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作 者:侯俊红 田甜[1] 孟瑞 HOU Junhong;TIAN Tian;MENG Rui(Henan Cancer Hospital,Zhengzhou,450000,China)
机构地区:[1]河南省肿瘤医院妇瘤科,河南省郑州市450000
出 处:《护理实践与研究》2021年第22期3369-3372,共4页Nursing Practice and Research
摘 要:目的调查宫颈癌术后医院感染的主要影响因素,分析其感染发生与炎性因子的相关性。方法选取2017—2020年医院行宫颈癌切除术患者108例,通过实验室分泌物涂片检查及细菌培养,发现存在指标意义的病原微生物,将阳性病例11例划分为感染组,感染率为10.19%;将阴性病例97例划分为非感染组,收集两组患者的资料和信息,采用多因素Logistic回归法,调查宫颈癌术后医院感染的独立危险因素,分析患者术后炎性因子水平变化。结果白蛋白水平<30 g/L、手术时间≥3 h、留置引流管≥7 d、留置尿管≥14 d是导致宫颈癌术后医院感染的独立危险因素(P<0.05)。结论白蛋白水平<30 g/L、手术时间≥3 h、留置引流管≥7 d、留置尿管≥14 d是导致宫颈癌术后医院感染发生的独立危险因素。临床护理应重视上述因素,采取相应预防干预措施,减少感染发生概率,促进疾病康复。Objective To investigate the main influencing factors of nosocomial infection in patients after undergoing cervical cancer surgery and analyze the correlation between the occurrence of infection and infl ammatory factors was set as the study subject.Methods A total of 108 patients undergoing cervical cancer resection in the hospital from 2017 to 2020 were selected.Through laboratory secretion smear examination and bacterial culture,pathogenic microorganisms with index signifi cance were found.11 positive cases were divided into an infection group,and the infection rate was 10.19%;97 negative cases were divided into a non-infected group.The data and information of two groups of patients were collected,and multivariate Logistic regression method was used to investigate independent risk factors for nosocomial infection after cervical cancer surgery,and analyze changes in postoperative inflammatory factor levels.Results The albumin level was<30 g/L,operation time was≥3 h,indwelling drainage tube was≥7 d,and indwelling urinary catheter was≥14 d were the independent risk factors leading to nosocomial infection after cervical cancer surgery(P<0.05).Conclusion:The albumin level was<30 g/L,operation time was≥3 h,indwelling drainage tube was≥7 d,and indwelling urinary catheter was≥14 d were the independent risk factors leading to nosocomial infection after cervical cancer surgery.Clinical nursing should pay attention to the above factors and adopt corresponding preventive intervention measures to reduce the probability of infection and promote disease recovery.
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