Literature DB >> 16310446

Comparative accuracy of manual versus computerized electrocardiographic measurement of J-, ST- and T-wave deviations in patients with acute coronary syndrome.

Markku J Eskola1, Kjell C Nikus, Liisa-Maria Voipio-Pulkki, Heini Huhtala, Tiina Parviainen, Juha Lund, Tuomo Ilva, Pekka Porela.   

Abstract

Accurate and rapid electrocardiographic interpretation is of crucial importance in acute coronary syndrome (ACS). Computerized electrocardiographic algorithms are often used in out-of-hospital settings. Their accuracy should be carefully validated in ACS, particularly in ST-elevation myocardial infarction. This study evaluated the comparative accuracy of lead-specific computer-based versus manual measurements of the J-point, ST-segment, and T-wave deviations in standard 12-lead electrocardiograms (ECGs) (excluding lead aVR). Sixty-nine consecutive patients with suspected ACS were included. The interobserver reliability in the determination of ST-segment deviation>or=0.2 mV in leads V2 and V3 was very good (kappa=0.94 and 0.93, respectively). Agreement between a cardiologist and the computer regarding ST elevation>or=0.2 mV in lead V2 was moderate (kappa=0.72) and in V3 was very good (kappa=0.85). For ST depression or elevation>or=0.05 mV in lead LIII, agreement was good and moderate (kappa=0.79 and 0.51, respectively). Bland-Altman analysis demonstrated clinically acceptable limits of agreement comparing measurements of the J point and the T wave, but clinically inadequate limits of agreement with respect to ST-segment deviation, between the electrocardiographer and the computer. The optimal cut-off points were 0.115 mV (sensitivity 89%, specificity 98%) for the computer program to detect ST elevation>or=0.2 mV and 0.045 mV (sensitivity 74%, specificity 99%) for revealing ST elevation>or=0.1 mV. It was found that automatically measured ST-segment deviations were smaller than those manually measured. In conclusion, a correction should be performed to obtain optimal results in the automated analysis of ECGs, because the results have important implications for clinical decision making.

Entities:  

Mesh:

Year:  2005        PMID: 16310446     DOI: 10.1016/j.amjcard.2005.07.075

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   2.778


  6 in total

1.  Evaluation of ECG algorithms designed to improve detect of transient myocardial ischemia to minimize false alarms in patients with suspected acute coronary syndrome.

Authors:  Michele M Pelter; Yuan Xu; Richard Fidler; Ran Xiao; David W Mortara; Hu Xiao
Journal:  J Electrocardiol       Date:  2017-10-24       Impact factor: 1.438

2.  Electrocardiographic diagnosis of ST segment elevation myocardial infarction: An evaluation of three automated interpretation algorithms.

Authors:  J Lee Garvey; Jessica Zegre-Hemsey; Richard Gregg; Jonathan R Studnek
Journal:  J Electrocardiol       Date:  2016-05-02       Impact factor: 1.438

3.  Detection of proximal coronary occlusion in acute coronary syndrome: a feasibility study using computerized electrocardiographic analysis.

Authors:  Markku J Eskola; Kjell C Nikus; Liisa-Maria Voipio-Pulkki; Heini Huhtala; Juha Lund; Tuomo Ilva; Kari O Niemelä; Pekka Porela
Journal:  Ann Noninvasive Electrocardiol       Date:  2007-10       Impact factor: 1.468

4.  Comparison of a two-lead, computerized, resting ECG signal analysis device, the MultiFunction-CardioGram or MCG (a.k.a. 3DMP), to quantitative coronary angiography for the detection of relevant coronary artery stenosis (>70%) - a meta-analysis of all published trials performed and analyzed in the US.

Authors:  John E Strobeck; Joseph T Shen; Binoy Singh; Kotaro Obunai; Charles Miceli; Howard Sacher; Franz Ritucci; Michael Imhoff
Journal:  Int J Med Sci       Date:  2009-04-07       Impact factor: 3.738

5.  Computerized two-lead resting ECG analysis for the detection of coronary artery stenosis after coronary revascularization.

Authors:  Eberhard Grube; Andreas Bootsveld; Lutz Buellesfeld; Seyrani Yuecel; Joseph T Shen; Michael Imhoff
Journal:  Int J Med Sci       Date:  2008-03-02       Impact factor: 3.738

6.  Computerized two-lead resting ECG analysis for the detection of coronary artery stenosis.

Authors:  Eberhard Grube; Andreas Bootsveld; Seyrani Yuecel; Joseph T Shen; Michael Imhoff
Journal:  Int J Med Sci       Date:  2007-10-16       Impact factor: 3.738

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.