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Zhonghua Yi Xue Za Zhi ; 99(47): 3732-3736, 2019 Dec 17.
Article in Chinese | MEDLINE | ID: mdl-31874499

ABSTRACT

Objective: To investigate the predictive value of epicardial adipose tissue volume (EATV) and inflammatory factors on in-stent restenosis (ISR) after percutaneous coronary implantation (PCI) in patients with coronary heart disease (CAD). Methods: A total of 407 patients with CAD who were treated with drug-eluting stents in TEDA international cardiovascular disease hospital were enrolled from November 2016 to October 2017. Levels of inflammatory cytokines such as high sensitive c-reactive protein (Hs-CRP), interleukin-6 (IL-6), and tumor necrosis factor (TNF-α) were detected. EATV was measured preoperatively by multi-sliced CT. Patients were divided into ISR group (n=52) and N-ISR group (n=355) according to ISR occurred within 1 year after procedure. The relationship between EATV and inflammatory factors and ISR after PCI was analyzed. Results: The differences between ISR group (n=52) and N-ISR group (n=355) were statistically significant in terms of diabetes history, IL-6, TNF-α, EATV ((150±36) cm(3)vs(120±40) cm(3),P=0.001)), bifurcation lesions, stent length and Gensini score (P<0.05). Multivariate Logistic regression analysis results showed that diabetes history,bifurcation lesions, TNF-α, EATV, and Gensini score were risk factors for in-stent restenosis.The area under the ROC curve (AUC) of EATV, TNF-α, and IL-6 in patients with CAD after PCI was 0.712, 0.752 and 0.675 (95%CI 0.648-0.776, 0.686-0.819, 0.584-0.766, respectively, all P<0.001), with a sensitivity of 86.5%, 67.3% and 69.2%, a specificity of 53.8%, 74.4% and 70.1% and a cut-off value of 116.61 cm(3),138.40 µg/L and 126.4 µg/L, respectively. Conclusion: EATV, TNF-α, and IL-6 have certain predictive values for in-stent restenosis, and can be used as clinical indicators to predict in-stent restenosis.


Subject(s)
Adipose Tissue , Coronary Restenosis , Drug-Eluting Stents , Percutaneous Coronary Intervention , Pericardium , Coronary Angiography , Humans , Risk Factors
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