A multiparameter model combining ultrasound and maternal serum biomarkers accurately predicts late-onset fetal growth restriction.

IF 1.8 4区 医学 Q3 MEDICINE, RESEARCH & EXPERIMENTAL
American journal of translational research Pub Date : 2026-08-15 eCollection Date: 2026-01-01 DOI:10.62347/FAHT7495
Yaqin Li, Botao Yang, Liman Fu, Wei Zhang
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引用次数: 0

Abstract

Objectives: Late-onset fetal growth restriction (FGR) in pregnancy is frequently encountered and is linked to adverse perinatal results. This investigation aimed to evaluate the clinical use of a multiparameter model combining ultrasound features and maternal serum biomarkers for late-onset FGR.

Methods: A retrospective investigation was conducted on 350 pregnant women in their third trimester who received standard prenatal care between January 2021 and December 2025. Participants were divided into a late-onset FGR group (n = 175) and a normal fetal development group (n = 175) according to the Chinese expert consensus criteria. Ultrasound findings including fetal biometry and Doppler flow indices were measured. Maternal serum levels of soluble fms-like tyrosine kinase-1 (sFlt-1) and placental growth factor (PLGF) were quantified through enzyme-linked immunosorbent assay. Subsequently, the sFlt-1 to PLGF ratio (sFlt-1/PLGF) was calculated.

Results: Among the 350 enrolled women, the FGR group exhibited markedly reduced abdominal circumference, estimated fetal weight, cerebroplacental ratio, and elevated uterine artery-pulsatility index and sFlt-1/PLGF compared to those in the normal group (all P < 0.05). The multiparameter evaluation model achieved an area under the curve of 0.977, demonstrating a sensitivity of 91.4% and specificity of 92.6% at the optimal threshold.

Conclusions: The multiparameter model integrating ultrasound features and maternal serum biomarkers demonstrated excellent predictive performance for late-onset FGR, supporting its clinical use for early identification and management.

结合超声和母体血清生物标志物的多参数模型准确预测迟发性胎儿生长受限。
目的:迟发性胎儿生长受限(FGR)在妊娠是经常遇到的,并与不良围产期结果有关。本研究旨在评估结合超声特征和母体血清生物标志物的多参数模型在迟发性FGR中的临床应用。方法:对2021年1月至2025年12月期间接受标准产前护理的350例妊娠晚期孕妇进行回顾性调查。根据中国专家共识标准,将参与者分为晚发型FGR组(n = 175)和正常胎儿发育组(n = 175)。超声检查结果包括胎儿生物测量和多普勒血流指数。采用酶联免疫吸附法测定孕妇血清可溶性纤维样酪氨酸激酶-1 (sFlt-1)和胎盘生长因子(PLGF)水平。然后计算sFlt-1与PLGF的比值(sFlt-1/PLGF)。结果:与正常组相比,FGR组患者的腹围、胎儿体重、脑胎盘比、子宫动脉搏动指数和sFlt-1/PLGF均显著降低(P < 0.05)。多参数评价模型的曲线下面积为0.977,在最佳阈值下灵敏度为91.4%,特异度为92.6%。结论:结合超声特征和母体血清生物标志物的多参数模型对迟发性FGR具有良好的预测效果,支持其临床应用于早期识别和管理。
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
American journal of translational research
American journal of translational research ONCOLOGY-MEDICINE, RESEARCH & EXPERIMENTAL
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552
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