Abstract

Aim

To determine the effectiveness of functional stress testing and computed tomography angiography (CTA) for diagnosis of obstructive coronary artery disease (CAD).

Methods and results

Two-thousand nine-hundred twenty symptomatic stable chest pain patients were included in the international Collaborative Meta-Analysis of Cardiac CT consortium to compare CTA with exercise electrocardiography (exercise-ECG) and single-photon emission computed tomography (SPECT) for diagnosis of CAD defined as ≥ 50% diameter stenosis by invasive coronary angiography (ICA) as reference standard. Generalised linear mixed models were used for calculating the diagnostic accuracy of each diagnostic test including non-diagnostic results as dependent variables in a logistic regression model with random intercepts and slopes. Covariates were the reference standard ICA, the type of diagnostic method, and their interactions. CTA showed significantly better diagnostic performance (p < 0.0001) with a sensitivity of 94.6% (95% CI 92.7–96) and a specificity of 76.3% (72.2–80) compared to exercise-ECG with 54.9% (47.9–61.7) and 60.9% (53.4–66.3), SPECT with 72.9% (65–79.6) and 44.9% (36.8–53.4), respectively. The positive predictive value of CTA was ≥ 50% in patients with a clinical pretest probability of 10% or more while this was the case for ECG and SPECT at pretest probabilities of ≥ 40 and 28%. CTA reliably excluded obstructive CAD with a post-test probability of below 15% in patients with a pretest probability of up to 74%.

Conclusion

In patients with stable chest pain, CTA is more effective than functional testing for the diagnosis as well as for reliable exclusion of obstructive CAD. CTA should become widely adopted in patients with intermediate pretest probability.

Systematic review registration

PROSPERO Database for Systematic Reviews—CRD42012002780.

Critical relevance statement

In symptomatic stable chest pain patients, coronary CTA is more effective than functional testing for diagnosis and reliable exclusion of obstructive CAD in intermediate pretest probability of CAD.

Key Points

Coronary computed tomography angiography showed significantly better diagnostic performance (p < 0.0001) for diagnosis of coronary artery disease compared to exercise-ECG and SPECT.

The positive predictive value of coronary computed tomography angiography was ≥ 50% in patients with a clinical pretest probability of at least 10%, for ECG ≥ 40%, and for SPECT 28%.

Coronary computed tomography angiography reliably excluded obstructive coronary artery disease with a post-test probability of below 15% in patients with a pretest probability of up to 74%.

Details

Title
The effectiveness of coronary computed tomography angiography and functional testing for the diagnosis of obstructive coronary artery disease: results from the individual patient data Collaborative Meta-Analysis of Cardiac CT (COME-CCT)
Author
Schlattmann, Peter 1 ; Wieske, Viktoria 2 ; Bressem, Keno K. 2 ; Götz, Theresa 1 ; Schuetz, Georg M. 2 ; Andreini, Daniele 3 ; Pontone, Gianluca 3 ; Alkadhi, Hatem 4 ; Hausleiter, Jörg 5 ; Zimmermann, Elke 2 ; Gerber, Bernhard 6 ; Shabestari, Abbas A. 7 ; Meijs, Matthijs F. L. 8 ; Sato, Akira 9 ; Øvrehus, Kristian A. 10 ; Jenkins, Shona M. M. 11 ; Knuuti, Juhani 12 ; Hamdan, Ashraf 13 ; Halvorsen, Bjørn A. 14 ; Mendoza-Rodriguez, Vladimir 15 ; Rixe, Johannes 16 ; Wan, Yung-Liang 17 ; Langer, Christoph 18 ; Leschka, Sebastian 19 ; Martuscelli, Eugenio 20 ; Ghostine, Said 21 ; Tardif, Jean-Claude 22 ; Sánchez, Alejandra Rodríguez 2 ; Haase, Robert 2 ; Dewey, Marc 23   VIAFID ORCID Logo 

