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Fetal growth trajectories of babies born large-for-gestational age in the LIFECODES Fetal Growth Study
Paige A Bommarito1, David E Cantonwine2, Danielle R Stevens1
1Epidemiology Branch, Division of Intramural Research, National Institute of Environmental Health Sciences, Research Triangle Park, NC.
Insights
Large-for-gestational age births show varied fetal growth patterns. A "catch-up growth" subgroup faces higher risks, including pregestational diabetes mellitus and neonatal intensive care unit admission.
Area of Science:
- Perinatal medicine
- Fetal development research
- Maternal-fetal health
Background:
- Large-for-gestational age (LGA) births are linked to adverse outcomes like birth injuries and obesity.
- Limited research exists on fetal growth patterns within LGA populations, hindering identification of high-risk subgroups.
Purpose of the Study:
- To identify distinct fetal growth trajectories among LGA births.
- To investigate associations between these trajectories and sociodemographic, pregnancy, and birth outcome characteristics.
Main Methods:
- Utilized ultrasound measurements (head circumference, abdominal circumference, femur length z-scores) from 235 LGA births.
- Applied group-based multi-trajectory modeling to identify growth patterns from mid to late pregnancy.
- Summarized sociodemographic, pregnancy, and birth outcome data based on identified trajectory membership.
Main Results:
- Identified four fetal growth trajectories: catch-up growth, proportional AC-FL growth, disproportional AC-FL growth, and consistently large.
- The 'catch-up growth' group showed increased risk for pregestational diabetes mellitus (36%), macrosomia (86%), and NICU admission (32%).
- The 'consistently large' group exhibited the largest relative size and lower adverse birth outcome risk.
Conclusions:
- Fetal growth trajectories among LGA births are diverse and associated with varying risks.
- A 'catch-up growth' trajectory may indicate specific risks, particularly in the context of maternal pregestational diabetes mellitus.
- Adverse outcome risk is not uniform across all LGA births, necessitating subgroup analysis.
Background:
Babies born large-for-gestational age have an increased risk of adverse health outcomes, including birth injuries, childhood obesity, and cardiometabolic disorders. However, little work has been done to characterize patterns of fetal growth among large-for-gestational age births, which may further elucidate high- and low-risk subgroups.
Objective:
This study aimed to identify subgroups of large-for-gestational age births based on trajectories of fetal growth derived from prenatal ultrasound measurements and explore differences in sociodemographic, pregnancy, and birth outcome characteristics across subgroups.
Study Design:
This study identified and described trajectories of fetal growth among large-for-gestational age births (n=235) in the LIFECODES Fetal Growth Study. Ultrasound measurements of fetal growth in middle to late pregnancy were abstracted from health records. Group-based multi-trajectory modeling was applied to measurements of head circumference, abdominal circumference, and femur length z-scores to identify multivariate trajectories of fetal growth. Moreover, sociodemographic variables, pregnancy characteristics, and birth outcomes based on trajectory membership were summarized.
Results:
This study identified 4 multivariate trajectories of fetal growth among large-for-gestational age births: catch-up growth (n=28), proportional abdominal circumference-to-femur length growth (n=67), disproportional abdominal circumference-to-femur length growth (n=96), and consistently large (n=44). Fetuses in the "catch-up growth" group exhibited small relative sizes in midpregnancy (ie, below average head circumference, abdominal circumference, and femur length z-scores) and large relative sizes in late pregnancy. Growth among these births was driven by increases in relative abdominal circumference and head circumference sizes. Participants who delivered births assigned to this group were less likely to have normal glucose control (40% vs 65%-75%) and more likely to have pregestational diabetes mellitus (36% vs 10%-17%) than other large-for-gestational age subgroups. In addition, the babies in this trajectory group were more likely to have macrosomia (86% vs 67%-73%) and to be admitted to the neonatal intensive care unit (32% vs 14%-21%) than other large-for-gestational age subgroups. In contrast, babies in the "consistently large" group had the largest relative size for all growth parameters throughout gestation and experienced a lower risk of adverse birth outcomes than other large-for-gestational age subgroups.
Conclusion:
This study characterized several trajectories of fetal growth among large-for-gestational age births, which were related to different pregnancy characteristics and the distribution of adverse birth outcomes. Although the number of individuals within some trajectories was small, a subgroup that exhibited a catch-up growth phenotype during gestation was identified, which may be uniquely associated with exposure to pregestational diabetes mellitus and a higher risk of admission to the neonatal intensive care unit. These results have highlighted that the risk of adverse outcomes may not be evenly distributed across all large-for-gestational age births.
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