首页|子宫切除术后盆腔感染的危险因素调查及风险评估模型的构建

子宫切除术后盆腔感染的危险因素调查及风险评估模型的构建

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目的:探究子宫切除术后盆腔感染的危险因素,并构建风险评估模型.方法:选择2019年1月—2021年6月天津医院妇产科收治的子宫切除术患者共200例,回顾分析患者临床资料,统计术后盆腔感染患者例数,采用便利抽样法将其分为感染组、未感染组.采用单因素分析、多因素二类logistic回归分析筛选子宫切除术后盆腔感染的危险因素,并结合回归分析结果构建子宫切除术后盆腔感染风险评估模型,检验模型评估效果.结果:研究经诊断、统计得到,子宫切除术后盆腔感染患者共21例,发生率为10.50%;单因素分析得到,子宫切除术后盆腔感染危险因素有年龄、合并糖尿病、接受化疗、尿管留置时间、住院时间、抗菌药使用时间、抗菌药物种类、相关护理宣教,差异有统计学意义(x2=4.461、23.495、19.834、7.515、4.239、6.121、8.498、5.362,P<0.05);二类logistic回归分析结果显示,子宫切除术后盆腔感染的独立危险因素有年龄≥60岁、合并糖尿病、接受化疗、尿管留置时间≥7 d、抗菌药使用时间≥7 d、抗菌药物种类≥3种、未接受相关护理宣教,差异有统计学意义(P<0.05).研究基于回归分析预测法构建了子宫切除术后盆腔感染风险评估模型,分析评估模型ROC曲线,得到曲线下面积(AUC)为0.888,95%CI为0.849~0.927,最大约登指数为0.621,灵敏度、特异度分别为0.880、0.741;针对模型实施H-L拟合优度检验,结果显示模型在子宫切除术患者中拟合度良好,差异无统计学意义(x2=3.635,P=0.057);风险评估模型外部验证结果显示,模型评估准确率为95.56%.结论:子宫切除术后患者伴有不同程度的盆腔感染风险,且其危险因素复杂,研究根据回归分析结果构建的风险评估模型能实现对患者术后盆腔感染风险的有效识别,为临床预防护理提供参考.
Investigation of Risk Factors for Pelvic Infection After Hysterectomy and Construction of Risk Assessment Model
Objective:To investigate the risk factors for pelvic infection after hysterectomy and to construct a risk assessment model.Methods:A total of 200 cases of hysterectomy patients admitted to the hospital from January 2019 to June 2021 were selected and the clinical data of the patients were retrospectively analyzed to count the number of cases of patients with postoperative pelvic infections,which were classified into infected and uninfected groups using the convenience sampling method.The risk factors of pelvic infection after hysterectomy were screened using one-way analysis and multifactorial two-class logistic regression analysis,and the risk assessment model of pelvic infection after hysterectomy was constructed by combining the results of the regression analysis to test the effect of the model assessment.Results:The study was diagnosed and statistically obtained that there were 21 patients with pelvic infection after hysterectomy and the incidence rate was 10.50%.Univariate analysis showed that the risk factors for pelvic infection after hysterectomy were age,comorbidity with diabetes mellitus,receipt of chemotherapy,indwelling urinary catheter time,length of hospitalization,duration of antimicrobials,type of antimicrobials,and related nursing education,and the difference was statistically significant(x2=4.461,23.495,19.834,7.515,4.239,6.121,8.498,5.326;P<0.05).The results of two-class logistic regression analysis showed that the independent risk factors for pelvic infection after hysterectomy were age≥60 years,comorbid diabetes mellitus,receiving chemotherapy,indwelling urinary catheter≥7 d,antimicrobials≥7 d,antimicrobials≥3 types of medications,and not receiving relevant nursing education,and the difference was statistically significant(P<0.05).The study constructed a pelvic infection risk assessment model after hysterectomy based on the regression analysis prediction method,and analyzed the ROC curve of the assessment model,obtaining an area under the curve(AUC)of 0.888,a 95%CI of 0.849 to 0.927,a maximum Yoden index of 0.621,and a sensitivity and specificity of 0.880 and 0.741,respectively.The H-L goodness-of-fit test was implemented for the model,and the results showed that the model was well fitted in hysterectomy patients,and the difference was not statistically significant(x2=3.635,P=0.057).The results of the external validation of the risk assessment model showed that the accuracy of the model assessment was 95.56%.Conclusion:Post-hysterectomy patients are accompanied by different degrees of pelvic infection risk,and its risk factors are complex,the study based on the regression analysis results of the construction of the risk assessment model can realize the effective identification of the risk of postoperative pelvic infection of the patient,to provide a reference for clinical preventive care.

HysterectomyPelvic infectionRisk factorsRisk assessment

赵丽雅、郝洁倩、杨春颖

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天津医院妇产科,天津 300160

子宫切除术 盆腔感染 危险因素 风险评估

2024

黑龙江医学
中华医学会黑龙江分会

黑龙江医学

影响因子:0.714
ISSN:1004-5775
年,卷(期):2024.48(5)
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