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This study used a real-world population as a synthetic comparator for the single-arm TRANSCEND NHL 001 study (TRANSCEND; NCT02631044) to evaluate the efficacy of lisocabtagene maraleucel (liso-cel) compared with conventional (noncellular) therapies in patients with relapsed/refractory (R/R) large B-cell lymphoma (LBCL). Inclusion and exclusion criteria for the real-world study closely matched the enrollment criteria in TRANSCEND. The analytic comparator cohort was created by matching and balancing observed baseline characteristics of real-world patients with those in TRANSCEND using propensity score methodology. Efficacy outcomes comparing liso-cel– (n = 257) and conventional therapy–treated (n = 257) patients, respectively, significantly favored liso-cel: overall response rate (74% vs 39%; p < 0.0001), complete response rate (50% vs 24%; p < 0.0001), median overall survival (23.5 vs 6.8 months; p < 0.0001), and median progression-free survival (3.5 vs 2.2 months; p < 0.0001). These results demonstrated a statistically significant and clinically meaningful benefit of liso-cel in patients with third- or later-line R/R LBCL relative to conventional therapies. Clinical trial registration: ClinicalTrials.gov identifier: NCT02631044.

Most U.S. overnight youth camps did not operate during the summer of 2020 because of the COVID-19 pandemic* (1). Several that did operate demonstrated that multiple prevention strategies, including pre- and postarrival testing for SARS-CoV-2, the virus that causes COVID-19, masking, and physical distancing helped prevent the introduction and spread of COVID-19; in contrast, camps that relaxed prevention strategies, such as requiring a single prearrival test without subsequent testing, experienced outbreaks (2-4). The availability of COVID-19 vaccines for persons aged ≥12 years enabled implementation of an additional prevention strategy that was not available in summer 2020. This study assessed the number of COVID-19 cases and potential secondary spread among 7,173 staff members and campers from 50 states, 13 countries, and U.S. military overseas bases at nine independently operated U.S. summer youth camps affiliated with the same organization. The camps implemented multiple prevention strategies including vaccination, testing, podding (cohorting), masking, physical distancing, and hand hygiene during June-August 2021. Vaccination coverage was 93% among eligible persons aged ≥12 years.† All staff members (1,955) and campers (5,218) received site-specific, protocol-defined screening testing, which included prearrival testing and screening tests during the camp session (38,059 tests). Screening testing identified six confirmed COVID-19 cases (one in a staff member and five in campers) by reverse transcription-polymerase chain reaction (RT-PCR) testing (screening test positivity rate = 0.02%). Three additional cases (in two staff members and one camper) were identified based on symptoms and were confirmed by RT-PCR testing. Testing for SARS-CoV-2, isolation, and quarantine in a population with high vaccination coverage resulted in no known secondary transmission of SARS-CoV-2 identified during camp. Implementation of multicomponent strategies is critical for prevention of COVID-19 outbreaks in congregate settings, including overnight youth camps.

