摘要
目的研究直肠癌患者术后切口感染的病原学特点与影响因素,进而有针对性的采取相应措施减少直肠癌患者术后的感染。方法选取2003年1月-2014年11月在医院接受治疗的180例直肠癌患者临床资料进行研究,使用ATB细菌鉴定仪对病原菌进行鉴定,用χ2检验对单因素进行分析,再选择有差异的因素进行logistic回归分析。结果 180例直肠癌患者术后发生切口感染30例,感染率为16.7%;共检出35株病原菌,排前3位的病原菌分别为大肠埃希菌、金黄色葡萄球菌、粪肠球菌,分别占48.6%、14.2%、11.4%;单因素分析显示,有糖尿病、术后造痿以及手术时间长患者术后切口感染率较高,差异有统计学意义(P<0.05);经logistic回归分析,手术持续时间长及有糖尿病为直肠癌患者手术切口感染的独立危险因素,差异有统计学意义(P<0.05)。结论直肠癌患者术后切口感染的病原菌主要为大肠埃希菌,经过对相关因素进行分析,应采取一定措施减少直肠癌患者术后切口感染的发生。
OBJECTIVE To research pathogen characteristics and influencing factors for incision infections in rectal cancer patients so as to take measures to reduce the incision infections .METHODS Totally 180 cases of rectal canc‐er patients who received treatment in hospital from Jan .2003 to Nov .2014 were chosen as study objects .ATB bacteria analyzer was adopted to identify pathogens .χ2 method was used to analyze the univariate factor ,and lo‐gistic regression analysis was conducted to different factors .RESULTS Totally 30 cases of patients emerged incision infections after operations and the infection rate was 16 .7% .A total of 35 strains of pathogenic bacteria were de‐tected .The top three infectious bacteria were Escherichia coli （48 .6% ） ,Staphylococcus aureus （14 .2% ） ,and Fecal enterococci （11 .4% ） .Univariate factor analysis found that the history of diabetes ,postoperative flaccidity and long surgery time were risk factors for incision infection and the differences were significant （P〈0 .05） .Lo‐gistic regression analysis found that long surgery time and diabetes were independent risk factors for incision infec‐tion for patients with rectal cancer surgery （P〈0 .05） .CONCLUSION The pathogens causing incision infection in patients with rectal cancer surgeries are mainly Escherichia coli .After the analysis of related factors ,we know that certain measures should be taken to reduce the incision infections after rectal cancer surgery .
出处
《中华医院感染学杂志》
CAS
CSCD
北大核心
2015年第20期4748-4750,共3页
Chinese Journal of Nosocomiology
基金
浙江省自然科学基金资助项目(Y2091159Y2091200)
关键词
直肠癌
感染
病原学
影响因素
Rectal cancer
Infection
Etiology
Influencing factors
