Abstract
Background
Coronary computed tomography angiography (CCTA) is widely used in the diagnostic work-up of patients with stable chest pain. CCTA has an excellent negative predictive value, but a moderate positive predictive value for detecting coronary stenosis. Computed tomography-derived fractional flow reserve (FFRct) is a non-invasive, well-validated technique that provides functional assessment of coronary stenosis, improving the positive predictive value of CCTA. However, to determine the value of FFRct in routine clinical practice, a pragmatic randomised, controlled trial (RCT) is required. We will conduct an RCT to investigate the impact of adding FFRct analysis in the diagnostic pathway of patients with a coronary stenosis on CCTA on the rate of unnecessary invasive coronary angiography, cost-effectiveness, quality of life and clinical outcome.
Methods
The FUSION trial is a prospective, multicentre RCT that will randomise 528 patients with stable chest pain and anatomical stenosis of ≥ 50% but < 90% in at least one coronary artery of ≥ 2 mm on CCTA, to FFRct-guided care or usual care in a 1:1 ratio. Follow-up will be 1 year. The primary endpoint is the rate of unnecessary invasive coronary angiography within 90 days.
Conclusion
The FUSION trial will evaluate the use of FFRct in stable chest pain patients from the Dutch perspective. The trial is funded by the Dutch National Health Care Institute as part of the research programme ‘Potentially Promising Care’ and the results will be used to assess if FFRct reimbursement should be included in the standard health care package.
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Details
1 University Medical Centre Rotterdam, Department of Cardiology, Erasmus Medical Centre, Rotterdam, The Netherlands (GRID:grid.5645.2) (ISNI:000000040459992X); University Medical Centre Rotterdam, Department of Radiology and Nuclear Medicine, Erasmus Medical Centre, Rotterdam, The Netherlands (GRID:grid.5645.2) (ISNI:000000040459992X)
2 University Medical Centre Rotterdam, Department of Radiology and Nuclear Medicine, Erasmus Medical Centre, Rotterdam, The Netherlands (GRID:grid.5645.2) (ISNI:000000040459992X); University Medical Centre Rotterdam, Department of Epidemiology and Biostatistics, Erasmus Medical Centre, Rotterdam, The Netherlands (GRID:grid.5645.2) (ISNI:000000040459992X); Harvard T.H. Chan School of Public Health, Centre for Health Decision Sciences, Boston, USA (GRID:grid.38142.3c) (ISNI:000000041936754X)
3 University Medical Center Utrecht, Department of Cardiology, Utrecht, The Netherlands (GRID:grid.7692.a) (ISNI:0000000090126352)
4 University Medical Center Utrecht, Department of Radiology, Utrecht, The Netherlands (GRID:grid.7692.a) (ISNI:0000000090126352)
5 Martini Hospital Groningen, Department of Cardiology, Groningen, The Netherlands (GRID:grid.416468.9) (ISNI:0000 0004 0631 9063)
6 Martini Hospital Groningen, Department of Radiology, Groningen, The Netherlands (GRID:grid.416468.9) (ISNI:0000 0004 0631 9063)
7 Gelre Hospital, Department of Radiology, Apeldoorn, The Netherlands (GRID:grid.415355.3) (ISNI:0000 0004 0370 4214)
8 Gelre Hospital, Department of Cardiology, Apeldoorn, The Netherlands (GRID:grid.415355.3) (ISNI:0000 0004 0370 4214)
9 St Jansdal Hospital, Department of Cardiology, Harderwijk, The Netherlands (GRID:grid.415355.3)
10 Adrz Hospital, Department of Radiology, Goes, The Netherlands (GRID:grid.415355.3)
11 Adrz Hospital, Department of Cardiology, Goes, The Netherlands (GRID:grid.415355.3)
12 University Medical Centre Groningen, Department of Cardiology, Groningen, The Netherlands (GRID:grid.4494.d) (ISNI:0000 0000 9558 4598)
13 University Medical Centre Groningen, Department of Radiology, Groningen, The Netherlands (GRID:grid.4494.d) (ISNI:0000 0000 9558 4598)