Breast cancer is considered to be a relatively immunologically “silent” tumor type. However, there is substantial heterogeneity in breast cancer, including differences in the immune microenvironment of tumors. For example, differences in the immune profile of primary and metastatic breast tumors have been observed. A deeper investigation of the immune profile of primary and metastatic breast tumors would enhance our understanding of late-stage breast cancer and provide insights that can guide the development of immunotherapies for primary or metastatic disease. In the current study, we explored differences in the immune microenvironment of primary and metastatic breast tumors in a clinico-genomic, real-world cohort (Tempus) of 420 subjects with breast cancer. Use of a real-world cohort for this study provided a diverse set of samples across subtypes, stages, and sites, and in particular a relatively large number of biopsies from metastatic sites as compared to other large breast cancer cohorts. Analyses were conducted using gene expression data generated by bulk RNA-sequencing of biopsies from lesions at primary (stage I-IV, N = 110) and metastatic (N = 310) sites, along with subject medical histories compiled from a variety of sources, including clinical records, pathology images, and lab reports. Differences in the immune microenvironment of assayed tumors were characterized by evaluating gene expression signatures representing immune-related processes as well as individual immune cell types, with emphasis on signatures known to be associated with response to checkpoint blockade, as well as differential expression analysis of individual genes. We observed higher expression of inflammation signatures in early stage and locally advanced primary tumors as compared to metastatic tumors (excluding lymph node biopsies), as well as enrichment of a number of immune cell types, including CD8+ T cells, regulatory T cells, B cells, and dendritic cells. We further examined individual metastatic sites (including lymph nodes, liver, brain, bone, and lung, among others), and noted variability in the immune contexture of metastatic tumors across sites. For example, we observed a trend to reduced inflammation and infiltration of certain cell types in brain and liver metastases as compared to primary tumors. Differential gene expression analysis of immune checkpoint molecules and other key immune-related genes was also conducted, revealing, for example, higher expression of IL-8 at certain metastatic sites; elevated IL-8 expression has been linked to reduced response to PD-1/PD-L1 agents and an immunosuppressive microenvironment. Finally, transcriptome-wide differential gene expression and gene set enrichment analyses were conducted using several gene-set and pathway databases (Gene Ontology, KEGG, Reactome, and Molecular Signatures Database hallmark collection). The results from these hypothesis-free analyses confirmed observations from the gene signature analyses described above; for example, inflammation-related pathways like the Hallmark “Interferon Gamma Response” and Gene Ontology “Regulation of Inflammatory Response” were enriched in primary tumors. Overall, the results of this study provide insights into the immune microenvironment of breast tumors and may be further used to inform the development of immune-oncology therapies in the space. Citation Format: Aparna Chhibber, Kim Van Naarden Braun, Celine Han, Han Chang, Mustimbo Roberts, Bin Li. Characterization of the immune landscape of primary vs metastatic breast cancer in a real-world data cohort [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr PD6-05.

Initial reports of congenital Zika virus (ZIKV) infection focused on microcephaly at birth with severe brain anomalies; the phenotype has broadened to include microcephaly that develops after birth and neurodevelopmental sequelae. In this narrative review, we summarize medical literature describing motor abnormalities and epilepsy in infants with evidence of congenital ZIKV infection and provide information on the impact of these conditions. Specific scenarios are used to illustrate the complex clinical course in infants with abnormalities that are consistent with congenital Zika syndrome. A search of the English-language medical literature was done to identify motor abnormalities and epilepsy in infants with evidence of congenital ZIKV infection by using Medline and PubMed, Embase, Scientific Electronic Library Online, Scopus, the OpenGrey Repository, and the Grey Literature Report in Public Health. Search terms included “Zika” only and “Zika” in combination with any of the following terms: “epilepsy,” “seizure,” “motor,” and “cerebral palsy.” Clinical features of motor abnormalities and epilepsy in these children were reviewed. Thirty-six publications were identified; 8 were selected for further review. Among infants with clinical findings that are consistent with congenital Zika syndrome, 54% had epilepsy and 100% had motor abnormalities. In these infants, impairments that are consistent with diagnoses of cerebral palsy and epilepsy occur frequently. Pyramidal and extrapyramidal motor abnormalities were notable for their early development and co-occurrence. Prompt identification of potential disabilities enables early intervention to improve the quality of life for affected children. Long-term studies of developmental outcomes and interventions in children with congenital ZIKV infection are needed.

Objectives. To describe the association between indicators of socioeconomic status (SES) and the prevalence of autism spectrum disorder (ASD) in the United States during the period 2002 to 2010, when overall ASD prevalence among children more than doubled, and to determine whether SES disparities account for ongoing racial and ethnic disparities in ASD prevalence. Methods. We computed ASD prevalence and 95% confidence intervals (CIs) from population-based surveillance, census, and survey data. We defined SES categories by using area-level education, income, and poverty indicators. We ascertained ASD in 13 396 of 1 308 641 8-year-old children under surveillance. Results. The prevalence of ASD increased with increasing SES during each surveillance year among White, Black, and Hispanic children. The prevalence difference between high- and low-SES groups was relatively constant over time (3.9/1000 [95% CI = 3.3, 4.5] in 2002 and 4.1/1000 [95% CI = 3.6, 4.6] in the period 2006–2010). Significant racial/ethnic differences in ASD prevalence remained after stratification by SES. Conclusions. A positive SES gradient in ASD prevalence according to US surveillance data prevailed between 2002 and 2010, and racial and ethnic disparities in prevalence persisted during this time among low-SES children.

