Shinohara Satoshi, Sunami Rei, Yasuda Genki, Kasai Mayuko
Department of Obstetrics and Gynecology, Yamanashi Prefectural Central Hospital, Kofu, Yamanashi, Japan.
J Obstet Gynaecol Res. 2025 Jun;51(6):e16343. doi: 10.1111/jog.16343.
To examine the association between the angle of progression (AOP) measured before labor induction and the occurrence of emergency cesarean section (ECS). Additionally, a predictive model was developed for ECS following labor induction using sonographic and clinical data accessible to obstetricians.
This prospective observational cohort study was conducted at the Yamanashi Prefectural Central Hospital between January 2022 and July 2024. A total of 143 nulliparous Japanese women with singleton term pregnancies in the cephalic presentation were recruited. Transabdominal and transperineal ultrasound examinations were performed before labor induction. All variables with a p-value of <0.05 in the bivariate analysis were evaluated using multivariable logistic regression analysis to examine the association between AOP and ECS and to identify AOP cutoff values predictive of ECS.
The incidence of ECS was 39.9% (57/143). Multivariable analysis indicated that the AOP (adjusted odds ratio [OR]: 0.89, 95% confidence interval [CI]: 0.85-0.94) and pre-pregnancy body mass index (adjusted OR: 1.14, 95% CI: 1.03-1.27) were associated with ECS. The prediction model had a sensitivity and specificity of 82.5% and 82.6%, respectively (area under the curve [AUC] = 0.88). The optimal AOP cutoff point for predicting ECS was 91.2° (AUC: 0.77).
The ECS prediction model incorporating AOP may facilitate individualized counseling before labor induction. Women with an AOP less than 91.2° are at an elevated risk for ECS.
研究引产术前测量的进展角度(AOP)与急诊剖宫产(ECS)发生之间的关联。此外,利用产科医生可获取的超声和临床数据,建立了引产术后ECS的预测模型。
本前瞻性观察性队列研究于2022年1月至2024年7月在山梨县立中央医院进行。共招募了143名单胎足月妊娠、头先露的未生育日本女性。引产术前进行经腹和经会阴超声检查。对双变量分析中p值<0.05的所有变量进行多变量逻辑回归分析,以研究AOP与ECS之间的关联,并确定预测ECS的AOP临界值。
ECS发生率为39.9%(57/143)。多变量分析表明,AOP(调整优势比[OR]:0.89,95%置信区间[CI]:0.85 - 0.94)和孕前体重指数(调整OR:1.14,95% CI:1.03 - 1.27)与ECS有关。预测模型的敏感性和特异性分别为82.5%和82.6%(曲线下面积[AUC]=0.88)。预测ECS的最佳AOP临界点为91.2°(AUC:0.77)。
纳入AOP的ECS预测模型可能有助于引产术前的个体化咨询。AOP小于91.2°的女性发生ECS的风险较高。