NCT07735338

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

63
Monitor

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
300

participants targeted

Target at P75+ for not_applicable

Timeline
49mo left

Started Oct 2026

Longer than P75 for not_applicable

Geographic Reach
1 country

1 active site

Status
not yet recruiting

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

Completed
6 days until next milestone

First Posted

Study publicly available on registry

July 30, 2026

Completed
2 months until next milestone

Study Start

First participant enrolled

October 1, 2026

Expected
4 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

October 1, 2030

Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

October 1, 2030

Last Updated

July 30, 2026

Status Verified

July 1, 2026

Enrollment Period

4 years

First QC Date

July 24, 2026

Last Update Submit

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

OTHER

Participants 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.

Device: Smartphone application Antshrike

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.

Smartphone application Antshrike

Eligibility Criteria

Age40 Years - 79 Years
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)

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

Study Sites (1)

Stanford University

Stanford, California, 94305, United States

Location

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: 30392584BACKGROUND
  • Perez 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

Myocardial InfarctionStroke

Condition Hierarchy (Ancestors)

Myocardial IschemiaHeart DiseasesCardiovascular DiseasesVascular DiseasesInfarctionIschemiaPathologic ProcessesPathological Conditions, Signs and SymptomsNecrosisCerebrovascular DisordersBrain DiseasesCentral Nervous System DiseasesNervous System Diseases

Study Officials

  • Sandra Tsai, MD

    Stanford University

    PRINCIPAL INVESTIGATOR

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.

Locations