摘要
目的探讨影响宫颈癌行广泛性子宫切除及盆腔淋巴结清扫术后发生尿路感染的因素,为临床治疗提供参考依据。方法收集2011年1月-2014年1月在医院因宫颈癌行广泛性子宫切除及盆腔淋巴结清扫术患者168例,分为感染组35例,未感染组133例;收集所有患者的临床资料,采用SPSS17.0软件进行统计分析。结果35例宫颈癌行广泛子宫切除或盆腔淋巴结清扫术患者出现尿路感染,感染率为20.8%;经单因素分析显示,影响尿路感染因素有手术切除范围广、有尿路感染/尿道功能障碍史和糖尿病史、导尿管留置时间长、年龄≥60岁和手术时间长等,差异有统计学意义(P<0.05)。结论宫颈癌行广泛性子宫切除及盆腔淋巴结清扫术后发生尿路感染的影响因素较多,应针对感染因素给予相应干预,可降低宫颈癌术后尿路感染风险。
OBJECTIVE To explore the influencing factors for urinary tract infections in the cervical cancer patients undergoing radical hysterectomy and pelvic lymphadenectomy so as to provide guidance for the clinical treatment . METHODS A total of 168 cervical cancer patients who underwent the radical hysterectomy and pelvic lymphade‐nectomy in the hospital from Jan 2011 to Jan 2014 were enrolled in the study and divided into the infection group with 35 cases and the non‐infection group with 133 cases ;the clinical data were collected from all the patients and statistically analyzed by using SPSS17 .0 software .RESULTS The urinary tract infections occurred in 35 cervical cancer patients undergoing the radical hysterectomy and pelvic lymphadenectomy , with the infection rate of 20 .8% .The univariate analysis indicated that the influencing factors for the urinary tract infections included the wide resection scope ,history of urinary tract infections or urethral dysfunction ,history of diabetic mellitus ,long‐term catheter indwelling ,no less than 60 years of age ,and long operation duration ,there was statistically signifi‐cant difference (P&lt;0 .05) .CONCLUSION There are a variety of influencing factors for the postoperative urinary tract infections in the cervical cancer patients undergoing the radical hysterectomy and pelvic lymphadenectomy .It is necessary to take corresponding intervention measures in response to the influencing factors so as to reduce the risk of postoperative urinary tract infections in the cervical cancer patients .
出处
《中华医院感染学杂志》
CAS
CSCD
北大核心
2014年第24期6208-6210,共3页
Chinese Journal of Nosocomiology
基金
中华医院感染控制研究基金项目(ZHYY-2011-037)
关键词
宫颈癌
尿路感染
因素分析
Cervical cancer
Urinary tract infection
Factor analysis