title: Improved detection of acute myocardial infarction using a diagnostic algorithm based on calculated epicardial potentials.
abstract: BACKGROUND
  New methods for detecting myocardial infarction in patients with suspected acute coronary syndromes are needed particularly in an era where the majority of patients with myocardial infarction present with non-diagnostic 12-lead electrocardiograms (ECG). We compared a novel epicardial diagnostic algorithm using epicardial potentials from the 80-lead body surface map with other electrocardiographic techniques in detection of myocardial infarction.
  
  
  METHODS
  Between February 1999 and February 2001, consecutive patients (n=427) with ischemic type chest pain had an initial 12-lead ECG and body surface map recorded. Detecting myocardial infarction using an epicardial algorithm was first performed in a training set (n=213) and tested in a validation set of patients (n=214). The results from this epicardial algorithm in myocardial infarction detection were compared with the physician's interpretation of the 12-lead ECG, the body surface map algorithm (PRIME) and physician's interpretation of the body surface map.
  
  
  RESULTS
  Myocardial infarction occurred in 205 patients (creatine kinase >or=2x upper limit of normal with creatine kinase-MB >or=7% CK). The physician's interpretation of the 12-lead ECG identified 122 with myocardial infarction (sensitivity 60%, specificity 99%), the body surface map algorithm 137 (sensitivity 67%, specificity 89%), the physician's interpretation of the body surface map 153 (sensitivity 75%, specificity 91%) and the epicardial algorithm 158 (sensitivity 77% specificity 99%). Combining the physician's interpretation of the 12-lead ECG with the epicardial algorithm increased significantly the detection of myocardial infarction (sensitivity 85%, specificity 98%, p<0.001) compared with the 12-lead ECG.
  
  
  CONCLUSIONS
  An epicardial algorithm based on epicardial potentials increases significantly the detection of myocardial infarction particularly among those with non-diagnostic 12-lead ECG's.
authors.affiliation: Regional Medical Cardiology Centre, Royal Victoria Hospital, Belfast, Northern Ireland, BT12 6BA, United Kingdom. columowens@yahoo.co.uk
authors.forename: Colum
authors.initials: C
authors.lastname: Owens
authors.forename: César
authors.initials: C
authors.lastname: Navarro
authors.forename: Anthony
authors.initials: A
authors.lastname: McClelland
authors.forename: John
authors.initials: J
authors.lastname: Riddell
authors.forename: Omar
authors.initials: O
authors.lastname: Escalona
authors.forename: John McC
authors.initials: JM
authors.lastname: Anderson
authors.forename: Jennifer
authors.initials: J
authors.lastname: Adgey
mesh_terms: D000368:Aged; D000465:Algorithms; D004553:Electric Conductivity; D004562:Electrocardiography; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D009203:Myocardial Infarction / Q000175:diagnosis* / Q000503:physiopathology*; D019047:Phantoms, Imaging; D015203:Reproducibility of Results