预测高危妊娠头三个月子痫前期和胎儿生长受限的不同风险评估模型--哪种模型更好?

R. Kapustin, Tatyana K. Kascheeva, E. Shelaeva, E. Alekseenkova, E. Kopteeva, O. Arzhanova, T. B. Postnikova, I. Kogan
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MATERIALS AND METHODS:This retrospective cohort study enrolled 158 women, who received antenatal care or gave birth on the premises from April 1, 2020 through December 31, 2022. The following comparison groups were defined: pregestational diabetes mellitus (n= 34; group I), chronic arterial hypertension (n= 25; group II); obesity (body mass index more than30 kg/m2;n= 31; group III), older women (40 years and older) with an assisted reproductive technologies pregnancy (n= 8; group IV), and the control group (n= 60; group V). The endpoints of the study were determined as preeclampsia (early and late forms), fetal growth restriction, and the effect of acetylsalicylic acid administration on the risk of placenta-related complications. 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引用次数: 0

摘要

背景:患有各种生殖器外疾病和妇科疾病的孕妇人数不断增加,加上推迟生育的动机,形成了一大批产科不良后果风险较高的患者。因此,有必要研究新的方法,对这些风险进行分层,并对孕期管理和分娩时机进行个性化调整。 目的:本研究的目的是比较使用血胎盘生长因子和妊娠相关血浆蛋白-A水平进行联合首胎筛查对高危妊娠子痫前期和胎儿生长受限的预测价值。 材料与方法:这项回顾性队列研究共纳入了 158 名产妇,她们都是在 2020 年 4 月 1 日至 2022 年 12 月 31 日期间接受产前护理或在医院分娩的。界定了以下对比组:妊娠期糖尿病(n= 34;I 组)、慢性动脉高血压(n= 25;II 组)、肥胖(体重指数超过 30 kg/m2;n= 31;III 组)、辅助生殖技术妊娠的高龄妇女(40 岁及以上)(n= 8;IV 组)和对照组(n= 60;V 组)。研究终点确定为子痫前期(早期和晚期)、胎儿生长受限以及服用乙酰水杨酸对胎盘相关并发症风险的影响。为了评估妊娠相关血浆蛋白-A和胎盘生长因子在预测子痫前期和胎儿生长受限方面的诊断价值,我们使用了多种模型,包括产妇特征和病史,以及平均动脉压、子宫动脉搏动指数、胎盘生长因子和妊娠相关血浆蛋白-A水平。统计数据处理采用 Prism 9 GraphPad(美国)软件。 结果:与对照组相比,所有高风险组的胎盘生长因子水平均显著下降(P= 0.032)。在发生子痫前期的患者中,胎盘生长因子水平在统计学上更低。妊娠相关血浆蛋白-A 和胎盘生长因子在预测子痫前期[曲线下面积 0.88 (0.81-0.94)和 0.93 (0.88-0.99)]、早期[曲线下面积 0.88 (0.77-0.95)和 0.95 (0.88-0.99)]和晚期[曲线下面积 0.86 (0.72-0.9)和 0.91 (0.81-0.97)]的有效性最高。胎儿生长受限预测的效果较差。从妊娠第12周到第35-36周服用乙酰水杨酸有助于降低子痫前期(相对风险为0.39;95%置信区间为0.23-0.65)和胎儿生长受限(胎儿生长受限亚组)(相对风险为0.38;95%置信区间为0.12-0.96)的总体发病风险。 结论:预测子痫前期和胎儿生长受限的最有效方法应包括评估母体因素、平均动脉压、子宫动脉搏动指数和胎盘生长因子。联合使用妊娠相关血浆蛋白-A和胎盘生长因子并不能显著改善预后。
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Different risk-assessment models for prediction of preeclampsia and fetal growth restriction in the first trimester in a high-risk pregnancy – which models are better?
BACKGROUND:An increase in the number of pregnant women with various extragenital and gynecological pathologies and motivation for delayed motherhood form a large cohort of patients with a high risk of adverse obstetric outcomes. In this regard, it is necessary to study new approaches that allow stratification of these risks and personalization of pregnancy management and timing of delivery. AIM:The aim of this study was to compare the predictive values of using blood placental growth factor and pregnancy-associated plasma protein-A levels in combined first-trimester screening for the prediction of preeclampsia and fetal growth restriction in a high-risk pregnancy. MATERIALS AND METHODS:This retrospective cohort study enrolled 158 women, who received antenatal care or gave birth on the premises from April 1, 2020 through December 31, 2022. The following comparison groups were defined: pregestational diabetes mellitus (n= 34; group I), chronic arterial hypertension (n= 25; group II); obesity (body mass index more than30 kg/m2;n= 31; group III), older women (40 years and older) with an assisted reproductive technologies pregnancy (n= 8; group IV), and the control group (n= 60; group V). The endpoints of the study were determined as preeclampsia (early and late forms), fetal growth restriction, and the effect of acetylsalicylic acid administration on the risk of placenta-related complications. Various models were used to evaluate the diagnostic value of pregnancy-associated plasma protein-A and placental growth factor in predicting preeclampsia and fetal growth restriction, including maternal characteristics and history, as well as mean arterial pressure, uterine artery pulsatility index, placental growth factor and pregnancy-associated plasma protein-A levels. Statistical data processing was performed using Prism 9 GraphPad (USA). RESULTS:In all high-risk groups, there was a significant decrease in placental growth factor levels compared to the control group (p= 0.032). In patients who have developed preeclampsia, placental growth factor levels were statistically lower. Pregnancy-associated plasma protein-A and placental growth factor have demonstrated the greatest validity for predicting preeclampsia [area under curve 0.88 (0.81–0.94), and 0.93 (0.88–0.99)], early [area under curve 0.88 (0.77–0.95), and0.95 (0.88–0.99)]and late [area under curve 0.86 (0.72–0.9), and 0.91 (0.81–0.97)] forms. Fetal growth restriction prediction was less effective. Administration of acetylsalicylic acid from week 12 to weeks 35–36 of pregnancy contributed to a decrease in the overall risk of developing preeclampsia (relative risk 0.39; 95% confidence interval 0.23–0.65) and fetal growth restriction (in the fetal growth restriction subgroup) (relative risk 0.38; 95% confidence interval 0.12–0.96). CONCLUSIONS:The most effective approach for predicting preeclampsia and fetal growth restriction should include assessment of maternal factors, mean arterial pressure, uterine artery pulsatility index, and placental growth factor. The combined use of pregnancy-associated plasma protein-A and placental growth factor does not significantly improve prognosis.
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来源期刊
Journal of obstetrics and women's diseases
Journal of obstetrics and women's diseases Medicine-Obstetrics and Gynecology
CiteScore
0.40
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53
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