延期妊娠引产失败的相关因素分析

吉婷 ,  刘海霞 ,  徐晓艳 ,  楚光华 ,  郭琳琼

中国妇幼健康研究 ›› 2024, Vol. 35 ›› Issue (2) : 74 -80.

PDF (1245KB)
中国妇幼健康研究 ›› 2024, Vol. 35 ›› Issue (2) : 74 -80. DOI: 10.3969/j.issn.1673-5293.2024.02.011
临床研究

延期妊娠引产失败的相关因素分析

作者信息 +

Analysis of factors associated with failure to induce labor in delayed pregnancy

Author information +
文章历史 +
PDF (1274K)

摘要

目的 探讨延期妊娠引产失败的相关因素。方法 收集2017年1月至2021年1月在西北妇女儿童医院产科住院的延期妊娠产妇病历资料171例;依据引产结果将其分为引产成功组84例,引产失败组87例;按产后胎盘病检结果分为亚临床期绒毛膜羊膜炎组59例,非绒毛膜羊膜炎组112例;对各组产妇的基本指标、外周血炎性指标、胎盘病检结果进行比较,并进行统计学分析。结果 引产成功组与引产失败组产妇的年龄、人工流产次数、孕前体重、分娩前体重、孕前体质量指数(BMI)、分娩前BMI、新生儿出生体重比较差异均有统计学意义(t值分别为-3.414、-1.220、-2.373、-2.461、-3.470、-3.764、-5.616,P<0.05);引产成功组与引产失败组产妇的身高比较差异有统计学意义(Z=2.158,P<0.05).引产成功组与引产失败组的产前外周血白细胞计数(WBC)、中性粒细胞百分比(NEUT)、C反应蛋白(CRP)、降钙素原(PCT)水平比较差异均有统计学意义(t值分别为-2.348、-2.158、-2.614、-2.176,P<0.05).亚临床期绒毛膜羊膜炎组与非绒毛膜羊膜炎组外周血WBC、NEUT、CRP和PCT水平比较差异均有统计学意义(t值分别为2.589、2.603、2.615、2.144,P<0.05).引产成功组与引产失败组产妇产后胎盘出现亚临床期绒毛膜羊膜炎的发生率比较差异有统计学意义(χ2=75.385,P<0.001);引产成功组与引产失败组产妇产后发热的发生率比较差异也有统计学意义(Fisher确切概率法,P=0.001).多因素Logistic回归分析结果显示,产妇的年龄(OR=1.203,95%CI:1.019~1.419)、身高(OR=1.151,95%CI:1.021~2.060)、人工流产次数(OR=2.021,95%CI:1.571~4.216)、分娩前BMI(OR=3.403,95%CI:2.581~5.348)、WBC(OR=1.021,95%CI:1.001~1.046),以及新生儿出生体重(OR=1.003,95%CI:1.001~1.004)均是引产失败的危险因素(P<0.05).ROC曲线分析显示,WBC、NEUT、CRP、PCT诊断亚临床期绒毛膜羊膜炎的截断值分别为7.85×109/L、76.00%、14.00μg/mL、0.04ng/mL.WBC+NEUT+CRP+PCT联合诊断亚临床期绒毛膜羊膜炎的AUC为0.683,灵敏度为85.40%,特异度为77.90%,四项指标联合诊断亚临床期绒毛膜羊膜炎有较高的AUC、灵敏度、特异度,优于单项指标的诊断。结论 产妇的年龄、身高、人工流产次数、分娩前BMI、WBC,以及新生儿出生体重均是引产失败的危险因素,亚临床期绒毛膜羊膜炎是导致引产失败高危因素之一.

Abstract

Objective To explore the factors associated with the induced labor failure in delayed pregnancy. Methods From January 2017 to January 2021, medical records of 171 postponed pregnant women who hospitalized in the Department of Obstetrics of Northwest Women's and Children's Hospital were collected. According to the results of induction of labor, they were divided into 84 cases in the group of successful induced abortion and 87 cases in the group of failed induced abortion. According to the pathological examination results of postpartum placenta, they were divided into 59 cases in subclinical chorioamnionitis group and 112 cases in non-chorioamnionitis group. The basic indicators, peripheral blood inflammatory indicators, placental pathological examination results of each group were compared, and statistical analysis was carried out. Results There were statistically significant differences in age, number of previous induced abortions, pre-pregnancy weight, pre-delivery weight, pre-pregnancy body mass index (BMI), pre-delivery BMI and neonatal birth weight between the successful and failed labor induction groups (t=-3.414, -1.220, -2.373, -2.461, -3.470, -3.764 and -5.616, respectively, P<0.05). There was a significant difference in the height between the successful and failed induced labor groups (Z=2.158, P<0.05). There were statistically significant differences in prenatal peripheral blood white blood cell (WBC), neutrophil percentage (NEUT), C-reactive protein (CRP) and procalcitonin (PCT) levels between the successful and failed labor induction groups (t=-2.348, -2.158, -2.614 and -2.176, respectively, P<0.05). There were statistically significant differences in the levels of WBC, NEUT, CRP and PCT in peripheral blood between subclinical chorioamnionitis group and the non-chorioamnionitis group (t=2.589, 2.603, 2.615 and 2.144, respectively, P<0.05). There was statistically significant difference in the incidence of subclinical chorioamniotitis in postpartum placenta between the successful and failed labor induction groups (χ2=75.385, P<0.001). There was also a statistically significant difference in the incidence of postpartum fever between the successful and failed labor induction groups (Fisher's exact test, P=0.001). Multivariate Logistic regression analysis showed that maternal age (OR=1.203, 95%CI:1.019-1.419), height (OR=1.151, 95%CI:1.021-2.060), number of induced abortions (OR=2.021, 95%CI:1.571-4.216), pre-delivery BMI (OR=3.403, 95%CI:2.581-5.348), WBC (OR=1.021, 95%CI:1.001-1.046), and newborn birth weight (OR=1.003, 95%CI:1.001-1.004) were all risk factors for induced labor failure (P<0.05). The ROC curve analysis showed that the cut-off values of WBC, NEUT, CRP and PCT in the diagnosis of subclinical chorioamnionitis were 7.85×109/L, 76.00%, 14.00μg/mL and 0.04ng/mL, respectively. The AUC of WBC+NEUT+CRP+PCT in the joint diagnosis of subclinical chorioamnitis was 0.683, and the sensitivity was 85.40%, and the specificity was 77.90%. The combination of the four indexes in the diagnosis of subclinical chorioamnitis had higher AUC, sensitivity and specificity, which was superior to the diagnosis of single indexes. Conclusion Maternal age, height, number of induced abortions, pre-delivery BMI, WBC and neonatal birth weight are all risk factors for induced labor failure. Subclinical chorioamnionitis is one of the high-risk factors for induced labor failure.

