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

Abstract

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.

• Authors: Luke P Dawson, Karen Smith, Louise Cullen, Ziad Nehme, Jeffrey Lefkovits, Andrew J Taylor, Dion Stub
• Journal: Journal of the American College of Cardiology (J Am Coll Cardiol) Vol. 79 Issue 23 Pg. 2333-2348 (06 14 2022) ISSN: 1558-3597 [Electronic] United States
• PMID: 35680185 (Publication Type: Journal Article, Review, Research Support, Non-U.S. Gov't)
• Copyright: Copyright © 2022 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

Chemical References

• Biomarkers
• Troponin

Topics

• Artificial Intelligence
• Biomarkers
• Chest Pain (diagnosis, etiology, therapy)
• Electrocardiography
• Emergency Service, Hospital
• Humans
• Troponin