产褥期感染相关危险因素的评估
发布时间:2019-01-04 19:36
【摘要】:目的:探讨产褥期感染的危险因素,并建立logistic回归预测模型,为临床上预防和降低产妇产褥期感染提供依据。方法:回顾性分析1 026例产妇的临床资料,采用单因素分析及多因素logistic回归分析对产褥期感染的相关因素进行危险评估。结果:1 026例产妇中64例发生产褥期感染,感染率为6.24%。多因素logistic回归分析结果显示妊娠并发症、产前贫血、阴道炎症、产程、破膜时间、产后出血、侵入性操作为产褥期感染的危险因素(P0.05)。上述7种危险因素联合检测的ROC曲线下面积为0.819。结论:基于妊娠并发症、产前贫血等7种危险因素建立的logistic回归模型能较好地预测产褥期感染的发生。
[Abstract]:Objective: to explore the risk factors of puerperium infection and establish logistic regression prediction model to provide evidence for clinical prevention and reduction of puerperal infection. Methods: the clinical data of 1 026 cases of puerpera were analyzed retrospectively. The risk factors of puerperal infection were evaluated by univariate analysis and multivariate logistic regression analysis. Results: 64 cases of puerperal infection occurred in 1026 cases, the infection rate was 6.24%. Multivariate logistic regression analysis showed that pregnancy complications, antepartum anemia, vaginal inflammation, parturition, membrane breaking time, postpartum hemorrhage, invasive operation were the risk factors of puerperal infection (P0.05). The area under the ROC curve was 0.819. Conclusion: the logistic regression model based on seven risk factors, such as pregnancy complications and antepartum anemia, can better predict the occurrence of puerperium infection.
【作者单位】: 郑州人民医院妇产科;
【分类号】:R714.62
本文编号:2400703
[Abstract]:Objective: to explore the risk factors of puerperium infection and establish logistic regression prediction model to provide evidence for clinical prevention and reduction of puerperal infection. Methods: the clinical data of 1 026 cases of puerpera were analyzed retrospectively. The risk factors of puerperal infection were evaluated by univariate analysis and multivariate logistic regression analysis. Results: 64 cases of puerperal infection occurred in 1026 cases, the infection rate was 6.24%. Multivariate logistic regression analysis showed that pregnancy complications, antepartum anemia, vaginal inflammation, parturition, membrane breaking time, postpartum hemorrhage, invasive operation were the risk factors of puerperal infection (P0.05). The area under the ROC curve was 0.819. Conclusion: the logistic regression model based on seven risk factors, such as pregnancy complications and antepartum anemia, can better predict the occurrence of puerperium infection.
【作者单位】: 郑州人民医院妇产科;
【分类号】:R714.62
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