Bozorgi Farzad, Khatir Iraj Goli, Ghanbari Hesam, Jahanian Fatemeh, Arabi Mohsen, Ahidashti Hamed Amini, Hosseininejad Seyed Mohammad, Ramezani Mir Saeid, Montazer Seyed Hossein
Department of Emergency Medicine, Orthopedic Research Center, Faculty of Medicine, Mazandaran University of Medical Sciences, Sari, Iran.
Department of Emergency Medicine, Diabetes Research Center, Faculty of Medicine, Mazandaran University of Medical Sciences, Sari, Iran.
Open Access Maced J Med Sci. 2019 Mar 26;7(6):962-966. doi: 10.3889/oamjms.2019.217. eCollection 2019 Mar 30.
Death in multiple trauma (MT) patients is one of the serious concerns of the medical service provider. Any prediction of the likelihood of death on the assessment of the patient's condition is performed using different variables, one of the tools in the triage of patients to determine their condition.
We aimed to investigate the frequency and the predictive value of death in 24 hours triad of death in patients qualified with multiple traumas admitted to Imam Khomeini hospital.
This was a prospective cross-sectional study to determine the prevalence and predictive value of 24-hour triad of death among patients with MT referred to an emergency department. Three factors including acidosis, hypothermia and coagulopathy and predictive value of 24-hour death were evaluated. Arterial blood gas, oral temperature and blood samples for coagulation factors were analysed. Data were analysed using SPSS version 19. Multivariate analysis (logistic regression) was used to determine the predictive value of the triad of death.
A group of 199 MT patients referring to Imam Khomeini hospital during the first 6 months of 2015 were evaluated for the first 24 hours of admission. Logistic regression analysis showed that using the following formula based on the triad of death can predict death in 96% of cases can be based on the triad of a death foretold death upon admission to the emergency room. It should be noted that this prediction tool as 173 people left alive after 24 hours as live predicts (100% correct).
The triad of death is one of the tools in the triage of patients to determine their condition and care plan to be used, provided valuable information to predict the prognosis of patients with a medical team.
多发伤(MT)患者的死亡是医疗服务提供者严重关切的问题之一。在评估患者病情时,会使用不同变量对死亡可能性进行任何预测,这是对患者进行分诊以确定其病情的工具之一。
我们旨在调查入住伊玛目霍梅尼医院的多发伤患者24小时死亡三联征的发生频率及其预测价值。
这是一项前瞻性横断面研究,以确定转诊至急诊科的多发伤患者中24小时死亡三联征的患病率及其预测价值。评估了酸中毒、体温过低和凝血功能障碍这三个因素以及24小时死亡的预测价值。分析动脉血气、口腔温度和凝血因子血样。使用SPSS 19版进行数据分析。采用多变量分析(逻辑回归)来确定死亡三联征的预测价值。
对2015年前6个月转诊至伊玛目霍梅尼医院的199例多发伤患者入院后的前24小时进行了评估。逻辑回归分析表明,使用基于死亡三联征的以下公式可在96%的病例中预测死亡,可在患者入院至急诊室时根据死亡三联征预测死亡。应当指出,该预测工具对24小时后仍存活的173人预测准确(100%正确)。
死亡三联征是对患者进行分诊以确定其病情及应采用的护理计划的工具之一,能为医疗团队提供有价值的信息以预测患者预后。