Literature DB >> 10965090

Prognostic value of ischemia monitoring with on-line vectorcardiography in patients with unstable coronary artery disease.

P Lundin1, J Jensen, B Lindahl, L Wallentin, S V Eriksson.   

Abstract

AIM: The aim of this study was to determine whether on-line vectorcardiography (VCG) gives independent prognostic information, regarding death, myocardial infarction (MI), and revascularization in patients with unstable coronary artery disease, i.e. unstable angina or non-Q-wave MI. METHODS AND
RESULTS: One hundred and fifty patients (mean age 69 +/- 10), participating in a randomized study of low-molecular-weight heparin in unstable coronary artery disease, were studied with on-line VCG recordings for 24 h. During a 5-6-month follow-up, 11 patients died, 14 suffered a nonfatal MI and 31 were revascularized. Univariate predictors of death were diabetes mellitus (p < 0.01), maximum ST vector magnitude (ST-VM; p < 0.001), maximum ST change vector magnitude (STC-VM; p < 0.001), number of ST-VM (p < 0.01) and STC-VM episodes (p < 0.001). In multivariate analysis, the number of STC-VM episodes (p < 0.01) and diabetes mellitus (p < 0.02) each gave independent prognostic information regarding death. When all cardiovascular events were combined, the inability to perform an exercise test (p < 0.05), maximum value of ST-VM (p < 0.01) and STC-VM (p < 0.001), the number of episodes of STC-VM (p < 0.001) and ST-VM (p < 0.001) all gave prognostic information. In multivariate analysis, the inability to perform an exercise test and the number of STC-VM episodes were independent predictors.
CONCLUSION: VCG monitoring during the first 24 h of hospitalization for unstable coronary artery disease gives independent prognostic information. Copyright 2000 S. Karger AG, Basel

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Year:  2000        PMID: 10965090     DOI: 10.1159/000007024

Source DB:  PubMed          Journal:  Cardiology        ISSN: 0008-6312            Impact factor:   1.869


  2 in total

1.  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

2.  Ventricular depolarisation vectors in exercise induced myocardial ischaemia.

Authors:  Cameruddin W Vellani; Mohammad Yusuf; Sadia Mahmud; Satwat Hashmi
Journal:  Sci Rep       Date:  2017-11-07       Impact factor: 4.379

  2 in total

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