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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| Format: | Article |
| Language: | English |
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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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| author | Yuwares Sittichanbuncha Patchaya Sanpha-asa Theerayut Thongkrau Chaiyapon Keeratikasikorn Noppadol Aekphachaisawat Kittisak Sawanyawisuth |
| author_facet | Yuwares Sittichanbuncha Patchaya Sanpha-asa Theerayut Thongkrau Chaiyapon Keeratikasikorn Noppadol Aekphachaisawat Kittisak Sawanyawisuth |
| author_sort | Yuwares Sittichanbuncha |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-4a881c30080a457ca113cbe13eeddae2 |
| institution | Kabale University |
| issn | 2090-2840 2090-2859 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Emergency Medicine International |
| spelling | doaj-art-4a881c30080a457ca113cbe13eeddae22025-02-03T07:24:32ZengWileyEmergency Medicine International2090-28402090-28592015-01-01201510.1155/2015/413047413047An Online Tool for Nurse Triage to Evaluate Risk for Acute Coronary Syndrome at Emergency DepartmentYuwares Sittichanbuncha0Patchaya Sanpha-asa1Theerayut Thongkrau2Chaiyapon Keeratikasikorn3Noppadol Aekphachaisawat4Kittisak Sawanyawisuth5Emergency Medicine Department, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok 10400, ThailandEmergency Medicine Department, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok 10400, ThailandDepartment of Computer Sciences, Faculty of Sciences, Khon Kaen University, Khon Kaen 40002, ThailandDepartment of Computer Sciences, Faculty of Sciences, Khon Kaen University, Khon Kaen 40002, ThailandCentral Library, Silpakorn University, Bangkok 10200, ThailandDepartment of Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen 40002, ThailandBackground. 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.http://dx.doi.org/10.1155/2015/413047 |
| spellingShingle | Yuwares Sittichanbuncha Patchaya Sanpha-asa Theerayut Thongkrau Chaiyapon Keeratikasikorn Noppadol Aekphachaisawat Kittisak Sawanyawisuth An Online Tool for Nurse Triage to Evaluate Risk for Acute Coronary Syndrome at Emergency Department Emergency Medicine International |
| title | An Online Tool for Nurse Triage to Evaluate Risk for Acute Coronary Syndrome at Emergency Department |
| title_full | An Online Tool for Nurse Triage to Evaluate Risk for Acute Coronary Syndrome at Emergency Department |
| title_fullStr | An Online Tool for Nurse Triage to Evaluate Risk for Acute Coronary Syndrome at Emergency Department |
| title_full_unstemmed | An Online Tool for Nurse Triage to Evaluate Risk for Acute Coronary Syndrome at Emergency Department |
| title_short | An Online Tool for Nurse Triage to Evaluate Risk for Acute Coronary Syndrome at Emergency Department |
| title_sort | online tool for nurse triage to evaluate risk for acute coronary syndrome at emergency department |
| url | http://dx.doi.org/10.1155/2015/413047 |
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