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The article titled “Accuracy of Trauma On-Scene Triage Screening Tool: Shock Index, Reverse Shock Index Glasgow Coma Scale, and National Early Warning Score” evaluates the precision of different on-scene triage tools in predicting the severity of trauma patients transported to the emergency department (ED). The study focuses on three triage toolsโShock Index (SI), Reverse Shock Index Glasgow Coma Scale (rSIG), and the National Early Warning Score (NEWS)โand their ability to predict the severity of trauma, the need for massive transfusion protocol (MTP), and intensive care unit (ICU) admission. The results demonstrate that NEWS is the most effective tool for predicting trauma severity, MTP activation, and ICU admission compared to SI and rSIG.
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Earned Point(s): 0 of 0, (0) Which on-scene triage tool was found to be the most effective in predicting trauma severity? pg 79 What is the cut-off value for NEWS to predict severe trauma in the study? pg 79 True or False: The Shock Index (SI) was more accurate than NEWS in predicting ICU admission. pg 85 Which vital sign is NOT part of the National Early Warning Score (NEWS)? pg 87 True or False: Reverse Shock Index Glasgow Coma Scale (rSIG) showed better prediction accuracy than SI in predicting MTP activation. pg 85 What parameter is used to calculate the Shock Index (SI)? pg 81 Which of the following tools is NOT used for trauma triage in this study? pg 79 What is the specificity of the NEWS tool in predicting severe trauma (ESI levels 1-2)? pg 84 True or False: NEWS can be used by both basic and advanced life support teams. pg 87 What is the most common type of injury in the ESI levels 1-2 group? pg 82 Which triage tool has the highest sensitivity for predicting ICU admission? pg 86 True or False: The study found that the Shock Index (SI) was highly accurate for predicting MTP activation. pg 85 What was the primary objective of the study? pg 81 Which tool showed the highest predictive value for MTP activation in this study? pg 85 What statistical method was used to assess the predictive power of the triage tools? pg 83
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