Literature DB >> 23066910

Prehospital electrocardiographic computer identification of ST-segment elevation myocardial infarction.

Mary Colleen Bhalla1, Francis Mencl, Mikki Amber Gist, Scott Wilber, Jon Zalewski.   

Abstract

BACKGROUND: Identifying ST-segment elevation myocardial infarctions (STEMIs) in the field can decrease door-to-balloon times. Paramedics may use a computer algorithm to help them interpret prehospital electrocariograms (ECGs). It is unknown how accurately the computer can identify STEMIs.
OBJECTIVES: To Determine the sensitivity and specificity of prehospital ECGs in identifying patients with STEMI.
METHODS: Retrospective cross-sectional study of 200 prehospital ECGs acquired using Lifepak 12 monitors and transmitted by one of more than 20 emergency medical services (EMS) agencies to the emergency department (ED) of a Summa Akron City Hospital, a level 1 trauma center between January 1, 2007, and February 18, 2010. The ED sees more than 73,000 adult patients and treats 120 STEMIs annually. The laboratory performs 3,400 catheterizations annually. The first 100 patients with a diagnosis of STEMI and cardiac catheterization laboratory activation from the ED were analyzed. For comparison, a control group of 100 other ECGs from patients without a STEMI were randomly selected from our Medtronic database using a random-number generator. For patients with STEMI, an accurate computer interpretation was "acute MI suspected." Other interpretations were counted as misses. Specificity and sensitivity were calculated with confidence intervals (CIs). The sample size was determined a priori for a 95% CI of ±10%.
RESULTS: Zero control patients were incorrectly labeled "acute MI suspected." The specificity was 100% (100/100; 95% CI 0.96-1.0), whereas the sensitivity was 58% (58/100; 95% CI 0.48-0.67). This would have resulted in 42 missed cardiac catheterization laboratory activations, but zero inappropriate activations. The most common incorrect interpretation of STEMI ECGs by the computer was "data quality prohibits interpretation," followed by "abnormal ECG unconfirmed."
CONCLUSIONS: Prehospital computer interpretation is not sensitive for STEMI identification and should not be used as a single method for prehospital activation of the cardiac catheterizing laboratory. Because of its high specificity, it may serve as an adjunct to interpretation.

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Year:  2012        PMID: 23066910     DOI: 10.3109/10903127.2012.722176

Source DB:  PubMed          Journal:  Prehosp Emerg Care        ISSN: 1090-3127            Impact factor:   3.077


  8 in total

1.  Normal prehospital electrocardiography is linked to long-term survival in patients presenting to the emergency department with symptoms of acute coronary syndrome.

Authors:  Jessica K Zègre-Hemsey; Claire E Sommargren; Josephine K Asafu-Adjei; Barbara J Drew
Journal:  J Electrocardiol       Date:  2015-02-02       Impact factor: 1.438

2.  A Statewide Assessment of Prehospital Electrocardiography Approaches of Acquisition and Interpretation for ST-Elevation Myocardial Infarction Based on Emergency Medical Services Characteristics.

Authors:  Jessica K Zègre-Hemsey; Mehul D Patel; Antonio R Fernandez; Michele M Pelter; Jane Brice; Wayne Rosamond
Journal:  Prehosp Emerg Care       Date:  2019-10-31       Impact factor: 3.077

3.  Electrocardiographic diagnosis of ST segment elevation myocardial infarction: An evaluation of three automated interpretation algorithms.

Authors:  J Lee Garvey; Jessica Zegre-Hemsey; Richard Gregg; Jonathan R Studnek
Journal:  J Electrocardiol       Date:  2016-05-02       Impact factor: 1.438

Review 4.  Telemedicine in pre-hospital care: a review of telemedicine applications in the pre-hospital environment.

Authors:  Ahjoku Amadi-Obi; Peadar Gilligan; Niall Owens; Cathal O'Donnell
Journal:  Int J Emerg Med       Date:  2014-07-05

5.  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 6.  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

7.  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

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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