摘要
目的分析妇科恶性肿瘤术后患者盆腔感染的危险因素,构建预测模型。方法采用便利抽样法,收集2018年6月—2020年6月在山西省人民医院完成妇科恶性肿瘤手术的278例患者的临床资料,根据术后是否发生盆腔感染分为感染组(n=29)和非感染组(n=249)。采用单因素和二项Logistic回归分析探讨妇科恶性肿瘤术后盆腔感染的危险因素,采用ROC曲线分析预测模型的预测价值。结果278例妇科恶性肿瘤术后患者盆腔感染的发生率为10.43%(29/278)。二项Logistic回归分析显示:是否有糖尿病、是否有慢性盆腔痛、是否有术前盆腔感染史、手术方式、手术持续时间、住院时间是妇科恶性肿瘤术后盆腔感染的影响因素(P<0.05)。ROC曲线分析显示:糖尿病、慢性盆腔痛、术前盆腔感染史、手术方式、手术持续时间、住院时间对妇科恶性肿瘤术后盆腔感染均具有一定的预测价值,而联合应用对妇科恶性肿瘤术后盆腔感染的预测价值高于各指标单独应用,ROC曲线下面积为0.821(95%置信区间:0.729~0.915),准确度为0.817。结论是否有糖尿病、是否有慢性盆腔痛、是否有术前盆腔感染史、手术方式、手术持续时间、住院时间是妇科恶性肿瘤术后盆腔感染的影响因素,基于以上因素建立的联合预测模型具有较好的预测能力。
Objective To analyze the risk factors of pelvic infection after gynecological malignant tumor surgery and construct a predictive model.Methods The convenient sampling method was used to collect the clinical data of 278 patients who underwent gynecological malignant tumor surgery in Shanxi Provincial People's Hospital from June 2018 to June 2020.According to the occurrence of postoperative pelvic infection,the patients were divided into the infection group(n=29)and the non-infection group(n=249).Univariate and binomial Logistic regression analysis was used to investigate the risk factors of pelvic infection after gynecological malignant tumor surgery,and ROC curve was used to analyze the predictive value of the prediction model.Results The incidence of pelvic infection in 278 patients with gynecological malignancies after surgery was 10.43%(29/278).Binary logistic regression analysis showed that whether there were diabetes,chronic pelvic pain,history of preoperative pelvic infection and operation method,operation duration,and hospital stay were the influencing factors of pelvic infection after gynecological malignant tumor surgery(P<0.05).ROC curve analysis showed that diabetes mellitus,chronic pelvic pain,history of preoperative pelvic infection,surgical method,surgical duration and length of hospital stay all had certain predictive value for pelvic infection after gynecological malignant tumor surgery,while the predictive value of combined application was higher than that of each index alone.The area under the ROC curve was 0.821(95%CI:0.729-0.915),and the accuracy was 0.817.Conclusions The presence of diabetes mellitus,chronic pelvic pain,preoperative history of pelvic infection,surgical method,duration of surgery and length of hospital stay are the influential factors for pelvic infection after gynecological malignant tumor surgery.The combined prediction model established based on the above factors has good prediction ability.
作者
李静萍
冯勤梅
杨芳
Li Jingping;Feng Qinmei;Yang Fang(Department of Gynecology,Shanxi Provincial People's Hospital,Taiyuan 030002,China)
出处
《中华现代护理杂志》
2021年第35期4824-4828,共5页
Chinese Journal of Modern Nursing
基金
山西省科技厅自然科学基金(201701D121156)。
关键词
盆腔感染
妇科恶性肿瘤术后
危险因素
预测模型
Pelvic infection
After Gynecological malignant tumor surgery
Risk factors
Predictive model
