摘要
目的:通过多因素Logistic回归分析法探究和分析神经外科Ⅰ类切口手术患者术后颅内感染的危险因素,为降低术后颅内感染的发生提供参考。方法:收集2018年1月—2019年6月东南大学附属中大医院神经外科收治的574例行Ⅰ类切口手术患者的病历资料,采用多因素Logistic回归分析法分析患者术后颅内感染的相关危险因素。结果:574例患者中有37例发生颅内感染,感染率为6.45%;多因素Logistic回归分析结果显示,患者输血、住院时间≥30 d和留置引流管时间≥2 d与术后发生颅内感染具有相关性,构成独立危险因素(P<0.05)。结论:医务人员应充分认识和了解神经外科Ⅰ类切口手术患者颅内感染的相关危险因素,在围手术期最大可能地优化各项可调控因素,从而降低神经外科术后颅内感染的发生率。
Objective: To explore and analyze the risk factors of postoperative intracranial infection in patients undergoing type Ⅰ incision surgery in neurosurgery by multivariate Logistic regression analysis so as to provide reference for reducing the occurrence of postoperative intracranial infection. Methods: The medical records of 574 patients undergoing type Ⅰ incision surgery admitted to the neurosurgery department of Zhongda Hospital Affiliated to Southeast University from January 2018 to June 2019 were collected, and the risk factors related to postoperative intracranial infection were analyzed by multivariate Logistic regression analysis. Results: Among the 574 patients, 37 cases had intracranial infection, with an infection rate of 6.45%. Multivariate Logistic regression analysis showed that blood transfusion,hospitalization duration ≥30 d and time of indwelling drainage tube ≥2 d were correlated with postoperative intracranial infection, which constituted the independent risk factors(P<0.05). Conclusion: Medical staff should fully understand the risk factors of postoperative intracranial infection in patients undergoing type Ⅰ incision surgery in neurosurgery,and optimize various controllable factors as far as possible during the perioperative period so as to minimize the incidence of intracranial infection.
作者
展冠军
陆瑾
刘中秋
曹露露
马静
薛尧
ZHAN Guan-jun;LU Jin;LIU Zhong-qiu;CAO Lu-lu;MA Jing;XUE Yao(Department of Pharmacy,Zhongda Hospital Affiliated to Southeast University,Nanjing 210009,China)
出处
《抗感染药学》
2022年第2期264-268,共5页
Anti-infection Pharmacy
基金
江苏省药学会——奥赛康医院药学基金(编号:A201835)
南京市药学会项目(编号:2019YX027)。
关键词
神经外科
Ⅰ类切口
颅内感染
危险因素
防控措施
neurosurgery
typeⅠincision
intracranial infection
risk factor
prevention and treatment measure