Advanced

Diagnostic Accuracy of the Electrocardiographic Decision Support – Myocardial Ischaemia (EDS-MI) Algorithm in Detection of Acute Coronary Occlusion

Lindow, Thomas LU ; Pahlm, Olle LU ; Olson, Charles W ; Khoshnood, Ardavan LU ; Ekelund, Ulf LU ; Carlsson, Marcus LU ; Swenne, Cees A. ; Man, Sumche and Engblom, Henrik LU (2020) In European Heart Journal: Acute Cardiovascular Care 9(S1). p.13-25
Abstract
Electrocardiographic Decision Support - Myocardial Ischaemia (EDS-MI) is a graphical decision support for detection and localization of acute transmural ischaemia. A recent study indicated that EDS-MI performs well for detection of acute transmural ischaemia. However, its performance has not been tested in patients with non-ischaemic ST-deviation. We aimed to optimize the diagnostic accuracy of EDS-MI in patients with verified acute coronary occlusion as well as patients with non-ischaemic ST deviation and compare its performance with STEMI criteria. We studied 135 patients with non-ischaemic ST deviation (perimyocarditis, left ventricular hypertrophy, takotsubo cardiomyopathy and early repolarization) and 117 patients with acute coronary... (More)
Electrocardiographic Decision Support - Myocardial Ischaemia (EDS-MI) is a graphical decision support for detection and localization of acute transmural ischaemia. A recent study indicated that EDS-MI performs well for detection of acute transmural ischaemia. However, its performance has not been tested in patients with non-ischaemic ST-deviation. We aimed to optimize the diagnostic accuracy of EDS-MI in patients with verified acute coronary occlusion as well as patients with non-ischaemic ST deviation and compare its performance with STEMI criteria. We studied 135 patients with non-ischaemic ST deviation (perimyocarditis, left ventricular hypertrophy, takotsubo cardiomyopathy and early repolarization) and 117 patients with acute coronary occlusion. In 63 ischaemic patients, the extent and location of the ischaemic area (myocardium at risk) was assessed by both cardiovascular magnetic resonance imaging and EDS-MI. Sensitivity and specificity of ST elevation myocardial infarction criteria were 85% (95% confidence interval (CI) 77, 90) and 44% (95% CI 36, 53) respectively. Using EDS-MI, sensitivity and specificity increased to 92% (95% CI 85, 95) and 81% (95% CI 74, 87) respectively (p=0.035 and p<0.001). Agreement was strong (83%) between cardiovascular magnetic resonance imaging and EDS-MI in localization of ischaemia. Mean myocardium at risk was 32% (± 10) by cardiovascular magnetic resonance imaging and 33% (± 11) by EDS-MI when the estimated infarcted area according to Selvester QRS scoring was included in myocardium at risk estimation. In conclusion, EDS-MI increases diagnostic accuracy and may serve as an automatic decision support in the early management of patients with suspected acute coronary syndrome. The added clinical benefit in a non-selected clinical chest pain population needs to be assessed. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
ECG, Electrocardiography, Acute coronary occlusion
in
European Heart Journal: Acute Cardiovascular Care
volume
9
issue
S1
pages
13 - 25
publisher
SAGE Publications
external identifiers
  • pmid:29611430
ISSN
2048-8734
DOI
10.1177/2048872618768081
language
English
LU publication?
yes
id
cf1e6fa6-f8d1-48c5-aadd-de44ad6d9a56
date added to LUP
2018-06-03 03:39:43
date last changed
2020-03-04 16:23:19
@article{cf1e6fa6-f8d1-48c5-aadd-de44ad6d9a56,
  abstract     = {Electrocardiographic Decision Support - Myocardial Ischaemia (EDS-MI) is a graphical decision support for detection and localization of acute transmural ischaemia. A recent study indicated that EDS-MI performs well for detection of acute transmural ischaemia. However, its performance has not been tested in patients with non-ischaemic ST-deviation. We aimed to optimize the diagnostic accuracy of EDS-MI in patients with verified acute coronary occlusion as well as patients with non-ischaemic ST deviation and compare its performance with STEMI criteria. We studied 135 patients with non-ischaemic ST deviation (perimyocarditis, left ventricular hypertrophy, takotsubo cardiomyopathy and early repolarization) and 117 patients with acute coronary occlusion. In 63 ischaemic patients, the extent and location of the ischaemic area (myocardium at risk) was assessed by both cardiovascular magnetic resonance imaging and EDS-MI. Sensitivity and specificity of ST elevation myocardial infarction criteria were 85% (95% confidence interval (CI) 77, 90) and 44% (95% CI 36, 53) respectively. Using EDS-MI, sensitivity and specificity increased to 92% (95% CI 85, 95) and 81% (95% CI 74, 87) respectively (p=0.035 and p&lt;0.001). Agreement was strong (83%) between cardiovascular magnetic resonance imaging and EDS-MI in localization of ischaemia. Mean myocardium at risk was 32% (± 10) by cardiovascular magnetic resonance imaging and 33% (± 11) by EDS-MI when the estimated infarcted area according to Selvester QRS scoring was included in myocardium at risk estimation. In conclusion, EDS-MI increases diagnostic accuracy and may serve as an automatic decision support in the early management of patients with suspected acute coronary syndrome. The added clinical benefit in a non-selected clinical chest pain population needs to be assessed.},
  author       = {Lindow, Thomas and Pahlm, Olle and Olson, Charles W and Khoshnood, Ardavan and Ekelund, Ulf and Carlsson, Marcus and Swenne, Cees A. and Man, Sumche and Engblom, Henrik},
  issn         = {2048-8734},
  language     = {eng},
  number       = {S1},
  pages        = {13--25},
  publisher    = {SAGE Publications},
  series       = {European Heart Journal: Acute Cardiovascular Care},
  title        = {Diagnostic Accuracy of the Electrocardiographic Decision Support – Myocardial Ischaemia (EDS-MI) Algorithm in Detection of Acute Coronary Occlusion},
  url          = {http://dx.doi.org/10.1177/2048872618768081},
  doi          = {10.1177/2048872618768081},
  volume       = {9},
  year         = {2020},
}