Evidence map›Paper›PMID 37960875›Full record

ArticleEuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology2023

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 and 26 more

Registry-linked trialAbstract read
In one paragraph

Article in EuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05117866 (A Multicenter, Single Arm, Open-label Trial of Prasugrel Monotherapy After PCI With the SYNERGY® Stent in Patients With Chronic Coronary Syndrome or Non-ST-elevation Acute Coronary Syndromes), which is not on this map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05117866 naactive not recruitingnot on this map

A Multicenter, Single Arm, Open-label Trial of Prasugrel Monotherapy After PCI With the SYNERGY® Stent in Patients With Chronic Coronary Syndrome or Non-ST-elevation Acute Coronary Syndromes

TypeinterventionalSponsorMeditrix CorpRan2020 to 2025Enrolled307ConditionsChronic Coronary Syndrome, Non ST Segment Elevation Acute Coronary SyndromeArmsprasugrel Monotherapy
3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Novel Non-Hyperemic Coronary Physiology Indices for Vessel Longitudinal Analysis.Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions · 2025
    Observational
  4. Article
  5. Review
  6. Article
  7. Pullback pressure gradient index: can it predict plaque phenotype?EuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

36 authors.

Nozomi KotokuDepartment of Cardiology, University of Galway, Galway, Ireland.
Kai NinomiyaDepartment of Cardiology, University of Galway, Galway, Ireland.
Shinichiro MasudaDepartment of Cardiology, University of Galway, Galway, Ireland.
Neil O'LearyDepartment of Cardiology, University of Galway, Galway, Ireland.
Scot GargDepartment of Cardiology, Royal Blackburn Hospital, Blackburn, United Kingdom.
Mareka NaitoDepartment of Cardiology, University of Galway, Galway, Ireland.
Kotaro MiyashitaDepartment of Cardiology, University of Galway, Galway, Ireland.
Akihiro TobeDepartment of Cardiology, University of Galway, Galway, Ireland.
Shigetaka KageyamaDepartment of Cardiology, University of Galway, Galway, Ireland.
Tsung Ying TsaiDepartment of Cardiology, University of Galway, Galway, Ireland.
Pruthvi C RevaiahDepartment of Cardiology, University of Galway, Galway, Ireland.
Shengxian TuSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Ken KozumaDepartment of Cardiology, Teikyo University Hospital, Tokyo, Japan.
Hideyuki KawashimaDepartment of Cardiology, Teikyo University Hospital, Tokyo, Japan.
Yuki IshibashiDivision of Cardiology, Department of Internal Medicine, St. Marianna University School of Medicine, Kanagawa, Japan.
Gaku NakazawaDepartment of Cardiology, Kindai University Faculty of Medicine, Osaka, Japan.
Kuniaki TakahashiDepartment of Cardiology, Kindai University Faculty of Medicine, Osaka, Japan.
Takayuki OkamuraDivision of Cardiology, Department of Medicine and Clinical Science, Yamaguchi University, Graduate School of Medicine, Yamaguchi, Japan.
Yosuke MiyazakiDivision of Cardiology, Department of Medicine and Clinical Science, Yamaguchi University, Graduate School of Medicine, Yamaguchi, Japan.
Hiroki TateishiDivision of Cardiology, Department of Medicine and Clinical Science, Yamaguchi University, Graduate School of Medicine, Yamaguchi, Japan.
Masato NakamuraDivision of Cardiovascular Medicine, Toho University Ohashi Medical Center, Tokyo, Japan.
Norihiro KogameDivision of Cardiovascular Medicine, Toho University Ohashi Medical Center, Tokyo, Japan.
Taku AsanoDepartment of Cardiology, St. Luke's International Hospital, Tokyo, Japan.
Shimpei NakataniDepartment of Cardiology, JCHO, Hoshigaoka Medical Center, Osaka, Japan.
Yoshihiro MorinoDepartment of Cardiology, Iwate Medical University Hospital, Iwate, Japan.
Masaru IshidaDepartment of Cardiology, Iwate Medical University Hospital, Iwate, Japan.
Yuki KatagiriDepartment of Cardiology, Sapporo Higashi Tokushukai Hospital, Hokkaido, Japan.
Masafumi OnoDepartment of Cardiology, St. Luke's International Hospital, Tokyo, Japan.
Hironori HaraDepartment of Cardiology, The University of Tokyo Hospital, Tokyo, Japan.
Yohei SotomiDepartment of Cardiovascular Medicine, Osaka University, Graduate School of Medicine, Osaka, Japan.
Kengo TanabeDivision of Cardiology, Mitsui Memorial Hospital, Tokyo, Japan.
Yukio OzakiDepartment of Cardiology, Fujita Health University Okazaki Medical Center, Aichi, Japan.
Takashi MuramatsuDepartment of Cardiology, Fujita Health University Hospital, Toyoake, Japan.
Jouke DijkstraDivision of Image Processing, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands.
Yoshinobu OnumaDepartment of Cardiology, University of Galway, Galway, Ireland.
Patrick W SerruysDepartment of Cardiology, University of Galway, Galway, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEven 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.

aimsThe 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.

methodsData 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.

resultsIn 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.

conclusionsA 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.

Indexed as

Coronary Artery DiseaseFractional Flow Reserve, MyocardialPercutaneous Coronary InterventionCoronary AngiographyCoronary VesselsHemodynamicsHumansPredictive Value of TestsTreatment Outcome

Identifiers

PMID37960875
PMCPMC10719743

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.