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(P<0.05)。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。
Aim： To discuss risk factors of puerperal infection and establish logistic regression prediction model,thus providing basis for clinical prevention and reduction of maternity puerperal infection. Methods： Clinical data of 1 026 parturients were retrospectively analyzed. Moreover,univariate analysis and multivariate analysis were adopted to evaluate the risk factors related to puerperal infection. Results： A total of 64 cases out of 1 026 parturients were infected during puerperium,with the infection rate of 6. 24%. Multivariate logistic regression analysis showed that pregnancy complications,prenatal anemia,vaginitis,birth process,rupture of membrane time,postpartum hemorrhage,invasive procedures were the risk factors（ P〈0. 05）. The area under ROC curve of combined detection of the seven serum markers was 0. 819. Conclusion： The logistic regression model based on seven risk factors,such as pregnancy complication and prenatal anemia,etc,could well predict puerperal infection.
出处
《郑州大学学报（医学版）》
CAS
北大核心
2017年第2期205-208,共4页
Journal of Zhengzhou University(Medical Sciences)
关键词
产妇
产褥期感染
危险因素
parturient
puerperal infection
risk factor
