Surveillance of fetal alcohol syndrome (FAS) is important for monitoring the effects of prenatal alcohol exposure and describing the public health burden of this preventable disorder. Building on the infrastructure of the Fetal Alcohol Syndrome Surveillance Network (FASSNet, 1997-2002), in 2009 the Centers for Disease Control and Prevention awarded 5-year cooperative agreements to three states, Arizona, Colorado, and New York, to conduct population-based surveillance of FAS. The Fetal Alcohol Syndrome Surveillance Network II (FASSNetII, 2009-2014) developed a surveillance case definition based on three clinical criteria: characteristic facial features, central nervous system abnormalities, and growth deficiency. FASSNetII modified the FASSNet methods in three important ways: (1) estimation of a period prevalence rather than birth prevalence; (2) surveillance of FAS among school-age children (ages 7-9 years) to better document the central nervous system abnormalities that are not apparent at birth or during infancy; and (3) implementation of an expert clinical review of abstracted data for probable and confirmed cases classified through a computerized algorithm. FASSNetII abstracted data from multiple sources including birth records, medical records from child development centers or other specialty clinics, and administrative databases such as hospital discharge and Medicaid. One challenge of FASSNetII was its limited access to non-medical records. The FAS prevalence that could be estimated was that of the population identified through an encounter with the healthcare system. Clinical and public health programs that identify children affected by FAS provide critical information for targeting preventive, medical and educational services in this vulnerable population.

Fetal alcohol syndrome (FAS) is a serious birth defect and developmental disorder caused by in utero exposure to alcohol. Assessment of the public health burden of FAS through surveillance has proven difficult; there is wide variation in reported prevalence depending on the study population and surveillance method. Generally, records-based birth prevalence studies report estimates of 0.2-1.5 per 1,000 live births, whereas studies that use in-person, expert assessment of school-aged children in a community report estimates of 6-9 per 1,000 population. The Fetal Alcohol Syndrome Surveillance Network II addressed some of the challenges in records-based ascertainment by assessing a period prevalence of FAS among children aged 79 years in Arizona, Colorado, and New York. The prevalence across sites ranged from 0.3 to 0.8 per 1,000 children. Prevalence of FAS was highest among American Indian/Alaska Native children and lowest among Hispanic children. These estimates continue to be much lower than those obtained from studies using in-person, expert assessment. Factors that might contribute to this discrepancy include 1) inadequate recognition of the physical and behavioral characteristics of FAS by clinical care providers; 2) insufficient documentation of those characteristics in the medical record; and 3) failure to consider prenatal alcohol exposure with diagnoses of behavioral and learning problems. Addressing these factors through training of medical and allied health providers can lead to practice changes, ultimately increasing recognition and documentation of the characteristics of FAS.

BACKGROUND: Explore the use of electronic health records (EHRs) in fetal alcohol syndrome (FAS) surveillance systems. METHODS: Using EHRs we identified diagnoses and anthropometric measurements related to the FAS criteria developed by the Fetal Alcohol Syndrome Surveillance Network (FASSNet) among children aged 0 to 12 years. RESULTS: There were 143,393 distinct children aged between 0 and 12 years enrolled in Kaiser Permanente, Georgia, during the study period. Based on diagnoses and anthropometric measurements, 20,101 children met at least one criterion of interest, and when grouped into combinations of different criteria there were 2285 who met GROWTH+CNS criteria, 76 children who met GROWTH+FACE criteria, 107 children who met CNS+FACE criteria, and 93 children who met GROWTH+CNS+FACE criteria. The prevalence of FAS as defined by FASSNet is 1.92 per 1000 children. We linked 17,084 (85.0%) children to their mothers in the health plan; only 3% of mothers of children in the GROWTH+CNS+FACE group had an indication of alcohol or drugs use, but they had the highest rate of depression (39%). CONCLUSION: Data of utility in identification of FAS are readily available in EHRs and may serve as a basis for intervention with at-risk children and in planning of future FAS surveillance programs.

