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Implementation of Machine Learning and Hemodynamic Profiles Based Clinical Decision Support Systems for Personalized Guideline Accordant Antihypertensive Regimens in Primary Care: a Pragmatic Cluster Randomized Controlled Trial

Implementation of Machine Learning and Hemodynamic Profiles Based Clinical Decision Support Systems for Personalized Guideline Accordant Antihypertensive Regimens in Primary Care: a Pragmatic Cluster Randomized Controlled Trial

Status
Recruiting
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT06828692
Enrollment
2160
Registered
2025-02-14
Start date
2025-05-26
Completion date
2026-05-31
Last updated
2026-02-12

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Hypertension

Keywords

Hypertension, CDSS, cluster randomized controlled trial

Brief summary

This trial is a prospective, multicenter, single-blind, three-arm parallel-group, cluster randomized controlled trial assessing the effectiveness and safety of two types of CDSS in primary care settings in China. Primary care sites are randomized to one of the intervention arms or the control arm (1:1:1 ratio) using computer-generated random numbers stratified by region and administrative categories of the primary healthcare institutions (including community health centers, community health stations, and township health centers). A total of 51 primary care sites are randomized to three groups, with 17 sites assigned to group A (use a CDSS based on clinical guidelines and machine learning), 17 sites to group B (use a CDSS based on guidelines, hemodynamic parameters and ML), and the remaining 17 sites to the control group.

Interventions

COMBINATION_PRODUCTGroup A (clinical guideline+machine learning)

Group A (CG+ML): A Clinical Decision Support System (CDSS) with the algorithm that incorporates clinical guideline (CG) and machine learning (ML) approach.

COMBINATION_PRODUCTGroup B (clinical guideline+impedance cardiograph+machine learning)

Group B (CG+ICG+ML): A Clinical Decision Support System (CDSS) with the algorithm that incorporates clinical guideline (CG), hemodynamic parameters measured by impedance cardiograph (ICG), and machine learning (ML) approach.

OTHERGroup C (usual care)

Control group, the physicians manage the hypertensive patients according to their knowledge and experiences.

Sponsors

China National Center for Cardiovascular Diseases
Lead SponsorOTHER_GOV

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
TREATMENT
Masking
SINGLE (Subject)

Eligibility

Sex/Gender
ALL
Age
35 Years to 79 Years
Healthy volunteers
No

Inclusion criteria

1. 35 ≤ Age \< 80 years. 2. Regularly attend the clinic for hypertension treatment during the study period, without plans of traveling during the study period. 3. Diagnosed with hypertension, with SBP ≥140mmHg at screening. 4. Currently taking 0 or 2 classes of antihypertensive medications (A/C/D), with or without concurrent use of class B. 5. Willing to participate in the trial and capable of providing written informed consent.

Exclusion criteria

1. Physician-diagnosed or suspected secondary hypertension (e.g., hypertension caused by renal disease, renal artery stenosis, aortic stenosis, primary aldosteronism, pheochromocytoma/paraganglioma, Cushing's syndrome, thyroid dysfunction, intracranial disease, drug-induced, or rare monogenic genetic disease). 2. SBP ≥180mmHg and/or DBP ≥110mmHg at the screening visit. 3. Suspected or diagnosed white coat hypertension. 4. History of coronary heart disease. 5. History of heart failure. 6. Intolerance to 2 or more classes of A, C,D antihypertensive medications. 7. Currently taking antihypertensive medications other than class A,B,C and D. 8. Diagnosed chronic kidney disease, estimating Glomerular Filtration Rate (eGFR)\< 60 ml/min·1.73m2, or receiving dialysis. 9. Serious medical conditions (e.g., malignant cancer and hepatic dysfunction) 10. Currently in an acute episode of disease (e.g, new-onset cardiovascular and cerebrovascular disease occurred within 3 months). 11. Cognitive or communicative disorders. 12. Currently pregnant or breastfeeding or planning a pregnant or breastfeeding during the study. 13. Reluctant to take antihypertensive medications or have poor compliance with previous treatment. 14. Participating in other clinical trials.

Design outcomes

Primary

MeasureTime frameDescription
hierarchical composite outcomeBaseline; 3 monthsThe primary outcome of the trial is a hierarchical composite outcome, evaluated using the Win-ratio method in the following order: 1. Office blood pressure control rate (\<130/80 mmHg) at 3 months after randomization. 2. The duration from baseline to the first occurrence of controlled blood pressure achievement (\<130/80 mmHg) within 3 months after randomization. 3. The composite index of the number and dosage of antihypertensive drugs among participants achieved controlled blood pressure at 3 months after randomization.

Secondary

MeasureTime frameDescription
Separate evaluation of each component of the three-tier hierarchical composite primary outcome at 3 monthsBaseline; 3 months
Changes in office systolic and diastolic blood pressure from baseline to 1 month and 3 monthsBaseline; 1 month; 3 months
Average 24-hour ambulatory systolic and diastolic blood pressure, along with blood pressure control rate at 3 months3 months
Changes in hemodynamic parameters measured by ICG from baseline to 3 monthsBaseline; 3 monthsIncluding dynamic parameters (heart rate and cardiac index), resistance parameters (arterial stiffness index and systemic vascular resistance index), and volume parameters (thoracic blood volume saturation)
Differences in the three-tier hierarchical composite primary outcomes and each component of the three-tier hierarchical composite primary outcome among intervention groups at 3 monthsBaseline; 3 months

Countries

China

Contacts

CONTACTXiaofang Yan
yanxiaofang@fuwai.com0086 10 60686871
CONTACTXin Zheng
zhengxin@fuwai.com0086 10 60866719
PRINCIPAL_INVESTIGATORXin Zheng

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

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 13, 2026