摘要
目的调查分析甘肃陇东南地区的颅脑损伤流行病学现状及预后影响因素,为本地区颅脑损伤的预防与控制提供科学依据。方法收集2008年10月～2010年6月某医院神经外科颅脑损伤患者病历资料,填写《颅脑损伤流行病学调查表》,提取数据,用SPSS 17.0进行统计分析。结果共收集1014例颅脑损伤患者,男女性别比例为3.7∶1,年龄为34.3±19.7岁（1～83岁）,患者主要以初中以下文化程度农民为主;致伤机制以摔伤为主（406,40.0%）,其次为车祸（333,32.8%）,18～65岁组所占比例最高,每年春节所在月份发生颅脑损伤最多。等级回归分析显示就诊时间、受伤机制及程度等是影响颅脑损伤预后的重要因素。结论深入研究甘肃陇东南颅脑损伤的致伤原因、分布人群和发生时间的根本原因,提出针对性防控措施,降低颅脑损伤发生概率,并尽可能缩短损伤后就诊时间,提高本地区颅脑创伤救治整体水平。
Objective To investigate the epidemiology and prognostic factors for craniocerebral injury （CCI） in the southeast of Gansu Province, China, and to provide a scientific basis for the prevention and control of CCT. Methods The medical records of patients with CCI admitted to the department of neurosurgery in our hospital from October 2008 to June 2010 were collected. Data were extrac- ted using the questionnaire for epidemiological survey on CCI and were analyzed by SPSS 17. 0. Results A total of 1014 patients with CCI were enrolled in this study, with the male-female ratio being 3.7：1 and the mean age being 34.3 ±19.7 years （ 1 - 83 years）. Most of patients were farmers without junior middle school education. A leading cause of CCI was falls （406, 40.0% ）, followed by traffic accidents （333, 32.8% ） ; people aged 18 -65 years accounted for the largest proportion of individuals who suffered CCI due to each of the two causes. CCI occurred mostly around Spring Festival. Ordinal regression analysis showed that waiting time to see doctors and the mechanism and severity of injury were the significant prognostic factors for patients with CCI. Conclusions The in-depth in- vestigation of causes, population distribution, and time of occurrence of CCI in the southeast of Gansu Province is helpful to implement the specific prevention and control measures, reduce the probability of occurrence, shorten waiting time in hospitals, and improve the treatment level of CCI in this region.
出处
《国际神经病学神经外科学杂志》
2014年第4期320-323,共4页
Journal of International Neurology and Neurosurgery
关键词
陇东南地区
颅脑损伤
流行病学分析
Southeast of Gansu Province
Craniocerebral injury
Epidemiological analysis
