摘要
目的分析慢性肾功能衰竭(CRF)血液透析患者发生医院感染病原菌分布与临床特征。方法选取2016年3月至2019年3月收治CRF血液透析患者438例,对其临床资料进行回顾性分析。结果438例慢性肾功能衰竭血液透析患者中发生医院感染247例,感染率为56.39%,呼吸道感染占据首位;247例感染患者共检出330株病原菌,革兰阴性菌172株(52.12%),革兰阳性菌115株(34.85%),真菌43株(13.03%),主要病菌依次为铜绿假单胞菌、肺炎克雷伯菌、金黄色葡萄球菌、肺炎链球菌、白假丝酵母菌;感染组各指标、CRP含量、住院时间、年龄与非感染组对比有统计学意义(P<0.05);尿病肾病、低蛋白血症、心功能不全、内瘘置管方式、透析年龄>1年、贫血、年龄≥60岁均是医院感染的危险因素。结论CRF血液透析患者医院感染病原菌很多,低蛋白血症、贫血等患者发生医院感染几率较高,临床应进行相应护理。
Objective To analyze the distribution and clinical characteristics of pathogens causing nosocomial infection in hemodialysis patients with chronic renal failure(CRF).Methods 438 CRF hemodialysis patients were selected from March 2016 to March 2019,and their clinical data were analyzed retrospectively.Results 247 cases of nosocomial infection occurred in 438 hemodialysis patients with chronic renal failure,the infection rate was 56.39%.Respiratory tract infection occupied the first place.330 pathogenic bacteria were detected in 247 infected patients,172 Gram-negative bacteria(52.12%),115 Gram-positive bacteria(34.85%)and 43 fungi(13.03%).The main pathogenic bacteria in turn were Gram-negative bacteria(52.12%),Gram-positive bacteria(34.85%).Pseudomonas aeruginosa,Klebsiella pneumoniae,Staphylococcus aureus,Streptococcus pneumoniae,Candida albicans;Infection group,CRP content,hospitalization time,age and non-infection group were significantly different(P<0.05);Urinary nephropathy,hypoproteinemia,cardiac insufficiency,internal fistula catheterization,dialysis age>1 year Anemia,age(>60)were risk factors for nosocomial infection.Conclusion There are many pathogens of nosocomial infection in patients with CRF hemodialysis,and the incidence of nosocomial infection in patients with hypoproteinemia and anemia is relatively high.
作者
高洁
常相帝
刘益涛
张敏
GAO Jie;CHANG Xiang-di;LIU Yi-tao;ZHANG Min(Department of nephrology,Affiliated Hospital of Binzhou Medical College,Binzhou,Shandong 256600)
出处
《智慧健康》
2019年第34期112-114,共3页
Smart Healthcare
关键词
血液透析
慢性肾功能衰竭
临床特征
病原菌分布
医院感染
Hemodialysis
Chronic renal failure
Clinical characteristics
Pathogen distribution
Hospital infection
