Literature DB >> 17764456

Accuracy in ECG lead placement among technicians, nurses, general physicians and cardiologists.

R Rajaganeshan1, C L Ludlam, D P Francis, S V Parasramka, R Sutton.   

Abstract

The objective of the study was to determine the reliability of ECG precordial electrode placement by doctors and nurses involved in the emergency care of patients admitted with suspected cardiac diseases. A total of 120 subjects were recruited within 2 days from six hospitals. They comprised physicians, nurses and cardiac technicians involved in the clinical assessment and care of patients with suspected cardiac disease. Subjects were asked to complete a questionnaire and marked on two diagrams of the chest wall the positions they would place precordial electrodes V1-V6. This study showed wide inter-individual and inter-group variations in the placement of electrodes. Notably, V1 and V2 were frequently incorrectly positioned in the second intercostal space, especially by physicians. The correct position of V1 in the fourth right intercostal space was identified by 90% of cardiac technicians, 49% of nurses, 31% of physicians (excluding cardiologists) and--most disappointing of all--only 16% of cardiologists (p<0.001 for inter-group differences). V5 and V6 were also often mispositioned, too high on the lateral chest wall. Nurses and doctors (especially cardiologists) do not know the correct positions for ECG electrodes. Because incorrect positioning of the precordial electrodes changes the ECG significantly, patients are at risk of potentially harmful therapeutic procedures. Equally, doctors who are aware of the possibility of lead misplacement may be inclined to ignore some ECG changes that may be genuine evidence of ischaemia. The only safe solution is proper precordial electrode placement, which requires training and an environment supporting precision.

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Mesh:

Year:  2007        PMID: 17764456     DOI: 10.1111/j.1742-1241.2007.01390..x

Source DB:  PubMed          Journal:  Int J Clin Pract        ISSN: 1368-5031            Impact factor:   2.503


  15 in total

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2.  [Right bundle branch block during right ventricular pacing].

Authors:  Harilaos Bogossian; Fuad Hasan; Gerrit Frommeyer; Bernd Lemke; Markus Zarse
Journal:  Herzschrittmacherther Elektrophysiol       Date:  2017-03

3.  Association of Implementation of Practice Standards for Electrocardiographic Monitoring With Nurses' Knowledge, Quality of Care, and Patient Outcomes: Findings From the Practical Use of the Latest Standards of Electrocardiography (PULSE) Trial.

Authors:  Marjorie Funk; Kristopher P Fennie; Kimberly E Stephens; Jeanine L May; Catherine G Winkler; Barbara J Drew
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2017-02

Review 4.  Using the Apple Watch to Record Multiple-Lead Electrocardiograms in Detecting Myocardial Infarction: Where Are We Now?

Authors:  Ke Li; Abdelmotagaly Elgalad; Cristiano Cardoso; Emerson C Perin
Journal:  Tex Heart Inst J       Date:  2022-07-01

5.  The Reconstruction of a 12-Lead Electrocardiogram from a Reduced Lead Set Using a Focus Time-Delay Neural Network.

Authors:  Gerard H Smith; Dawie J Van den Heever; Wayne Swart
Journal:  Acta Cardiol Sin       Date:  2021-01       Impact factor: 2.672

6.  Telemedicine supported by Augmented Reality: an interactive guide for untrained people in performing an ECG test.

Authors:  Paolo Bifulco; Fabio Narducci; Raffaele Vertucci; Pasquale Ambruosi; Mario Cesarelli; Maria Romano
Journal:  Biomed Eng Online       Date:  2014-11-21       Impact factor: 2.819

7.  Assessing the knowledge of sudden unexpected death in the young among Canadian medical students and recent graduates: a cross-sectional study.

Authors:  Felicity F Huisma; James E Potts; Karen A Gibbs; Shubhayan Sanatani
Journal:  BMJ Open       Date:  2012-12-14       Impact factor: 2.692

8.  The effect of precordial lead displacement on ECG morphology.

Authors:  Michał Kania; Hervé Rix; Małgorzata Fereniec; Heriberto Zavala-Fernandez; Dariusz Janusek; Tomasz Mroczka; Günter Stix; Roman Maniewski
Journal:  Med Biol Eng Comput       Date:  2013-10-19       Impact factor: 2.602

9.  Mobile Personal Health Monitoring for Automated Classification of Electrocardiogram Signals in Elderly.

Authors:  Luis J Mena; Vanessa G Félix; Alberto Ochoa; Rodolfo Ostos; Eduardo González; Javier Aspuru; Pablo Velarde; Gladys E Maestre
Journal:  Comput Math Methods Med       Date:  2018-05-29       Impact factor: 2.238

10.  Normal electrocardiogram values of healthy children.

Authors:  Özgün Uygur; Ayvaz Aydoğdu
Journal:  Turk Pediatri Ars       Date:  2019-07-11
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