Systematic review of ECG-based signal analysis technologies for evaluating patients with acute coronary syndrome

Coeytaux RR, Leisy PJ, Wagner GS, McBroom AJ, Green CL, Wing L, Irvine RJ, Sanders GD
Record ID 32013000041
English
Authors' objectives: To summarize the clinical and scientific evidence for commercially available ECG-based signal analysis technologies used or proposed to be used to evaluate patients at low to intermediate risk for coronary artery disease (CAD) who have chest pain or other symptoms suggestive of acute coronary syndrome (ACS).
Authors' recommendations: Existing research is largely insufficient to confidently inform the appropriate use of ECG-based signal analysis technologies in diagnosing CAD and/or ACS. Further research is needed to better describe the performance characteristics of these devices to determine in what circumstances, if any, these devices might precede, replace, or add to the standard ECG in test strategies to identify clinically significant CAD in the patient population of interest. To fully assess the impact of these devices on diagnostic strategies for patients with chest pain, test performance needs to be linked to clinically important outcomes through modeling or longitudinal studies.
Details
Project Status: Completed
Year Published: 2012
English language abstract: An English language summary is available
Publication Type: Not Assigned
Country: United States
MeSH Terms
  • Electrocardiography
Contact
Organisation Name: Agency for Healthcare Research and Quality
Contact Address: Center for Outcomes and Evidence Technology Assessment Program, 540 Gaither Road, Rockville, MD 20850, USA. Tel: +1 301 427 1610; Fax: +1 301 427 1639;
Contact Name: martin.erlichman@ahrq.hhs.gov
Contact Email: martin.erlichman@ahrq.hhs.gov
Copyright: Agency for Healthcare Research and Quality (AHRQ)
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