- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04223934
Tailored Drug Titration Using Artificial Intelligence
ARTERY Outcomes: Tailored Drug Titration Through Artificial Intelligence - an Interventional Study
Study Overview
Detailed Description
Nearly 34 million Americans have their blood pressure (BP) uncontrolled. Hypertension (HTN) claims 1000 deaths every day. Despite medication and life-style management, the cost of HTN associated hospitalizations had escalated to $113 billion in 2016, or 15% of all hospital costs, with >135 million Emergency Department (ED) visits.
Uncontrolled HTN for even a few weeks is associated with increased risk for acute cardiovascular (CVD) events [stroke, heart failure (HF), myocardial infarction (MI)] and death. Medication treatment optimization to BP goal reduces the incidence of stroke by 35-40%, HF by up to 64%, and MI by 15-25%.
optima-for-blood pressure [optima4BP] transforms the episodic and reactive nature of uncontrolled HTN pharmacological treatment management into a process that is continuous, proactive, and personalized. The innovation simulates the established clinical reasoning treatment decision process undertaken during a patient's visit.
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
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California
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San Francisco, California, United States, 94143
- University of California San Francisco
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-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Two or more blood pressure (BP) readings of ≥ 140/90 mmHg during UCSF primary care or cardiology office visits within the last 12 months
- Therapy with medications from at least 1 anti-HTN pharmacological agents at the time of the last office visit
- At least minimally "tech-savvy" defined as Ownership of a compatible smartphone and Ability to access the internet
- Active Electronic Health Record MyChart account
Exclusion Criteria:
- Home anti-HTN medication therapy doesn't match the electronic health record medication list
- Anti-HTN medication therapy changed within 30 days prior to enrollment
- Inability to operate a BP cuff
- Incompatible smartphone device (Galaxy S5 Android 5.0)
- Less than minimally "tech-savvy" defined as Inability to use the Internet
- Non-compliance with medical follow-up (>3 "no shows" in the previous 12 months)
- Planned coronary revascularization in the next 12 months
- Myocardial infarction, coronary revascularization, stroke, cardiac or aortic surgery in the previous 90 days
- GFR < 30 (CKD stage IV/ V)
- Treating physician rules out the patient due to superseding health management concerns
- Treating physician rules out the patient due to other concerns
Study Plan
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 |
|---|---|
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Experimental: optima4BP
Treating physicians receive periodic (every 5-8 weeks) medication treatment recommendations intended to optimize the current patient treatment. The recommendations are generated based on periodic remote data collected from the patient and from the Electronic Health Record. The analysis of the data allows assessment of the patient's response to current treatment and need for a treatment optimization. If a treatment optimization is needed, one is generated and sent to the treating physician for consideration. |
optima4BP establishes a "no gaps" computational framework in determining the most effective treatment change that can optimize a patient's HTN management towards BP Target.
All possible drug combination options available through the 16 anti-HTN drug classes and subclasses are quantitatively evaluated in the context of 5 actions: add a drug, remove a drug, replace a drug, increase a drug dose, and decrease a drug dose.
The pharmacological intervention efficacy ranking is computed and the highest ranked treatment recommendation is selected for consideration by the treating physician.
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No Intervention: Standard of Care (SOC)
The treating physician follows usual care practices.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Systolic Blood Pressure [SBP] (mmHg) Measured Remotely [Time Frame: 0 - 6 Months]
Time Frame: 6 months
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SBP outcome when optima4BP is used in managing hypertension treatment compared to Standard of Care [Time frame: 0 - 6 months].
|
6 months
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Incidence of Adverse Events [Time Frame: Full 12 Months]
Time Frame: 12 months
|
Incidence of adverse events (AEs) during the course of the study [12 months].
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12 months
|
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SBP at12 Months (End of Study)]
Time Frame: 12 months
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Without o4BP intervention, the o4BP arm will maintain a remote systolic blood pressure (SBP) reduction compared to the SOC arm.
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12 months
|
Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Study Director: Gabriela Voskerician, PhD, Optima Integrated Health
- Principal Investigator: Liviu Klein, MD, University of California, San Francisco
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- O4BP-001
- R44HL149428 (U.S. NIH Grant/Contract)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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