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Correlation between preoperative PCI dynamic electrocardiogram characteristics and prognosis in patients with coronary artery heart disease and heart failure |
YE Dabin SONG Wenxin▲ SUN Feng TAN Yan CHEN Zhengyin CHEN Ye |
Department of Cardiology, Dazu Hospital Affiliated to Chongqing Medical University, Chongqing 400900, China |
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Abstract Objective To observe the characteristics of preoperative percutaneous coronary intervention (PCI) dynamic electrocardiogram characteristics in patients with coronary artery heart disease and heart failure with different prognosis and to analyze the relationship between preoperative PCI dynamic electrocardiogram and prognosis. Methods The clinical data of 80 patients with coronary artery heart disease and heart failure who were treated in Dazu Hospital Affiliated to Chongqing Medical University from January 2018 to January 2019, completed PCI treatment and one year follow-up after treatment, was retrospectively analyzed. All patients received dynamic electocardiogram detection before PCI, according to whether the patients had adverse cardiovascular events during the one year follow-up period, they were divided into good prognosis group (69 cases) and poor prognosis group (11 cases). The baseline data and preoperative dynamic electrocardiogram characteristics of patients with coronary artery heart disease and heart failure with different prognostic outcomes were compared, then the receiver operating characteristic (ROC) curve was drew to analyze the value of preoperative dynamic electrocardiogram characteristics in predicting the poor prognosis of patients with coronary artery heart disease and heart failure after PCI. Results The incidence of adverse cardiovascular events in patients with coronary artery heart disease and heart failure was 13.75% (11/80); the standard deviation of NN intervals (SDNN), standard deviation average of NN intervals (SDANN), standard deviation of normal RR intervals index (SDNNI), root mean square of successive differences (rMSSD) in the poor prognosis group were lower than those in the good prognosis group, the differences were statistically significant (P < 0.05). The ROC curve was drew to obtain SDNN, SDANN, SDNNI and rMSSD to predict the poor prognosis of patients with coronary artery heart disease and heart failure after PCI, the area under the curve (AUC) were 0.865, 0.920, 0.848 and 0.918 separately, and the predictive value was ideal. The prediction values of SDANN and rMSSD were better. Conclusion Patients with coronary artery heart disease and heart failure can predict the prognosis by SDNN, SDANN, SDNNI, rMSSD and other heart rate variability time domain indicators before PCI, to give reasonable intervention as soon as possible to improve the prognosis.
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