Merced Carme, Pratcorona Laia, Higueras Teresa, Vargas Mireia, Del Barco Esther, Solà Judit, Carreras Elena, Goya Maria
Department of Obstetrics, Hospital Universitari de Vic, Consorci Hospitalari de Vic. Barcelona, Spain.
Department of Obstetrics, Hospital Germans Trias I Pujol. Universitat Autònoma de Barcelona, Barcelona, Spain.
Eur J Obstet Gynecol Reprod Biol X. 2024 Mar 27;22:100305. doi: 10.1016/j.eurox.2024.100305. eCollection 2024 Jun.
We aimed to identify the incidence and risk factors of spontaneous preterm birth in pessary carriers with singleton pregnancies and a short cervix in the mid-trimester of pregnancy.
Patient data were obtained from the PECEP Trial. We analyzed singleton pregnancies in pessary carriers with a short cervix (≤25 mm) between 18 and 22 gestational weeks. Demographics and obstetric history were compared to identify risk factors for spontaneous preterm birth < 34 gestational weeks. Each demographic and obstetric variable was compared between spontaneous preterm birth < 34 and ≥ 34 weeks of gestation.Regression analysis was used to identify risk factors. A risk score model was generated using the odds ratio for significant factors. The risk score model and spontaneous preterm birth risk were assessed using the receiver operating characteristic curve. Perinatal outcomes were compared by risk score.
Among 190 pregnant individuals, 12 (6.3%) had spontaneous preterm birth < 34 gestational weeks. In the bivariate analysis, statistically significant differences between those with and without spontaneous preterm birth were only observed for mean cervical length at diagnosis and mean cervical length after pessary placement. By multiple logistic regression analysis, maternal age (OR 0.818; 95% CI 0.69-0.97; 0.020), cervical length at diagnosis (OR 0.560; 95% CI 0.43-0.73; < 0.001) and smoking status (OR 7.276; 95% CI 1.02-51.80; 0.048) remained significantly associated with spontaneous preterm birth.The ROC curve from the multiple logistic regression analysis, including cervical length, maternal age and smoking status, had an area under the curve (AUC) of 0.952 0.001). The ROC curve for the risk score model incorporating all three variables had an AUC of 0.864 (95% CI 0.77-0.96; < 0.001). A high-risk score was predictive of spontaneous preterm birth with a sensitivity of 75%, specificity of 84%, positive predictive value of 24%, and negative predictive value of 98%.Women with a high-risk score had a significantly reduced latency to delivery and poorer neonatal outcomes than those with a low-risk score.
Patients at a high risk for spontaneous preterm birth despite pessary therapy may be identified using cervical length at diagnosis added to maternal age and smoking status.
我们旨在确定妊娠中期单胎妊娠且宫颈短的子宫托使用者中自然早产的发生率及危险因素。
患者数据来自PECEP试验。我们分析了妊娠18至22周期间宫颈短(≤25毫米)的子宫托使用者的单胎妊娠情况。比较人口统计学和产科病史以确定孕34周前自然早产的危险因素。比较孕34周前自然早产和孕34周及以后自然早产患者的各项人口统计学和产科变量。采用回归分析确定危险因素。利用显著因素的比值比生成风险评分模型。使用受试者工作特征曲线评估风险评分模型和自然早产风险。根据风险评分比较围产期结局。
在190名孕妇中,12例(6.3%)孕34周前自然早产。在双变量分析中,仅在诊断时的平均宫颈长度和放置子宫托后的平均宫颈长度方面,自然早产组与非自然早产组之间存在统计学显著差异。通过多因素逻辑回归分析,产妇年龄(比值比0.818;95%可信区间0.69 - 0.97;P = 0.020)、诊断时的宫颈长度(比值比0.560;95%可信区间0.43 - 0.73;P < 0.001)和吸烟状况(比值比7.276;95%可信区间1.02 - 51.80;P = 0.048)仍与自然早产显著相关。多因素逻辑回归分析(包括宫颈长度、产妇年龄和吸烟状况)的ROC曲线下面积(AUC)为0.952(95%可信区间0.92 - 0.98;P < 0.001)。纳入所有三个变量的风险评分模型的ROC曲线下面积为0.864(95%可信区间0.77 - 0.96;P < 0.001)。高风险评分可预测自然早产,敏感性为75%,特异性为84%,阳性预测值为24%,阴性预测值为98%。高风险评分的女性分娩潜伏期显著缩短,围产期结局比低风险评分的女性更差。
除子宫托治疗外,结合产妇年龄、吸烟状况及诊断时的宫颈长度,可识别自然早产高危患者。