摘要
目的分析新生儿院内感染病原菌分布特点及危险因素。方法回顾性分析2013年1月至2017年1月1320例新生儿患儿中发生院内感染160例患儿的临床资料，分析院内感染类型、病原菌分布特点，并采用logistic归分析其发生的危险因素。结果新生儿院内感染率3．26％，感染类型以败血症和肺炎为主，分别占34．62％和19．23％，病原菌分布革兰阴性菌以大肠埃希菌、肺炎克雷伯菌为主，分别占17．44％、22．09％；革兰阳性菌以表皮葡萄球菌、金黄色葡萄球菌为主，分别占14．53％、8．14％。多因素logistic回归分析结果显示胎龄〈37周、出生体重〈1500g、窒息抢救史、住院时间≥7d、机械通气、肠外营养、侵袭性操作、使用抗生素和激素种类（≥2种）是院内感染的危险因素。结论新生儿院内感染主要病原菌肺炎克雷伯杆菌和大肠埃希菌，应严格控制院内感染并加强早产儿与极低出生体重儿的管理与防护。
Objective To analyze the distribution characteristics and risk factors of nosocomial infection pathogens in Neonatal department. Methods From January 2013 to January 2017 in our hospital Neonatal department, the clinical data of 1320 children patients were retrospectively analyzed, including 160 cases of nosocomial infection. The types, characteristics and distribution of pathogenic bacteria were analyzed, and logistic regression was used to analyze the risk factors. Results In our hospital Neonatal department the infection rate was 2.65% （ 130/4900 ） , and the types of infection were mainly sepsis and pneumonia, accounting for 34.62% and 19.23%, which pathogens of gram negative bacteria were Klebsiella pneumoniae and Escherichia coli, accounting for 17.44% and 22.09% respectively, while gram-positive bacteria were mainly staphylococcus epidermidis and staphylococcus cocci, accounting for 14.53% and 8.14% respectively. Logistic regression analysis showed that gestational age〈37 weeks, birth weight〈lS00g, asphyxia rescue history, hospitalization time （7d） , mechanical ventilation, parenteral nutrition, invasive operation and the use of antibiotics and hormones （ more than 2 types ） were all the risk factors for nosocomial infection. Conclusions The main pathogens in Neonatal department are Klebsiella pneumoniae and Escherichia coll. The control of nosocomial infection and the prevention of neonatal asphyxia are very important, as well as The management and protection ofpreterm and very low birth weight infants.
出处
《浙江临床医学》
2018年第3期485-486,共2页
Zhejiang Clinical Medical Journal
关键词
新生儿
院内感染
病原菌分布
危险因素
Neonate Nosocomial infection Pathogenic bacteria distribution Risk factors
