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中华妇幼临床医学杂志(电子版) ›› 2023, Vol. 19 ›› Issue (05) : 588 -594. doi: 10.3877/cma.j.issn.1673-5250.2023.05.013

论著

早孕期孕妇药物流产失败的影响因素分析与构建相关预测模型及其对药物流产成功的预测价值
王蓓蓓, 董启秀(), 郗红燕, 于庆云, 张丽君, 式光   
  1. 盐城市中医院妇产科,盐城 224000
  • 收稿日期:2023-06-14 修回日期:2023-09-10 出版日期:2023-10-01
  • 通信作者: 董启秀

Analysis of influencing factors of medical abortion failure of pregnant women in early pregnancy and construction of related prediction model and its predictive value for medical abortion success

Beibei Wang, Qixiu Dong(), Hongyan Xi, Qingyun Yu, Lijun Zhang, Guang Shi   

  1. Department of Gynecology and Obstetrics, Yancheng Traditional Chinese Medicine Hospital, Yancheng 224000, Jiangsu Province, China
  • Received:2023-06-14 Revised:2023-09-10 Published:2023-10-01
  • Corresponding author: Qixiu Dong
  • Supported by:
    Medical Science and Technology Development Plan Project of Yancheng City(YK2019020)
引用本文:

王蓓蓓, 董启秀, 郗红燕, 于庆云, 张丽君, 式光. 早孕期孕妇药物流产失败的影响因素分析与构建相关预测模型及其对药物流产成功的预测价值[J/OL]. 中华妇幼临床医学杂志(电子版), 2023, 19(05): 588-594.

Beibei Wang, Qixiu Dong, Hongyan Xi, Qingyun Yu, Lijun Zhang, Guang Shi. Analysis of influencing factors of medical abortion failure of pregnant women in early pregnancy and construction of related prediction model and its predictive value for medical abortion success[J/OL]. Chinese Journal of Obstetrics & Gynecology and Pediatrics(Electronic Edition), 2023, 19(05): 588-594.

目的

探讨早孕期孕妇药物流产失败的影响因素及构建相关预测模型,评估其对早孕期孕妇药物流产成功的预测价值。

方法

选择2020年1月至2022年12月于盐城市中医院采取药物流产的323例早孕期孕妇为研究对象。采取回顾性分析方法,根据药物流产结局将其分为失败组(n=35)及成功组(n=288)。采用单因素分析及多因素非条件logistic回归分析法,分析早孕期孕妇药物流产失败的影响因素,并构建相关预测模型,采用受试者工作特征(ROC)曲线,评估该模型对早孕期孕妇药物流产成功的预测价值。本研究符合2013年修订的《世界医学协会赫尔辛基宣言》相关要求。受试者对诊疗均知情同意,并签署知情同意书。

结果

①单因素分析结果显示,受试者孕产次(≤1次、>1次),既往流产史,子宫位置(水平位、非水平位),孕囊直径(孕囊3径线平均值)(<20 mm、≥20 mm)及慢性盆腔炎史,均为导致早孕期孕妇药物流产失败的可能影响因素。②多因素非条件logistic回归分析结果显示,既往流产史(OR=7.791,95%CI:3.234~18.767,P<0.001),子宫位置非水平位(OR=4.614,95%CI:1.990~10.702,P<0.001)及孕囊直径≥20 mm(OR=6.564,95%CI:2.709~15.905,P<0.001),均为导致早孕期孕妇药物流产失败的独立危险因素。③基于上述导致早孕期孕妇药物流产失败的3项独立危险因素,构建预测模型,评估其对于早孕期孕妇药物流产成功的ROC的曲线下面积(AUC)、敏感度、特异度分别为0.846、95.7%、90.6%,均高于模型中3项因素任意一项预测的AUC、敏感度及特异度,并且该预测模型的拟合度较好(Hosmer-Lemeshow χ2=2.02,P=0.732)。

结论

基于既往流产史、子宫位置、孕囊直径,3项导致早孕期孕妇药物流产失败的独立危险因素,构建的相关预测模型,对于评估早孕期孕妇药物流产成功具有一定预测价值。

Objective

To explore the influencing factors of medical abortion failure of pregnant women in early pregnancy and constructing a related prediction model, and to evaluate its predictive value for medical abortion success of pregnant women in early pregnancy.

Methods

A total of 323 women with medical abortion in early pregnancy who were treated in the outpatient clinic department of Yancheng TCM Hospital from January 2020 to December 2022, were included in the study. Took a retrospective analysis method, based on outcomes of medical abortion, they were divided into failure group (n=35) and success group (n=288). Univariate analysis and multivariate unconditional logistic regression analysis were utilized to analyze the influencing factors of medical abortion failure of pregnant women in early pregnancy, and to construct a related predictive model for the success of medical abortion of pregnant women in early pregnancy. Receiver operating characteristic (ROC) curve analysis was conducted to evaluate the predictive value of this model for the success of medical abortion of pregnant women in early pregnancy. This study was in line with World Medical Association Declaration of Helsinki revised in 2013. Participants were granted their informed consent for diagnosis and treatments, substantiated by signing informed consent forms.

