Predictive value of myocardial perfusion-related parameters measured by echocardiography on the prognosis of patients with coronary artery disease at 90 d after percutaneous coronary intervention
10.3760/cma.j.cn115455-20230217-00138
- VernacularTitle:超声心动图测定心肌灌注相关参数对冠心病患者经皮冠状动脉介入治疗后90天预后的预测价值探究
- Author:
Xiaobing CHEN
1
;
Shanshan HUI
;
Yunlong ZHANG
;
Hongmei RAN
Author Information
1. 浙江大学第二附属医院临平院区超声科，杭州 311100
- Keywords:
Coronary artery disease;
Percutaneous coronary intervention;
Echocardiography;
Myocardial reperfusion injury
- From:
Chinese Journal of Postgraduates of Medicine
2024;47(10):917-922
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the predictive value of myocardial perfusion-related parameters measured by echocardiography on the prognosis of patients with coronary artery disease at 90 d after percutaneous coronary intervention (PCI).Methods:Eighty-five patients with coronary artery disease who underwent PCI in Linping Branch of the Second Affiliated Hospital of Zhejiang University from October 2020 to October 2022 were selected retrospectively. Patients were divided into the occurrence myocardial perfusion injury group (40 cases) and the non-occurrence myocardial perfusion injury group (45 cases). The quantitative echocardiographic parameters of left ventricular end-diastolic internal diameter (LVEDD) and left ventricular end-systolic internal diameter (LVESD) were compared between the two groups, and the effects of LVEDD and LVESD on the risk of myocardial perfusion injury after PCI in patients with coronary artery disease were analyzed. Logistic regression was used to analyze the factors influencing the major adverse cardiovascular events (MACE) of patients with coronary artery disease at 90 d after PCI. A line graph model was constructed, the receiver operating characteristic (ROC) curve and decision curve analysis (DCA) were constructed to verify the predictive efficiency of the line graph model.Results:Compared with the day of admission, the levels of LVEDD and LVESD were increased at 2 and 6 h after PCI, and showed an increasing trend at each time point ( P<0.05). The levels of LVEDD and LVESD at 2 and 6 h after PCI in the occurrence myocardial perfusion injury group were higher than those in the non-occurrence myocardial perfusion injury group: (45.56 ± 2.35) mm vs. (43.27 ± 2.12 ) mm, (47.87 ± 3.56) mm vs. (45.73 ± 2.98) mm; (33.49 ± 2.32) mm vs. (31.29 ± 2.29) mm, (35.62 ± 3.03) mm vs. (33.74 ± 2.12) mm, there were statistical differences ( P<0.05). The risk of myocardial perfusion injury was 4.469 and 6.081 times higher in patients with high levels of LVEDD and LVESD than in patients with low levels. The results of Logistic regression analysis showed that coronary multiple lesions, time from onset to balloon dilation, coronary Gensini score and LVEDD, LVESD were independent influencing factors of MACE at 90 d after PCI in patients with coronary artery disease ( P<0.05). Based on the above five independent influencing factors, a column line graph model was established to predict the risk of poor prognosis at 90 d after PCI. According to the column line graph model, the coronary multiple lesions were scored as 5; the corresponding prognostic adverse risk increased with the increase of time from onset to balloon dilation, coronary Gensini score and quantitative echocardiographic parameters LVEDD and LVESD; the internal validation of the column line graph prediction model was performed, and the C-index of the model was 0.978; the calibration curve showed that the model had good differentiation and accuracy in predicting the risk of MACE at 90 d after PCI. The results of ROC curve showed, the area under the curve (AUC) was 0.955 (95% CI 0.952 - 1.000). The DCA showed that when the line graph model was in the high risk threshold range (0 - 0.9), the prediction of the model had clinical practical value and the net benefit of patients was high. Conclusions:The abnormal increase of LVEDD and LVESD determined by echocardiography is associated with myocardial perfusion injury in patients with coronary heart disease after PCI, and a line graph model based on LVEDD and LVESD can predict the occurrence of MACE at 90 d after PCI, so as to guide early risk assessment and prevention.