Developmental disabilities include a broad spectrum of physical, cognitive, psychological, sensory, and speech and language impairments resulting from neurological damage or dysfunction, and are typically identified between birth and age 18 years. Mental retardation (MR) is a group of heterogeneous disorders with varying underlying etiologies. Epidemiologic studies of MR have generally used an intelligence quotient of 70 to define MR. This is because standardized intelligence testing represents a systematic and objective way to assess cognitive functioning across populations. Epidemiology has been useful in determining the prevalence of individual mutations and understanding the range of phenotypic expression in specific genetic mutations. Previous studies have examined recurrence risks for MR by severity, sex, and the presence of comorbidities. Many studies have shown that families with individuals with mild MR have a higher risk for recurrence than those with severe MR and that the presence of comorbidities decreases the chance for recurrence.

Newborn screening is a public health program that benefits 4 million U.S. infants every year by enabling early detection of serious conditions, thus affording the opportunity for timely intervention to optimize outcomes (1). States and other U.S. jurisdictions decide whether and how to regulate newborn screening practices. Most newborn screening is done through laboratory analyses of dried bloodspot specimens collected from newborns. Point-of-care newborn screening is typically performed before discharge from the birthing facility. The Recommended Uniform Screening Panel includes two point-of-care conditions for newborn screening: hearing loss and critical congenital heart disease (CCHD). The objectives of point-of-care screening for these two conditions are early identification and intervention to improve neurodevelopment, most notably language and related skills among infants with permanent hearing loss, and to prevent death or severe disability resulting from delayed diagnosis of CCHD. Universal screening for hearing loss using otoacoustic emissions or automated auditory brainstem response was endorsed by the Joint Committee on Infant Hearing in 2000 and 2007* and was incorporated in the first Recommended Uniform Screening Panel in 2005. Screening for CCHD using pulse oximetry was recommended by the Advisory Committee on Heritable Disorders in Newborns and Children in 2010 based on an evidence review† and was added to the Recommended Uniform Screening Panel in 2011.§.

BACKGROUND: Autism spectrumdisorder (ASD) commonly presents with co-occurring medical conditions (CoCs). Little is known about patterns in CoCs in a time of rising ASD prevalence. AIMS: To describe trends in number and type of documented CoCs in 8-year-old children with ASD. METHODS: We used Autism and Developmental Disabilities Monitoring Network (ADDM) data, a multi-source active surveillance system monitoring ASD prevalence among 8-year-old children across the US. Data from surveillance years 2002, 2006, 2008, and 2010 were used to describe trends in count, categories, and individual CoCs. RESULTS: Mean number of CoCs increased from 0.94 CoCs in 2002 to 1.06 CoCs in 2010 (p < 0.001). The percentage of children with ASD with any CoC increased from 44.5% to 56.4% (p < 0.001). CoCs with the greatest increases were in general developmental disability (10.4% to 14.5%), language disorder (18.9% to 23.6%), and motor developmental disability (10.5% to 15.6%). Sex modified the relationship between developmental (P = 0.02) and psychiatric (P < 0.001) CoCs and surveillance year. Race/ethnicity modified the relationship between neurological conditions (P = 0.04) and surveillance year. CONCLUSIONS: The increase in the percentage of children with ASD and CoCs may suggest the ASD phenotype has changed over time or clinicians are more likely to diagnose CoCs.

BACKGROUND:We investigated the prevalence of receipt of special education services among children with congenital heart defects (CHDs) compared with children without birth defects.METHODS:Children born from 1982 to 2004 in metropolitan Atlanta with CHDs (n = 3744) were identified from a population-based birth defect surveillance program; children without birth defects (n = 860 715) were identified from birth certificates. Cohorts were linked to special education files for the 1992–2012 school years to identify special education services. Children with noncardiac defects or genetic syndromes were excluded; children with CHDs were classified by presence or absence of critical CHDs (ie, CHDs requiring intervention by age one year). We evaluated the prevalence of receipt of special education services and prevalence rate ratios using children without birth defects as a reference.RESULTS:Compared with children without birth defects, children with CHDs were 50% more likely to receive special education services overall (adjusted prevalence rate ratio [aPRR] = 1.5; 95% confidence interval [CI]: 1.4–1.7). Specifically, they had higher prevalence of several special education categories including: intellectual disability (aPRR = 3.8; 95% CI: 2.8–5.1), sensory impairment (aPRR = 3.0; 95% CI: 1.8–5.0), other health impairment (aPRR = 2.8; 95% CI: 2.2–3.5), significant developmental delay (aPRR = 1.9; 95% CI: 1.3–2.8), and specific learning disability (aPRR = 1.4; 95% CI: 1.1–1.7). For most special education services, the excess prevalence did not vary by presence of critical CHDs.CONCLUSIONS:Children with CHDs received special education services more often than children without birth defects. These findings highlight the need for special education services and the importance of developmental screening for all children with CHDs.

