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

NCT06734247 · Status: TERMINATED · Type: OBSERVATIONAL · Enrollment: 156

Last updated 2026-04-17

No results posted yet for this study

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

Conditions

Interventions

DIAGNOSTIC_TEST

Coronary computer tomography angiography (CCTA)

Use of standard equipment for usual care

OTHER

Photoplethysmography (PPG) and single-lead ECG

Physiological data acquisition equipment

DEVICE

Brachial single cuff-based arterial stiffness

Use of standard equipment

Sponsors & Collaborators

  • KTH Royal Institute of Technology

    collaborator OTHER

  • Danderyd Hospital

    lead OTHER

Principal Investigators

  • Jonas Spaak, MD, PhD · Karolinska Institutet, Department of Clinical Sciences, Danderyd Hospital, Division of Cardiovascular Medicine, Stockholm, Sweden

Eligibility

Min Age
30 Years
Max Age
70 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2023-10-24
Primary Completion
2025-07-01
Completion
2025-07-01

Countries

  • Sweden

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06734247 on ClinicalTrials.gov