Results

①The results of univariate analysis showed that the number of pregnancies and childbirth (≤1 time, >1 time) of subjects, history of previous abortions, uterine position (horizontal, non-horizontal), gestational sac diameter (average of the three diameters of the gestational sac)(<20 mm, ≥20 mm), and history of chronic pelvic inflammatory disease could be potential influencing factors of the failure of medical abortion of pregnant women in early pregnancy. ②The results of multivariate unconditional logistic regression analysis showed that history of previous abortions (OR=7.791, 95%CI: 3.234-18.767, P<0.001), non-horizontal uterine position (OR=4.614, 95%CI: 1.990-10.702, P<0.001), and gestational sac diameter ≥20 mm (OR=6.564, 95%CI: 2.709-15.905, P<0.001) were all independent risk factors for the failure of medical abortion of pregnant women in early pregnancy. ③ The area under curve (AUC) of ROC, sensitivity and specificity of the prediction model for the success of medical abortion of pregnant women in early pregnancy based on the above three independent risk factors were 0.846, 95.7% and 90.6% respectively, which were higher than those of predicted by any one of the three factors, and this prediction model has a good fitting degree (Hosmer-Leme showed χ2=2.02, P=0.732).

Conclusion

The prediction model constructed based on three independent risk factors for the failure of medical abortion of pregnant women in early pregnancy including the history of previous abortions, uterine position and gestational sac diameter, holds certain predictive value for the success of medical abortion of pregnant women in early pregnancy.

表1 早孕期孕妇药物流产失败的单因素分析结果
组别 例数 年龄(岁,±s) 孕龄(d,±s) 孕产次[例数(%)] 婚姻状况[例数(%)]
≤1次 >1次 未婚 已婚
成功组 288 28.4±5.0 52.4±4.0 247(85.8) 41(14.2) 49(17.0) 239(83.0)
失败组 35 28.6±4.8 52.7±3.8 23(65.7) 12(34.3) 7(20.0) 28(80.0)
统计量   t=0.24 t=0.30 χ2=9.15 χ2=0.19
P   0.810 0.766 0.002 0.659
组别 例数 文化程度[例数(%)] 月收入[例数(%)] 既往流产史[例数(%)]
初中及以下 高中及中专 大专及以上 ≤2 000元 >2 000元
成功组 288 31(10.8) 84(29.2) 173(60.0) 57(19.8) 231(80.2) 61(21.2)
失败组 35 4(11.4) 10(28.6) 21(60.0) 8(22.9) 27(77.1) 21(60.0)
统计量   χ2=0.02 χ2=0.18 χ2=24.83
P   0.992 0.669 <0.001
组别 例数 职业[例数(%)] 宫颈物理治疗史[例数(%)]
公司职员 工人 学生 公务员 无业/待业
成功组 288 107(37.2) 89(30.9) 47(16.3) 23(8.0) 22(7.6) 48(16.7)
失败组 35 12(34.3) 10(28.6) 6(17.1) 4(11.4) 3(8.6) 6(17.1)
统计量   χ2=0.62 χ2=0.01
P   0.961 0.943
组别 例数 停经时间[例数(%)] 避孕方式[例数(%)] 子宫位置[例数(%)]
<49 d 49~63 d 口服避孕药 避孕套 水平位 非水平位
成功组 288 157(54.5) 131(45.5) 52(18.1) 236(81.9) 221(76.7) 67(23.3)
失败组 35 19(54.3) 16(45.7) 7(20.0) 28(80.0) 16(45.7) 19(54.3)
统计量   χ2=0.01 χ2=0.08 χ2=15.37
P   0.980 0.779 <0.001
组别 例数 孕囊直径[例数(%)] 阴道炎[例数(%)] 慢性盆腔炎[例数(%)] 子宫肌瘤[例数(%)]
<20 mm ≥20 mm
成功组 288 207(71.9) 81(28.1) 37(12.9) 46(16.0) 52(18.1)
失败组 35 13(37.1) 22(62.9) 5(14.3) 13(37.1) 7(20.0)
统计量   χ2=17.33 χ2=0.06 χ2=9.37 χ2=0.08
P   <0.001 0.811 0.002 0.779
图1 早孕期孕妇药物流产失败的多因素非条件logistic回归分析森林图
表2 早孕期孕妇药物流产失败的多因素非条件logistic回归分析
图2 本研究基于3项独立危险因素构建的相关预测模型,对预测早孕期孕妇药物流产成功的ROC曲线注:基于既往流产史、子宫位置、孕囊直径3项独立危险因素构建相关预测模型。ROC曲线为受试者工作特征曲线
表3 本研究构建预测模型的不同预测因素对早孕期孕妇药物流产成功的预测价值分析
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