Objective: Although data on publicly available special education are informative and offer a glimpse of trends in autism spectrum disorder (ASD) and use of educational services, using these data for population-based public health monitoring has drawbacks. Our objective was to evaluate trends in special education eligibility among 8-year-old children with ASD identified in the Autism and Developmental Disabilities Monitoring Network. Methods: We used data from 5 Autism and Developmental Disabilities Monitoring Network sites (Arizona, Colorado, Georgia, Maryland, and North Carolina) during 4 surveillance years (2002, 2006, 2008, and 2010) and compared trends in 12 categories of special education eligibility by sex and race/ethnicity. We used multivariable linear risk regressions to evaluate how the proportion of children with a given eligibility changed over time. Results: Of 6010 children with ASD, more than 36% did not receive an autism eligibility in special education in each surveillance year. From surveillance year 2002 to surveillance year 2010, autism eligibility increased by 3.6 percentage points ( P = .09), and intellectual disability eligibility decreased by 4.6 percentage points ( P < .001). A greater proportion of boys than girls had an autism eligibility in 2002 (56.3% vs 48.8%). Compared with other racial/ethnic groups, Hispanic children had the largest increase in proportion with autism eligibility from 2002 to 2010 (15.4%, P = .005) and the largest decrease in proportion with intellectual disability (–14.3%, P = .004). Conclusion: Although most children with ASD had autism eligibility, many received special education services under other categories, and racial/ethnic disparities persisted. To monitor trends in ASD prevalence, public health officials need access to comprehensive data collected systematically, not just special education eligibility.

Background Cerebral palsy (CP) is a common motor disability in childhood. We examined the association between maternal infections during pregnancy and the risk of congenital CP in the child.

Aim The aim of this study was to report the prevalence and characteristics of children with cerebral palsy (CP). Method Children with CP (n=451) were ascertained by the Autism and Developmental Disabilities Monitoring (ADDM) Network, a population-based, record-review surveillance system monitoring CP in four areas of the USA. Prevalence was calculated as the number of children with CP among all 8-year-old children residing in these areas in 2008. Motor function was categorized by Gross Motor Function Classification System level and walking ability. Co-occurring autism spectrum disorders (ASD) and epilepsy were ascertained using ADDM Network surveillance methodology. Results The period prevalence of CP for 2008 was 3.1 per 1000 8-year-old children (95% confidence interval 2.8-3.4). Approximately 58% of children walked independently. Co-occurring ASD frequency was 6.9% and was higher (18.4%) among children with non-spastic CP, particularly hypotonic CP. Co-occurring epilepsy frequency was 41% overall, did not differ by ASD status or CP subtype, and was highest (67%) among children with limited or no walking ability. Interpretation The prevalence of CP in childhood from US surveillance data has remained relatively constant, in the range of 3.1 to 3.6 per 1000, since 1996. The higher frequency of ASD in non-spastic than in spastic subtypes of CP calls for closer examination.

BACKGROUND AND OBJECTIVE: New Jersey was the first state to implement legislatively mandated newborn pulse oximetry screening (POxS) in all licensed birthing facilities to detect critical congenital heart defects (CCHDs). The objective of this report was to evaluate implementation of New Jersey’s statewide POxS mandate. METHODS: A 2-pronged approach was used to collect data on infants screened in all New Jersey birthing facilities from August 31, 2011, through May 31, 2012. Aggregate screening results were submitted by each birthing facility. Data on failed screens and clinical characteristics of those newborns were reported to the New Jersey Birth Defects Registry (NJBDR). Three indicators were used to distinguish the added value of mandated POxS from standard clinical care: prenatal congenital heart defect diagnosis, cardiology consultation or echocardiogram indicated or performed before PoxS, or clinical findings at the time of POxS warranting a pulse oximetry measurement. RESULTS: Of 75 324 live births in licensed New Jersey birthing facilities, 73 320 were eligible for screening, of which 99% were screened. Forty-nine infants with failed POxS were reported to the NJBDR, 30 of whom had diagnostic evaluations solely attributable to the mandated screening. Three of the 30 infants had previously unsuspected CCHDs and 17 had other diagnoses or non-CCHD echocardiogram findings. CONCLUSIONS: In the first 9 months after implementation, New Jersey achieved a high statewide screening rate and established surveillance mechanisms to evaluate the unique contribution of POxS. The screening mandate identified 3 infants with previously unsuspected CCHDs that otherwise might have resulted in significant morbidity and mortality and also identified other significant secondary targets such as sepsis and pneumonia.

