Skip to main content

Advertisement

Log in

Computed tomography versus invasive coronary angiography: design and methods of the pragmatic randomised multicentre DISCHARGE trial

  • Computed Tomography
  • Published:
European Radiology Aims and scope Submit manuscript

Abstract

Objectives

More than 3.5 million invasive coronary angiographies (ICA) are performed in Europe annually. Approximately 2 million of these invasive procedures might be reduced by noninvasive tests because no coronary intervention is performed. Computed tomography (CT) is the most accurate noninvasive test for detection and exclusion of coronary artery disease (CAD). To investigate the comparative effectiveness of CT and ICA, we designed the European pragmatic multicentre DISCHARGE trial funded by the 7th Framework Programme of the European Union (EC-GA 603266).

Methods

In this trial, patients with a low-to-intermediate pretest probability (10–60 %) of suspected CAD and a clinical indication for ICA because of stable chest pain will be randomised in a 1-to-1 ratio to CT or ICA. CT and ICA findings guide subsequent management decisions by the local heart teams according to current evidence and European guidelines.

Results

Major adverse cardiovascular events (MACE) defined as cardiovascular death, myocardial infarction and stroke as a composite endpoint will be the primary outcome measure. Secondary and other outcomes include cost-effectiveness, radiation exposure, health-related quality of life (HRQoL), socioeconomic status, lifestyle, adverse events related to CT/ICA, and gender differences.

Conclusions

The DISCHARGE trial will assess the comparative effectiveness of CT and ICA.

Key Points

Coronary artery disease (CAD) is a major cause of morbidity and mortality.

Invasive coronary angiography (ICA) is the reference standard for detection of CAD.

Noninvasive computed tomography angiography excludes CAD with high sensitivity.

CT may effectively reduce the approximately 2 million negative ICAs in Europe.

DISCHARGE addresses this hypothesis in patients with low-to-intermediate pretest probability for CAD.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  1. WHO (2008) The global burden of disease. WHO, Geneva

    Google Scholar 

  2. Moschovitis A, Cook S, Meier B (2010) Percutaneous coronary interventions in Europe in 2006. EuroIntervention 6:189–194

    Article  PubMed  Google Scholar 

  3. Patel MR, Peterson ED, Dai D et al (2010) Low diagnostic yield of elective coronary angiography. N Engl J Med 362:886–895

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  4. Noto TJ Jr, Johnson LW, Krone R et al (1991) Cardiac catheterization 1990: a report of the registry of the Society for Cardiac Angiography and Interventions (SCA&I). Catheter Cardiovasc Diagn 24:75–83

    Article  Google Scholar 

  5. Scanlon PJ, Faxon DP, Audet AM et al (1999) ACC/AHA guidelines for coronary angiography. A report of the American College of Cardiology/American Heart Association Task Force on practice guidelines (Committee on Coronary Angiography). Developed in collaboration with the Society for Cardiac Angiography and Interventions. J Am Coll Cardiol 33:1756–1824

    Article  CAS  PubMed  Google Scholar 

  6. Schuetz GM, Zacharopoulou NM, Schlattmann P, Dewey M (2010) Meta-analysis: noninvasive coronary angiography using computed tomography versus magnetic resonance imaging. Ann Intern Med 152:167–177

    Article  PubMed  Google Scholar 

  7. von Ballmoos MW, Haring B, Juillerat P, Alkadhi H (2011) Meta-analysis: diagnostic performance of low-radiation-dose coronary computed tomography angiography. Ann Intern Med 154:413–420

    Article  Google Scholar 

  8. Montalescot G, Sechtem U, Achenbach S et al (2013) 2013 ESC guidelines on the management of stable coronary artery disease: the Task Force on the management of stable coronary artery disease of the European Society of Cardiology. Eur Heart J 34:2949–3003

