Evidence map›Paper›PMID 38532846›Full record

ArticleInternational journal of general medicine2024

Predicting Endothelium-Dependent Diastolic Function (FMD) and Its Correlation with the Degree of Coronary Artery Disease (CAD) and Plaque Vulnerability for Cardiovascular Events.

Guangming Zhang, Jing Yang, Hanghang Xing, Hongning Yin, Guoqing Gu

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Article in International journal of general medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Guangming ZhangDepartment of Cardiology, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050004, People's Republic of China.
Jing YangDepartment of Cardiology, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050004, People's Republic of China.
Hanghang XingDepartment of Cardiology, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050004, People's Republic of China.
Hongning YinDepartment of Heart ultrasound, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050004, People's Republic of China.
Guoqing GuDepartment of Cardiology, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050004, People's Republic of China.
Second Hospital of Hebei Medical University · CNHebei Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aims to investigate the correlation between vascular endothelium-dependent diastolic function (FMD) and the degree of coronary artery disease (CAD), plaque vulnerability, and its predictive value for cardiovascular events. Methods: Initially, patients (n=100) who were admitted from January 2020 to January 2021 and intended to undergo percutaneous coronary intervention (PCI) were selected. Further, FMD in all patients was determined before the procedure and divided into a high-FMD group (≥4.2%) and a low-FMD group (<4.2%). Further, the data of two groups, including general information, coronary artery lesions, and plaque fibrous cap, were compared. Finally, the relationship between FMD and the degree of coronary artery lesions and plaque vulnerability was analyzed. Results: No significant differences were observed concerning general information, number of coronary arteries-associated branches, lesion type, involvement of the left main stem (LM), the proportion of chronic occluded lesions (CTO), and lipid pool angle between the low-FMD group and the high-FMD group (P > 0.05). Nevertheless, the degree of stenosis of the lesions in the low-FMD group was significantly higher than in the high-FMD group (P < 0.05). In addition, the thickness of the fibrous cap was considerably lower than that in the high-FMD group (P < 0.05). Moreover, the incidence rate of TCFA was significantly higher than the high-FMD group (P < 0.05). The correlation analysis showed that FMD was significantly negatively correlated with the degree of coronary artery lesion stenosis and TCFA (P < 0.05) and positively correlated with the fibrous cap thickness (P < 0.05). Conclusion: Overall, a negative correlation between FMD and the degree of coronary stenosis, plaque vulnerability, and a high predictive value for post-PCI cardiovascular events suggested that FMD could be a critical diagnostic marker for CAD.

Indexed as

coronary heart diseaseendothelium-dependent diastolic functionlesion extentplaque vulnerabilitypredictive value

Identifiers

PMID38532846
PMCPMC10964785
OpenAlexW4393097936

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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.