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SHR Neuro Cancer Cardio Lipid Metab Microb

Hamaya, R; Goto, S; Hwang, D; Zhang, JL; Yang, S; Lee, JM; Hoshino, M; Nam, CW; Shin, ES; Doh, JH; Chen, SL; Toth, GG; Piroth, Z; Hakeem, A; Uretsky, BF; Hokama, Y; Tanaka, N; Lim, HS; Ito, T; Matsuo, A; Azzalini, L; Leesar, MA; Collet, C; Koo, BK; De Bruyne, B; Kakuta, T.
Machine-learning-based prediction of fractional flow reserve after percutaneous coronary intervention
ATHEROSCLEROSIS. 2023; 383: 117310 Doi: 10.1016/j.atherosclerosis.2023.117310
Web of Science PubMed FullText FullText_MUG

Co-authors Med Uni Graz: Toth-Gayor Gabor
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Abstract:: Background and aims: Post-percutaneous coronary intervention (PCI) fractional flow reserve (FFR) reflects residual atherosclerotic burden and is associated with future events. How much post-PCI FFR can be predicted based on baseline basic information and the clinical relevance have not been investigated.Methods: We compiled a multicenter registry of patients undergoing pre- and post-PCI FFR. Machine-learning (ML) algorithms were designed to predict post-PCI FFR levels from baseline demographics, quantitative coronary angiography, and pre-PCI FFR. FFR deviation was defined as actual minus ML-predicted post-PCI FFR levels, and its association with incident target vessel failure (TVF) was evaluated. Results: Median (IQR) pre- and post-PCI FFR values were 0.71 (0.61, 0.77) and 0.88 (0.84, 0.93), respectively. The Spearman correlation coefficient of the actual and predicted post-PCI FFR was 0.54 (95% CI: 0.52, 0.57). FFR deviation was non-linearly associated with incident TVF (HR [95% CI] with Q3 as reference: 1.65 [1.14, 2.39] in Q1, 1.42 [0.98, 2.08] in Q2, 0.81 [0.53, 1.26] in Q4, and 1.04 [0.69, 1.56] in Q5). A model with polynomial function of continuous FFR deviation indicated increasing TVF risk for FFR deviation <= 0 but plateau risk with FFR deviation >0. Conclusions: An ML-based algorithm using baseline data moderately predicted post-PCI FFR. The deviation of post-PCI FFR from the predicted value was associated with higher vessel-oriented event.
Find related publications in this database (Keywords): Fractional flow reserve; Percutaneous coronary intervention; Machine-learning