Background The public health objective for cerebral palsy (CP) in the United States is to reduce the percentage of children with CP who were born low birthweight (LBW

The Autism and Developmental Disabilities Monitoring (ADDM) Network conducts population-based surveillance of autism spectrum disorder (ASD) among 8-year old children in multiple US sites. To classify ASD, trained clinicians review developmental evaluations collected from multiple health and education sources to determine whether the child meets the ASD surveillance case criteria. The number of evaluations collected has dramatically increased since the year 2000, challenging the resources and timeliness of the surveillance system. We developed and evaluated a machine learning approach to classify case status in ADDM using words and phrases contained in children’s developmental evaluations. We trained a random forest classifier using data from the 2008 Georgia ADDM site which included 1,162 children with 5,396 evaluations (601 children met ADDM ASD criteria using standard ADDM methods). The classifier used the words and phrases from the evaluations to predict ASD case status. We evaluated its performance on the 2010 Georgia ADDM surveillance data (1,450 children with 9,811 evaluations; 754 children met ADDM ASD criteria). We also estimated ASD prevalence using predictions from the classification algorithm. Overall, the machine learning approach predicted ASD case statuses that were 86.5% concordant with the clinician-determined case statuses (84.0% sensitivity, 89.4% predictive value positive). The area under the resulting receiver-operating characteristic curve was 0.932. Algorithm-derived ASD “prevalence” was 1.46% compared to the published (clinician-determined) estimate of 1.55%. Using only the text contained in developmental evaluations, a machine learning algorithm was able to discriminate between children that do and do not meet ASD surveillance criteria at one surveillance site.

OBJECTIVE:Population-based data in the United States on trends in cerebral palsy (CP) birth prevalence are limited. The objective of this study was to examine trends in the birth prevalence of congenital spastic CP by birth weight, gestational age, and race/ethnicity in a heterogeneous US metropolitan area.METHODS:Children with CP were identified by a population-based surveillance system for developmental disabilities (DDs). Children with CP were included if they were born in metropolitan Atlanta, Georgia, from 1985 to 2002, resided there at age 8 years, and did not have a postneonatal etiology (n = 766). Birth weight, gestational age, and race/ethnicity subanalyses were restricted to children with spastic CP (n = 640). Trends were examined by CP subtype, gender, race/ethnicity, co-occurring DDs, birth weight, and gestational age.RESULTS:Birth prevalence of spastic CP per 1000 1-year survivors was stable from 1985 to 2002 (1.9 in 1985 to 1.8 in 2002; 0.3% annual average prevalence; 95% confidence interval [CI] −1.1 to 1.8). Whereas no significant trends were observed by gender, subtype, birth weight, or gestational age overall, CP prevalence with co-occurring moderate to severe intellectual disability significantly decreased (−2.6% [95% CI −4.3 to −0.8]). Racial disparities persisted over time between non-Hispanic black and non-Hispanic white children (prevalence ratio 1.8 [95% CI 1.5 to 2.1]). Different patterns emerged for non-Hispanic white and non-Hispanic black children by birth weight and gestational age.CONCLUSIONS:Given improvements in neonatal survival, evidence of stability of CP prevalence is encouraging. Yet lack of overall decreases supports continued monitoring of trends and increased research and prevention efforts. Racial/ethnic disparities, in particular, warrant further study.

