Jelodar Sina, Jafari Peyman, Yadollahi Mahnaz, Sabetian Jahromi Golnar, Khalili Hoseynali, Abbasi Hamidreza, Bolandparvaz Shahram, Paydar Shahram
Trauma Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Emerg (Tehran). 2014 Fall;2(4):170-3.
rauma has been recognized as one of the leading causes of death in many countries for decades. Reduction in mortality and morbidity rate of trauma cases is one of the most important attitudes in this field. Evaluation of different risk factors have been considered as the main goal of some studies. The purpose of this study was determining potential risk factors of death in trauma patients.
In a retrograde study, data of 740 patients admitted during three years (2009-2011) were studied. Demographic data (sex and age), clinical factors (blood pressure, pulse rate, respiratory rate, Glasgow coma scale (GCS)), trauma characteristics (location, type of injury, etc.), as well as outcome of patients were evaluated. Data analyses was done using SPSS 18.0. Stepwise multivariate regression analysis was used for recognition of independent predictive factors of death in multiple trauma patients.
Of those admitted, majority of patients were male (81.4%), 68% between 18 to 60 years, and 11.2% of them died during the course of treatment. Age; type of trauma; abnormal respiration rate, pulse rate, blood pressure; total GCS ≤8; abnormal pupil size; and head and neck; vertebral, and extremities fractures were obtained as significant predictive factor of death. GCS≤8, head and neck fracture, and abnormal pulse rate were independent death predictors.
We identified GCS≤8, head and neck fracture, and abnormal pulse rate as predictive factors of mortality after trauma, which remained independent in the presence of all other factors and potentially treatable.
几十年来,创伤一直被认为是许多国家主要的死亡原因之一。降低创伤病例的死亡率和发病率是该领域最重要的工作之一。评估不同的风险因素被一些研究视为主要目标。本研究的目的是确定创伤患者死亡的潜在风险因素。
在一项回顾性研究中,对三年(2009 - 2011年)期间收治的740例患者的数据进行了研究。评估了人口统计学数据(性别和年龄)、临床因素(血压、脉搏率、呼吸率、格拉斯哥昏迷量表(GCS))、创伤特征(部位、损伤类型等)以及患者的结局。使用SPSS 18.0进行数据分析。采用逐步多元回归分析来识别多发伤患者死亡的独立预测因素。
在这些收治的患者中,大多数为男性(81.4%),68%年龄在18至60岁之间,其中11.2%在治疗过程中死亡。年龄;创伤类型;呼吸率、脉搏率、血压异常;总GCS≤8;瞳孔大小异常;以及头颈部、脊椎和四肢骨折被确定为死亡的重要预测因素。GCS≤8、头颈部骨折和脉搏率异常是独立的死亡预测因素。
我们确定GCS≤8、头颈部骨折和脉搏率异常是创伤后死亡的预测因素,在存在所有其他因素的情况下这些因素仍然独立,并且有可能进行治疗。