Smartphone Application to PREDICT Real-Time Cardiovascular Risk for Heart Attack and Stroke
PREDICT-HS
Prospective Study of the Diagnostic Accuracy of a Smartphone Application to PREDICT Real-Time Cardiovascular Risk for Heart Attack and Stroke (PREDICT-HS)
1 other identifier
interventional
300
1 country
1
Brief Summary
To assess the diagnostic accuracy of a smartphone application in predicting heart attack or stroke within 3-4 days in high-risk patients.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Oct 2026
Longer than P75 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
July 24, 2026
CompletedFirst Posted
Study publicly available on registry
July 30, 2026
CompletedStudy Start
First participant enrolled
October 1, 2026
ExpectedPrimary Completion
Last participant's last visit for primary outcome
October 1, 2030
Study Completion
Last participant's last visit for all outcomes
October 1, 2030
July 30, 2026
July 1, 2026
4 years
July 24, 2026
July 24, 2026
Conditions
Outcome Measures
Primary Outcomes (1)
Number of ASCVD events
ASCVD events include myocardial infarction (MI), ischemic stroke/transient ischemic attack (TIA), CV death, or clinically driven arterial revascularization or hospitalization.
Baseline through 18 months
Study Arms (1)
Smartphone application Antshrike
OTHERParticipants wear the smartwatch throughout the day for 18 months other than when the smartwatch needs to be removed for charging or if the sensors fail. The study participant will be asked to follow instructions on the watch to manage.
Interventions
All participants will wear a smart watch that has an application Antshrike, which will collect demographic data, health history, lifestyle factors, and biobehavioral data for 18 months.
Eligibility Criteria
You may qualify if:
- Be able to provide electronic or written informed consent and be able to effectively communicate and understand the study procedures, risks, and required activities.
- Age 40 to 79 years.
- Be willing to wear a smartwatch continuously for 18 months and comfortable with using wearable devices or other technologies that monitor their data over time.
- Established ASCVD or at an increased risk for a first MACE (i.e., no prior major ASCVD event), defined as anyone of the following:
- i) Evidence of atherosclerotic CAD on CT or invasive coronary angiogram defined as a coronary artery stenosis ≥ 20% but \<50% in the left main coronary artery or a stenosis ≥ 20% but \<70% in any other major coronary artery.
- ii) Coronary artery calcium score ≥ 100 Agatston units.
- iii) High estimated10-year ASCVD risk ≥ 20% by pooled cohort equation.
- iv) Intermediate estimated 10-year ASCVD risk 7.5% to \<20% by pooled cohort equation with at least 2 of the following risk-enhancing factors:
- A first degree relative with history of premature ASCVD (males, age \<55 years; females, age \<65 years).
- History of premature menopause before age 40.
- History of maternal pregnancy complications (defined as a history of either preeclampsia, gestational hypertension, or gestational diabetes).
- South Asian ancestry.
- Chronic inflammatory disorders (defined as either rheumatoid arthritis, systemic lupus erythematosus, psoriasis covering ≥10% of body surface area, Crohn's disease, ulcerative colitis, or HIV/AIDS).
- High-sensitivity C-reactive protein (hsCRP) ≥2 mg/L documented in the 12 months preceding the screening visit, and, in absence of any underlying acute or inflammatory conditions.
- Lipoprotein (a) ≥50 mg/dL or ≥125 nmol/L at any time before the screening visit.
- +4 more criteria
You may not qualify if:
- The 10-year ASCVD risk \<7.5%.
- Elevated troponin at baseline.
- Cognitive impairment.
- Neurological disorders that would impair their ability to provide informed consent or adhere to study protocols.
- Metastatic cancer or active cancer undergoing chemotherapy.
- Terminal illness.
- Pregnant women or women of childbearing potential not using contraception.
- Current or past major psychiatric disorders (e.g., schizophrenia, bipolar disorder, severe depression) that could affect physiological or biometric data.
- Surgical or medical condition, which in the opinion of the Investigator, may place the participant at higher risk from his/her participation in the study, or is likely to prevent the participant from complying with the requirements of the study or completing the study.
- Unwillingness or inability to comply with study procedures, including adherence to study visits, fasting blood draws and compliance with study protocol.
- Residing in an inpatient facility or bedbound
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Stanford Universitylead
- Before Health Intelligence Ltdcollaborator
- Samsung Electronics Co., Ltdcollaborator
Study Sites (1)
Stanford University
Stanford, California, 94305, United States
Related Publications (2)
Turakhia MP, Desai M, Hedlin H, Rajmane A, Talati N, Ferris T, Desai S, Nag D, Patel M, Kowey P, Rumsfeld JS, Russo AM, Hills MT, Granger CB, Mahaffey KW, Perez MV. Rationale and design of a large-scale, app-based study to identify cardiac arrhythmias using a smartwatch: The Apple Heart Study. Am Heart J. 2019 Jan;207:66-75. doi: 10.1016/j.ahj.2018.09.002. Epub 2018 Sep 8.
PMID: 30392584BACKGROUNDPerez MV, Mahaffey KW, Hedlin H, Rumsfeld JS, Garcia A, Ferris T, Balasubramanian V, Russo AM, Rajmane A, Cheung L, Hung G, Lee J, Kowey P, Talati N, Nag D, Gummidipundi SE, Beatty A, Hills MT, Desai S, Granger CB, Desai M, Turakhia MP; Apple Heart Study Investigators. Large-Scale Assessment of a Smartwatch to Identify Atrial Fibrillation. N Engl J Med. 2019 Nov 14;381(20):1909-1917. doi: 10.1056/NEJMoa1901183.
PMID: 31722151BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Sandra Tsai, MD
Stanford University
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- OTHER
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Clinical Associate Professor in Medicine
Study Record Dates
First Submitted
July 24, 2026
First Posted
July 30, 2026
Study Start (Estimated)
October 1, 2026
Primary Completion (Estimated)
October 1, 2030
Study Completion (Estimated)
October 1, 2030
Last Updated
July 30, 2026
Record last verified: 2026-07
Data Sharing
- IPD Sharing
- Will not share
No. Individual participant data collected during this study will not be shared with other researchers outside Stanford's primary research team and the adjudication team.