医学研究与教育 ›› 2014, Vol. 31 ›› Issue (2): 17-20.DOI: 10.3969/j.issn.1674-490X.2014.02.005

• 临床研究 • 上一篇    下一篇

药物流产结局影响因素的logistic回归分析

刘梅云1,张红杰2,朱继红3,高敬3   

  1. 1.河北大学附属医院妇产科,河北保定,071000
    2.河北大学公共卫生学院,河北保定,071000
    3.保定市第一中心医院妇产科,河北保定,071000
  • 出版日期:2014-04-25 发布日期:2014-04-25
  • 基金资助:
    河北省计划生育委员会计划项目

Logistic regression analysis on inlfuencing factors of medical abortion outcome

LIU Meiyun1,ZHANG Hongjie2,ZHU Jihong3,GAO Jing3   

  • Online:2014-04-25 Published:2014-04-25

摘要: 目的:探讨药物流产结局的影响因素,为制定相应的干预措施提供依据。方法以药物流产后因不全流产或失败行手术干预者为病例组,以药物流产后完全流产者为对照组,采用病例对照研究,分析影响药物流产结局的因素。采用SPSS16.0进行数据分析。结果共调查病例组32例,对照组170例。单因素分析结果表明,手术流产史(χ2=4.691, P=0.030)、药物流产的地点(χ2=13.487,P=0.000)、药物流产的孕周(χ2=6.747,P=0.009)、药物流产前是否诊断为阴道炎(χ2=22.153,P=0.000)对药物流产是否完全流产的影响有统计学意义;多因素logistic回归分析结果表明,药物流产的地点(OR=3.693,P=0.009)和药物流产前是否诊断为阴道炎(OR=4.520,P=0.000)是药物流产结局的独立影响因素。结论在私立诊所行药物流产妇女比选择公立医院或计划生育诊所,更可能发生流产不全或失败;患有阴道炎的妇女发生药物流产不全或失败的可能性更大。

关键词: 药物流产, 流产结局, 影响因素, logistic回归

Abstract: Objective To explore the influencing factors of medical abortion outcome, and provide evidences for making intervention measures. Methods A case-control study was adopted with cases who had incomplete or failure abortion after medical abortion, and the controls were those who had complete abortion. The data was analyzed by SPSS16.0. Results The univariate analysis showed that factors such as the surgical abortion history (χ2=4.691, P=0.030), the site of the medical abortion (χ2=13.487, P=0.000), pregnant weeks (χ2=6.747, P=0.009), whether vaginitis before medical abortion (χ2=22.153, P=0.000) were influencing the medical abortion outcome. The multivariate analysis showed that risk factors were the site of the medical abortion (OR=3.693, P=0.009)and whether vaginitis before medical abortion (OR=4.520, P=0.000). Conclusion In private clinics, the ratio of incomplete abortion or failure of medical abortion was more than that in public hospital or family planning clinics. For the women with vaginitis, the possibility of incomplete abortion or failure was greater.

Key words: medical abortion, abortion outcome, inlfuencing factors, logistic regression

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