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Diagnostic Accuracy of Clinical Pathways for Suspected Acute Myocardial Infarction in the Out-of-Hospital Environment - 20/09/23

Doi : 10.1016/j.annemergmed.2023.04.010 
Abdulrhman Alghamdi, PhD a, b, Mark Hann, PhD c, Edward Carlton, MB ChB, PhD d, Jamie G. Cooper, MB ChB e, f, Eloïse Cook, PhD g, Angela Foulkes h, Aloysius N. Siriwardena, MBBS, PhD i, John Phillips j, Alexander Thompson, PhD c, Steve Bell, MSc k, Kim Kirby, PhD l, Andy Rosser, MSc m, Richard Body, MBChB, PhD g, n, o,
a College of Applied Medical Sciences, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia 
b King Abdullah International Medical Research Center, Riyadh, Saudi Arabia 
c Division of Population Health, Health Services Research & Primary Care, The University of Manchester, Manchester, United Kingdom 
d University of Bristol Medical School, Translational Health Sciences, Southmead Hospital Learning and Research, Bristol, United Kingdom 
e Emergency Department, Aberdeen Royal Infirmary, NHS Grampian, Aberdeen, United Kingdom 
f School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, United Kingdom 
g Emergency Department, Manchester University NHS Foundation Trust, Manchester, United Kingdom 
h Patient Representative, HeartHelp Support Group, Withington Methodist Church Building, Manchester, United Kingdom 
i Community and Health Research Unit, School of Health and Social Care, University of Lincoln, Lincoln, United Kingdom 
j The Ticker Club (A Cardiac Patient Support Group), Wythenshawe Hospital, Manchester, United Kingdom 
k Medical Directorate, North West Ambulance Service NHS Foundation Trust, Waterfront Way, Bolton, United Kingdom 
l Centre for Health and Clinical Research, School of Health and Social Wellbeing, University of the West of England, Glenside Bristol, United Kingdom 
m West Midlands Ambulance Service University NHS Foundation Trust, Waterfront Way, Brierley Hill, United Kingdom 
n Division of Cardiovascular Science, The University of Manchester, Manchester, United Kingdom 
o Manchester Metropolitan University, Manchester, United Kingdom 

Corresponding Author.

Abstract

Study objective

Chest pain is one of the most common reasons for emergency ambulance calls. Patients are routinely transported to the hospital to prevent acute myocardial infarction (AMI). We evaluated the diagnostic accuracy of clinical pathways in the out-of-hospital environment. The Troponin-only Manchester Acute Coronary Syndromes decision aid and History, ECG, Age, Risk Factors, Troponin score require cardiac troponin (cTn) measurement, whereas the History and ECG-only Manchester Acute Coronary Syndromes decision aid and History, ECG, Age, Risk Factors score do not.

Methods

We conducted a prospective diagnostic accuracy study at 4 ambulance services and 12 emergency departments between February 2019 and March 2020. We included patients who received an emergency ambulance response in whom paramedics suspected AMI. Paramedics recorded the data required to calculate each decision aid and took venous blood samples in the out-of-hospital environment. Samples were tested using a point-of-care cTn assay (Roche cobas h232) within 4 hours. The target condition was a diagnosis of type 1 AMI, adjudicated by 2 investigators.

Results

Of 817 included participants, 104 (12.8%) had AMI. Setting the cutoff at the lowest risk group, Troponin-only Manchester Acute Coronary Syndromes had 98.3% sensitivity (95% confidence interval 91.1% to 100%) and 25.5% specificity (21.4% to 29.8%) for type 1 AMI. History, ECG, Age, Risk Factors, Troponin had 86.4% sensitivity (75.0% to 98.4%) and 42.2% specificity (37.5% to 47.0%); History and ECG-only Manchester Acute Coronary Syndromes had 100% sensitivity (96.4% to 100%) and 3.1% specificity (1.9% to 4.7%), whereas History, ECG, Age, Risk Factors had 95.1% sensitivity (88.9% to 98.4%) and 12.1% specificity (9.8% to 14.8%).

Conclusion

With point-of-care cTn testing, decision aids can identify patients at a low risk of type 1 AMI in the out-of-hospital environment. When used alongside clinical judgment, and with appropriate training, such tools may usefully enhance out-of-hospital risk stratification.

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Plan


 Please see page 440 for the Editor’s Capsule Summary of this article.
 Supervising editor: Steve Goodacre, PhD. Specific detailed information about possible conflict of interest for individual editors is available at editors.
 Author contributions: All authors met the criteria for authorship, having been involved in the design and conduct of the research, interpretation of data and critical editing of the final manuscript. Steve Bell was not involved in the design but was involved in the remainder of the study. Mark Hann was responsible for statistical analyses. Richard Body takes overall responsibility for the data.
 Data sharing statement: Please contact Richard Body for any queries regarding access to data. Reasonable requests for anonymous (de-identified) participant data that are in accordance with relevant regulatory approvals will be granted, from the date of publication for a period of 5 years after study completion. These data are currently stored securely and, to date, have not been published in a public repository.
 Authorship: All authors attest to meeting the four ICMJE.org authorship criteria: (1) Substantial contributions to the conception or design of the work; or the acquisition, analysis, or interpretation of data for the work; AND (2) Drafting the work or revising it critically for important intellectual content; AND (3) Final approval of the version to be published; AND (4) Agreement to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.
 Funding and support: By Annals’ policy, all authors are required to disclose any and all commercial, financial, and other relationships in any way related to the subject of this article as per ICMJE conflict of interest guidelines (see www.icmje.org). Richard Body has undertaken consultancy with Roche, Abbott, Siemens, Beckman Coulter, Radiometer, Aptamer Group, and LumiraDx; has recent research grants with Abbott Point of Care and Siemens; and has conducted research involving donation of reagents by Roche. Abdulrhman Alghamdi received funding from Abbott Point of Care and received donation of reagents from Roche Diagnostics International Ltd and LumiraDx. Edward Carlton has received speaker honoraria from Roche Diagnostics and is a National Institute for Health Research Advanced Fellow. Jamie Cooper is supported by NHS Research Scotland. Alex Thompson has undertaken consultancy with Siemens and Perspectum. The other authors have stated that no such relationships exist. This study was funded by the National Institute for Health Research, Research for Patient Benefit scheme, research grant reference PB-PG-1216-20034. The views expressed are those of the author(s) and not necessarily those of the NIHR or the Department of Health and Social Care. Roche Diagnostics donated reagents for the purpose of this research.
 Trial registration number: NCT03561051.
 Readers: click on the link to go directly to a survey in which you can provide 3QRDMJ3 to Annals on this particular article.
 A podcast for this article is available at www.annemergmed.com.


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Vol 82 - N° 4

P. 439-448 - octobre 2023 Retour au numéro
Article précédent Article précédent
  • Man With Proptosis
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