Yuksen Chaiyaporn, Angkoontassaneeyarat Chuenruthai, Thananupappaisal Sorawat, Laksanamapune Thanakorn, Phontabtim Malivan, Namsanor Pamorn
Department of Emergency Medicine, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Open Access Emerg Med. 2023 Mar 21;15:79-91. doi: 10.2147/OAEM.S403545. eCollection 2023.
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).
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.
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.
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.
院前创伤护理包括现场评估、基本治疗以及协助将患者转运至合适的创伤中心,以便为创伤患者提供最佳护理。虽然简单分诊与快速治疗(START)、修订分诊筛检表(rTS)和国家早期预警评分(NEWS)工具在院前环境中使用方便,但泰国紧急医疗服务(EMS)目前尚无标准化的现场分诊方案。因此,本研究旨在评估这些工具(SI、rSIG和NEWS)在预测转运至急诊科(ED)的创伤患者严重程度方面的准确性。
本研究是一项回顾性横断面诊断研究,研究对象为2015年1月至2022年9月期间由EMS转运至泰国曼谷一家大学附属超级三级护理医院拉玛蒂博迪医院急诊科的创伤患者。我们将现场分诊工具(SI、rSIG和NEWS)和急诊科分诊工具(急诊严重程度指数)参数、大量输血方案(MTP)以及重症监护病房(ICU)收治情况与ROC曲线下面积(单变量分析)和诊断比值比(多变量逻辑回归分析)进行了比较。通过选择产生最高ROC曲线下面积的值来确定最佳参数的最佳截断阈值。
共有218例创伤患者由EMS转运至急诊科,其中161例被归类为急诊严重程度指数(ESI)1-2级,其余57例患者在ESI分诊量表上被归类为3-5级。我们发现,与rSIG和SI相比,NEWS是一种更准确的分诊工具,用于区分创伤患者的严重程度。ROC曲线下面积分别为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)和0.58(95%CI 0.52-0.65)(OR 0.28,95%CI 0.04-1.62)(P值<0.001)。区分ESI 1-2级和3-5级的NEWS切点>6分。
与其他分诊工具SI和rSIG相比,NEWS是预测急诊科严重程度、大量输血方案(MTP)和重症监护病房(ICU)收治情况的最佳现场分诊筛查工具。