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Geographic disparity of pathophysiological coronary artery disease characteristics: Insights from ASET trials

  • Nozomi Kotoku
  • , Kai Ninomiya
  • , Shinichiro Masuda
  • , Tsung Ying Tsai
  • , Pruthvi C. Revaiah
  • , Scot Garg
  • , Shigetaka Kageyama
  • , 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, Fernando de Martino, João Tinoco, Patricia O. Guimarães, Kengo Tanabe, Yukio Ozaki, ASET Japan and ASET Brazil Investigators
  • University of Galway
  • East Lancashire Hospitals NHS Trust
  • University of Central Lancashire
  • Shanghai Jiao Tong University
  • Teikyo University
  • St. Marianna University School of Medicine
  • Kindai University
  • Yamaguchi University
  • Heart Clinic Minami Yamaguchi
  • Department of Cardiology, Toho University Medical Center, Ohashi Hospital, Tokyo, Japan
  • Tokyo Rosai Hospital
  • St. Luke's International Hospital
  • Japan Community Healthcare Organization Hoshigaoka Medical Center
  • Iwate Medical University
  • Sapporo Higashi Tokushukai Hospital
  • Triângulo Mineiro Federal University
  • Instituto Cardiovascular de Linhares UNICOR
  • Universidade de São Paulo
  • Hospital Israelita Albert Einstein
  • Mitsui Memorial Hospital
  • Fujita Health University
  • Department of Cardiology Cardiovascular Center Fujita Health University Hospital Toyoake Japan

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

Background: The geographical disparity in the pathophysiological pattern of coronary artery disease (CAD) among patients undergoing percutaneous coronary intervention (PCI) is unknown. Objectives: To elucidate the geographical variance in the pathophysiological characteristics of CAD. Methods: Physiological indices derived from angiography-based fractional flow reserve pullbacks from patients with chronic coronary syndrome enrolled in the ASET Japan (n = 206) and ASET Brazil (n = 201) studies, which shared the same eligibility criteria, were analysed. The pathophysiological patterns of CAD 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 μQFR pullback pressure gradient index. Results: Significant functional stenoses pre-PCI (μQFR ≤0.80) were more frequent in ASET Japan compared to ASET Brazil (89.9% vs. 67.5%, p < 0.001), as were rates of a post-PCI μQFR <0.91 (22.1% vs. 12.9%, p = 0.013). In the multivariable analysis, pre-procedural μQFR and diffuse disease were independent factors for predicting a post-PCI μQFR <0.91, which contributed to the different rates of post-PCI μQFR ≥0.91 between the studies. Among vessels with a post-PCI μQFR <0.91, a consistent diffuse pattern of CAD pre- and post-PCI occurred in 78.3% and 76.7% of patients in ASET Japan and Brazil, respectively; only 6.3% (Japan) and 10.0% (Brazil) of vessels had a major residual gradient. Independent risk factors for diffuse disease were diabetes mellitus in ASET Japan, and age and male gender in Brazil. Conclusions: There was geographic disparity in pre-procedural angiography-based pathophysiological characteristics. The combined pre-procedural physiological assessment of vessel μQFR and diffuseness of CAD may potentially identify patients who will benefit most from PCI.

Original languageEnglish
Article number131805
JournalInternational journal of cardiology
Volume400
Early online date2024
DOIs
Publication statusPublished - 1 Apr 2024

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

  • Coronary artery disease
  • Diffuse disease
  • Geographic disparity
  • Percutaneous coronary intervention
  • Pullback pressure gradient
  • Quantitative flow ratio

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