AIMS: To evaluate the classification agreement between instantaneous wave-free ratio (iFR) and fractional flow reserve (FFR) in patients with angiographic intermediate coronary stenoses. METHODS AND RESULTS: Three hundred and twelve patients (339 stenoses) with angiographically intermediate stenoses were included in this international clinical registry. The iFR was calculated using fully automated algorithms. The receiver operating characteristic (ROC) curve was used to identify the iFR optimal cut-point corresponding to FFR 0.8. The classification agreement of coronary stenoses as significant or non-significant was established between iFR and FFR and between repeated FFR measurements for each 0.05 quantile of FFR values, from 0.2 to 1. Close agreement was observed between iFR and FFR (area under ROC curve= 86%). The optimal iFR cut-off (for an FFR of 0.80) was 0.89. After adjustment for the intrinsic variability of FFR, the classification agreement (accuracy) between iFR and FFR was 94%. Amongst the stenoses classified as non-significant by iFR (>0.89) and as significant by FFR (≤0.8), 81% had associated FFR values located within the FFR "grey-zone" (0.75-0.8) and 41% within the 0.79-0.80 FFR range. CONCLUSIONS: In a population of intermediate coronary stenoses, the classification agreement between iFR and FFR is excellent and similar to that of repeated FFR measurements in the same sample. Vasodilator-independent assessment of intermediate stenosis seems applicable and may foster adoption of coronary physiology in the catheterisation laboratory.
AIMS: To evaluate the classification agreement between instantaneous wave-free ratio (iFR) and fractional flow reserve (FFR) in patients with angiographic intermediate coronary stenoses. METHODS AND RESULTS: Three hundred and twelve patients (339 stenoses) with angiographically intermediate stenoses were included in this international clinical registry. The iFR was calculated using fully automated algorithms. The receiver operating characteristic (ROC) curve was used to identify the iFR optimal cut-point corresponding to FFR 0.8. The classification agreement of coronary stenoses as significant or non-significant was established between iFR and FFR and between repeated FFR measurements for each 0.05 quantile of FFR values, from 0.2 to 1. Close agreement was observed between iFR and FFR (area under ROC curve= 86%). The optimal iFR cut-off (for an FFR of 0.80) was 0.89. After adjustment for the intrinsic variability of FFR, the classification agreement (accuracy) between iFR and FFR was 94%. Amongst the stenoses classified as non-significant by iFR (>0.89) and as significant by FFR (≤0.8), 81% had associated FFR values located within the FFR "grey-zone" (0.75-0.8) and 41% within the 0.79-0.80 FFR range. CONCLUSIONS: In a population of intermediate coronary stenoses, the classification agreement between iFR and FFR is excellent and similar to that of repeated FFR measurements in the same sample. Vasodilator-independent assessment of intermediate stenosis seems applicable and may foster adoption of coronary physiology in the catheterisation laboratory.
Authors: Firas Al-Janabi; Grigoris Karamasis; Chritopher M Cook; Alamgir M Kabir; Rohan O Jagathesan; Nicholas M Robinson; Jeremy W Sayer; Rajesh K Aggarwal; Gerald J Clesham; Paul R Kelly; Reto A Gamma; Kare H Tang; Thomas R Keeble; John R Davies Journal: Cardiol J Date: 2019-03-26 Impact factor: 2.737
Authors: Tim P van de Hoef; Martijn A van Lavieren; José P S Henriques; Jan J Piek; Bimmer E P M Claessen Journal: Curr Treat Options Cardiovasc Med Date: 2014-04
Authors: Tobias Härle; Mareike Luz; Sven Meyer; Felix Vahldiek; Pim van der Harst; Randy van Dijk; Daan Ties; Javier Escaned; Justin Davies; Albrecht Elsässer Journal: Clin Res Cardiol Date: 2017-11-02 Impact factor: 5.460
Authors: P Meimoun; J Clerc; D Ardourel; U Djou; S Martis; T Botoro; F Elmkies; H Zemir; A Luycx-Bore; J Boulanger Journal: Int J Cardiovasc Imaging Date: 2016-10-17 Impact factor: 2.357