Abnormal Fractional Flow Reserve and Non-hyperaemic Pressure Ratios in Patients With Severe Aortic Stenosis and Non-obstructive Coronary Artery Disease

2021 ◽  
Vol 30 ◽  
pp. S293
Author(s):  
J. Chan ◽  
A. Comella ◽  
R. Liu ◽  
A. Chu ◽  
M. Michail ◽  
...  
2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
P Kleczynski ◽  
A Dziewierz ◽  
L Rzeszutko ◽  
D Dudek ◽  
J Legutko

Abstract Background The functional assessment of coronary artery disease (CAD) in patients with severe aortic stenosis (AS) has been barely examined so far, and the best strategy to physiologically investigate the relevance of coronary stenosis in this specific setting of patients remains undetermined. The aim of the study is to compare the diagnostic performance of instantaneous wave-free ratio (iFR), quantitative flow ratio (QFR) and fractional flow reserve (FFR) in patients with severe AS. Methods The functional significance of 416 coronary lesions was investigated with iFR, FFR and QFR measurements in 221 AS patients. The iFR-FFR and QFR-FFR diagnostic agreement has been tested using the conventional 0.80 FFR cut-off. Results Mean value of FFR was 0.85±0.07; iFR – 0.90±0.04; QFR – 0.84±0.07. The correlation between iFR and FFR was good (r=0.83, p<0.001) and QFR and FFR was goot too (r=0.77, p<0.001), as well as the area under the curve at ROC curve analysis 0,995 (0,983 to 0,999, p<0.001) for iFR and 0,988 (0,972 to 0,996, p<0.001) for QFR. However, using the standard iFR 0.89 and QFR 0.8 threshold, the diagnostic accuracy of iFR was 100% sensitivity and 90.26% specificity and for QFR – 100% and 92.21%, respectively. According to ROC analysis, the best iFR cut-off in predicting FFR ≤0.8 was 0.88 (J=0.94), the best QFR cut-off value was 0.80 (J=0.92). Conclusions In the presence of severe AS, iFR and QFR had good agreement with FFR values for assessment of borderline coronary lesions. However, iFR threshold for predicting FFR below 0.8 may be different from a standard value of 0.89. Funding Acknowledgement Type of funding source: Public grant(s) – National budget only. Main funding source(s): National Science Centre


2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
U Gianni ◽  
I.J Van Den Hoogen ◽  
A.R Van Rosendael ◽  
A.M Bax ◽  
S.W Tantawy ◽  
...  

Abstract Background Mismatches between the severity of coronary stenosis and the presence of ischemia by invasive fractional flow reserve (FFR) are frequently reported. Purpose To investigate whether plaque characteristics as evaluated with coronary computed tomography angiography (CCTA) may explain this discordance in nonobstructive versus obstructive coronary artery disease (CAD). Methods From the CREDENCE trial, 612 patients with suspected CAD at 13 sites (64±10 years, 70% men) underwent CCTA with semi-automated whole heart quantification and invasive coronary angiography with 3-vessel FFR measurements. Obstructive CAD was visually defined as ≥50% stenosis. The primary endpoint of coronary vessel-specific ischemia was defined as FFR ≤0.80. Generalized estimating equations were calculated to evaluate the effect of plaque characteristics on coronary vessel-specific ischemia. Interactions were tested by obstructive CAD, adjusted for age. Results Among 1,686 vessels, ischemia was present in 436 (26%) vessels. In both nonobstructive and obstructive CAD, the majority of plaque characteristics were associated with coronary vessel-specific ischemia (p≤0.005, Figure 1). In nonobstructive CAD, odds for ischemia were significantly higher for total percent atheroma volume (PAV, p<0.001), calcified PAV (p<0.001), noncalcified PAV <350 and <130 HU (p≤0.043), the number of lesions at a bifurcation (p=0.009) and the number of lesions with high-risk plaque (HRP, p=0.033) when compared with obstructive CAD. Conclusion Our findings reveal that ischemia by FFR is documented in the setting of both nonobstructive and obstructive CAD on CCTA. Detection of atherosclerotic plaque characteristics associated with ischemia can potentially improve diagnostic certainty and guide management of symptomatic patients with nonobstructive CAD. Figure 1. Odds ratios for ischemia. Funding Acknowledgement Type of funding source: Public grant(s) – National budget only. Main funding source(s): National Institutes of Health - National Heart, Lung, and Blood Institute


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