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.
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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)
View Full Details on ClinicalTrials.gov
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NCT06734247
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