Literature DB >> 23402376

Paramedic ability to recognize ST-segment elevation myocardial infarction on prehospital electrocardiograms.

Francis Mencl1, Scott Wilber, Jennifer Frey, Jon Zalewski, Jarrad Francis Maiers, Mary C Bhalla.   

Abstract

BACKGROUND: Identifying ST-segment elevation myocardial infarctions (STEMIs) by paramedics can decrease door-to-balloon times. While many paramedics are trained to obtain and interpret electrocardiograms (ECGs), it is unknown how accurately they can identify STEMIs.
OBJECTIVE: This study evaluated paramedics' accuracy in recognizing STEMI on ECGs when faced with potential STEMI mimics.
METHODS: This was a descriptive cohort study using a survey administered to paramedics. The survey contained questions about training, experience, and confidence, along with 10 ECGs: three demonstrating STEMIs (inferior, anterior, and lateral), two with normal results, and five STEMI mimics (left ventricular hypertrophy [LVH], ventricular pacing, left and right bundle branch blocks [LBBB, RBBB], and supraventricular tachycardia [SVT]). We calculated the overall sensitivity and specificity and the proportion correct with 95% confidence intervals (CIs).
RESULTS: We obtained 472 surveys from 30 municipal emergency medical services (EMS) agencies in five counties with 15 medical directors from seven hospitals. The majority (69%) reported ECG training within the preceding year, 31% within six months; and 74% were confident in recognizing STEMIs. The overall sensitivity and specificity for STEMI detection were 75% and 53% (95% CI 73%-77%, 51%-55%), respectively. Ninety-six percent (453/472, 95% CI 94%-98%) correctly identified the inferior myocardial infarction (MI), but only 78% (368/472, 94% CI 74%-82%) identified the anterior MI and 51% (241/472, 46%-56%) the lateral MI. Thirty-seven percent (173/472, 95% CI 32%-41%) of the paramedics correctly recognized LVH, 39% (184/472, 95% CI 35%-44%) LBBB, and 53% (249/472, 95% CI 48%-57%) ventricular pacing as not a STEMI. Thirty-nine percent (185/472, 95% CI 35%-44%) correctly identified all three STEMIs; however, only 3% of the paramedics were correct in all interpretations. The two normal ECGs were recognized as not a STEMI by 97% (459/472, 95% CI 95%-99%) and 100% (472/472, 95% CI 99%-100%). There was no correlation between training, experience, or confidence and accuracy in recognizing STEMIs.
CONCLUSIONS: Despite training and a high level of confidence, the paramedics in our study were only able to identify an inferior STEMI and two normal ECGs. Given the paramedics' low sensitivity and specificity, we cannot rely solely on their ECG interpretation to activate the cardiac catheterization laboratory. Future research should involve the evaluation of training programs that include assessment, initial training, testing, feedback, and repeat training.

Entities:  

Mesh:

Year:  2013        PMID: 23402376     DOI: 10.3109/10903127.2012.755585

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


  12 in total

1.  Additional Prehospital Problems.

Authors:  Udo Meißner
Journal:  Dtsch Arztebl Int       Date:  2017-02-03       Impact factor: 5.594

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.  Prehospital ECG with ST-depression and T-wave inversion are associated with new onset heart failure in individuals transported by ambulance for suspected acute coronary syndrome.

Authors:  Jessica K Zègre-Hemsey; Melanie Hogg; Jamie Crandell; Michele M Pelter; Len Gettes; Eugene H Chung; David Pearson; Pilar Tochiki; Jonathan R Studnek; Wayne Rosamond
Journal:  J Electrocardiol       Date:  2021-08-13       Impact factor: 1.438

4.  Predictors of Hyperkalemia among Patients on Maintenance Hemodialysis Transported to the Emergency Department by Ambulance.

Authors:  Amanda J Vinson; Wayel Zanjir; Megi Nallbani; Judah Goldstein; Janel Swain; David A Clark; Keigan M More; John R Manderville; Patrick T Fok; Hana Wiemer; Karthik K Tennankore
Journal:  Kidney360       Date:  2022-02-09

Review 5.  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

6.  ECG pre-hospital teletransmission by emergency teams staffed with an emergency physician and paramedics and its impact on transportation and hospital admission.

Authors:  Joanna Sowizdraniuk; Jacek Smereka; Jerzy Robert Ladny; Alexander Kaserer; Krzysztof Palimonka; Kurt Ruetzler; Agnieszka Skierczynska; Lukasz Szarpak
Journal:  Medicine (Baltimore)       Date:  2019-08       Impact factor: 1.889

7.  Prehospital identification of ST-segment elevation myocardial infarction and mortality (ANZACS-QI 61).

Authors:  Becky Yi-Wen Liao; Mildred Ai Wei Lee; Bridget Dicker; Verity F Todd; Ralph Stewart; Katrina Poppe; Andrew Kerr
Journal:  Open Heart       Date:  2022-01

8.  A comparison of direct and two-stage transportation of patients to hospital in Poland.

Authors:  Anna Rosiek; Aleksandra Rosiek-Kryszewska; Łukasz Leksowski; Krzysztof Leksowski
Journal:  Int J Environ Res Public Health       Date:  2015-04-24       Impact factor: 3.390

9.  Improving Electrocardiography Diagnostic Accuracy in Emergency Medical Services Personnel.

Authors:  Ashlay A Huitema; Mistre Alemayehu; Orna L Steiner; Rodrigo Bagur; Shahar Lavi
Journal:  CJC Open       Date:  2019-01-23

10.  Accuracy of ECG chest electrode placements by paramedics: an observational study.

Authors:  Pete Gregory; Tim Kilner; Stephen Lodge; Suzy Paget
Journal:  Br Paramed J       Date:  2021-05-01
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.