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Arterial Stiffness for Improved Prediction of Coronary Artery Disease by Coronary CT Angiography
Sponsor: Danderyd Hospital
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
Official title: Pulse Wave Velocity and Machine Learning for Prediction of Coronary Artery Disease by Coronary CT Angiography - the Heart Waves Study
Key Details
Gender
All
Age Range
30 Years - 70 Years
Study Type
OBSERVATIONAL
Enrollment
200
Start Date
2023-10-24
Completion Date
2025-12
Last Updated
2024-12-16
Healthy Volunteers
No
Interventions
Coronary computer tomography angiography (CCTA)
Use of standard equipment for usual care
Photoplethysmography (PPG) and single-lead ECG
Physiological data acquisition equipment
Brachial single cuff-based arterial stiffness
Use of standard equipment
Locations (1)
Danderyd University Hospital
Stockholm, Sweden