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Preprocedural physiological assessment of coronary disease patterns to predict haemodynamic outcomes post-PCI

  • Nozomi Kotoku
  • , Kai Ninomiya
  • , Shinichiro Masuda
  • , Neil O'Leary
  • , Scot Garg
  • , Mareka Naito
  • , Kotaro Miyashita
  • , Akihiro Tobe
  • , Shigetaka Kageyama
  • , Tsung Ying Tsai
  • , Pruthvi C. Revaiah
  • , Shengxian Tu
  • , Ken Kozuma
  • , Hideyuki Kawashima
  • , Yuki Ishibashi
  • , Gaku Nakazawa
  • , Kuniaki Takahashi
  • , Takayuki Okamura
  • , Yosuke Miyazaki
  • , Hiroki Tateishi
  • Masato Nakamura, Norihiro Kogame, Taku Asano, Shimpei Nakatani, Yoshihiro Morino, Masaru Ishida, Yuki Katagiri, Masafumi Ono, Hironori Hara, Yohei Sotomi, Kengo Tanabe, Yukio Ozaki, Takashi Muramatsu, Jouke Dijkstra, Yoshinobu Onuma, Patrick W. Serruys
  • University of Galway
  • Royal Blackburn Hospital
  • School of Medicine
  • Shanghai Jiao Tong University
  • Teikyo University Hospital
  • St. Marianna University School of Medicine
  • Kindai University Faculty of Medicine
  • Yamaguchi University Graduate School of Medicine
  • Shibata Hospital
  • Toho University Medical Center Ohashi Hospital
  • Tokyo Rosai Hospital
  • StLuke's International Hospital
  • JCHO Hoshigaoka Medical Center
  • Iwate Medical University
  • Sapporo Higashi Tokushukai Hospital
  • The University of Tokyo Hospital
  • Osaka University Graduate School of Medicine
  • Mitsui Memorial Hospital
  • Fujita Health University
  • Fujita Health University Hospital
  • Leiden University Medical Center

Research output: Contribution to a Journal (Peer & Non Peer)Articlepeer-review

12 Citations (Scopus)

Abstract

Background: Even with intracoronary imaging-guided stent optimisation, suboptimal haemodynamic outcomes post-percutaneous coronary intervention (PCI) can be related to residual lesions in non-stented segments. Preprocedural assessment of pathophysiological coronary artery disease (CAD) patterns could help predict the physiological response to PCI. Aims: The aim of this study was to assess the relationship between preprocedural pathophysiological haemodynamic patterns and intracoronary imaging findings, as well as their association with physiological outcomes immediately post-PCI. Methods: Data from 206 patients with chronic coronary syndrome enrolled in the ASET-JAPAN study were analysed. Pathophysiological CAD patterns were characterised using Murray law-based quantitative flow ratio (μQFR)-derived indices acquired from pre-PCI angiograms. The diffuseness of CAD was defined by the pullback pressure gradient (PPG) index. Intracoronary imaging in stented segments after stent optimisation was also analysed. Results: In the multivariable analysis, diffuse disease - defined by the pre-PCI μQFR-PPG index - was an independent factor for predicting a post-PCI μQFR <0.91 (per 0.1 decrease of PPG index, odds ratio 1.57, 95% confidence interval: 1.07-2.34; p=0.022), whereas the stent expansion index (EI) was not associated with a suboptimal post-PCI μQFR. Among vessels with an EI ≥80% and post-PCI μQFR <0.91, 84.0% of those vessels had a diffuse pattern preprocedure. There was no significant difference in EI between vessels with diffuse disease and those with focal disease. The average plaque burden in the stented segment was significantly larger in vessels with a preprocedural diffuse CAD pattern. Conclusions: A physiological diffuse pattern preprocedure was an independent factor in predicting unfavourable immediate haemodynamic outcomes post-PCI, even after stent optimisation using intracoronary imaging. Preprocedural assessment of CAD patterns could identify patients who are likely to exhibit superior immediate haemodynamic outcomes following PCI.

Original languageEnglish
Pages (from-to)E891-E902
JournalEuroIntervention
Volume19
Issue number11
DOIs
Publication statusPublished - Dec 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • drug-eluting stent
  • fractional flow reserve
  • intravascular ultrasound
  • optical coherence tomography
  • stable angina

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