Abstract 9699: Phenotypic Features of Coronary Atheroma Associated With Coronary Physiological Mismatch: Insights From Fractional Flow Reserve and Near-Infrared Spectroscopy Findings

Abstract only Introduction: FFR and resting indexes (RI) have been recognized as physiological measures to assess myocardial ischemia. Despite their clinical applicability, discrepancy between two measures infrequently occurs. Mechanistically, inducement of hyperemia is a determinant of FFR but not...

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Published inCirculation (New York, N.Y.) Vol. 146; no. Suppl_1
Main Authors Murai, Kota, Kataoka, Yu, Iwai, Takamasa, Sawada, Kenichiro, Matama, Hideo, Miura, Hiroyuki, Honda, Satoshi, Fujino, Masashi, Yoneda, Shuichi, Takagi, Kensuke, Otsuka, Fumiyuki, Asaumi, Yasuhide, Tsujita, Kenichi, Noguchi, Teruo
Format Journal Article
LanguageEnglish
Published 08.11.2022
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Summary:Abstract only Introduction: FFR and resting indexes (RI) have been recognized as physiological measures to assess myocardial ischemia. Despite their clinical applicability, discrepancy between two measures infrequently occurs. Mechanistically, inducement of hyperemia is a determinant of FFR but not RI. Since lipidic plaque material could be accumulated through endothelial dysfunction, this plaque phenotype may affect vessel response, contributing to physiological mismatch. Near-infrared spectroscopy (NIRS) enables us to evaluate lipidic burden in vivo. Methods: We analyzed 122 target lesions with FFR≤0.80 in 116 stable CAD subjects receiving PCI. Physiological mismatch was defined as FFR≤0.75 and RI>0.89. Physiological indices [RI, FFR and delta-FFR (=resting Pd/Pa-FFR)] and NIRS/IVUS-derived plaque measures were compared in target lesions stratified according to FFR (≤ or >0.75) and RI (≤ or >0.89) values. Results: The averaged FFR, RI and delta-FFR values were 0.73±0.06, 0.86±0.08 and 0.17±0.05, respectively. Physiological mismatch was observed in 10.7% of analyzed lesions. While there was no significant difference in % diameter stenosis across 4 groups (p=0.36), physiological mismatch was associated with a larger % plaque area (max%PA) (p=0.02). Furthermore, greater maximum 4-mm lipid core burden index (maxLCBI 4mm ) was observed in those exhibiting physiological mismatch (Figure). On multivariate analysis, maxLCBI 4mm but not max%PA predicted physiological mismatch (Table). Further analysis demonstrated that lesions causing physiological mismatch more likely exhibited a larger delta-FFR (p<0.01). Of note, delta-FFR was correlated with maxLCBI 4mm (p=0.03, R=0.20) but not max%PA (p=0.09, R=0.15). Conclusions: Lipidic plaque material was a potential contributor to physiological mismatch, driven by its enhanced hyperemic response. Our findings suggest the potential association of lipidic materials with vasomotion and physiological mismatch.
ISSN:0009-7322
1524-4539
DOI:10.1161/circ.146.suppl_1.9699