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Correlation between T-wave changes of avL lead with cardiovascular event endpoints in patients with acute coronary syndromes |
TU Lijun1 ZHANG Yunqiang2 DONG Nengbin1 HU Kai1 |
1.Electrocardiogram Room, Chenzhou No.1 People′s Hospital, Hu′nan Province, Chenzhou 423000, China;
2.Department of Neurosurgery, Chenzhou No.1 People′s Hospital, Hu′nan Province, Chenzhou 423000, China |
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Abstract Objective To study the correlation between T-wave changes of avL lead with the endpoints of major adverse cardiovascular events in patients with acute coronary syndrome (ACS). Methods A total of 163 cases with ACS patients who treated in Chenzhou No.1 People′s Hospital of Hu′nan Province from March 2015 to March 2018 were selected as the study objects. According to whether the endpoints of major adverse cardiovascular events occurred, they were divided into the good prognosis group (101 cases) and the poor prognosis group (62 cases). The relationship between the change of T-wave changes of avL lead and other related indexes was compared between the two groups. Results The incidence rate of T-wave changes of avL lead, ST segment elevation, ST segment depression and pathological Q wave in the poor prognosis group were higher than those in the good prognosis group (all P < 0.05). The results of predicting the endpoints of major adverse cardiovascular events by T-wave changes of avL lead were highly consistent with the follow-up results (M = 0.064, Kappa = 0.759, P < 0.05). The sensitivity and specificity were 91.93% and 86.14%, and the positive predictive value and negative predictive value were 80.28% and 94.57%, respectively. Logistic regression analysis showed that T-wave changes of avL lead, pathological Q, wave ST segment elevation and acute myocardial infarction (AMI) were independent risk predictors of the endpoints of major adverse cardiovascular events in patients. Conclusion The T-wave changes of avL lead in the body surface electrocardiogram of patients with ACS has a high predictive value for the end point of adverse cardiovascular events and is an independent risk predictor of major adverse cardiovascular events.
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