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Trajectories of Maternal Placental Growth Factor Levels from Early to Late Pregnancy: Prenatal Factors and Adverse Perinatal Outcomes
by
Guo, Yajie
, Fan, Wenjun
, Han, Cha
, Fang, Lingyi
, Lv, Minhui
, Gao, Xiaoli
, Li, Huanrong
in
Adverse perinatal outcomes
/ Original Research
/ Placental growth factor
/ Prenatal factors
/ Trajectory
2026
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Trajectories of Maternal Placental Growth Factor Levels from Early to Late Pregnancy: Prenatal Factors and Adverse Perinatal Outcomes
by
Guo, Yajie
, Fan, Wenjun
, Han, Cha
, Fang, Lingyi
, Lv, Minhui
, Gao, Xiaoli
, Li, Huanrong
in
Adverse perinatal outcomes
/ Original Research
/ Placental growth factor
/ Prenatal factors
/ Trajectory
2026
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Do you wish to request the book?
Trajectories of Maternal Placental Growth Factor Levels from Early to Late Pregnancy: Prenatal Factors and Adverse Perinatal Outcomes
by
Guo, Yajie
, Fan, Wenjun
, Han, Cha
, Fang, Lingyi
, Lv, Minhui
, Gao, Xiaoli
, Li, Huanrong
in
Adverse perinatal outcomes
/ Original Research
/ Placental growth factor
/ Prenatal factors
/ Trajectory
2026
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Trajectories of Maternal Placental Growth Factor Levels from Early to Late Pregnancy: Prenatal Factors and Adverse Perinatal Outcomes
Journal Article
Trajectories of Maternal Placental Growth Factor Levels from Early to Late Pregnancy: Prenatal Factors and Adverse Perinatal Outcomes
2026
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Overview
Knowledge on longitudinal trajectories of maternal placental growth factor (PlGF) levels, their prenatal factors, and their associations with adverse perinatal outcomes is lacking. We sought to identify PlGF trajectories, examine associations of prenatal factors with these trajectories, and determine whether these trajectories are associated with adverse perinatal outcomes.
This retrospective cohort study included 438 pregnant women with multiple PlGF measurements. Group-based trajectory modeling identified distinct PlGF trajectories. Logistic and linear regression examined associations of trajectories with prenatal factors and adverse perinatal outcomes.
Three PlGF trajectories were identified. The high (46.6%) and moderate (40.6%) PlGF level trajectories tracked together until the late second trimester, after which the moderate trajectory plateaued and then declined steeply in the third trimester while the high trajectory remained elevated, peaking in the early third trimester before declining gradually. The low PlGF level trajectory (12.8%) maintained the lowest overall levels, rising modestly to an early peak before declining progressively. Uterine fibroids were associated with higher odds of the moderate and low trajectories, as was a history of late adverse obstetric outcomes. Conversely, a history of early pregnancy loss was associated with reduced odds of these trajectories. Additionally, each 1 kg/m
increase in pre-pregnancy body mass index (BMI) was associated with higher odds of the low trajectory. Compared with the high trajectory, the low trajectory was associated with increased odds of placental insufficiency, preeclampsia, and preterm delivery, alongside reductions in neonatal birth weight and length. The moderate trajectory was associated with increased odds of preterm delivery before 37 weeks and reduced neonatal birth weight.
Maternal PlGF trajectories are shaped by prenatal factors. Both moderate and low trajectories markedly increase the odds of adverse perinatal outcomes, underscoring the potential value of dynamic PlGF monitoring for early risk stratification and identification of high-risk pregnancies.
Publisher
Dove Press,Dove Medical Press
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