【摘要】：目的:探討產(chǎn)褥期感染的危險因素,并建立logistic回歸預測模型,為臨床上預防和降低產(chǎn)婦產(chǎn)褥期感染提供依據(jù)。方法:回顧性分析1 026例產(chǎn)婦的臨床資料,采用單因素分析及多因素logistic回歸分析對產(chǎn)褥期感染的相關因素進行危險評估。結(jié)果:1 026例產(chǎn)婦中64例發(fā)生產(chǎn)褥期感染,感染率為6.24%。多因素logistic回歸分析結(jié)果顯示妊娠并發(fā)癥、產(chǎn)前貧血、陰道炎癥、產(chǎn)程、破膜時間、產(chǎn)后出血、侵入性操作為產(chǎn)褥期感染的危險因素(P0.05)。上述7種危險因素聯(lián)合檢測的ROC曲線下面積為0.819。結(jié)論:基于妊娠并發(fā)癥、產(chǎn)前貧血等7種危險因素建立的logistic回歸模型能較好地預測產(chǎn)褥期感染的發(fā)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.
【作者單位】： 鄭州人民醫(yī)院婦產(chǎn)科;
【分類號】：R714.62

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