 University Hospital of Friedrich Schiller University Jena, Institute of Medical Statistics, Computer Sciences, and Data Science, Jena, Germany (GRID:grid.9613.d) (ISNI:0000 0001 1939 2794) 
 Charité—Universitätsmedizin Berlin, Department of Radiology, Berlin, Germany (GRID:grid.6363.0) (ISNI:0000 0001 2218 4662) 
 IRCCS, Centro Cardiologico Monzino, Milan, Italy (GRID:grid.418230.c) (ISNI:0000 0004 1760 1750) 
 Institute of Diagnostic and Interventional Radiology University Hospital Zurich, Zurich, Switzerland (GRID:grid.412004.3) (ISNI:0000 0004 0478 9977) 
 Maximilians-University of Munich, Munich, Germany (GRID:grid.5252.0) (ISNI:0000 0004 1936 973X) 
 Institut de Recherche Clinique et Expérimentale, Department of Cardiology, Clinique Universitaire St Luc, Brussels, Belgium (GRID:grid.48769.34) (ISNI:0000 0004 0461 6320) 
 Shahid Beheshti University of Medical Sciences, Modarres Hospital, Tehran, Iran (GRID:grid.411600.2) 
 University Medical Centre Utrecht, Department of Cardiology, Utrecht, The Netherlands (GRID:grid.7692.a) (ISNI:0000 0000 9012 6352) 
 University of Tsukuba, Cardiovascular Division, Faculty of Medicine, Tsukuba, Japan (GRID:grid.20515.33) (ISNI:0000 0001 2369 4728) 
10  Odense University Hospital, Department of Cardiology, Odense, Denmark (GRID:grid.7143.1) (ISNI:0000 0004 0512 5013) 
11  Glasgow Royal Infirmary and Stobhill Hospital, Glasgow, UK (GRID:grid.411714.6) (ISNI:0000 0000 9825 7840) 
12  Turku University Hospital and University of Turku, Turku, Finland (GRID:grid.410552.7) (ISNI:0000 0004 0628 215X) 
13  Tel-Aviv University, Department of Cardiovascular Imaging, Department of Cardiology, Rabin Medical Center, Sackler Faculty of Medicine, Tel-Aviv, Israel (GRID:grid.12136.37) (ISNI:0000 0004 1937 0546) 
14  Ostfold Hospital Trust, Department of Cardiology, Grålum, Norway (GRID:grid.412938.5) (ISNI:0000 0004 0627 3923) 
15  National Institute of Cardiology and Cardiovascular Surgery, Department of Cardiology, Havana, Cuba (GRID:grid.412938.5) 
16  Jung Stilling Hospital Siegen, Department of Cardiology and Electrophysiology, Siegen, Germany (GRID:grid.491771.d) 
17  Chang Gung Memorial Hospital at Linkou, Medical Imaging and Radiological Sciences, College of Medicine, Chang Gung University, Taoyaun City, Taiwan (GRID:grid.454210.6) (ISNI:0000 0004 1756 1461) 
18  Herzzentrum Bremen, Kardiologisch-Angiologische Praxis, Bremen, Germany (GRID:grid.454210.6) 
19  Kantonsspital St Gallen, Department of Radiology, St Gallen, Switzerland (GRID:grid.413349.8) (ISNI:0000 0001 2294 4705) 
20  University of Rome Tor Vergata, Department of Internal Medicine, Rome, Italy (GRID:grid.6530.0) (ISNI:0000 0001 2300 0941) 
21  Centre Chirurgical Marie Lannelongue, Department of Cardiology, Le Plessis Robinson, France (GRID:grid.417823.b) (ISNI:0000 0001 0266 7990) 
22  Université de Montréal, Montreal Heart Institute, Montréal, Canada (GRID:grid.14848.31) (ISNI:0000 0001 2292 3357) 
23  Charité—Universitätsmedizin Berlin, Department of Radiology, Berlin, Germany (GRID:grid.6363.0) (ISNI:0000 0001 2218 4662); Berlin Institute of Health, Berlin, Germany (GRID:grid.484013.a) (ISNI:0000 0004 6879 971X); Partner Site Berlin, DZHK (German Centre for Cardiovascular Research), Berlin, Germany (GRID:grid.452396.f) (ISNI:0000 0004 5937 5237) 
Pages
208
Publication year
2024
Publication date
Dec 2024
Publisher
Springer Nature B.V.
e-ISSN
18694101
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3092968693
Copyright
© The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.