    Article  PubMed  Google Scholar 

  9. Genders TS, Ferket BS, Dedic A et al (2012) Coronary computed tomography versus exercise testing in patients with stable chest pain: comparative effectiveness and costs. Int J Cardiol. doi:10.1016/j.ijcard.2012.03.151,

  10. Dewey M, Hamm B (2007) Cost effectiveness of coronary angiography and calcium scoring using CT and stress MRI for diagnosis of coronary artery disease. Eur Radiol 17:1301–1309

    Article  PubMed  Google Scholar 

  11. Schlattmann P, Schuetz GM, Dewey M (2011) Influence of coronary artery disease prevalence on predictive values of coronary CT angiography: a meta-regression analysis. Eur Radiol 21:1904–1913

    Article  PubMed  Google Scholar 

  12. Fox K, Garcia MA, Ardissino D et al (2006) Guidelines on the management of stable angina pectoris: executive summary: The Task Force on the Management of Stable Angina Pectoris of the European Society of Cardiology. Eur Heart J 27:1341–1381

    Article  PubMed  Google Scholar 

  13. Douglas PS, Hoffmann U, Patel MR et al (2015) Outcomes of anatomical versus functional testing for coronary artery disease. N Engl J Med 372:1291–1300

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  14. The SCOT-HEART Investigators (2015) CT coronary angiography in patients with suspected angina due to coronary heart disease (SCOT-HEART): an open-label, parallel-group, multicentre trial. Lancet 385:2383–2391

    Article  Google Scholar 

  15. Chan AW, Tetzlaff JM, Gotzsche PC et al (2013) SPIRIT 2013 explanation and elaboration: guidance for protocols of clinical trials. BMJ 346:e7586

    Article  PubMed Central  PubMed  Google Scholar 

  16. Chan AW, Tetzlaff JM, Altman DG et al (2013) SPIRIT 2013 statement: defining standard protocol items for clinical trials. Ann Intern Med 158:200–207

    Article  PubMed Central  PubMed  Google Scholar 

  17. Lawlor DA, Adamson J, Ebrahim S (2003) Performance of the WHO Rose angina questionnaire in post-menopausal women: are all of the questions necessary? J Epidemiol Community Health 57:538–541

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  18. Perk J, De Backer G, Gohlke H et al (2012) European guidelines on cardiovascular disease prevention in clinical practice (version 2012): The Fifth Joint Task Force of the European Society of Cardiology and Other Societies on Cardiovascular Disease Prevention in Clinical Practice (constituted by representatives of nine societies and by invited experts). Eur Heart J 33:1635–1701

    Article  CAS  PubMed  Google Scholar 

  19. Tunis SR, Stryer DB, Clancy CM (2003) Practical clinical trials: increasing the value of clinical research for decision making in clinical and health policy. JAMA 290:1624–1632

    Article  CAS  PubMed  Google Scholar 

  20. Mullins CD, Whicher D, Reese ES, Tunis S (2010) Generating evidence for comparative effectiveness research using more pragmatic randomized controlled trials. Pharmacoeconomics 28:969–976

    Article  PubMed  Google Scholar 

  21. Thorpe KE, Zwarenstein M, Oxman AD et al (2009) A pragmatic-explanatory continuum indicator summary (PRECIS): a tool to help trial designers. CMAJ 180:E47–E57

    Article  PubMed Central  PubMed  Google Scholar 

  22. Zimmermann E, Germershausen C, Greupner J et al (2010) Improvement of skills and knowledge by a hands-on cardiac CT course: before and after evaluation with a validated questionnaire and self-assessment. Röfo 182:589–593

    CAS  PubMed  Google Scholar 

  23. Maruish ME (2012) User’s manual for the SF-12v2 health survey, 3rd edn. QualityMetric, Lincoln

    Google Scholar 

  24. EuroQolGroup (1990) EuroQol-a new facility for the measurement of health-related quality of life. Health Policy 16:199–208

