Evidence map›Paper›PMID 38842665›Full record

ArticleThe international journal of cardiovascular imaging2024

Optical coherence tomography analysis of lesion characteristics and thrombus types in non ST-segment elevation myocardial infarction patients.

Qing He, Haijia Yu, Jingchao Li, Huihui Song, Luqian Cui, Lingkun Ma, Yue Kang, Zihan Ding, Yingjie Chu, Shujuan Dong

Abstract readComparative Study
In one paragraph

Article in The international journal of cardiovascular imaging, 2024. 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
–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.

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

1 citing paper in PubMed.

  1. Review
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

10 authors.

Qing He *Department of Cardiology, Henan Provincial People's Hospital, Henan University People's Hospital, Zhengzhou, China.
Haijia Yu *Department of Cardiology, Henan Provincial People's Hospital, Henan University People's Hospital, Zhengzhou, China.
Jingchao LiDepartment of Cardiology, Henan Provincial People's Hospital, Henan University People's Hospital, Zhengzhou, China.
Huihui SongDepartment of Cardiology, Henan Provincial People's Hospital, Henan University People's Hospital, Zhengzhou, China.
Luqian CuiDepartment of Cardiology, Henan Provincial People's Hospital, Henan University People's Hospital, Zhengzhou, China.
Lingkun MaDepartment of Cardiology, Henan Provincial People's Hospital, Henan University People's Hospital, Zhengzhou, China.
Yue KangDepartment of Cardiology, Henan Provincial People's Hospital, Henan University People's Hospital, Zhengzhou, China.
Zihan DingDepartment of Cardiology, Henan Provincial People's Hospital, Henan University People's Hospital, Zhengzhou, China.
Yingjie ChuDepartment of Cardiology, Henan Provincial People's Hospital, Henan University People's Hospital, Zhengzhou, China. hnqbdsl@126.com.
Shujuan DongDepartment of Cardiology, Henan Provincial People's Hospital, Henan University People's Hospital, Zhengzhou, China. hnsydsj@163.com.

Funding

Joint construction project of Henan Province Medical Science and Technology Public Relations Plan LHGJ20220001
6 · The paper itself

Abstract

The precise features of lesions in non-ST-segment elevation myocardial infarction (NSTEMI) patients with total occlusion (TO) of the infarct-related artery (IRA) are still unclear. This study employs optical coherence tomography (OCT) to investigate pathological features in NSTEMI patients with or without IRA TO and explores the relationship between thrombus types and IRA occlusive status. This was a single-center retrospective study. A total of 202 patients diagnosed with NSTEMI were divided into two groups: those with Thrombolysis In Myocardial Infarction (TIMI) flow grade 0 before percutaneous coronary intervention (PCI) (referred to as the TO group, n = 100) and those TIMI flow grade 1-3 (referred to as the Non-TO group, n = 102). Baseline characteristics, coronary angiography findings, and OCT results were collected. Multivariate logistic analysis identified factors influencing TO in NSTEMI. The category of NSTEMI was further subdivided based on the type of electrocardiogram (ECG) into two subgroups: ST segment unoffset myocardial infarction (STUMI) and ST segment depression myocardial infarction (STDMI). This division allows for a more specific classification of NSTEMI cases. The TO group had a younger age, higher male representation, more smokers, lower hypertension and cerebrovascular disease incidence, lower left ventricular ejection fraction (LVEF), and higher creatine kinase myocardial band (CKMB) and creatine kinase (CK) peak levels. In the TO group, LCX served as the main IRA (52.0%), whereas in the Non-TO group, LAD was the predominant IRA (45.1%). Compared to the Non-TO group, OCT findings demonstrated that red thrombus/mixed thrombus was more common in the TO group, along with a lower occurrence of white thrombus (p < 0.001). The TO group exhibited a higher prevalence of STUMI (p = 0.001), whereas STDMI was more commonly observed in the Non-TO group (p = 0.001). NSTEMI presents as STUMI and STDMI distinct entities. Red thrombus/mixed thrombus in IRA often indicates occlusive lesions with STUMI on ECG. White thrombus suggests non-occlusive lesions with STDMI on ECG.

Indexed as

Coronary AngiographyCoronary ThrombosisCoronary VesselsElectrocardiographyNon-ST Elevated Myocardial InfarctionPercutaneous Coronary InterventionPredictive Value of TestsTomography, Optical CoherenceAgedChi-Square DistributionCoronary CirculationCoronary OcclusionFemaleHumansLogistic ModelsMaleInfarct-related arteryNon-ST-segment elevation myocardial infarctionNon-total occlusionOptical coherence tomographyTotal occlusion

Identifiers

PMID38842665
PMCPMC11258150

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Registered trials

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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.