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Published on: August 5, 2017
Early-Life Predictors of Fetal Alcohol Spectrum Disorders
Wendy O Kalberg1, Philip A May1,2,3, David Buckley1
1Center on Alcoholism, Substance Abuse, and Addictions, University of New Mexico, Albuquerque, New Mexico.
Insights
Early identification of fetal alcohol spectrum disorders (FASD) is possible. Growth and dysmorphology assessments in infants can predict FASD by 9 months, enabling timely diagnosis and intervention.
Area of Science:
- Pediatric diagnostics
- Prenatal alcohol exposure research
- Developmental pediatrics
Background:
- Fetal alcohol spectrum disorders (FASD) encompass disabilities from prenatal alcohol exposure.
- Current diagnostic methods are most reliable in school-aged children, delaying early intervention.
- Infancy is the optimal period for initiating intervention services for FASD.
Purpose of the Study:
- To identify infant features predicting FASD at age 5.
- To improve the timeliness and accuracy of FASD diagnoses.
- To establish early diagnostic markers for prenatal alcohol-related disabilities.
Main Methods:
- Longitudinal follow-up of 155 infants from birth to 60 months in South Africa.
- Standardized assessments of growth, dysmorphology, and development at multiple time points.
- Maternal interviews estimated prenatal alcohol intake.
Main Results:
- Growth restriction and dysmorphology scores identified FASD by 9 months (AUC=0.777).
- Significant developmental differences emerged between 18 and 42 months.
- Mothers of children with FASD had lower BMI and higher prenatal alcohol intake.
Conclusions:
- Combining growth, dysmorphology, and neurobehavioral assessments enables early FASD identification.
- Accurate identification of most children with FASD is possible between 9 and 18 months.
- Early diagnosis facilitates timely intervention for children affected by prenatal alcohol exposure.
Background And Objectives:
Fetal alcohol spectrum disorders (FASD) comprise the continuum of disabilities associated with prenatal alcohol exposure. Although infancy remains the most effective time for initiation of intervention services, current diagnostic schemes demonstrate the greatest confidence, accuracy, and reliability in school-aged children. Our aims for the current study were to identify growth, dysmorphology, and neurodevelopmental features in infants that were most predictive of FASD at age 5, thereby improving the timeliness of diagnoses.
Methods:
A cohort of pregnant South African women attending primary health care clinics or giving birth in provincial hospitals was enrolled in the project. Children were followed longitudinally from birth to 60 months to determine their physical and developmental trajectories (N = 155). Standardized protocols were used to assess growth, dysmorphology, and development at 6 weeks and at 9, 18, 42, and 60 months. A structured maternal interview, including estimation of prenatal alcohol intake, was administered at 42 or 60 months.
Results:
Growth restriction and total dysmorphology scores differentiated among children with and without FASD as early as 9 months (area under the receiver operating characteristic curve = 0.777; P < .001; 95% confidence interval: 0.705-0.849), although children who were severely affected could be identified earlier. Assessment of developmental milestones revealed significant developmental differences emerging among children with and without FASD between 18 and 42 months. Mothers of children with FASD were significantly smaller, with lower BMIs and higher alcohol intake during pregnancy, than mothers of children without FASD.
Conclusions:
Assessment of a combination of growth, dysmorphology, and neurobehavioral characteristics allows for accurate identification of most children with FASD as early as 9 to 18 months.
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