Prediction of no reflow phenomenon in percutaneous coronary intervention with optical coherence tomography and analysis of risk factors

医学 无回流现象 纤维帽 经皮冠状动脉介入治疗 心脏病学 内科学 血栓 心肌梗塞 光学相干层析成像 切断 冠状动脉疾病 放射科 量子力学 物理
作者
Shuangjun Gui,Gaoshuang Fu,Mengqi Jia,Shichao Liu,Xingtai Jia,Liguo Jian
出处
期刊:Heart Surgery Forum [Carden Jennings Publishing Co.]
卷期号:26 (1): E051-E055
标识
DOI:10.1532/hsf.5237
摘要

Objective :To investigate the predictive value of no reflow phenomenon in interventional therapy by measuring plaque quantitatively with optical coherence tomography (OCT). Methods:196 patients with acute ST segment elevation myocardial infarction who visited the Department of Cardiology of the Second Affiliated Hospital of Zhengzhou University from January 2020 to January 2022 were selected as the study objects. According to whether there was no reflow during the operation, they were divided into no reflow group (46 cases) and normal flow group (150 cases). Systematically collect general clinical data and coronary angiography related data of patients through inpatient cases, measure fiber cap thickness and lipid core angle of diseased vascular plaque through optical coherence tomography, and analyze the relationship between fiber cap thickness and no reflow phenomenon Results:BMI, LDL, phospholipase A, the proportion of family history of coronary heart disease, and the thrombus load in the no reflow group were higher than those in the normal flow group (P<0.05), while the thickness of the fibrous cap was lower than that in the normal flow group (P<0.05); Further multivariate logistic regression analysis showed that fiber cap thickness, phospholipase A and severe thrombosis load were independent risk factors for non reflow phenomenon (P<0.05); Further ROC curve analysis found that the thickness of fiber cap had a high predictive value for no reflow phenomenon, and the best cutoff value for no reflow was 95, AUC: 0.926 (95% CI: 0.891-0.961, P<0.001). Conclusions: Optical coherence tomography can predict the occurrence of no reflow phenomenon by measuring the fiber cap thickness quantitatively. The prediction effect is the best when the fiber cap thickness is 95.
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