Perinatal and NEONATAL RISK FACTORS for AUTISM: LESSONS and Challenges of Meta-ANALYSIS

Saturday, May 19, 2012: 2:00 PM
Dominion Ballroom (Sheraton Centre Toronto)
1:30 PM
S. L. Buka, Department of Epidemiology, Brown University, Providence, RI
Context:  The etiology of autism is unknown, although perinatal and neonatal exposures have been the focus of epidemiologic research for over 40 years. 

Objective:  To provide a comprehensive review and meta-analysis of the association between perinatal and neonatal factors and autism risk; further, to discuss the heterogeneous evidence regarding obstetric suboptimality and autism, and share recommendations to improve methodological rigor.

Data Sources and study selection:  PubMed, Embase, and PsycInfo databases were searched for studies that examined the association between perinatal and neonatal factors and autism through March, 2007.  Forty studies were eligible for the meta-analysis.

Data extraction: For each exposure, a summary effect estimate was calculated using a random effects model.  Heterogeneity in effect estimates across studies was examined and, if found, a meta-regression was conducted to identify measured methodological factors that could explain between-study variability

Results:  Over 60 perinatal and neonatal factors have been examined.  Factors associated with autism risk in the meta-analysis were abnormal presentation, umbilical cord complications, fetal distress, birth injury/trauma, multiple birth, maternal hemorrhage, summer birth, low birthweight, small for gestational age, congenital malformation, low 5-minute Apgar score, feeding difficulties, meconium aspiration, neonatal anemia, ABO or Rh incompatibility, and hyperbilirubinemia.  Factors not associated with autism risk included anesthesia, assisted vaginal delivery, post-term birth, high birthweight, and head circumference.   

Conclusions:  There is insufficient evidence to implicate any one perinatal or neonatal factor in autism aetiology, although there is some evidence to suggest that exposure to a broad class of conditions reflecting general compromises to perinatal and neonatal health may increase the risk.  Methodological variations were likely sources of heterogeneity of risk factor effects across studies

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