Development of a Clinical Prediction Rule for 30-Day Cardiac Events in Emergency Department Patients With Chest Pain and Possible Acute Coronary Syndrome

2012 ◽  
Vol 59 (2) ◽  
pp. 115-125.e1 ◽  
Author(s):  
Erik P. Hess ◽  
Robert J. Brison ◽  
Jeffrey J. Perry ◽  
Lisa A. Calder ◽  
Venkatesh Thiruganasambandamoorthy ◽  
...  
2019 ◽  
Vol 18 (4) ◽  
pp. 289-298
Author(s):  
Sharon O’Donnell ◽  
Peter Monahan ◽  
Gabrielle McKee ◽  
Geraldine McMahon ◽  
Elizabeth Curtin ◽  
...  

Background: For patients with suspected acute coronary syndrome, international guidelines indicate that an Electrocardiogram (ECG) should be performed within 10 min of first medical contact, however success at achieving these guidelines is limited. Aims: The purpose of this study was to develop and perform initial testing of a clinical prediction rule embedded in a tablet application, and to expedite the identification of patients who require an electrocardiogram within 10 min. Methods: This derivation of the Acute Coronary Syndrome Application (AcSAP) comprised of three local studies, an unpublished audit and literature critique. The AcSAP was prospectively tested over four months in patients presenting to the Emergency Department (ED) of a Dublin teaching hospital. An audit form retrieved data pertaining to times of: registration to the emergency department, triage, first electrocardiogram and diagnosis. The AcSAP was subsequently evaluated by experienced triage nurses ( n=18) who had utilised it. Results: The AcSAP was activated 379 times. Patients with ST Elevation Myocardial Infarction (STEMI) and non-ST Elevation Myocardial Infarction (NSTEMI) were significantly more likely to return a categorisation of ‘immediate ECG’ or ‘ECG within 10 min’ ( p<0.001). There was a significant difference in ‘triage to ECG’ times across categories, the ‘immediate ECG’ categorisation resulting in the shortest time ( p=0.002). Evaluations suggest that staff found the tool quick and easy to use and results seemed accurate. Conclusion: Testing of the AcSAP suggests that it accurately identifies patients who require an ECG within 10 min. As such, it has the potential to support the meeting of clinical guidelines for ECG acquisition.


2005 ◽  
Vol 18 (5) ◽  
pp. 377-393
Author(s):  
Roshanak Aazami

Acute coronary syndrome remains a daunting health care problem in the United States. One third of emergency department patients with chest pain will eventually have a diagnosis of acute coronary syndrome. During the past decade, there have been many advances in the treatment of acute coronary syndrome as well as a widespread movement in emergency medicine to streamline the process of its treatment. Goals of emergency department care include rapid identification of patients with acute myocardial infarction, exclusion of causes of nonischemic chest pain, stratification of patients with acute coronary ischemia into low-risk and high-risk groups, and initiation of pharmacologic treatments. These goals will be discussed in this review, with particular emphasis on pharmacologic treatments.


CJEM ◽  
2008 ◽  
Vol 10 (04) ◽  
pp. 373-382 ◽  
Author(s):  
Erik P. Hess ◽  
Venkatesh Thiruganasambandamoorthy ◽  
George A. Wells ◽  
Patricia Erwin ◽  
Allan S. Jaffe ◽  
...  

ABSTRACTObjective:We sought to determine the diagnostic accuracy of clinical prediction rules to exclude acute coronary syndrome (ACS) in the emergency department (ED) setting.Methods:We searched MEDLINE, EMBASE, Web of Science and the Cochrane Database of Systematic Reviews. We contacted content experts to identify additional articles for review. Reference lists of included studies were hand searched. We selected articles for review based on the following criteria: 1) enrolled consecutive ED patients; 2) incorporated variables from the history or physical examination, electrocardiogram and cardiac biomarkers; 3) did not incorporate cardiac stress testing or coronary angiography into prediction rule; 4) based on original research; 5) prospectively derived or validated; 6) did not require use of a computer; and 7) reported sufficient data to construct a 2 ∞ 2 contingency table. We assessed study quality and extracted data independently and in duplicate using a standardized data extraction form.Results:Eight studies met inclusion criteria, encompassing 7937 patients. None of the studies verified the prediction rule with a reference standard on all or a random sample of patients. Six studies did not report blinding prediction rule assessors to reference standard results, and vice versa. Three prediction rules were prospectively validated. Sensitivities and specificities ranged from 94% to 100% and 13% to 57%, and positive and negative likelihood ratios from 1.1 to 2.2 and 0.01 to 0.17, respectively.Conclusion:Current prediction rules for ACS have substantial methodological limitations and have not been successfully implemented in the clinical setting. Future methodologically sound studies are needed to guide clinical practice.


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