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. 2023 Apr 24;20(4):e1004225.
doi: 10.1371/journal.pmed.1004225. eCollection 2023 Apr.

Association between antenatal diagnosis of late fetal growth restriction and educational outcomes in mid-childhood: A UK prospective cohort study with long-term data linkage study

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Association between antenatal diagnosis of late fetal growth restriction and educational outcomes in mid-childhood: A UK prospective cohort study with long-term data linkage study

Laurentya Olga et al. PLoS Med. .

Abstract

Background: Fetal growth restriction (FGR) is associated with a suboptimal intrauterine environment, which may adversely impact fetal neurodevelopment. However, analysing neurodevelopmental outcomes by observed birthweight fails to differentiate between true FGR and constitutionally small infants and cannot account for iatrogenic intervention. This study aimed to determine the relationship between antenatal FGR and mid-childhood (age 5 to 7 years) educational outcomes.

Methods and findings: The Pregnancy Outcome Prediction Study (2008-2012) was a prospective birth cohort conducted in a single maternity hospital in Cambridge, United Kingdom. Clinicians were blinded to the antenatal diagnosis of FGR. FGR was defined as estimated fetal weight (EFW) <10th percentile at approximately 36 weeks of gestation, plus one or more indicators of placental dysfunction, including ultrasonic markers and maternal serum levels of placental biomarkers. A total of 2,754 children delivered at term were divided into 4 groups: FGR, appropriate-for-gestational age (AGA) with markers of placental dysfunction, healthy small-for-gestational age (SGA), and healthy AGA (referent). Educational outcomes (assessed at 5 to 7 years using UK national standards) were assessed with respect to FGR status using regression models adjusted for relevant covariates, including maternal, pregnancy, and socioeconomic factors. Compared to healthy AGA (N = 1,429), children with FGR (N = 250) were at higher risk of "below national standard" educational performance at 6 years (18% versus 11%; aOR 1.68; 95% CI 1.12 to 2.48, p = 0.01). By age 7, children with FGR were more likely to perform below standard in reading (21% versus 15%; aOR 1.46; 95% CI 0.99 to 2.13, p = 0.05), writing (28% versus 23%; aOR 1.46; 95% CI 1.02 to 2.07, p = 0.04), and mathematics (24% versus 16%; aOR 1.49; 95% CI 1.02 to 2.15, p = 0.03). This was consistent whether FGR was defined by ultrasound or biochemical markers. The educational attainment of healthy SGA children (N = 126) was comparable to healthy AGA, although this comparison may be underpowered. Our study design relied on linkage of routinely collected educational data according to nationally standardised metrics; this design allowed a high percentage of eligible participants to be included in the analysis (75%) but excludes those children educated outside of government-funded schools in the UK. Our focus on pragmatic and validated measures of educational attainment does not exclude more subtle effects of the intrauterine environment on specific aspects of neurodevelopment.

Conclusions: Compared to children with normal fetal growth and no markers of placental dysfunction, FGR is associated with poorer educational attainment in mid-childhood.

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Conflict of interest statement

I have read the journal’s policy and the authors of this manuscript have the following competing interests: GS has no direct conflict of interest. GS has received research support from Roche Diagnostics Ltd, Illumina and Sera Prognostics (fetal growth restriction, preeclampsia and preterm birth). GS’s department has received payment from Roche for a talk given by GS (fetal growth restriction). GS has been a paid consultant to GSK (preterm birth) and is a member of a Data Monitoring Committee for GSK trials of RSV vaccination in pregnancy. GS and US are two of three named inventors on a patent application (PCT/GB2020/053312) filed by Cambridge Enterprise for novel predictive test for fetal growth disorder. GS serves on PLOS Medicine’s editorial board. The other authors have no conflicts of interest including financial interests, activities, relationships, and affiliations to declare.

Figures

Fig 1
Fig 1. Cohort profile.
Number of participants from recruitment to POP study through identification of analytic sample. Approximately 75% of participants who were eligible for linkage (2,754/3,677) are included in the analytic sample, which represents 65% of the total participants originally recruited (2,754/4,212). EFW, estimated fetal weight; FGR, fetal growth restriction; GP, General Practitioner; LGA, large-for-gestational age; POPS, Pregnancy Outcome Prediction Study.

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