Rationale and design of the iCORONARY trial: improving the cost-effectiveness of coronary artery disease diagnosis

BACKGROUND

In patients with stable coronary artery disease (CAD), revascularisation decisions are based mainly on the visual grading of the severity of coronary stenosis on invasive coronary angiography (ICA). However, invasive fractional flow reserve (FFR) is the current standard to determine the haemodynamic significance of coronary stenosis. Non-invasive and less-invasive imaging techniques such as computed-tomography-derived FFR (FFR-CT) and angiography-derived FFR (QFR) combine both anatomical and functional information in complex algorithms to calculate FFR.

TRIAL DESIGN

The iCORONARY trial is a prospective, multicentre, non-inferiority randomised controlled trial (RCT) with a blinded endpoint evaluation. It investigates the costs, effects and outcomes of different diagnostic strategies to evaluate the presence of CAD and the need for revascularisation in patients with stable angina pectoris who undergo coronary computed tomography angiography. Those with a Coronary Artery Disease-Reporting and Data System (CAD-RADS) score between 0-2 and 5 will be included in a prospective registry, whereas patients with CAD-RADS 3 or 4A will be enrolled in the RCT. The RCT consists of three randomised groups: (1) FFR-CT-guided strategy, (2) QFR-guided strategy or (3) standard of care including ICA and invasive pressure measurements for all intermediate stenoses. The primary endpoint will be the occurrence of major adverse cardiac events (death, myocardial infarction and repeat revascularisation) at 1 year.

CLINICALTRIALS

gov-identifier: NCT04939207.

CONCLUSION

The iCORONARY trial will assess whether a strategy of FFR-CT or QFR is non-inferior to invasive angiography to guide the need for revascularisation in patients with stable CAD. Non-inferiority to the standard of care implies that these techniques are attractive, less-invasive alternatives to current diagnostic pathways.

Diagnostic performance of coronary CTA and CT-FFR for the detection of coronary artery disease in routine TAVI work-up

Objectives

To assess the diagnostic performance of CT-FFR for the diagnosis of CAD in the work-up for TAVI.

Background

Work-up for transcatheter aortic valve implantation (TAVI) currently utilizes computed tomography (CT) to evaluate annulus diameter and peripheral vascular access, plus invasive coronary angiography (ICA) to assess significant coronary artery disease (CAD). ICA might partially be redundant with the use of Coronary CT Angiography (CCTA). Prior studies found improvement of the diagnostic accuracy of CCTA by use of CT derived fractional flow reserve (CT-FFR).

Methods

Consecutive patients with severe symptomatic aortic valve stenosis who underwent TAVI work-up between 2015–2019 were included in this cross-sectional study. All patients underwent CCTA and ICA within 3 months and diagnostic performance of both CCTA and CT-FFR were assessed using ICA as reference.

Results

Seventy-six of the 338 patients included in the analysis had ≥1 significant coronary stenosis at ICA. The sensitivity, specificity, positive predictive value, negative predictive value, and diagnostic accuracy per-patient were 76.9%, 64.5%, 34.0%, 92.1% and 66.9% for CCTA and 84.6%, 88.3%, 63.2%, 96.0% and 87.6% for CT-FFR. The area under the receiver-operating characteristic-curve significantly differ between CCTA and CT-FFR (0.84 versus 0.90 p=0.02). A CT-FFR guided approach could avoid ICA in 57.1% versus 43.6% using CCTA.

Conclusions

CT-FFR significantly improves the diagnostic accuracy of CCTA without additional testing and increases the proportion of patients in whom ICA could have been safely avoided It has the potential to be integrated in the current clinical work-up for TAVI for diagnosing stable CAD requiring treatment.

Funding Acknowledgement

Type of funding sources: None.

Familial dementia caused by polymerization of mutant neuroserpin

Aberrant protein processing with tissue deposition is associated with many common neurodegenerative disorders; however, the complex interplay of genetic and environmental factors has made it difficult to decipher the sequence of events linking protein aggregation with clinical disease. Substantial progress has been made toward understanding the pathophysiology of prototypical conformational diseases and protein polymerization in the superfamily of serine proteinase inhibitors (serpins). Here we describe a new disease, familial encephalopathy with neuroserpin inclusion bodies, characterized clinically as an autosomal dominantly inherited dementia, histologically by unique neuronal inclusion bodies and biochemically by polymers of the neuron-specific serpin, neuroserpin. We report the cosegregation of point mutations in the neuroserpin gene (PI12) with the disease in two families. The significance of one mutation, S49P, is evident from its homology to a previously described serpin mutations, whereas that of the other, S52R, is predicted by modelling of the serpin template. Our findings provide a molecular mechanism for a familial dementia and imply that inhibitors of protein polymerization may be effective therapies for this disorder and perhaps for other more common neurodegenerative diseases.