BACKGROUND: Congenital hydrocephalus is a condition characterized by accumulation of cerebrospinal fluid in the ventricles of the brain. Prenatal infections are risk factors for some birth defects. This pilot study investigated whether residual dried blood spots (DBS) could be used to assess infections as risk factors for birth defects by examining the associations between prenatal infection with Toxoplasma gondii (T. gondii) or cytomegalovirus (CMV) with congenital hydrocephalus. METHODS: Case-infants with hydrocephalus (N = 410) were identified among live-born infants using birth defects surveillance systems in California, North Carolina, and Texas. Control-infants without birth defects were randomly selected from the same geographic areas and time periods as case-infants (N = 448). We tested residual DBS from case- and control-infants for T. gondii immunoglobulin M and CMV DNA. When possible, we calculated crude odds ratios (cORs) and confidence intervals (CIs). RESULTS: Evidence for prenatal T. gondii infection was more common among case-infants (1.2%) than control-infants (0%; p = 0.11), and evidence for prenatal CMV infection was higher among case-infants (1.5%) than control-infants (0.7%; cOR: 2.3; 95% CI: 0.48, 13.99). CONCLUSIONS: Prenatal infections with T. gondii and CMV occurred more often among infants with congenital hydrocephalus than control-infants, although differences were not statistically significant. This pilot study highlighted some challenges in using DBS to examine associations between certain infections and birth defects, particularly related to reduced sensitivity and specimen storage conditions. Further study with increased numbers of specimens and higher quality specimens should be considered to understand better the contribution of these infections to the occurrence of congenital hydrocephalus. (Birth Defects Research (Part A), 2013. (c) 2013 Wiley Periodicals, Inc.)

Although maternal age has been associated with a number of birth defects in several reports, the literature on the association of maternal age with isolated congenital heart defect (CHD) phenotypes has been limited. We evaluated CHD prevalence based on a cohort of 5,289 infants and fetuses with isolated CHDs born during the period 1968-2005 and ascertained by the Metropolitan Atlanta Congenital Defects Program (MACDP) among residents of five central counties in Atlanta. For our denominator, we obtained information on births to residents of the same counties from vital records (n = 1,301,143). We calculated prevalence ratios for 23 CHD phenotypes by several maternal age categories, using the group 25-29 years of age as a reference group. We used Poisson regression models to estimate adjusted prevalence ratios (aPRs) and 95% confidence intervals (CIs), controlling for maternal race, infant sex, and birth cohort. A maternal age of 35 years or older was associated with an increased prevalence for several CHD phenotypes: laterality defects (aPR = 2.06; CI 1.22-3.48), all conotruncal defects (aPR = 1.30; CI 1.03-1.65), and specifically for dextro-transposition of the great arteries (aPR = 1.65; CI 1.10-2.48), coarctation of the aorta (aPR = 1.54; CI 1.10-2.16), ventricular septal defects (aPR = 1.20; CI 1.06-1.36), and atrial septal defects (aPR = 1.36; CI 1.05-1.77). Our findings suggest that the birth prevalence of specific isolated CHDs varies with maternal age. Further studies are warranted to corroborate these observations, taking into account potential confounding by known modifiable risk factors. Published 2011 Wiley-Liss, Inc.

OBJECTIVE: To identify the proportion of major structural noncardiac anomalies identified with congenital heart defects (CHDs). STUDY DESIGN: Records of infants with CHDs in the Metropolitan Atlanta Congenital Defects Program who were born during the period 1968 through 2005 were classified as having isolated, syndromic, multiple CHD (ie, having an unrecognized pattern of multiple congenital anomalies or a recognized pattern of multiple congenital anomalies of unknown etiology), or laterality defects. Frequencies of associated noncardiac anomalies were obtained. RESULTS: We identified 7984 live-born and stillborn infants and fetuses with CHDs. Among them, 5695 (71.3%) had isolated, 1080 (13.5%) had multiple, 1048 (13.1%) had syndromic, and 161 (2.0%) had laterality defects. The percentage of multiple congenital anomalies was highest for case with atrial septal defects (18.5%), cardiac looping defects (17.2%), and conotruncal defects (16.0%), and cases with atrioventricular septal defects represented the highest percentages of those with syndromic CHDs (66.7%). CONCLUSIONS: Including those with syndromes and laterality defects, 28.7% of case infants with CHDs had associated major noncardiac malformations. Thus, infants with CHDs warrant careful examination for the presence of noncardiac anomalies.

Nonsyndromic atrioventricular septal defects (AVSDs) are serious congenital heart defects for which information on prevalence and descriptive characteristics based on large, geographically, and ethnically diverse populations has been limited. To describe the birth prevalence and phenotype of nonsyndromic AVSDs, we used data from the National Birth Defects Prevention Study (NBDPS), a multisite, population-based case-control study aimed at identifying genetic and environmental risk factors for birth defects. For this analysis, infants born during the period 1997-2005 and meeting the NBDPS case definition for AVSDs were included. Infants with an AVSD associated with recognized or strongly suspected chromosomal abnormalities or single-gene disorders (syndromic case infants) were excluded. We identified 302 infants with a nonsyndromic AVSD for a birth prevalence of 0.83/10,000 livebirths. Over 20% of infants with an AVSD had an additional major birth defect, with gastrointestinal, renal or urinary, and central nervous system defects being the most common. A lower prevalence of AVSDs was seen among infants born to Hispanic mothers compared with those born to non-Hispanic White mothers [prevalence ratio = 0.63 (95% confidence interval: 0.46-0.86)]. Understanding the prevalence of nonsyndromic AVSDs, demographic factors associated with their occurrence, and associated defects could help guide clinical care, as well as contribute to a better understanding of pathogenesis. (c) 2011 Wiley-Liss, Inc.

