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Published on: January 12, 2018
Identifying the risk factors of autism spectrum disorders in infants born preterm: a systematic review and
Panpan Liu1, Shan Liu1, Jun Zhang2
1School of Nursing, Medical School Building 2, Wuhan University, No. 115 Donghu Road, Wuchang District, 430071, Wuhan, PR China.
Insights
Infants born preterm face higher autism spectrum disorder (ASD) risks. Researchers identified 22 potential prenatal and postnatal factors, but evidence certainty is low, requiring further study.
Area of Science:
- Neonatal Research
- Developmental Pediatrics
- Autism Spectrum Disorder Etiology
Background:
- Infants born preterm exhibit a higher incidence of autism spectrum disorder (ASD) compared to term-born infants.
- Specific risk factors contributing to ASD development in preterm infants remain largely undetermined.
- Understanding these factors is crucial for early identification and intervention strategies.
Purpose of the Study:
- To systematically identify and synthesize potential prenatal and postnatal risk factors associated with ASD in preterm infants.
- To evaluate the certainty of evidence for identified risk factors using the GRADE approach.
- To provide a foundation for future research and clinical guidance.
Main Methods:
- Systematic literature search across major databases (PubMed, Embase, Web of Science, CINAHL, Scopus) up to May 2025.
- Inclusion of observational studies reporting ASD in preterm infants.
- Meta-analyses performed using RevMan 5.4 and Stata 14.0, with evidence certainty assessed by GRADE.
Main Results:
- Forty-five studies were included in the review, with 40 contributing to meta-analyses.
- Twenty-two potential risk factors were identified, encompassing prenatal (e.g., male sex, SGA, low birth weight/gestational age) and postnatal factors (e.g., cranial abnormalities, CP, ROP, BPD, NEC, sepsis, NICU stay, ventilation duration).
- The certainty of evidence for most identified associations was rated as low or very low.
Conclusions:
- The study identified 22 prenatal and postnatal factors potentially linked to increased ASD risk in preterm infants.
- However, the low to very low certainty of evidence underscores the uncertainty surrounding these associations.
- High-quality prospective studies are essential to validate these findings and inform targeted preventive measures for preterm infants at risk of ASD.
Abstract:
Compared with infants born at term, infants born preterm are more likely to develop autism spectrum disorder (ASD), but specific risk factors remain uncertain. To identify possible risk factors associated with ASD development in infants born preterm. We systematically searched PubMed, Embase, Web of Science, CINAHL and Scopus to May 2025 for observational studies reporting ASD in infants born preterm. Meta-analyses used RevMan 5.4 and Stata 14.0. We assessed certainty of the evidence using the GRADE approach. A total of 45 studies were included in the systematic review, of which 40 were included in the meta-analyses. Twenty-two potential risk factors were identified. Prenatal factors included male, small for gestational age (SGA), lower birth weight, lower gestational age, low maternal education, ethnic minorities, antepartum hemorrhage (APH), and multiple births. Postnatal factors included severe cranial ultrasound abnormality, cerebral palsy (CP), severe retinopathy of prematurity (ROP), bronchopulmonary dysplasia (BPD), more days on mechanical ventilation, necrotizing enterocolitis (NEC), sepsis, longer neonatal intensive care unit (NICU) stay, delivery room resuscitation, longer duration of oxygen therapy, postnatal steroid administration, inotropic support, small head circumference (HC) at birth, and lack of breastfeeding. Overall, the certainty of evidence was low or very low, indicating that the associations between these risk factors and ASD in infants born preterm are highly uncertain. Our findings suggest that these 22 prenatal and postnatal factors may be associated with an increased risk of ASD in infants born preterm; however, due to low or very low certainty of evidence, the conclusions remain highly uncertain. Further high-quality prospective studies are needed to confirm these associations and to inform risk stratification and targeted preventive strategies.
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