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外科病房医院感染相关危险因素的Logistic回归分析 被引量:6

Logistic Regression Analysis on Risk Factors of Nosocomial Infection in Surgical Wards
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摘要 目的:探讨外科病房医院感染的相关危险因素,为临床的外科病房进行医院感染的防控提供理论支持。方法:选取本院外科病房住院进行手术治疗的8046例患者作为本研究的研究对象,其中发生医院感染253例,采用目标监测的调查研究方法,对患者进行医院感染相关危险因素的问卷调查,对外科病房医院感染相关危险因素进行单因素和多因素非条件Logistic回归分析。结果:单因素Logistic回归分析发现年龄、治疗专科(心胸外科)、治疗专科(神经外科)、入住ICU病房、急诊手术、住院治疗天数、气管插管全麻醉、切口类型(污染切口)、切口长度、侵袭性操作、侵袭性操作时间、抗菌药物治疗、术前抗菌药物治疗、术前抗菌药物治疗时间、术后抗菌药物治疗、术后抗菌药物治疗时间是医院感染的相关危险因素(P<0.05)。多因素Logistic回归分析发现年龄、治疗专科(心胸外科)、治疗专科(神经外科)、入住ICU病房、急诊手术、住院治疗天数、切口类型(污染切口)、切口长度、侵袭性操作、侵袭性操作时间、抗菌药物治疗均是医院感染的相关危险因素(P<0.05)。结论:外科病房医院感染是多种因素共同作用的结果,要针对外科病房医院感染相关危险因素制订相应的防治对策,对于降低医院感染率、防控外科病房医院感染的发生具有重要的意义。 Objective: To investigate the risk factors of nosocomial infection in surgical wards, and to provide the theoretical support for the prevention and control of nosocomial infection in the clinical surgical wards. Methods: 8046 cases of surgical treatment of surgical wards in our hospital were selected as the research objects of this study, among them, 253 cases were found with nosocomial infection. Objective monitoring was used to carry out questionnaire survey on the risk factors of nosocomial infection in patients. Single factor and multi factor non conditional Logistic regression analysis were used to select the risk factors of nosocomial infection in surgical wards. Results: Single factor Logistic regression analysis showed that age, treatment specialist(cardio-thoracic surgery), treatment specialist(neurosurgery), ICU, emergency surgery, hospitalization days of treatment, tracheal intubation general anaesthesia, incision type(pollution), incision length, invasive operation, invasive operation time, antibacterial therapy, preoperative antibiotic therapy, preoperative antibiotic treatment time, postoperative antibiotic therapy, postoperative antibiotic treatment time were the risk factors of nosocomial infection(P〈0.05). Muti factor Logistic regression analysis showed that age, treatment specialist(cardio-thoracic surgery), treatment specialist(neurosurgery), ICU, emergency surgery, hospitalization days of treatment, incision type(pollution), incision length, invasion operation, invasive operation time, antimicrobial treatment were the risk factors of nosocomial infection(P〈0.05). Conclusions: Nosocomial infection in surgery ward is the result of joint action of various factors, we should develop the corresponding prevention and control measures to against the risk factors of nosocomial infection in surgical wards, which has important significance to reduce the incidence of hospital infection, prevention and control of nosocomial infection.
出处 《现代生物医学进展》 CAS 2016年第25期4905-4908,共4页 Progress in Modern Biomedicine
关键词 外科 医院感染 危险因素 LOGISTIC回归分析 Surgery Nosocomial infection Risk factors Logistic regression analysis
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