    Article  Google Scholar 

  25. Zigmond AS, Snaith RP (1983) The hospital anxiety and depression scale. Acta Psychiatr Scand 67:361–370

    Article  CAS  PubMed  Google Scholar 

  26. Griffin S, Claxton K, Sculpher M (2008) Decision analysis for resource allocation in health care. J Health Serv Res Policy 13:23–30

    Article  PubMed  Google Scholar 

  27. Ramsey SD, Willke RJ, Glick H et al (2015) Cost-effectiveness analysis alongside clinical trials II-An ISPOR Good Research Practices Task Force report. Value Health 18:161–172

    Article  PubMed  Google Scholar 

  28. Schuetz GM, Schlattmann P, Achenbach S et al (2013) Individual patient data meta-analysis for the clinical assessment of coronary computed tomography angiography: protocol of the Collaborative Meta-Analysis of Cardiac CT (CoMe-CCT). Syst Rev 2:13

    Article  PubMed Central  PubMed  Google Scholar 

  29. Kernan WN, Viscoli CM, Makuch RW, Brass LM, Horwitz RI (1999) Stratified randomization for clinical trials. J Clin Epidemiol 52:19–26

    Article  CAS  PubMed  Google Scholar 

  30. Therneau TM, Grambsch P, Pankratz VS (2003) Penalized survival models and frailty. J Comput Graph Stat 12:156–175

    Article  Google Scholar 

  31. Therneau T (2012) coxme: mixed effects Cox models. R package version 2.2-3. http://CRAN.R-project.org/package=coxme

  32. R Development Core Team (2012) R: a language and environment for statistical computing. http://www.R-project.org. R Foundation for Statistical Computing, Vienna, Austria

  33. Schlattmann P (2009) Medical applications of finite mixture models. Springer, Berlin

    Google Scholar 

  34. Schafer JL (1999) Multiple imputation: a primer. Stat Methods Med Res 8:3–15

    Article  CAS  PubMed  Google Scholar 

  35. Keaven Anderson (2012) gsDesign: group sequential design. R package version 2.7-04. http://CRAN.R-project.org/package=gsDesign

  36. Dewey M, Rief M, Martus P et al (2016) Evaluation of computed tomography in patients with atypical angina or chest pain clinically referred for invasive coronary angiography: randomised controlled trial. BMJ 355:i5441

  37. Williams MC, Hunter A, Shah AS et al (2016) Use of coronary computed tomographic angiography to guide management of patients with coronary disease. J Am Coll Cardiol 67:1759–1768

    Article  PubMed Central  PubMed  Google Scholar 

  38. Kip KE, Hollabaugh K, Marroquin OC, Williams DO (2008) The problem with composite end points in cardiovascular studies: the story of major adverse cardiac events and percutaneous coronary intervention. J Am Coll Cardiol 51:701–707

    Article  PubMed  Google Scholar 

  39. The DISCHARGE Trial (2015) www.dischargetrial.eu. Accessed 25 Mar 2015

  40. Chow BJ, Small G, Yam Y et al (2015) Prognostic and therapeutic implications of statin and aspirin therapy in individuals with nonobstructive coronary artery disease: results from the CONFIRM (coronary CT angiography evaluation for clinical outcomes: an international multicenter registry) registry. Arterioscler Thromb Vasc Biol. doi:10.1161/ATVBAHA.114.304351

    PubMed Central  PubMed  Google Scholar 

  41. Dewey M, Zimmermann E, Deissenrieder F et al (2009) Noninvasive coronary angiography by 320-row CT with lower radiation exposure and maintained diagnostic accuracy: comparison of results with cardiac catheterization in a head-to-head pilot investigation. Circulation 120:867–875

    Article  PubMed  Google Scholar 

  42. Pontone G, Andreini D, Bartorelli AL et al (2013) A long-term prognostic value of CT angiography and exercise ECG in patients with suspected CAD. JACC Cardiovasc Imaging 6:641–650

