ArticleOpen access emergency medicine : OAEM2023
Accuracy of Trauma on Scene Triage Screening Tool (Shock Index, Reverse Shock Index Glasgow Coma Scale and National Early Warning Score) to Predict the Severity of Emergency Department Triage: A Retrospective Cross-Sectional Study.
Article in Open access emergency medicine : OAEM, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed.
- Composite shock indices with age, GCS, and SpO2 for trauma triage outcomes: a retrospective cohort study.European journal of medical research · 2025Article
- Shock index and early warning score in liver cancer rupture shock.World journal of gastrointestinal surgery · 2025Article
- Predictive performance of prehospital trauma triage tools for resuscitative interventions within 24 hours in high-risk or life-threatening prehospital trauma patients.BMC emergency medicine · 2025Article
- Predicting the Need for Tertiary Trauma Care Using a Multivariable Model: A 4-Year Retrospective Cohort Study.Archives of academic emergency medicine · 2025Article
- rSIG combined with NLR in the prognostic assessment of patients with multiple injuries.Open medicine (Warsaw, Poland) · 2025Article
- Smart Glasses with Augmented Reality Workflow; A Modern Tool for Triage in Mass Casualty Incidents.Archives of academic emergency medicine · 2025Article
- Comparison of the Reverse Shock Index Multiplied by Glasgow Coma Scale Score, MEWS, and qSOFA as Sepsis Screening Tools for Predicting Short-Term Outcomes.Open access emergency medicine : OAEM · 2025Article
- Delta shock index predicts injury severity, interventions, and outcomes in trauma patients: A 10-year retrospective observational study.World journal of critical care medicine · 2024Article
- Association Between Platelet-to-Lymphocyte Ratio and In-hospital Mortality in Elderly Patients with Severe Trauma.The western journal of emergency medicine · 2024Observational
- The implication of a translational triage tool in mass casualty incidents: part three: a multinational study, using validated patient cards.Scandinavian journal of trauma, resuscitation and emergency medicine · 2023Article
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6 authors.
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Abstract
Introduction: Prehospital trauma care includes on-scene assessments, essential treatment, and facilitating transfer to an appropriate trauma center to deliver optimal care for trauma patients. While the Simple Triage and Rapid Treatment (START), Revised Triage Sieve (rTS), and National Early Warning Score (NEWS) tools are user-friendly in a prehospital setting, there is currently no standardized on-scene triage protocol in Thailand Emergency Medical Service (EMS). Therefore, this study aims to evaluate the precision of these tools (SI, rSIG, and NEWS) in predicting the severity of trauma patients who are transferred to the emergency department (ED). Methods: This study was a retrospective cross-sectional and diagnostic research conducted on trauma patients transferred by EMS to the ED of Ramathibodi Hospital, a university-affiliated super tertiary care hospital in Bangkok, Thailand, from January 2015 to September 2022. We compared the on-scene triage tool (SI, rSIG, and NEWS) and ED triage tool (Emergency Severity Index) parameters, massive transfusion protocol (MTP), and intensive care unit (ICU) admission with the area under ROC (univariable analysis) and diagnostic odds ratio (multivariable logistic regression analysis). The optimal cut-off threshold for the best parameter was determined by selecting the value that produced the highest area under the ROC curve. Results: A total of 218 patients were traumatic patients transported by EMS to the ED, out of which 161 were classified as ESI levels 1-2, while the remaining 57 patients were categorized as levels 3-5 on the ESI triage scale. We found that NEWS was a more accurate triage tool to discriminate the severity of trauma patients than rSIG and SI. The area under the ROC was 0.74 (95% CI 0.70-0.79) (OR 18.98, 95% CI 1.06-337.25), 0.65 (95% CI 0.59-0.70) (OR 1.74, 95% CI 0.17-18.09) and 0.58 (95% CI 0.52-0.65) (OR 0.28, 95% CI 0.04-1.62), respectively (P-value <0.001). The cut point of NEWS to discriminate ESI levels 1-2 and levels 3-5 was >6 points. Conclusion: NEWS is the best on-scene triage screening tool to predict the severity at the emergency department, massive transfusion protocol (MTP), and intensive care unit (ICU) admission compared with other triage tools SI and rSIG.
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