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Small for gestational age and risk of childhood mortality: A Swedish population study
Jonas F Ludvigsson1,2,3,4, Donghao Lu1,5, Lennart Hammarström6
1Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Insights
Children born small for gestational age (SGA) face higher childhood mortality risks, particularly from infections and neurological diseases. This increased risk persists beyond infancy, highlighting the importance of monitoring SGA infants long-term.
Area of Science:
- Pediatric Health
- Perinatal Epidemiology
- Childhood Mortality Studies
Background:
- Small for gestational age (SGA) is linked to neonatal mortality, but long-term childhood death risks are less understood.
- Antenatal care reducing SGA births may aid in lowering under-5 mortality rates globally.
Purpose of the Study:
- To investigate the association between SGA and mortality from 28 days to 18 years.
- Utilize both population-based and sibling control designs for robust analysis.
Main Methods:
- Swedish population study of over 3.7 million live births and 2.7 million sibling pairs (1973-2012).
- Compared severe (<3rd percentile) and moderate (3rd to <10th percentile) SGA infants to non-SGA peers and siblings.
- Employed Cox proportional hazards and flexible parametric survival models.
Main Results:
- Severe SGA significantly increased mortality risk (Population HR=2.58, Sibling HR=2.61).
- Moderate SGA also showed increased risk (Population HR=1.37, Sibling HR=1.38).
- Excess risk was highest in the first year but extended through childhood, notably for infection and neurologic disease deaths.
Conclusions:
- SGA, especially severe SGA, is associated with elevated childhood mortality risk beyond the neonatal period.
- Findings suggest minimal confounding from shared family factors, reinforcing the SGA-mortality link.
- Increased risk for infection and neurologic disease deaths in SGA children warrants further investigation.
Background:
Small for gestational age (SGA) has been associated with increased risks of stillbirth and neonatal mortality, but data on long-term childhood mortality are scarce. Maternal antenatal care, including globally reducing the risk of SGA birth, may be key to achieving the Millennium Development Goal of reducing under-5 mortality. We therefore aimed to examine the association between SGA and mortality from 28 days to <18 years using a population-based and a sibling control design.
Methods And Findings:
In a Swedish population study, we identified 3,795,603 non-malformed singleton live births and 2,781,464 full siblings born from January 1, 1973, to December 31, 2012. We examined the associations of severe (<3rd percentile) and moderate (3rd to <10th percentile) SGA with risks of death from 28 days to <18 years after birth. Children born SGA were first compared to non-SGA children from the population, and then to non-SGA siblings. The sibling-based analysis, by design, features a better control for unmeasured factors that are shared between siblings (e.g., socioeconomic status, lifestyle, and genetic factors). Hazard ratios (HRs) were calculated using Cox proportional hazards and flexible parametric survival models. During follow-up (1973-2013), there were 10,838 deaths in the population-based analysis and 1,572 deaths in sibling pairs with discordant SGA and mortality status. The crude mortality rate per 10,000 person-years was 5.32 in children born with severe SGA, 2.76 in children born with moderate SGA, and 1.93 in non-SGA children. Compared with non-SGA children, children born with severe SGA had an increased risk of death in both the population-based (HR = 2.58, 95% CI = 2.38-2.80) and sibling-based (HR = 2.61, 95% CI = 2.19-3.10) analyses. Similar but weaker associations were found for moderate SGA in the population-based (HR = 1.37, 95% CI = 1.28-1.47) and sibling-based (HR = 1.38, 95% CI = 1.22-1.56) analyses. The excess risk was most pronounced between 28 days and <1 year of age but remained throughout childhood. The greatest risk increase associated with severe SGA was noted for deaths due to infection and neurologic disease. Although we have, to our knowledge, the largest study sample so far addressing the research question, some subgroup analyses, especially the analysis of cause-specific mortality, had limited statistical power using the sibling-based approach.
Conclusions:
We found that SGA, especially severe SGA, was associated with an increased risk of childhood death beyond the neonatal period, with the highest risk estimates for death from infection and neurologic disease. The similar results obtained between the population- and sibling-based analyses argue against strong confounding by factors shared within families.
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