Can We Predict Infarct Related Coronary Arteries of Patients with Acute Inferior Myocardial Infarction from Electrocardiographic Findings?
İlker Gül, Hasan Güngör, Bekir Serhat Yıldız, Günay Güneş, Murat Bilgin, Ahmet Çağrı Aykan, Tayyar Gökdeniz, Mehdi Zoghi
Keywords: Acute inferior myocardial infarction; electrocardiography; coronary arteries; thrombosis, coronary.
Abstract
Introduction: We aimed to investigate the role of electrocardiography (ECG) findings in determining infarct related coronary arteries of patients hospitalized with a diagnosis of acute inferior myocardial infarction (AIMI). Patients and Methods: The first ECG records taken on admission to hospital and demographic characteristics of 132 patients, who were followed with the diagnosis of AIMI (mean age, 57.3 ± 11, 118 men) in our center between January 2004-January 2009, were evaluated. Results: When coronary angiography were evaluated, it was detected that the infarct-related coronary artery (IRCA) was the right coronary artery (RCA) in 70.4% of all patients, whereas it was circumflex artery (Cx) in 29.6% respectively. It was detected that DIII-ST elevation was higher than DII (94.6% sensivity, and 75.9% specifity, p= 0.001) and there was st depression in aVL and DI leads in cases which IRCA was RCA (88.2% sensivity and 75.2% specifity, p= 0.011). Although ST depression in aVL lead was higher than st depression in DI in cases which RCA was IRCA, this finding was defined statistically significant (%95.7 sensivity; %73.6 specifity; p= 0.016). RCA was the IRCA significantly in patients with inferior wall MI accompanied by right ventricular myocardial infarction (p= 0.005). Although Cx was observed as the culprit artery in cases which was accompanied by posterior wall infarction, no statistically finding was detected (p= 0.3). ST-depression was detected in V1-2 leads in ECG of patients whose culprit artery was Cx (%84.6 sensitivity, %36.3 specificity, p= 0.009). Conclusion: The findings based on surface ECG of the patients who underwent AIMI shows that IRCA can be predicted.