首页|宫颈前角、宫颈长度及剪切波速度在宫颈机能不全自发性早产风险中的预测价值研究

宫颈前角、宫颈长度及剪切波速度在宫颈机能不全自发性早产风险中的预测价值研究

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目的 分析宫颈前角(Anterior uterocervical angle,ACA)、宫颈长度(Cervical length,CL)及剪切波速度(Shear wave velocity,SWV)在宫颈机能不全自发性早产风险中的联合预测价值.方法 以2023年2月-6月在南京医科大学第二附属医院妇产科建档的376例宫颈机能不全孕妇为研究对象,分析不同孕周(19~23 w+6 d、24~27 w+6 d、28~33 w+6 d、34~36 w+6 d)时ACA、CL、SWV与孕周的相关性.对所有孕妇随访至完成分娩,根据孕妇是否早产分为早产组与非早产组,比较2组孕妇的一般资料.经Logistic回归分析宫颈机能不全孕妇早产的风险因素,根据危险因素构建预测模型,采用受试者工作特征(Receiver operating characteristic curve,ROC)曲线分析ACA、CL、SWV对宫颈机能不全孕妇自发性早产风险的单独及联合预测效能,采取Pearson相关性分析ACA、CL及SWV与宫颈机能不全孕妇孕周的相关性.结果 不同孕周的宫颈机能不全孕妇SWV、CL间,差异有统计学意义(P<0.05),且随着孕周增加SWV、CL呈下降趋势(P<0.05),不同孕周的宫颈机能不全孕妇比较,ACA差异无统计学意义(P>0.05).Pearson相关性分析结果表明,SWV、CL与宫颈机能不全孕妇的孕周呈负相关关系(r=-0.628、-0.867,P<0.05).ACA与宫颈机能不全孕妇的孕周无相关性(r=0.109,P=0.081).376例孕妇中自发性早产79例,自发性早产率为21.01%(79/376),足月产297例,足月产率为78.99%(297/376).将79例自发性早产孕妇纳入早产组,其余297例足月产孕妇分为非早产组,经单因素分析表明,两组年龄、BMI、流产次数、辅助生殖技术妊娠情况、孕周,差异无统计学意义(P>0.05),与非早产组比较,早产组ACA升高,CL、SWV降低(P<0.05).Logistic回归分析表明ACA、CL、SWV均是导致宫颈机能不全孕妇自发性早产的重要风险因素(P<0.05),建立早产联合预测模型:Logistic(P)=-48.126+6.059×SWV+0.206×CL+0.295× ACA;ROC 曲线分析表明,ACA、CL、SWV对宫颈机能不全孕妇自发性早产的单独预测灵敏度分别为82.90%、68.30%、80.50%,ACA+CL+SWV联合预测灵敏度为93.90%.结论 ACA、CL、SWV在宫颈机能不全孕妇自发性早产风险中具有一定预测价值,3个指标联合预测的敏感度与准确度较高.
Predictive value of cervical anterior angle(ACA),cervical length(CL)and shear wave velocity(SWV)in risk of spontaneous preterm delivery with cervical incompetence
Objective To analyze the combined predictive value of anterior cervical angle(ACA),cervical length(CL),and shear wave velocity(SWV)in the risk of spontaneous preterm delivery with cervical dys-functions.Methods A total of 376 pregnant women with cervical incompetence were enrolled in the De-partment of Obstetrics and Gynecology of the hospitalfrom February to June 2023.The correlation be-tween ACA,CL,SWV and gestational weeks(19-23 w+6 d,24-27 w+6 d,28-33 w+6 d,34-36 w+6 d)was analyzed.All pregnant women were followed up to the completion of delivery and divided into preterm and non-preterm groups according to whether they were preterm or not.The general data of the 2 groups were compared,and the risk factors of preterm delivery in pregnant women with cervical immaturi-ty were analyzed by Logistic regression,and the prediction model was built according to the risk factors.Receiver Operating Characteristic curve(ROC)curve was used to analyze the single and combined predic-tive efficacy of ACA,CL and SWV on the risk of spontaneous preterm delivery in pregnant women with cervical imfunction.Pearson correlation was used to analyze the correlation between ACA,CLand SWV and gestational age of pregnant women with cervical dysfunction.Results There were significant differ-ences in SWV and CL among the pregnant women with cervical incompetence at different gestational weeks(P<0.05),and SWV and CL showed a decreasing trend with the increase of gestational weeks(P<0.05).There was no significant difference in ACA among the pregnant women with cervical dysfunction at different gestational weeks(P>0.05).The results of Pearson correlation analysis showed that SWV and CL were negatively correlated with gestational age of pregnant women with cervical incompetence(r=-0.628,-0.867,P<0.05),while ACA was not correlated with gestational age of the pregnant women with cer-vical incompetence(r=0.109,P=0.081).Among the 376 pregnant women,79 cases were spontaneous preterm delivery(21.01%),and 297 cases were full term delivery(78.99%).79 spontaneous preterm pregnant women were divided into preterm birth group,and the remaining 297 full-term pregnant women were divided into non-term birth group.Univariate analysis showed that there was no statistically signifi-cant difference in age,BMI,number of abortions,pregnancy with assisted reproductive technology and gestational week between the 2 groups(P>0.05).Compared with non-preterm preterm pregnant women,ACA in the preterm preterm pregnant women was higher.CL and SWV were decreased(P<0.05).Logistic analysis confirmed that ACA,CL and SWV were important risk factors for spontaneous preterm delivery in pregnant women with cervical imfunction(P<0.05).The combined prediction model for preterm birth was established:Logistic(P)=-48.126+6.059X SWV+0.206 X CL+0.295 X ACA.ROC curve analysis showed that the independent prediction sensitivity of ACA,CL and SWV for sponta-neous causes of cervical imfunction in pregnant women was 82.90%,68.30%and 80.50%,respectively,while the combined prediction sensitivity of ACA+CL+SWV was 93.90%.Conclusion ACA,CL and SWV have certain predictive value in the risk of spontaneous preterm delivery in pregnant women with cer-vical imfunction,and the combined prediction sensitivity and accuracy of each index are high,which is con-ducive to reducing the risk of missed diagnosis or misdiagnosis to the greatest extent.

cervical incompetencespontaneous premature birthshear wave velocitycervical lengthan-terior horn of cervix

何陈艳、应小燕

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南京医科大学第二附属医院妇产科,南京 210000

宫颈机能不全 自发性早产 剪切波速度 宫颈长度 宫颈前角

江苏省妇幼健康重点科室基金

FXK201712

2024

新疆医科大学学报
新疆医科大学

新疆医科大学学报

CSTPCD
影响因子:0.76
ISSN:1009-5551
年,卷(期):2024.47(9)