Danish study of Non-Invasive testing in Coronary Artery Disease 2 (Dan-NICAD 2): Study design for a controlled study of diagnostic accuracy.


Journal

American heart journal
ISSN: 1097-6744
Titre abrégé: Am Heart J
Pays: United States
ID NLM: 0370465

Informations de publication

Date de publication:
09 2019
Historique:
received: 07 09 2018
accepted: 27 03 2019
pubmed: 20 7 2019
medline: 7 3 2020
entrez: 20 7 2019
Statut: ppublish

Résumé

Coronary computed tomography angiography (CTA) is the preferred primary diagnostic modality when examining patients with low to intermediate pre-test probability of coronary artery disease (CAD). Only 20-30% of these have potentially obstructive CAD. Because of the relatively poor positive predictive value of coronary CTA, unnecessary invasive coronary angiographies (ICAs) are conducted with the costs and risks associated with the procedure. Hence, an optimized diagnostic CAD algorithm may reduce the numbers of ICAs not followed by revascularization. The Dan-NICAD 2 study has 3 equivalent main aims: (1) To examine the diagnostic precision of a sound-based diagnostic algorithm, The CADScor®System (Acarix A/S, Denmark), in patients with a low to intermediate pre-test risk of CAD referred to a primary examination by coronary CTA. We hypothesize that the CADScor®System provides better stratification prior to coronary CTA than clinical risk stratification scores alone. (2) To compare the diagnostic accuracy of 3T cardiac magnetic resonance imaging (3T CMRI), Dan-NICAD 2 is a prospective, multicenter, cross-sectional study including approximately 2,000 patients with low to intermediate pre-test probability of CAD and without previous history of CAD. Patients are referred to coronary CTA because of symptoms suggestive of CAD, as evaluated by a cardiologist. Patient interviews, sound recordings, and blood samples are obtained in connection with the coronary CTA. If coronary CTA does not rule out obstructive CAD, patients will be examined by 3T CMRI The results of the Dan-NICAD 2 study are expected to contribute to the improvement of diagnostic strategies for patients suspected of CAD in 3 different steps: risk stratification prior to coronary CTA, diagnostic strategy after coronary CTA, and invasive wireless QFR analysis as an alternative to ICA-FFR.

Sections du résumé

BACKGROUND
Coronary computed tomography angiography (CTA) is the preferred primary diagnostic modality when examining patients with low to intermediate pre-test probability of coronary artery disease (CAD). Only 20-30% of these have potentially obstructive CAD. Because of the relatively poor positive predictive value of coronary CTA, unnecessary invasive coronary angiographies (ICAs) are conducted with the costs and risks associated with the procedure. Hence, an optimized diagnostic CAD algorithm may reduce the numbers of ICAs not followed by revascularization. The Dan-NICAD 2 study has 3 equivalent main aims: (1) To examine the diagnostic precision of a sound-based diagnostic algorithm, The CADScor®System (Acarix A/S, Denmark), in patients with a low to intermediate pre-test risk of CAD referred to a primary examination by coronary CTA. We hypothesize that the CADScor®System provides better stratification prior to coronary CTA than clinical risk stratification scores alone. (2) To compare the diagnostic accuracy of 3T cardiac magnetic resonance imaging (3T CMRI),
METHODS
Dan-NICAD 2 is a prospective, multicenter, cross-sectional study including approximately 2,000 patients with low to intermediate pre-test probability of CAD and without previous history of CAD. Patients are referred to coronary CTA because of symptoms suggestive of CAD, as evaluated by a cardiologist. Patient interviews, sound recordings, and blood samples are obtained in connection with the coronary CTA. If coronary CTA does not rule out obstructive CAD, patients will be examined by 3T CMRI
DISCUSSION
The results of the Dan-NICAD 2 study are expected to contribute to the improvement of diagnostic strategies for patients suspected of CAD in 3 different steps: risk stratification prior to coronary CTA, diagnostic strategy after coronary CTA, and invasive wireless QFR analysis as an alternative to ICA-FFR.

Identifiants

pubmed: 31323454
pii: S0002-8703(19)30083-3
doi: 10.1016/j.ahj.2019.03.016
pii:
doi:

Banques de données

ClinicalTrials.gov
['NCT03481712']

Types de publication

Journal Article Multicenter Study Randomized Controlled Trial

Langues

eng

Sous-ensembles de citation

IM

Pagination

114-128

Informations de copyright

Copyright © 2019 Elsevier Inc. All rights reserved.

Auteurs

Laust Dupont Rasmussen (LD)

Department of Cardiology, Hospital Unit West, Gl. Landevej 61, Herning, Denmark. Electronic address: lausra@rm.dk.

Simon Winther (S)

Department of Cardiology, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, Aarhus, Denmark.

Jelmer Westra (J)

Department of Cardiology, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, Aarhus, Denmark.

Christin Isaksen (C)

Department of Radiology, Regional Hospital Central Jutland, Falkevej 1A, Silkeborg, Denmark.

June Anita Ejlersen (JA)

Department of Nuclear Medicine, Hospital Unit West, Gl. Landevej 61, Herning, Denmark.

Lau Brix (L)

Department of Radiology, Regional Hospital Central Jutland, Falkevej 1A, Silkeborg, Denmark.

Jane Kirk (J)

Department of Cardiology, Regional Hospital Central Jutland, Falkevej 1A, Silkeborg, Denmark.

Grazina Urbonaviciene (G)

Department of Cardiology, Regional Hospital Central Jutland, Falkevej 1A, Silkeborg, Denmark.

Hanne Maare Søndergaard (HM)

Department of Cardiology, Regional Hospital Central Jutland, Heibergs Allé 4, Viborg, Denmark.

Osama Hammid (O)

Department of Cardiology, Regional Hospital East Jutland, Skovlyvej 15, Randers, Denmark.

Samuel Emil Schmidt (SE)

Department of Health Science and Technology, Aalborg University, Aalborg, Denmark.

Lars Lyhne Knudsen (LL)

Department of Cardiology, Hospital Unit West, Gl. Landevej 61, Herning, Denmark.

Lene Helleskov Madsen (LH)

Department of Cardiology, Hospital Unit West, Gl. Landevej 61, Herning, Denmark.

Lars Frost (L)

Department of Cardiology, Regional Hospital Central Jutland, Falkevej 1A, Silkeborg, Denmark.

Steffen E Petersen (SE)

Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London, United Kingdom; William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London, United Kingdom.

Lars Christian Gormsen (LC)

Department of Nuclear Medicine, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, Aarhus, Denmark.

Evald Høj Christiansen (EH)

Department of Cardiology, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, Aarhus, Denmark.

Ashkan Eftekhari (A)

Department of Cardiology, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, Aarhus, Denmark.

Niels Ramsing Holm (NR)

Department of Cardiology, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, Aarhus, Denmark.

Mette Nyegaard (M)

Department of Biomedicine, Aarhus University, Aarhus, Denmark.

Amedeo Chiribiri (A)

Department of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, United Kingdom.

Hans Erik Bøtker (HE)

Department of Cardiology, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, Aarhus, Denmark.

Morten Böttcher (M)

Department of Cardiology, Hospital Unit West, Gl. Landevej 61, Herning, Denmark. Electronic address: morboett@rm.dk.

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