RecruitingNCT06734247

Arterial Stiffness for Improved Prediction of Coronary Artery Disease by Coronary CT Angiography

Pulse Wave Velocity and Machine Learning for Prediction of Coronary Artery Disease by Coronary CT Angiography - the Heart Waves Study


Sponsor

Danderyd Hospital

Enrollment

200 participants

Start Date

Oct 24, 2023

Study Type

OBSERVATIONAL

Conditions

Summary

This study will evaluate the ability of device-estimated pulse wave velocity and machine learning methods to improve the prediction of potential symptomatic coronary artery disease


Eligibility

Min Age: 30 YearsMax Age: 70 Years

Inclusion Criteria2

  • Patients undergoing coronary computer tomography angiography to investigate stable suspected symptomatic coronary artery disease.
  • Age 30 to <70 years of age.

Exclusion Criteria5

  • Known coronary artery disease (prior myocardial infarction, percutaneous coronary intervention, coronary artery bypass graft or any angiographic evidence of coronary artery disease ≥50% lesion in a major epicardial vessel).
  • Known significant cardiac (> moderate valvular disease, heart failure with reduced ejection fraction, hypertrophic cardiomyopathy, or congenital heart disease), or pulmonary condition which could explain symptoms.
  • Known ongoing atrial fibrillation/flutter.
  • No Swedish social security number.
  • Unable to provide written informed consent.

Interested in this trial?

Get notified about updates and connect with the research team.

Interventions

DIAGNOSTIC_TESTCoronary computer tomography angiography (CCTA)

Use of standard equipment for usual care

OTHERPhotoplethysmography (PPG) and single-lead ECG

Physiological data acquisition equipment

DEVICEBrachial single cuff-based arterial stiffness

Use of standard equipment


Locations(1)

Danderyd University Hospital

Stockholm, Sweden

View Full Details on ClinicalTrials.gov

For the most up-to-date information, visit the official listing.

Visit

NCT06734247


Related Trials