Literature DB >> 21126612

Automated electrocardiogram interpretation programs versus cardiologists' triage decision making based on teletransmitted data in patients with suspected acute coronary syndrome.

Elaine N Clark1, Maria Sejersten, Peter Clemmensen, Peter W Macfarlane.   

Abstract

The aims of this study were to assess the effectiveness of 2 automated electrocardiogram interpretation programs in patients with suspected acute coronary syndrome transported to hospital by ambulance in 1 rural region of Denmark with hospital discharge diagnosis used as the gold standard and to assess the effectiveness of cardiologists' triage decisions for these patients based on initial electrocardiogram. Twelve-lead electrocardiograms were recorded in ambulances using a LIFEPAK 12 monitor/defibrillator (Physio-Control, Inc., Redmond, Washington) and transmitted digitally to an attending cardiologist. If a diagnosis of ST elevation myocardial infarction was made, a patient was taken to a regional interventional center for primary percutaneous coronary intervention or to a local hospital. One thousand consecutive digital electrocardiograms and corresponding interpretations from LIFEPAK 12 were available, and these were subsequently interpreted by the University of Glasgow program. Electrocardiogram interpretations and cardiologists' decisions were compared to hospital discharge diagnoses. The sensitivity, specificity, and positive predictive values for a report of ST elevation myocardial infarction with respect to discharge diagnosis were 78%, 91%, and 81% for LIFEPAK 12 and 78%, 94%, and 87% for the Glasgow program. Corresponding data for attending cardiologists were 85%, 90%, and 81%. In conclusion, the Glasgow program had significantly higher specificity than the LIFEPAK 12 program (p = 0.02) and the cardiologists (p = 0.004). Triage decisions were effective, with good agreement between cardiologists' decisions and discharge diagnoses.
Copyright © 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 21126612     DOI: 10.1016/j.amjcard.2010.07.047

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


  8 in total

1.  An artificial neural network to safely reduce the number of ambulance ECGs transmitted for physician assessment in a system with prehospital detection of ST elevation myocardial infarction.

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Journal:  Scand J Trauma Resusc Emerg Med       Date:  2012-02-01       Impact factor: 2.953

2.  ANMCO/AIIC/SIT Consensus Information Document: definition, precision, and suitability of electrocardiographic signals of electrocardiographs, ergometry, Holter electrocardiogram, telemetry, and bedside monitoring systems.

Authors:  Michele Massimo Gulizia; Giancarlo Casolo; Guerrino Zuin; Loredana Morichelli; Giovanni Calcagnini; Vincenzo Ventimiglia; Federica Censi; Pasquale Caldarola; Giancarmine Russo; Lorenzo Leogrande; Gian Franco Gensini
Journal:  Eur Heart J Suppl       Date:  2017-05-02       Impact factor: 1.803

3.  Late Outcomes of Patients With Prehospital ST-Segment Elevation and Appropriate Cardiac Catheterization Laboratory Nonactivation.

Authors:  Amir Faour; Reece Pahn; Callum Cherrett; Oliver Gibbs; Karen Lintern; Christian J Mussap; Rohan Rajaratnam; Dominic Y Leung; David A Taylor; Steven C Faddy; Sidney Lo; Craig P Juergens; John K French
Journal:  J Am Heart Assoc       Date:  2022-06-29       Impact factor: 6.106

Review 4.  Systematic Review and Meta-Analysis of Diagnostic Accuracy to Identify ST-Segment Elevation Myocardial Infarction on Interpretations of Prehospital Electrocardiograms.

Authors:  Akihito Tanaka; Kunihiro Matsuo; Migaku Kikuchi; Sunao Kojima; Hiroyuki Hanada; Toshiaki Mano; Takahiro Nakashima; Katsutaka Hashiba; Takeshi Yamamoto; Junichi Yamaguchi; Naoki Nakayama; Osamu Nomura; Tetsuya Matoba; Yoshio Tahara; Hiroshi Nonogi
Journal:  Circ Rep       Date:  2022-05-25

5.  Utility of prehospital electrocardiogram interpretation in ST-segment elevation myocardial infarction utilizing computer interpretation and transmission for interventional cardiologist consultation.

Authors:  Amir Faour; Callum Cherrett; Oliver Gibbs; Karen Lintern; Christian J Mussap; Rohan Rajaratnam; Dominic Y Leung; David A Taylor; Steve C Faddy; Sidney Lo; Craig P Juergens; John K French
Journal:  Catheter Cardiovasc Interv       Date:  2022-06-29       Impact factor: 2.585

Review 6.  Mobile, cloud, and big data computing: contributions, challenges, and new directions in telecardiology.

Authors:  Jui-Chien Hsieh; Ai-Hsien Li; Chung-Chi Yang
Journal:  Int J Environ Res Public Health       Date:  2013-11-13       Impact factor: 3.390

7.  Diagnostic Accuracy of the Deep Learning Model for the Detection of ST Elevation Myocardial Infarction on Electrocardiogram.

Authors:  Hyun Young Choi; Wonhee Kim; Gu Hyun Kang; Yong Soo Jang; Yoonje Lee; Jae Guk Kim; Namho Lee; Dong Geum Shin; Woong Bae; Youngjae Song
Journal:  J Pers Med       Date:  2022-02-23

8.  Systematic Review of Clinical Decision Support Systems for Prehospital Acute Coronary Syndrome Identification.

Authors:  Charles Richard Knoery; Janet Heaton; Rob Polson; Raymond Bond; Aleeha Iftikhar; Khaled Rjoob; Victoria McGilligan; Aaron Peace; Stephen James Leslie
Journal:  Crit Pathw Cardiol       Date:  2020-09
  8 in total

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