    Article  PubMed  Google Scholar 

  43. Linde JJ, Hove JD, Sorgaard M et al (2015) Long-term clinical impact of coronary CT angiography in patients with recent acute-onset chest pain: the randomized controlled CATCH trial. JACC Cardiovasc Imaging 8:1404–1413

    Article  PubMed  Google Scholar 

  44. Schuetz GM, Schlattmann P, Dewey M (2012) Use of 3x2 tables with an intention to diagnose approach to assess clinical performance of diagnostic tests: meta-analytical evaluation of coronary CT angiography studies. BMJ 345:e6717

    Article  PubMed Central  PubMed  Google Scholar 

Download references

Acknowledgments

The scientific guarantor of this publication is Prof. Marc Dewey, M.D. Ph.D. The authors of this manuscript declare relationships with the following companies, foundations and government or university grants: Abbott, Academy of Finland, Centre of Excellence programs, Actelion, American Thoracic Society, Amgen, AP Møller og hustru Chastine McKinney Møllers Fond, Astra-Zeneca, Athera Biotechnologies AB, B.Braun Medical, Bayer, Bayer-Schering, Berlin Chemie, Beuth Hochschule für Technik Berlin, Biosensors, Biotie Therapies, Biotronik, Boehringer-Ingelheim, Boston Scientific, Bracco, Braun, Cardiac MR Academy Berlin, CardiRad Ltd, Comac-Medical, Cordis, Covance, Directorate-General for Health and Food Safety, Eckert & Ziegler Radiopharma GmbH, Edwards Lifesciences, Endocyte Inc, European Regional Development Fund, European Society of Cardiology, European Union, F.Hoffmann-La Roche, Finnish Foundation for Cardiovascular Research, Fundação para a Ciência e Tecnologia, Portugal, GE Healthcare, Gedeon Richter, German Federal Ministry of Education and Research (BMBF), German Research Foundation (DFG), Guerbet, Guidotti,Intermeetings Padova, Irish Lung Foundation, Jansen-Cilag, Johnson & Johnson, KRKA, Lantheus Inc, Medtronic, Medtronik, Menarini, Merck, Merck Sharp & Dohme, MSD, National Heart, Lung, and Blood Institute (NHLBI), Novartis, Orion Pharma, Pfizer, Pharma Swiss, Philips, Piramal, Portuguese Society of Cardiology, Quintiles, Research Council of Rigshopitalet, Roche, Sandoz, Sanofi Aventis, Schering, Servier, Siemens, Sigma Tau, Southeastern Health and Social Care Trust Innovation Research Development Group Fund, Spanish Society of Cardiology, St. Jude Medical, Stiftung Charité (Berlin Institute of Health), Takeda,TEKES Finland, The Danish Agency for Science Technology and Innovation by The Danish Council for Strategic Research, The Danish Heart Foundation, The John and Birthe Meyer Foundation, The Lundbeck Foundation, Toshiba Medical Systems, Turku University Hospital research funds, VITAL Images Inc., Zealand A/S

This study has received funding by the Seventh Framework Programme of the European Union (EC-GA 603266). Prof. Peter Schlattmann kindly provided statistical advice for this manuscript. Institutional review board approval was obtained. Written informed consent will be obtained from all subjects (patients) for the study. Study subjects or cohorts have not been previously reported in another journal/study. Methodology: prospective/retrospective, randomised controlled trial, multicenter study.

Author information

Authors and Affiliations

Authors

Consortia

Corresponding author

Correspondence to Marc Dewey.

Electronic supplementary material

Below is the link to the electronic supplementary material.

ESM 1

(PDF 1722 kb)

ESM 2

(PDF 120 kb)

ESM 3

(PDF 312 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Napp, A.E., Haase, R., Laule, M. et al. Computed tomography versus invasive coronary angiography: design and methods of the pragmatic randomised multicentre DISCHARGE trial. Eur Radiol 27, 2957–2968 (2017). https://doi.org/10.1007/s00330-016-4620-z

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00330-016-4620-z

Keywords

Navigation