Trans-lesional fractional flow reserve gradient as derived from coronary CT improves patient management: ADVANCE registry.

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Version: Final published version
License: CC BY 4.0
Serval ID
serval:BIB_AE242FE7DC61
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Trans-lesional fractional flow reserve gradient as derived from coronary CT improves patient management: ADVANCE registry.
Journal
Journal of cardiovascular computed tomography
Author(s)
Takagi H., Leipsic J.A., McNamara N., Martin I., Fairbairn T.A., Akasaka T., Nørgaard B.L., Berman D.S., Chinnaiyan K., Hurwitz-Koweek L.M., Pontone G., Kawasaki T., Rønnow Sand N.P., Jensen J.M., Amano T., Poon M., Øvrehus K.A., Sonck J., Rabbat M.G., Mullen S., De Bruyne B., Rogers C., Matsuo H., Bax J.J., Douglas P.S., Patel M.R., Nieman K., Ihdayhid A.R.
ISSN
1876-861X (Electronic)
ISSN-L
1876-861X
Publication state
Published
Issued date
2022
Peer-reviewed
Oui
Volume
16
Number
1
Pages
19-26
Language
english
Notes
Publication types: Journal Article ; Multicenter Study
Publication Status: ppublish
Abstract
The role of change in fractional flow reserve derived from CT (FFR <sub>CT</sub> ) across coronary stenoses (ΔFFR <sub>CT</sub> ) in guiding downstream testing in patients with stable coronary artery disease (CAD) is unknown.
To investigate the incremental value of ΔFFR <sub>CT</sub> in predicting early revascularization and improving efficiency of catheter laboratory utilization.
Patients with CAD on coronary CT angiography (CCTA) were enrolled in an international multicenter registry. Stenosis severity was assessed as per CAD-Reporting and Data System (CAD-RADS), and lesion-specific FFR <sub>CT</sub> was measured 2 ​cm distal to stenosis. ΔFFR <sub>CT</sub> was manually measured as the difference of FFR <sub>CT</sub> across visible stenosis.
Of 4730 patients (66 ​± ​10 years; 34% female), 42.7% underwent ICA and 24.7% underwent early revascularization. ΔFFR <sub>CT</sub> remained an independent predictor for early revascularization (odds ratio per 0.05 increase [95% confidence interval], 1.31 [1.26-1.35]; p ​< ​0.001) after adjusting for risk factors, stenosis features, and lesion-specific FFR <sub>CT</sub> . Among the 3 models (model 1: risk factors ​+ ​stenosis type and location ​+ ​CAD-RADS; model 2: model 1 ​+ ​FFR <sub>CT</sub> ; model 3: model 2 ​+ ​ΔFFR <sub>CT</sub> ), model 3 improved discrimination compared to model 2 (area under the curve, 0.87 [0.86-0.88] vs 0.85 [0.84-0.86]; p ​< ​0.001), with the greatest incremental value for FFR <sub>CT</sub> 0.71-0.80. ΔFFR <sub>CT</sub> of 0.13 was the optimal cut-off as determined by the Youden index. In patients with CAD-RADS ≥3 and lesion-specific FFR <sub>CT</sub> ≤0.8, a diagnostic strategy incorporating ΔFFR <sub>CT</sub> >0.13, would potentially reduce ICA by 32.2% (1638-1110, p ​< ​0.001) and improve the revascularization to ICA ratio from 65.2% to 73.1%.
ΔFFR <sub>CT</sub> improves the discrimination of patients who underwent early revascularization compared to a standard diagnostic strategy of CCTA with FFR <sub>CT</sub> , particularly for those with FFR <sub>CT</sub> 0.71-0.80. ΔFFR <sub>CT</sub> has the potential to aid decision-making for ICA referral and improve efficiency of catheter laboratory utilization.
Keywords
Computed Tomography Angiography, Coronary Angiography, Coronary Artery Disease/diagnostic imaging, Coronary Artery Disease/therapy, Coronary Stenosis/diagnostic imaging, Coronary Stenosis/therapy, Coronary Vessels/diagnostic imaging, Female, Fractional Flow Reserve, Myocardial, Humans, Male, Predictive Value of Tests, Registries, Severity of Illness Index, Tomography, X-Ray Computed, Coronary artery disease (CAD), Coronary computed tomography angiography (CCTA), Fractional flow reserve (FFR), Fractional flow reserve derived from coronary computed tomography (FFR(CT))
Pubmed
Web of science
Open Access
Yes
Create date
21/09/2021 11:37
Last modification date
16/04/2024 7:21
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