关键词

引产失败 / 孕妇基本指标 / 外周血炎性指标、亚临床期绒毛膜羊膜炎

Key words

induced labor failure / maternal baseline indicators / peripheral blood inflammatory markers / subclinical chorioamnitis

引用本文

引用格式 ▾
吉婷,刘海霞,徐晓艳,楚光华,郭琳琼. 延期妊娠引产失败的相关因素分析[J]. 中国妇幼健康研究, 2024, 35(2): 74-80 DOI:10.3969/j.issn.1673-5293.2024.02.011

登录浏览全文

4963

注册一个新账户 忘记密码

参考文献

[1]

丁会会, 李娜. COOK宫颈扩张球囊与米索前列醇在延期妊娠引产中的作用分析[J]. 右江医学, 2022, 50(8): 604-608.

[2]

汝萍, 刘铭. 缩宫素在催引产中的规范化应用[J]. 中国实用妇科与产科杂志, 2021, 37(09): 907-911.

[3]

童玲玲, 崔文华, 刘雪芹, 等. Cook球囊引产与米索前列醇片引产临床疗效比较[J]. 中国煤炭工业医学杂志, 2022, 25(06): 643-649.

[4]

Crum CP. 妇产科诊断病理学(精)[M]. 北京: 北京大学医学出版社, 2007: 1086-1087.

[5]

余怡红, 钟娟, 吴南燕. 催产素引产失败及分娩结局的影响因素分析[J]. 医学信息, 2022, 35(21): 50-53.

[6]

Moore SM, Zhang H, Maeda N, et al. Cardiovascular risk factors cause premature rarefaction of the collateral circulation and greater ischemic tissue injury[J]. Angiogenesis, 2015, 18(3): 265-281.

[7]

武丽, 舒艳铃, 吴明洋, 等. 母亲身高与不良出生结局关联性分析[J]. 中国公共卫生, 2020, 36(09): 1318-1322.

[8]

熊超. 孕期体重对出生结局及婴幼儿体格发育影响的队列研究[D]. 武汉: 华中科技大学, 2017.

[9]

段雅萍, 蔺莉. 亚临床绒毛膜羊膜炎患者母血IL-6,脐血IL-6水平的预测价值[J]. 武警后勤学院学报(医学版), 2021, 30(06): 123-125, 129.

[10]

Kim CJ, Romero R, Chaemsaithong P, et al. Acute chorioamnionitis and funisitis: definition, pathologic features, and clinical significance[J]. Am J Obstet Gynecol, 2015, 213(4 Suppl): S29-S52.

[11]

Yoon BH, Romero R, Park JS, et al. Fetal exposure to intra-amniotic inflammation and the development of cerebral palsy at the age of three[J]. Am J Obstet Gynecol, 2000, 182(3): 675-681.

[12]

梁辉标, 叶知昀, 高洁, 等. 胎膜早破与急性绒毛膜羊膜炎的关系及绒毛膜羊膜炎致病菌群研究[J]. 中华医院感染学杂志, 2017, 27(14): 3281-3284.

[13]

Valappil SA, Varkey M, Areeckal B, et al. Serum ferritin as a marker for preterm premature rupture of membranes-a study from a tertiary Center in Central Kerala[J]. J Clin Diagn Res, 2015, 9(7): BC09-12.

[14]

王岩. 感染性指标在未足月胎膜早破合并组织学绒毛膜羊膜炎中诊断价值分析[D]. 邯郸: 河北工程大学, 2022.

[15]

Trochez-Martinez RD, Smith P, Lamint RF. Use of C-reactive protein as a predictor of chorioamnionitis in preterm prelabour rupture of membranes: a systematic review[J]. BJOG, 2007, 114(7): 796-801.

[16]

Areia AL, Areia M, Mota-Pinto A. Procalcitonin in preterm rupture of membranes: a systematic review and meta-analysis[J]. Arch Gynecol Obstet, 2021, 303(4): 917-924.

[17]

Ronzino-Dubost V, Sananès N, Lavaux T, et al. Evaluation of the interest of procalcitonin in the diagnosis of chorioamnionitis in preterm premature rupture of membranes. An observational and prospective study[J]. J Gynecol Obstet Biol Reprod (Paris), 2016, 45(7): 745-753.

[18]

Popowski T, Goffinet F, Batteux F, et al. Prediction of maternofetal infection in preterm premature rupture of membranes: serum maternal markers[J]. Gynecol Obstet Fertil, 2011, 39(5): 302-308.

基金资助

陕西省重点研发计划项目(2021SFG208)

AI Summary AI Mindmap
PDF (1245KB)

49

访问

0

被引

详细

导航
相关文章

AI思维导图

/

〈 〉