Evidence map›Paper›PMID 39914513›Full record

ArticleIndian heart journal

IVUS derived plaque characteristics and outcomes in patients with acute coronary syndrome undergoing percutaneous intervention.

Sajan Narayanan, Vijayakumar Subban, Parayaru Kottayil Asokan, Ramesh Natarajan, K Latchumanadhas, V V Krishnakumar, Gopi Aniyathodiyil, Ravi Cheriyan Mathew, M Shifas Babu, ArjunS Shenoi and 2 more

Abstract readMulticenter Study
In one paragraph

Article in Indian heart journal. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Sajan NarayananLittle Flower Hospital & Research Institute, Angamaly, Kerala, India. Electronic address: sajannarayanan@gmail.com.
Vijayakumar SubbanMadras Medical Mission, Mogappair, Chennai, Tamil Nadu, India.
Parayaru Kottayil AsokanFathima Hospital, Kozhikode, Kerala, India.
Ramesh NatarajanKIMS Health, Thiruvananthapuram, Kerala, India.
K LatchumanadhasMadras Medical Mission, Mogappair, Chennai, Tamil Nadu, India.
V V KrishnakumarAnanthapuri Hospitals & Research Institute, Thiruvananthapuram, Kerala, India.
Gopi AniyathodiyilFortis Hospital, Cunningham Road, Bengaluru, Karnataka, India.
Ravi Cheriyan MathewBeleivers Church Medical College Hospital, Thiruvalla, Kerala, India.
M Shifas BabuAnanthapuri Hospitals & Research Institute, Thiruvananthapuram, Kerala, India.
ArjunS ShenoiNarayanan Hrudayalaya, Bommasandra, Bengaluru, Karnataka, India.
UdayKhanolkarNarayanan Hrudayalaya, Bommasandra, Bengaluru, Karnataka, India.
C G BahuleyanAnanthapuri Hospitals & Research Institute, Thiruvananthapuram, Kerala, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNo/slow flow after percutaneous intervention(PCI) for acute coronary syndromes (ACS) is common. Whether a comprehensive intravascular ultrasound (IVUS) analysis of atherosclerotic plaque can define characteristics which predict suboptimal flow following PCI is largely unknown.

objectivesTo identify IVUS correlates of suboptimal flow in patients with ACS undergoing PCI. MATERIALS &

methodsWe performed a prospective multicentre, investigator initiated study. Patients with ACS, who underwent IVUS guided PCI were enrolled. Clinical, angiographic and imaging characteristics of patients who developed suboptimal flow after PCI were analysed and compared with patients with normal flow.

resultsBetween October 2021 and August 2022, we enrolled 187 patients (195 lesions) with ACS who underwent IVUS guided PCI. Mean age of patients was 58 ± 10.4 years; Incidence of slow/no reflow in our study was 14/195 (7.2 %). Presentation as ST elevation myocardial infarction, presence of angiographically complex lesion type (type B2/C) and pre procedural TIMI flow 0 were significantly more in patients who developed suboptimal flow after PCI. Pre PCI plaque attenuation length (9.51 mm Vs 4.35 mm p = 0.037), lesion site positive remodelling (Odds ratio 6.4 : 95 % CI; 1.1-38.4 p = 0.042) were predictors of slow flow.Post PCI length of plaque prolapse (9.73 mm Vs 6.58 mm p = 0.029) correlated with slow flow.

conclusionsPlaque characteristics on IVUS in patients with ACS helps to identify patients who may develop suboptimal flow following PCI.

Indexed as

Acute Coronary SyndromeCoronary CirculationCoronary VesselsPercutaneous Coronary InterventionPlaque, AtheroscleroticUltrasonography, InterventionalAgedCoronary AngiographyFemaleFollow-Up StudiesHumansMaleMiddle AgedProspective StudiesTreatment OutcomeAttenuation lengthNo reflowPlaque prolapsePositive remodellingSTEMIThrombus

Identifiers

PMID39914513
PMCPMC11977141

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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.