An Online Tool for Nurse Triage to Evaluate Risk for Acute Coronary Syndrome at Emergency Department
Background. To differentiate acute coronary syndrome (ACS) from other causes in patients presenting with chest pain at the emergency department (ED) is crucial and can be performed by the nurse triage. We evaluated the effectiveness of the ED nurse triage fo...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2015-01-01
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| Series: | Emergency Medicine International |
| Online Access: | http://dx.doi.org/10.1155/2015/413047 |
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| Summary: | Background. To differentiate acute coronary syndrome (ACS)
from other causes in patients presenting with chest pain at the emergency department
(ED) is crucial and can be performed by the nurse triage. We evaluated the effectiveness
of the ED nurse triage for ACS of the tertiary care hospital. Methods. We retrospectively
enrolled consecutive patients who were identified as ACS at risk patients by the ED nurse triage.
Patients were categorized as ACS and non-ACS group by the final diagnosis.
Multivariate logistic analysis was used to predict factors associated with ACS.
An online model predictive of ACS for the ED nurse triage was constructed. Results. There were
175 patients who met the study criteria. Of those, 28 patients (16.0%) were diagnosed with ACS.
Patients with diabetes, patients with previous history of CAD, and those who had at least one character
of ACS chest pain were independently associated with having ACS by multivariate logistic regression. The adjusted odds ratios
(95% confidence interval) were 4.220 (1.445, 12.327), 3.333 (1.040, 10.684), and 12.539 (3.876, 40.567), respectively.
Conclusions. The effectiveness of the ED nurse triage for ACS was 16%. The online tool is available for the ED triage nurse to evaluate risk of ACS in individuals. |
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| ISSN: | 2090-2840 2090-2859 |