• DocumentCode
    561848
  • Title

    Location of the culprit artery in acute myocardial infarction using the ECG

  • Author

    Waduud, Mohammed A. ; Clark, Elaine N. ; Payne, Alex ; Berry, Colin ; Sejersten, Maria ; Clemmensen, Peter ; Macfarlane, Peter W.

  • Author_Institution
    Univ. of Glasgow, Glasgow, UK
  • fYear
    2011
  • fDate
    18-21 Sept. 2011
  • Firstpage
    417
  • Lastpage
    420
  • Abstract
    This study aimed to assess the accuracy of current ECG criteria for locating the coronary artery principally involved in an acute myocardial infarction (AMI) in order to evaluate the merits of implementing AHA/ACC recommendations that require the culprit artery be reported on an ECG interpretation. 12 lead ECGs were recorded in ambulances on patients with a suspected acute coronary syndrome. These were retrospectively analysed along with coronary angiograms. Patients were included if they had a single vessel occlusion greater than 75%. ST amplitude, as measured by computer techniques, was used to test ECG criteria identified from the literature. The best criterion for predicting LAD occlusion had SE 74.1%, SP 96.1%. For RCA and LCx, the best results were SE 74.1%, SP 90.9% and SE 35.5%, SP 94.8% respectively. In conclusion, it is possible to identify the LAD and RCA as the culprit artery with a reasonable degree of sensitivity and specificity using current criteria.
  • Keywords
    blood vessels; cardiovascular system; electrocardiography; medical signal processing; patient diagnosis; ACC recommendation; AHA recommendation; ECG interpretation; LAD; LCx; RCA; acute coronary syndrome; acute myocardial infarction; coronary angiograms; culprit artery location; left anterior descending artery; left circumflex artery; right coronary artery; single vessel occlusion; Algorithm design and analysis; Arteries; Electrocardiography; Hospitals; Lead; Myocardium; Prediction algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing in Cardiology, 2011
  • Conference_Location
    Hangzhou
  • ISSN
    0276-6547
  • Print_ISBN
    978-1-4577-0612-7
  • Type

    conf

  • Filename
    6164591