Evidence map›Paper›PMID 36441216›Full record

Observational studyEuropean radiology2023

Impact of coronary plaque characteristics on periprocedural myocardial injury in elective percutaneous coronary intervention.

Kyohei Usami, Hiroaki Watabe, Tomoya Hoshi, Shunsuke Sakai, Daigo Hiraya, Akira Sato, Masaki Ieda

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in European radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 30% of its field
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Rapid three-dimensional quantification of high-intensity plaques from coronary atherosclerosis TJournal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2024
    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

7 authors at 3 institutions in 1 country.

Kyohei UsamiDepartment of Cardiology, National Hospital Organization Mito Medical Center, Mito, Japan.
Hiroaki WatabeCardiovascular Division, Faculty of Medicine, University of Tsukuba, 2-1-1 Amakubo, Tsukuba, Ibaraki, 305-8576, Japan. hiroakiwatabe0214@yahoo.co.jp.ORCID http://orcid.org/0000-0002-1789-2282
Tomoya HoshiCardiovascular Division, Faculty of Medicine, University of Tsukuba, 2-1-1 Amakubo, Tsukuba, Ibaraki, 305-8576, Japan.
Shunsuke SakaiCardiovascular Division, Faculty of Medicine, University of Tsukuba, 2-1-1 Amakubo, Tsukuba, Ibaraki, 305-8576, Japan.
Daigo HirayaCardiovascular Division, Faculty of Medicine, University of Tsukuba, 2-1-1 Amakubo, Tsukuba, Ibaraki, 305-8576, Japan.
Akira SatoDepartment of Cardiology, University of Yamanashi, Yamanashi, Japan.
Masaki IedaCardiovascular Division, Faculty of Medicine, University of Tsukuba, 2-1-1 Amakubo, Tsukuba, Ibaraki, 305-8576, Japan.
University of Tsukuba · JPNational Hospital Organization Mito Medical Center · JPUniversity of Yamanashi · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo investigate the relationship between periprocedural myocardial injury (PMI) and plaque characteristics detected by multidetector computed tomography (MDCT) and cardiac magnetic resonance imaging (CMR). MATERIALS AND

methodsThis observational retrospective study, between July 2012 and October 2019, included chronic coronary syndrome patients undergoing elective percutaneous coronary intervention (PCI) after MDCT and CMR. High-intensity plaque (HIP) on non-contrast T1-weighted imaging was defined as a coronary plaque-to-myocardium signal intensity ratio of ≥ 1.4. High-risk plaque (HRP) in MDCT displayed ≥ 2 features: positive remodeling, low-attenuation plaque, spotty calcification, and napkin-ring sign. PMI was defined as an increase in cardiac troponin T levels > 5 times the upper normal limit at 24 h after PCI.

resultsNinety-five target lesions in 76 patients (mean age ± standard deviation, 67 years ± 9; 62 males [82%]) were included. Twenty-one patients (24 lesions) were assigned to the PMI group, while 55 patients (71 lesions) to the non-PMI group. Presence of HRP characteristics on MDCT and HIP on CMR was significantly higher in the PMI group. Multivariate logistic regression analysis showed that HRP in MDCT and HIP in CMR were significant independent predictors of PMI. Target lesions with HRP on MDCT and HIP on CMR were significantly more likely to develop PMI. In 141 plaques with ≥ 50% stenosis (76 patients), patients with PMI had significantly more frequent HRP in MDCT and HIP in CMR in target and non-target lesions.

conclusionsMDCT and CMR can play an important role in the detection of high-risk lesions for PMI following elective PCI. KEY POINTS: • Multivariate logistic regression analysis showed that high-risk plaque on MDCT and high-intensity plaque on MRI were significant independent predictors of periprocedural myocardial injury (PMI). • Target lesions with high-risk plaque on MDCT and high-intensity plaque on CMR were significantly more likely to develop PMI. • In 141 plaques with ≥ 50% stenosis, patients with PMI were significantly more likely to have high-risk plaques on MDCT and high-intensity plaque on CMR in target and non-target lesions.

Indexed as

Coronary Artery DiseaseHeart InjuriesPercutaneous Coronary InterventionPlaque, AtheroscleroticConstriction, PathologicCoronary AngiographyHumansMaleRetrospective StudiesRisk FactorsComputed tomography angiographyCoronary artery diseaseMagnetic resonance imagingPercutaneous coronary interventionPlaque, atherosclerotic

Identifiers

PMID36441216
OpenAlexW4310167901

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.