계명대학교 의학도서관 Repository

Machine-learning-based prediction of fractional flow reserve after percutaneous coronary intervention

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Author(s)
Rikuta HamayaShinichi GotoDoyeon HwangJinlong ZhangSeokhun YangJoo Myung LeeMasahiro HoshinoChang-Wook NamEun-Seok ShinJoon-Hyung DohShao-Liang ChenGabor G TothZsolt PirothAbdul HakeemBarry F UretskyYohei HokamaNobuhiro TanakaHong-Seok LimTsuyoshi ItoAkiko MatsuoLorenzo AzzaliniMassoud A LeesarCarlos ColletBon-Kwon KooBernard De BruyneTsunekazu Kakuta
Keimyung Author(s)
Nam, Chang Wook
Department
Dept. of Internal Medicine (내과학)
Journal Title
Atherosclerosis
Issued Date
2023
Volume
383
Keyword
Fractional flow reserveMachine-learningPercutaneous coronary intervention
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.
Keimyung Author(s)(Kor)
남창욱
Publisher
School of Medicine (의과대학)
Type
Article
ISSN
1879-1484
Source
https://www.clinicalkey.com/#!/content/playContent/1-s2.0-S0021915023052310
DOI
10.1016/j.atherosclerosis.2023.117310
URI
https://kumel.medlib.dsmc.or.kr/handle/2015.oak/45175
Appears in Collections:
1. School of Medicine (의과대학) > Dept. of Internal Medicine (내과학)
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