【摘 要】
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Background This study was designed to investigate the relation between hemodynamic states before PCI and myocardial perfusion after early percutaneous coronary intervention (PCI) following thrombolysi
【机 构】
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Second Hospital of Hebei Medical University
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Background This study was designed to investigate the relation between hemodynamic states before PCI and myocardial perfusion after early percutaneous coronary intervention (PCI) following thrombolysis.Methods This study represented a retrospective analysis of the consecutive STEMI patients undergoing early PCI following thrombolysis who were admitted to the second hospital of Hebei medical university from June 2007 to June2009.According to the TIMI myocardial perfusion grading (TMPG) after PCI, all the eligible patients were divided into incomplete perfusion group (TMPG ≤2) and complete perfusion group (TMPG=3).The systolic blood pressure (SBP),diastolic blood pressure (DBP) and heart rate before PCI were recorded.The TIMI flow grade (TFG), corrected TIMI frame (CTFC) and TMPG, as well as thrombosis score were compared between the two groups.The peak value of CK-MB was monitored and evaluated as infarction area.Echocardiographic examination was performed at discharge by a cardiologist blinded to the randomization results.Left ventricular ejection fraction (LVEF) was determined from apical2 and 4 chambers views by Simpsons biplane formula.Medications were also recorded in a database.Univariate logistic regression was used to analyze the baseline characteristics, angiograph characteristics and hemodynamic states before PCI.The TMPG was used as dependent factor, and multivariate logistic was performed to analyze the independent variants which were selected by univariate logistic regressions.The odds ratios (ORs) and their corresponding 95％confidence intervals (CIs) were provided.The logistic regression equation was established according to the result of multivariate logistic regression to predict the risk of incomplete perfusion (TMPG ≤2) after PCI.The receiver operating characteristic (ROC) curve was applied to evaluate the sensitivity and specificity of the cutoff value.
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