Prediction of hypertensive disorders in pregnant women in the «gray» risk zone following combined first-trimester screening

Q3 Medicine
N. V. Mostova, V. V. Kovalev, E. V. Kudryavtseva
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Abstract

   Introduction. In obstetrics, hypertensive disorders of pregnancy (HDP) including preeclampsia (РЕ) are one of the primary causes resulting in critical cases and maternal mortality. HDP prediction is a milestone that allows preventing complications as well as reducing the number of most common relevant complications of pregnancy. Existing algorithms that predict PE risk distribute the risks in such a way that a considerable number of patients fall into the category of false negative results, and, consequently, receive no timely prevention and proper follow-up. In particular, this cohort usually consists of patients with borderline high risks, who may be designated as a medium risk group or located in a “gray” zone.   Aim: to develop a prognostic model for risk stratification in female patients with borderline to high developing PE risk based on combined first-trimester screening.   Materials and Methods. A prospective comparative study included 1089 female patients who underwent a combined screening at 11–14 weeks of gestation. Group 1 consisted of female patients at high РЕ risk (1:100 and greater), while female patients at moderate risk (1:101–1:250) and low risk (below 1:250) were included into Group 2 and Group 3, respectively. All pregnant women underwent examination including assessed anamnestic, general clinical and laboratory data, mean blood pressure (BP), uterine artery pulsatility index, serum level of human chorionic gonadotropin beta-subunits (β-hCG), placental growth factor (PlGF), pregnancy-associated plasma protein-A (PAPP-A).   Results. An impact of various factors on risk of developing hypertensive disorders in pregnancy was assessed by binary logistic regression by identifying most significant among them and generating a statistical prediction model – the prognostic index of hypertensive disorders in pregnancy. The latter included: obstetric history, body mass index, PlGF, mean ВР, and alanine aminotransferase level. The sensitivity and specificity comprised 91.2 and 53.6 %, respectively, and the method effectivenesswas 81.8 %.   Conclusion. The method proposed for HDP prediction is a second-line approach that may be used in clinical practice to stratify patients with borderline high risk of developing PE.
预测处于 "灰色 "风险区的孕妇在第一胎联合筛查后出现的高血压疾病
导言。在产科,妊娠高血压疾病(HDP)包括子痫前期(РЕ)是导致危重病例和孕产妇死亡的主要原因之一。妊娠高血压预测是预防并发症和减少最常见相关妊娠并发症的一个里程碑。现有的预测 PE 风险的算法对风险的分布是这样的:相当多的患者属于假阴性结果,因此得不到及时的预防和适当的随访。特别是,这部分患者通常由高风险边缘患者组成,他们可能被定为中度风险组或位于 "灰色 "区域。 目的:根据初产妇联合筛查结果,建立一个预后模型,用于对具有边缘至高发展中 PE 风险的女性患者进行风险分层。 材料与方法。一项前瞻性比较研究纳入了 1089 名在妊娠 11-14 周接受联合筛查的女性患者。第一组包括高风险(1:100 及以上)的女性患者,而中度风险(1:101-1:250)和低风险(1:250 以下)的女性患者分别被纳入第二组和第三组。所有孕妇都接受了检查,包括评估肛门指诊、一般临床和实验室数据、平均血压(BP)、子宫动脉搏动指数、血清人绒毛膜促性腺激素β亚基(β-hCG)、胎盘生长因子(PlGF)、妊娠相关血浆蛋白-A(PAPP-A)的水平。 结果通过二元逻辑回归评估了各种因素对妊娠期高血压疾病风险的影响,找出了其中最重要的因素,并生成了统计预测模型--妊娠期高血压疾病预后指数。后者包括:产科史、体重指数、PlGF、平均ВР和丙氨酸氨基转移酶水平。灵敏度和特异性分别为 91.2% 和 53.6%,方法有效率为 81.8%。 结论所提出的HDP预测方法是一种二线方法,可用于临床实践,对罹患 PE 的边缘高风险患者进行分层。
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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来源期刊
CiteScore
1.00
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0.00%
发文量
68
审稿时长
12 weeks
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