Jeroen Sonck1,2, Carlos Collet1, Takuya Mizukami1,3,4, Bert Vandeloo3, Jean F Argacha3, Emanuele Barbato1,2, Daniele Andreini5,6, Antonio Bartorelli5,7, Bernard Cosyns3, Bernard De Bruyne1. 1. Cardiovascular Center Aalst, OLV Clinic, Aalst, Belgium. 2. Department of Advanced Biomedical Sciences, Federico II University of Naples, Naples, Italy. 3. Centrum Voor Hart en Vaatziekten, Vrije Universiteit Brussel, Belgium. 4. Department of Cardiology, Showa University Fujigaoka Hospital, Kanagawa, Japan. 5. Centro Cardiologico Monzino, IRCCS, Milan, Italy. 6. Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy. 7. Department of Biomedical and Clinical Sciences "Luigi Sacco", University of Milan, Milan, Italy.
Abstract
OBJECTIVES: The present study aimed at determining the accuracy and reproducibility of motorized FFR pullbacks in patients with stable coronary artery disease. BACKGROUND: Fractional flow reserve (FFR) is recommended for decision making regarding myocardial revascularization. The distribution of epicardial resistance along coronary vessels can be assessed using FFR pullbacks. METHODS: Duplicated FFR pullbacks were acquired using a motorized device at a speed of 1 mm/s in intermediate coronary stenosis. In addition, a single FFR value was measured at an anatomical landmark. The agreement between FFR measurements was assessed using the Bland-Altman method, Pearson's correlation coefficient and area under the pullback curve (AUPC). RESULTS: In 20 vessels, 37,326 FFR values were obtained. The mean FFR from the pullbacks was 0.91 ± 0.08 whereas the mean FFR at the distal location was 0.85 ± 0.09. The mean difference between pullbacks was -0.002 (LOA -0.058 to 0.054). The difference in AUPC between the two FFR pullbacks was 2.1 ± 1.6%. At pre-specified anatomical locations, the mean difference between the FFR derived from the pullback data and the measured FFR was 0 (LOA -0.040 to 0.039). The repeatability of the distal FFR measurement was high (bias -0.003, LOA -0.046 to 0.041). CONCLUSION: A motorized FFR pullback was accurate to assess the distribution of epicardial resistance in patients with intermediate coronary artery disease. The reproducibility of the FFR pullback was high. Further studies are required to determine the potential usefulness of a hyperemic FFR pullback strategy for decision making and treatment planning.
OBJECTIVES: The present study aimed at determining the accuracy and reproducibility of motorized FFR pullbacks in patients with stable coronary artery disease. BACKGROUND: Fractional flow reserve (FFR) is recommended for decision making regarding myocardial revascularization. The distribution of epicardial resistance along coronary vessels can be assessed using FFR pullbacks. METHODS: Duplicated FFR pullbacks were acquired using a motorized device at a speed of 1 mm/s in intermediate coronary stenosis. In addition, a single FFR value was measured at an anatomical landmark. The agreement between FFR measurements was assessed using the Bland-Altman method, Pearson's correlation coefficient and area under the pullback curve (AUPC). RESULTS: In 20 vessels, 37,326 FFR values were obtained. The mean FFR from the pullbacks was 0.91 ± 0.08 whereas the mean FFR at the distal location was 0.85 ± 0.09. The mean difference between pullbacks was -0.002 (LOA -0.058 to 0.054). The difference in AUPC between the two FFR pullbacks was 2.1 ± 1.6%. At pre-specified anatomical locations, the mean difference between the FFR derived from the pullback data and the measured FFR was 0 (LOA -0.040 to 0.039). The repeatability of the distal FFR measurement was high (bias -0.003, LOA -0.046 to 0.041). CONCLUSION: A motorized FFR pullback was accurate to assess the distribution of epicardial resistance in patients with intermediate coronary artery disease. The reproducibility of the FFR pullback was high. Further studies are required to determine the potential usefulness of a hyperemic FFR pullback strategy for decision making and treatment planning.
Authors: Sakura Nagumo; Carlos Collet; Bjarne L Norgaard; Hiromasa Otake; Brian Ko; Bon-Kwon Koo; Jonathon Leipsic; Daniele Andreini; Ward Heggermont; Jesper M Jensen; Yu Takahashi; Abdul Ihdayhid; Zinlong Zhang; Emanuele Barbato; Michael Maeng; Takuya Mizukami; Jozef Bartunek; Adam Updegrove; Martin Penicka; Campbell Rogers; Charles Taylor; Bernard De Bruyne; Jeroen Sonck Journal: Clin Cardiol Date: 2021-03-03 Impact factor: 2.882