BACKGROUND: Newborn screening programs store-under varying conditions-residual dried blood spots (DBS). Residual DBS were used to investigate the contribution of congenital infection with Toxoplasma gondii to the etiology of hydrocephalus and as a key step, we assessed the effect of storage conditions on the stability of newborn screening biomarkers. METHODS: Infants with hydrocephalus (410 cases) were identified using population-based birth defects surveillance systems in California, North Carolina, and Texas. Infants without birth defects (448 controls) were randomly selected from the same geographic areas and time periods. California stores DBS with controlled temperature, while North Carolina and Texas store DBS under ambient conditions. After removal of personal identifiers, DBS were tested for Toxo-specific immunoglobulin-M (Toxo-IgM). Because of poor elution of DBS stored in ambient conditions, additional biomarkers were tested on a specimen subset. RESULTS: Among 858 DBS tested, Toxo-IgM was found in 3 cases and no controls from California (N=515) and in no specimens from North Carolina or Texas (N=343). Among the 98 specimens tested for selected biomarkers, statistically significant differences were found for California vs. combined North Carolina and Texas DBS (thyroid stimulating hormone, phenylalanine, methionine, leucine, citrulline p<0.0001; tyrosine, valine p<0.001). CONCLUSIONS: Storage conditions for residual DBS had an effect on the ability to extract, recover, and accurately measure Toxo-IgM and other biomarkers from the filter paper matrix.

OBJECTIVE: To examine the variation in survival in infants with atrioventricular septal defects (AVSD) with demographic factors and clinical characteristics, including the presence of Down syndrome. STUDY DESIGN: We selected infants with all types of AVSD with Down syndrome (n = 177) and without Down syndrome (n = 161), born between Jan 1, 1979, and Dec 31, 2003 and identified through the Metropolitan Atlanta Congenital Defects Program (MACDP). Infants were classified by the complexity of their cardiac defects and presence of major non-cardiac malformations. Deaths (n = 111) were identified through 2004 with linkage with state vital records and the National Death Index. Kaplan-Meier survival probabilities and adjusted hazard ratios (HRs) were calculated in relation to demographic and clinical characteristics. RESULTS: Children with AVSD and Down syndrome had a similar overall survival probability (70%) as those without Down syndrome (69%). Mortality was higher in children with a complex AVSD (adjusted HR = 7.0; 95% CI, 3.1-15.5) and in children with ≥2 major non-cardiac malformations (adjusted HR = 3.4; 95% CI, 1.8-6.5) and was lower in children in the 1992 to 2003 birth cohort (adjusted HR = 0.6; 95% CI, 0.4-0.998). CONCLUSIONS: Down syndrome was not a prognostic factor. Our findings might be helpful in assessing the long-term prognosis of infants with AVSD.

Holoprosencephaly (HPE) is a complex structural brain anomaly that results from incomplete cleavage of the forebrain. The prevalence of HPE at birth is low, and risk factors have been difficult to identify. Using data from a large multi-state population-based case-control study, we examined risk factors for non-syndromic HPE. Data from maternal telephone interviews were available for 74 infants with HPE and 5871 controls born between 1997 and 2004. Several characteristics and exposures were examined, including pregnancy history, medical history, maternal diet and use of nutritional supplements, medications, tobacco, alcohol, and illegal substances. We used chi(2)-tests and logistic regression (excluding women with pre-existing diabetes) to examine associations with HPE. Except for diet (year before pregnancy) and sexually transmitted infections (STIs) (throughout pregnancy), most exposures were examined for the time period from the month before to the third month of pregnancy. HPE was found to be associated with pre-existing diabetes (chi(2) = 6.0; P = 0.01), aspirin use [adjusted odds ratio (aOR) = 3.4; 95% confidence interval (CI) 1.6-6.9], lower education level (aOR = 2.5; 95%CI 1.1-5.6), and use of assisted reproductive technologies (ART) (crude OR = 4.2; 95%CI 1.3-13.7). Consistent maternal folic acid use appeared to be protective (aOR = 0.4; 95%CI 0.2-1.0), but the association was of borderline statistical significance. While some of these findings support previous observations, other potential risk factors identified warrant further study.