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Investigating fetal growth restriction and perinatal risks in appropriate for gestational age infants: using cohort
S Cnattingius1, M S Kramer2,3, M Norman4,5
1Clinical Epidemiology Unit, Department of Medicine Solna, Karolinska University Hospital, Karolinska Institutet, Stockholm, Sweden.
Insights
Sibling birth weight data can identify fetal growth restriction in appropriate for gestational age (AGA) infants. Comparing siblings reveals growth-restricted infants with normal birth weights, improving diagnosis.
Area of Science:
- Perinatal Medicine
- Pediatric Epidemiology
- Reproductive Health
Background:
- Fetal growth restriction (FGR) is a critical condition where fetuses do not reach their growth potential.
- Identifying FGR in appropriate for gestational age (AGA) infants is challenging using population-based data alone.
- Within-sibling analyses offer a powerful approach to control for unmeasured familial factors.
Purpose of the Study:
- To analyze the association between birth weight percentiles and perinatal risks in AGA infants.
- To compare population-based and within-sibling analyses for detecting FGR.
- To determine if sibling birth weight data can improve the identification of FGR in AGA infants.
Main Methods:
- A population-based cohort study using nationwide Swedish registries (1987-2012).
- Inclusion of 2,134,924 singleton AGA births, with 1,377,326 identified as full siblings.
- Unconditional and conditional (matched) Poisson regression models were used to estimate incidence rate ratios (IRRs) for stillbirth, neonatal mortality, and morbidity.
Main Results:
- Stillbirth and neonatal mortality risks decreased with increasing birth weight percentiles, with more pronounced declines in within-sibling analyses.
- The risk of stillbirth was significantly higher in the lowest birth weight percentile groups (10th to <25th) in within-sibling analyses (IRR: 2.60) compared to population analyses (IRR: 1.87).
- Neonatal morbidity risks in term, non-malformed infants with low birth weight percentiles were primarily elevated in within-sibling analyses.
Conclusions:
- Within-sibling analysis of birth weight is a valuable tool for identifying fetal growth restriction in AGA infants.
- Comparing birth weights within sibling pairs can help detect growth-restricted infants who might otherwise be classified as having normal birth weights.
- This approach enhances the precision of FGR diagnosis, particularly in cases with seemingly normal birth weights.
Objective:
Fetal growth restriction refers to fetuses that fail to reach their growth potential. Studies within siblings may be useful to disclose fetal growth restriction in appropriate for gestational age (AGA) infants. We analysed associations between birthweight percentiles and perinatal risks in AGA infants, using both population-based and within-sibling analyses.
Design:
Population-based cohort study.
Setting And Sample:
Using nation-wide Swedish registries (1987-2012), we identified 2 134 924 singleton AGA births (10th-90th birthweight percentile for gestational age), of whom 1 377 326 were full siblings.
Methods:
Unconditional Poisson regression was used for population analyses, and conditional (matched) Poisson regression for within-sibling analyses. We estimated associations between birthweight percentiles and stillbirth, neonatal mortality, and morbidity, using incidence rate ratios (IRRs) with 95% confidence intervals (CIs).
Results:
Stillbirth and neonatal mortality risks declined with increasing birthweight percentiles, but the declines were larger in within-sibling analyses. Compared with the reference group (40th to <60th percentile), IRRs (95% CIs) of stillbirth for the lowest and highest percentile groups (10th to <25th and 75th-90th percentiles, respectively) were 1.87 (1.72-2.03) to 0.76 (0.68-0.85) in population analysis and 2.60 (2.27-2.98) and 0.43 (0.36-0.50) in within-sibling analysis. Neonatal morbidity risks in term non-malformed infants with low birthweight percentiles were generally only increased in within-sibling analyses.
Conclusion:
Using birthweight information from siblings may help to define fetal growth restriction in AGA infants.
Tweetable Abstract:
Size of siblings helps to detect growth-restricted infants with seemingly normal birthweights.
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