Literature DB >> 19683104

Body surface mapping vs 12-lead electrocardiography to detect ST-elevation myocardial infarction.

Joseph P Ornato1, Ian B A Menown, Mary Ann Peberdy, Michael C Kontos, John W Riddell, George L Higgins, Suzanne J Maynard, Jennifer Adgey.   

Abstract

A prospective, multicenter trial was conducted in patients with nontraumatic chest pain in 4 hospitals to determine whether an 80-lead body surface map electrocardiogram system (80-lead BSM ECG) improves detection of ST-segment elevation in acute myocardial infarction (STEMI) compared with a standard 12-lead electrocardiogram (ECG) in an emergency department (ED) setting. A trained ED or cardiology staff member (technician or nurse) recorded a 12-lead ECG and 80-lead BSM ECG from each subject at initial presentation. Serial biomarkers (total creatine kinase [CK], CK-MB, and/or troponin) were obtained according to individual hospital practice. Of the 647 patients evaluated, 589 had available biomarkers results. Eighty-lead BSM ECG improved detection of biomarker-confirmed STEMI compared with the 12-lead ECG for CK-MB-defined STEMI (100% vs 72.7%, P = .031; n = 364) or troponin-defined STEMI (92.9% vs 60.7%, P = .022; n = 225). Specificity for STEMI was high (range, 94.9%-97.1%) with no significant difference between 80-lead BSM ECG and 12-lead ECG. Right ventricular involvement complicating inferior STEMI was detected by 80-lead BSM ECG in 2 (22%) of 9 patients with CK-MB-defined MI and in 2 (22%) of 9 patients with troponin-defined MI. The infarct location missed most commonly on 12-lead ECG but detected by 80-lead BSM ECG was inferoposterior MI. We conclude that BSM using 80-lead BSM ECG is more sensitive for detection of STEMI than 12-lead ECG, while retaining similar specificity.

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Year:  2009        PMID: 19683104     DOI: 10.1016/j.ajem.2008.06.010

Source DB:  PubMed          Journal:  Am J Emerg Med        ISSN: 0735-6757            Impact factor:   2.469


  7 in total

1.  Horizontal ECG in acute anterolateral myocardial infarction.

Authors:  Okan Erdogan; Bahar Dalkilic; Alper Kepez
Journal:  Wien Klin Wochenschr       Date:  2016-06-07       Impact factor: 1.704

2.  QRS Complex Detection and Measurement Algorithms for Multichannel ECGs in Cardiac Resynchronization Therapy Patients.

Authors:  Antonia E Curtin; Kevin V Burns; Alan J Bank; Theoden I Netoff
Journal:  IEEE J Transl Eng Health Med       Date:  2018-06-05       Impact factor: 3.316

3.  Body Surface Potential Mapping: Contemporary Applications and Future Perspectives.

Authors:  Jake Bergquist; Lindsay Rupp; Brian Zenger; James Brundage; Anna Busatto; Rob S MacLeod
Journal:  Hearts (Basel)       Date:  2021-11-05

4.  Myocardial Ischemia Detection Using Body Surface Potential Mappings and Machine Learning.

Authors:  James N Brundage; Vai Suliafu; Jake A Bergquist; Brian Zenger; Lindsay C Rupp; Bao Wang; Rob MacLeod
Journal:  Comput Cardiol (2010)       Date:  2021-09

5.  ST-segment changes in high-resolution body surface potential maps measured during exercise to assess myocardial ischemia: a pilot study.

Authors:  Michał Kania; Rajmund Zaczek; Heriberto Zavala-Fernandez; Dariusz Janusek; Małgorzata Kobylecka; Leszek Królicki; Grzegorz Opolski; Roman Maniewski
Journal:  Arch Med Sci       Date:  2014-07-02       Impact factor: 3.318

6.  ECG-Based Detection of Early Myocardial Ischemia in a Computational Model: Impact of Additional Electrodes, Optimal Placement, and a New Feature for ST Deviation.

Authors:  Axel Loewe; Walther H W Schulze; Yuan Jiang; Mathias Wilhelms; Armin Luik; Olaf Dössel; Gunnar Seemann
Journal:  Biomed Res Int       Date:  2015-10-26       Impact factor: 3.411

7.  Improving the Diagnosis of Culprit Left Circumflex Occlusion With Acute Myocardial Infarction in Patients With a Nondiagnostic 12-Lead ECG at Presentation: A Retrospective Cohort Study.

Authors:  Michael J Daly; Peter J Scott; Mark T Harbinson; Jennifer A Adgey
Journal:  J Am Heart Assoc       Date:  2019-03-05       Impact factor: 5.501

  7 in total

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