A new screening of preterm birth in gestation with short cervix after pessary plus progesterone.

Marcelo Santucci França, Valter Lacerda de Andrade, Alan Roberto Hatanaka, Roberto Santos, Francisco Herlanio Costa Carvalho, Maria Laura Costa, Gabriela Ubeda Santucci França, Rosiane Mattar, Ben Willem Mol, Antonio Fernandes Moron, Rodolfo de Carvalho Pacagnella
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Abstract

Objective: This study aims to create a new screening for preterm birth < 34 weeks after gestation with a cervical length (CL) ≤ 30 mm, based on clinical, demographic, and sonographic characteristics.

Methods: This is a post hoc analysis of a randomized clinical trial (RCT), which included pregnancies, in middle-gestation, screened with transvaginal ultrasound. After observing inclusion criteria, the patient was invited to compare pessary plus progesterone (PP) versus progesterone only (P) (1:1). The objective was to determine which variables were associated with severe preterm birth using logistic regression (LR). The area under the curve (AUC), sensitivity, specificity, and positive predictive value (PPV) and negative predictive value (NPV) were calculated for both groups after applying LR, with a false positive rate (FPR) set at 10%.

Results: The RCT included 936 patients, 475 in PP and 461 in P. The LR selected: ethnics white, absence of previous curettage, previous preterm birth, singleton gestation, precocious identification of short cervix, CL < 14.7 mm, CL in curve > 21.0 mm. The AUC (CI95%), sensitivity, specificity, PPV, and PNV, with 10% of FPR, were respectively 0.978 (0.961-0.995), 83.4%, 98.1%, 83.4% and 98.1% for PP < 34 weeks; and 0.765 (0.665-0.864), 38.7%, 92.1%, 26.1% and 95.4%, for P < 28 weeks.

Conclusion: Logistic regression can be effective to screen preterm birth < 34 weeks in patients in the PP Group and all pregnancies with CL ≤ 30 mm.

子宫颈短的妊娠期使用子宫环加黄体酮后的早产筛查新方法。
目的本研究旨在根据临床、人口统计学和超声特征,对妊娠后 34 周以下、宫颈长度(CL)≤ 30 mm 的早产儿进行新的筛查:这是对一项随机临床试验(RCT)的事后分析,其中包括经阴道超声筛查的中期妊娠孕妇。在遵守纳入标准后,患者被邀请对雌激素加黄体酮(PP)和单纯黄体酮(P)(1:1)进行比较。目的是利用逻辑回归(LR)确定哪些变量与严重早产相关。应用 LR 后计算了两组的曲线下面积(AUC)、灵敏度、特异性、阳性预测值(PPV)和阴性预测值(NPV),假阳性率(FPR)设定为 10%:LR选择:白种人、既往无刮宫史、既往早产、单胎妊娠、宫颈过短、CL < 14.7 mm、曲线CL > 21.0 mm。PP<34周的AUC(CI95%)、灵敏度、特异性、PPV和PNV(FPR为10%)分别为0.978(0.961-0.995)、83.4%、98.1%、83.4%和98.1%;P<28周的AUC(CI95%)、灵敏度、特异性、PPV和PNV分别为0.765(0.665-0.864)、38.7%、92.1%、26.1%和95.4%:逻辑回归可有效筛查PP组患者和CL≤30 mm的所有孕妇中<34周的早产儿。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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