Care Models for Acute Chest Pain That Improve Outcomes and Efficiency: JACC State-of-the-Art Review.


Journal

Journal of the American College of Cardiology
ISSN: 1558-3597
Titre abrégé: J Am Coll Cardiol
Pays: United States
ID NLM: 8301365

Informations de publication

Date de publication:
14 06 2022
Historique:
received: 11 02 2022
revised: 30 03 2022
accepted: 30 03 2022
entrez: 9 6 2022
pubmed: 10 6 2022
medline: 14 6 2022
Statut: ppublish

Résumé

Existing assessment pathways for acute chest pain are often resource-intensive, prolonged, and expensive. In this review, the authors describe existing chest pain pathways and current issues at the patient and system level, and provide an overview of recent advances in chest pain research that could inform improved outcomes for both patients and health systems. There are multiple avenues to improve existing models of chest pain care, including novel risk stratification pathways incorporating highly sensitive point-of-care troponin assays; new devices available before first medical contact that could allow clinicians to access vital signs and electrocardiogram data; artificial intelligence and precision medicine tools that may guide indications for further testing; and strategies to improve hospital benchmarking and performance monitoring to standardize care. Improving the speed and accuracy of chest pain diagnosis and management should be a priority for researchers and is likely to translate to substantive benefits for patients and health systems.

Identifiants

pubmed: 35680185
pii: S0735-1097(22)04747-7
doi: 10.1016/j.jacc.2022.03.380
pii:
doi:

Substances chimiques

Biomarkers 0
Troponin 0

Types de publication

Journal Article Review Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

2333-2348

Informations de copyright

Copyright © 2022 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Funding Support and Author Disclosures Dr Dawson is supported by National Health and Medical Research Council of Australia (NHMRC) and National Heart Foundation (NHF) postgraduate scholarships. Dr Nehme is supported by an NHMRC/NHF early career fellowship. Dr Stub is supported by an NHF Fellowship (#105793). Dr Taylor is supported by an NHMRC Investigator grant. The authors have reported that they have no relationships relevant to the contents of this paper to disclose.

Auteurs

Luke P Dawson (LP)

Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia; Department of Cardiology, The Royal Melbourne Hospital, Melbourne, Victoria, Australia; Department of Cardiology, The Alfred Hospital, Melbourne, Victoria, Australia.

Karen Smith (K)

Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia; Ambulance Victoria, Melbourne, Victoria, Australia; Department of Paramedicine, Monash University, Melbourne, Victoria, Australia.

Louise Cullen (L)

Emergency and Trauma Centre, Royal Brisbane and Women's Hospital, Brisbane, Queensland, Australia.

Ziad Nehme (Z)

Ambulance Victoria, Melbourne, Victoria, Australia; Department of Paramedicine, Monash University, Melbourne, Victoria, Australia.

Jeffrey Lefkovits (J)

Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia; Department of Cardiology, The Royal Melbourne Hospital, Melbourne, Victoria, Australia.

Andrew J Taylor (AJ)

Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia; Department of Cardiology, The Alfred Hospital, Melbourne, Victoria, Australia.

Dion Stub (D)

Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia; Department of Cardiology, The Alfred Hospital, Melbourne, Victoria, Australia; Ambulance Victoria, Melbourne, Victoria, Australia. Electronic address: d.stub@alfred.org.au.

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Classifications MeSH