Literature DB >> 7471360

Comparative accuracy of electrocardiographic and vectorcardiographic criteria for inferior myocardial infarction.

H P Hurd, M R Starling, M H Crawford, P W Dlabal, R A O'Rourke.   

Abstract

Numerous criteria for the diagnosis of inferior wall myocardial infarction by electrocardiogram (ECG) and vectorcardiogram (VCG) have been published, but they have not been subjected to a systematic, independent evaluation. Accordingly, we studied 146 patients undergoing cardiac catheterization; 63 were normal and 83 had a history of infarction, a significant right coronary lesion and an inferior wall motion abnormality (inferior infarction group). No ECG or VCG criteria were considered in the designation of the two groups; rather, three sets of ECG and VCG criteria were evaluated for this purpose. Specificity was excellent (98-100%) and sensitivity was poor (4-34%) by all three sets of ECG criteria, but the 1949 ECG criteria of Meyers et al. are the least sensitive (4%, p less than 0.001). Specificity (90-100%) and sensitivity (82-84%) were very good by all three VCG criteria. The VCG criteria of Starr et al. gave no false-positive results in our normal group. Because of enhanced sensitivity, the overall accuracy of the VCG was higher than that of the ECG for the diagnosis of inferior infarction (90% vs 62%, p less than 0.001). We conclude that more recent ECG criteria for the diagnosis of inferior wall myocardial infarction are highly specific, but insensitive compared with VCG criteria.

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Year:  1981        PMID: 7471360     DOI: 10.1161/01.cir.63.5.1025

Source DB:  PubMed          Journal:  Circulation        ISSN: 0009-7322            Impact factor:   29.690


  8 in total

Review 1.  Significance of vectorcardiogram in the cardiological diagnosis of the 21st century.

Authors:  Andrés Ricardo Pérez Riera; Augusto H Uchida; Celso Ferreira Filho; Adriano Meneghini; Celso Ferreira; Edgardo Schapacknik; Sergio Dubner; Paulo Moffa
Journal:  Clin Cardiol       Date:  2007-07       Impact factor: 2.882

2.  Frontal plane vectorcardiograms: theory and graphics visualization of cardiac health status.

Authors:  Dhanjoo N Ghista; U Rajendra Acharya; T Nagenthiran
Journal:  J Med Syst       Date:  2009-02-21       Impact factor: 4.460

3.  Reliable Detection of Myocardial Ischemia Using Machine Learning Based on Temporal-Spatial Characteristics of Electrocardiogram and Vectorcardiogram.

Authors:  Xiaoye Zhao; Jucheng Zhang; Yinglan Gong; Lihua Xu; Haipeng Liu; Shujun Wei; Yuan Wu; Ganhua Cha; Haicheng Wei; Jiandong Mao; Ling Xia
Journal:  Front Physiol       Date:  2022-05-30       Impact factor: 4.755

4.  Experimental model of transthoracic, vascular-targeted, photodynamically induced myocardial infarction.

Authors:  Adrian Chrastina; Peter Pokreisz; Jan E Schnitzer
Journal:  Am J Physiol Heart Circ Physiol       Date:  2013-11-08       Impact factor: 4.733

5.  Detection and classification of cardiac ischemia using vectorcardiogram signal via neural network.

Authors:  Ali Reza Mehri Dehnavi; Iman Farahabadi; Hossain Rabbani; Amin Farahabadi; Mohamad Parsa Mahjoob; Nasser Rajabi Dehnavi
Journal:  J Res Med Sci       Date:  2011-02       Impact factor: 1.852

Review 6.  Review of Processing Pathological Vectorcardiographic Records for the Detection of Heart Disease.

Authors:  Jaroslav Vondrak; Marek Penhaker
Journal:  Front Physiol       Date:  2022-03-21       Impact factor: 4.755

Review 7.  The Vectorcardiogram and the Main Dromotropic Disturbances.

Authors:  Andrés R Pérez-Riera; Raimundo Barbosa-Barros; Rodrigo Daminello-Raimundo; Luiz C de Abreu; Kjell Nikus
Journal:  Curr Cardiol Rev       Date:  2021

8.  Discriminant analysis between myocardial infarction patients and healthy subjects using wavelet transformed signal averaged electrocardiogram and probabilistic neural network.

Authors:  Ahmad Keshtkar; Hadi Seyedarabi; Peyman Sheikhzadeh; Seyed Hossein Rasta
Journal:  J Med Signals Sens       Date:  2013-10
  8 in total

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