The correlation between placental growth factor and small for gestational age infants: a matched case-control study.

IF 1.7 4区 医学 Q3 OBSTETRICS & GYNECOLOGY
Yimin Zhang, Shuming Shao, Qi Xu, Jiong Qin, Zheng Liu, Xiaorui Zhang
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引用次数: 0

Abstract

Background: At present, research has not found easily accessible, accurate, and safe clinical biomarkers that can effectively predict the occurrence of infants born small for gestational age (SGA). The aim of this study is to explore the predictive role of maternal placental growth factor (PIGF) levels on the occurrence of SGA infants.

Method: We conducted a matched case-control study on 226 SGA infants and 226 non-SGA infants born in the Department of Obstetrics, Peking University People's Hospital, from January 2021 to December 2022, with regular monitoring of maternal serum PIGF levels in second trimester during pregnancy. Apply multiple logistic regression analysis and receiver operating characteristic (ROC) curve analysis to determine whether PIGF is an independent influencing factor for the occurrence of SGA in infants, and evaluate whether PIGF can predict the occurrence of SGA in infants.

Results: Multiple logistic regression analysis found that multipara (HR = 0.484, 95% CI = 0.250-0.937, p = 0.031), maternal pre-pregnancy underweight (HR = 4.710, 95% CI = 1.881-11.792, p = 0.001), pre-eclampsia(HR = 2.291, 95% CI = 1.068-4.913, p = 0.033), low levels of PIGF (HR = 26.417, 95% CI = 12.850-54.311, p < 0.001) and oligohydramnios (HR = 4.764, 95% CI = 1.845-12.301, p = 0.001) were independent factors affecting the occurrence of infants born SGA. In addition, ROC curve analysis showed that the area under the curve (AUC) predicted by PIGF level and four other influencing factors for the occurrence of SGA infants were 0.834 and 0.723, respectively. In addition, the combination of PIGF and four other independent influencing factors improved the predictive value (AUC 0.902) for the birth of SGA infants, with enhanced sensitivity and specificity.

Conclusion: Low levels of PIGF in second trimester during pregnancy are an independent risk factor for SGA infants. Compared with other indicators, PIGF levels PIGF in second trimester are a better predictor of SGA in infants.

胎盘生长因子与胎龄小婴儿的相关性:一项匹配病例对照研究。
背景:目前,研究还没有发现容易获得、准确和安全的临床生物标志物,可以有效预测胎龄偏小婴儿(SGA)的发生。本研究旨在探讨母体胎盘生长因子(PIGF)水平对 SGA 婴儿发生率的预测作用:方法:对 2021 年 1 月至 2022 年 12 月在北京大学人民医院产科出生的 226 例 SGA 婴儿和 226 例非 SGA 婴儿进行配对病例对照研究。应用多元逻辑回归分析和接收者操作特征曲线(ROC)分析确定 PIGF 是否是婴儿 SGA 发生的独立影响因素,并评估 PIGF 是否能预测婴儿 SGA 的发生:多重逻辑回归分析发现,多胎妊娠(HR = 0.484,95% CI = 0.250-0.937,P = 0.031)、母亲孕前体重不足(HR = 4.710,95% CI = 1.881-11.792,P = 0.001)、子痫前期(HR = 2.291,95% CI = 1.068-4.913,P = 0.033)、PIGF 水平低(HR = 26.417,95% CI = 12.850-54.311,P = 0.001)是影响 SGA 出生婴儿发生的独立因素。此外,ROC 曲线分析显示,PIGF 水平和其他四个影响因素预测 SGA 婴儿发生率的曲线下面积(AUC)分别为 0.834 和 0.723。此外,PIGF 和其他四个独立影响因素的组合提高了对 SGA 婴儿出生的预测值(AUC 0.902),并增强了灵敏度和特异性:结论:孕期后三个月 PIGF 水平低是 SGA 婴儿出生的一个独立风险因素。与其他指标相比,妊娠后三个月的 PIGF 水平能更好地预测 SGA 婴儿的出生。
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来源期刊
CiteScore
4.40
自引率
0.00%
发文量
217
审稿时长
2-3 weeks
期刊介绍: The official journal of The European Association of Perinatal Medicine, The Federation of Asia and Oceania Perinatal Societies and The International Society of Perinatal Obstetricians. The journal publishes a wide range of peer-reviewed research on the obstetric, medical, genetic, mental health and surgical complications of pregnancy and their effects on the mother, fetus and neonate. Research on audit, evaluation and clinical care in maternal-fetal and perinatal medicine is also featured.
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