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Cited by 609

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Testing of Low-Risk Patients Presenting to the Emergency Department With Chest Pain: A Scientific Statement From the American Heart Association

Open access
Amsterdam, Ezra A., Kirk, J. Douglas, Bluemke, David A., Diercks, Deborah, Farkouh, Michael E., Garvey, J. Lee, Kontos, Michael C., McCord, James, Miller, Todd D., Morise, Anthony, Newby, L. Kristin, Ruberg, Frederick L., Scordo, Kristine Anne, Thompson, Paul D., on behalf of the American Heart Association Exercise, Cardiac Rehabilitation, and Prevention Committee of the Council on Clinical Cardiology, Council on Cardiovascular Nursing, and Interdisciplinary Council on Quality of Care and Outcomes Research·2010·Circulation

Abstract

The management of low-risk patients presenting to emergency departments is a common and challenging clinical problem entailing 8 million emergency department visits annually. Although a majority of these patients do not have a life-threatening condition, the clinician must distinguish between those who require urgent treatment of a serious problem and those with more benign entities who do not require admission. Inadvertent discharge of patients with acute coronary syndrome from the emergency department is associated with increased mortality and liability, whereas inappropriate admission of patients without serious disease is neither indicated nor cost-effective. Clinical judgment and basic clinical tools (history, physical examination, and electrocardiogram) remain primary in meeting this challenge and affording early identification of low-risk patients with chest pain. Additionally, established and newer diagnostic methods have extended clinicians' diagnostic capacity in this setting. Low-risk patients presenting with chest pain are increasingly managed in chest pain units in which accelerated diagnostic protocols are performed, comprising serial electrocardiograms and cardiac injury markers to exclude acute coronary syndrome. Patients with negative findings usually complete the accelerated diagnostic protocol with a confirmatory test to exclude ischemia. This is typically an exercise treadmill test or a cardiac imaging study if the exercise treadmill test is not applicable. Rest myocardial perfusion imaging has assumed an important role in this setting. Computed tomography coronary angiography has also shown promise in this setting. A negative accelerated diagnostic protocol evaluation allows discharge, whereas patients with positive findings are admitted. This approach has been found to be safe, accurate, and cost-effective in low-risk patients presenting with chest pain.

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Crossref · 10.1161/cir.0b013e3181ec61df

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Metadata

Authors
Amsterdam, E. A., Kirk, J. D., Bluemke, D. A., Diercks, D., Farkouh, M. E., Garvey, J. L., Kontos, M. C., McCord, J., Miller, T. D., Morise, A., Newby, L. K., Ruberg, F. L., Scordo, K. A., Thompson, P. D., & on behalf of the American Heart Association Exercise, C. R.
Venue
Circulation
Published
2010-10-26
Volume
122
Issue
17
Pages
1756-1776
ISSN
  • 0009-7322 (ISSN-L)
  • 1524-4539
OpenAlex
W2114446440
Cited by
609
References
3
FWCI
33.75
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Testing of Low-Risk Patients Presenting to the Emergency Department With Chest Pain: A Scientific Statement From the American Heart Association. https://app.cochat.ai/papers/10.1161/cir.0b013e3181ec61df
The paper
Amsterdam, E. A., Kirk, J. D., Bluemke, D. A., Diercks, D., Farkouh, M. E., Garvey, J. L., Kontos, M. C., McCord, J., Miller, T. D., Morise, A., Newby, L. K., Ruberg, F. L., Scordo, K. A., Thompson, P. D., & on behalf of the American Heart Association Exercise, C. R. (2010). Testing of Low-Risk Patients Presenting to the Emergency Department With Chest Pain: A Scientific Statement From the American Heart Association. Circulation. https://doi.org/10.1161/cir.0b013e3181ec61df

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.