Data Aquisition for Optimization of Coronary Artery Disease Algorithm

Acarix729 enrolled

Overview

The purpose of the study is to optimize an already existing algorithm for diagnosing atherosclerosis of the coronary arteries (CAD, Coronary Artery Disease).

Acoustic information from the heart is obtained from patients suffering from Coronary Artery Disease. The acoustic signals are evaluated as indicators for CAD.

Study Type

OBSERVATIONAL

Enrollment

729

Conditions

Coronary Artery Disease

Interventions

ProtoCADDEVICE

Aquiring acoustic signals from heart patients.

Eligibility

Sex: ALLMin age: 18 Years

Medical Language ↔ Plain English

Inclusion Criteria: * Age minimum 18 years * Referred to CAG on suspicion of CAD * Stabile angina without ACS * Signed informed consent Exclusion Criteria: * ACS * Previous bypass operation * Previous heart transplant(incl. mechanical or artificial) * Pregnancy * Damaged skin on examination location

Locations (1)

University Hospital of Copenhagen

Copenhagen, Denmark

Outcomes

Primary Outcomes

Sensitivity versus 1-specificity as a function of cut-off values on the 'Cardiac Noise Marker' scale here under Sensitivity by suitable cut-off value on the 'Cardiac Noise Marker' scale and Specificity with same cut-off value.

Time frame: The first testday

Secondary Outcomes

Observed differences in distribution of 'Cardiac Noise Marker' within three sub-groups.

Time frame: The first testday

Data from ClinicalTrials.gov

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