DREAM-G
- Active malignancy under treatment for DREAM-G
AI-Screening
AI-Powered Screening
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Trial Site Locations
Total: 1 location
1
United safety medical group(USMG)
New Taipei City, Taiwan
Actively Recruiting
Research Team
H
Hung-Shun Yen Principal Investigator
CONTACT
T
Tzung-Dau Wang Co-Principal Investigator
CONTACT
How is the study designed?
Study Type
INTERVENTIONAL
Masking
SINGLE
Allocation
RANDOMIZED
Model
PARALLEL
Primary Purpose
HEALTH_SERVICES_RESEARCH
Number of Arms
4
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