Background Many health conditions have been described in children with Down syndrome (DS). However, there are little comparative population-based data available. Objective/Hypotheses We sought to examine the health impacts associated with DS and other disabling conditions in U.S. children included in the 2005-2006 National Survey of Children with Special Health Care Needs. Methods We assessed numerous health and functional outcomes in children with DS and without DS but with (1) mental retardation/developmental delay 1 and another developmental disability associated with a high functional impact; (2) mental retardation/developmental delay but no co-occurring high-impact disability; (3) other special health care needs; and (4) no special health care needs (referent). Results Children with DS and in all 3 special health care needs comparison groups had substantially more health and functional difficulties than did the referent sample. Overall, children with DS were fairly comparable to children in the other mental retardation/developmental delay groups on health indicators; however, young children with DS were more likely than young children in both “other mental retardation” groups to have difficulties with breathing/respiration and swallowing/digestion/metabolism. Children with both DS and mental retardation associated with another high-impact disability had the highest levels of functional difficulties, unmet health needs, and family financial impacts. Nearly 60% of families in both groups provided home health care; in over 40%, a family member stopped working because of the child’s condition; and about 40% reported the child’s condition caused financial problems. Conclusions Children with DS can have substantial health and functional difficulties, with numerous financial impacts on their families.

Past research indicates that non-Hispanic black (NHB) children are less likely than non-Hispanic white (NHW) children to have an autism spectrum disorder (ASD) diagnosis, even if they seem to meet criteria for the disorder. This study examined differences in community identification of ASDs between NHB and NHW children identified by a population-based surveillance system.Participants were identified as an ASD surveillance case by the Metropolitan Atlanta Developmental Disabilities Surveillance Program in surveillance years 2000, 2002, 2004, and 2006. Health and education records were abstracted and reviewed to determine ASD surveillance case status; community identification was defined by a documented ASD diagnosis, special education eligibility, and behaviors noted in records. Children were placed in 1 of 5 mutually exclusive categories on the basis of ASD specificity.Total ASD prevalence was higher for NHW than NHB children, but NHB children were more likely than NHW children to have autistic disorder and autism eligibility at a public school documented in records. NHB children were less likely than NHW children to have pervasive developmental disorder-not otherwise specified and Asperger's disorder documented in records, even after controlling for socioeconomic status. NHB children were more likely than NHW children to have co-occurring intellectual disability.NHB children were less likely than NHW children to have been identified with less severe ASDs, which might have prevented or delayed intervention services that would have catered to their needs. This study illustrates the need for continued professional education, particularly concerning milder ASDs in minority groups.

For conditions with wide-ranging consequences, such as cerebral palsy (CP), population-based surveillance provides an estimate of the prevalence of case status but only the broadest understanding of the impact of the condition on children, families or society. Beyond case status, information regarding health, functional skills and participation is necessary to fully appreciate the consequences of the condition. The purpose of this study was to assess the feasibility and reliability of enhancing population-based surveillance by classifying gross motor function (GMF) from information available in medical records of children with CP. We assessed inter-rater reliability of two GMF classification methods, one the Gross Motor Function Classification System (GMFCS) and the other a 3-category classification of walking ability: (1) independently, (2) with handheld mobility device, or (3) limited or none. Two qualified clinicians independently reviewed abstracted evaluations from medical records of 8-year-old children residing in southeast Wisconsin, USA who were identified as having CP (n = 154) through the Centers for Disease Control and Prevention's Autism and Developmental Disabilities Monitoring Network. Ninety per cent (n = 138) of the children with CP had information in the record after age 4 years and 108 (70%) had adequate descriptions of gross motor skills to classify using the GMFCS. Agreement was achieved on 75.0% of the GMFCS ratings (simple kappa = 0.67, 95% confidence interval [95% CI 0.57, 0.78], weighted kappa = 0.83, [95% CI 0.77, 0.89]). Among case children for whom walking ability could be classified (n = 117), approximately half walked independently without devices and one-third had limited or no walking ability. Across walking ability categories, agreement was reached for 94% (simple kappa = 0.90, [95% CI 0.82, 0.96], weighted kappa = 0.94, [95% CI 0.89, 0.98]). Classifying GMF in the context of active records-based surveillance is feasible and reliable. Future surveillance efforts that include functional level among children with cerebral palsy may provide important information for monitoring the impact of the condition for programmatic and policy purposes.

Objective To examine the presence of developmental disabilities and receipt of special education services in children with an inborn error of metabolism. Study design The study population was children born from 1988 through 2001 in whom a metabolic disorder was diagnosed after identification by newborn screening (n = 97) or after clinical identification (n = 34). These children were linked to the Metropolitan Atlanta Development Disability Surveillance Program (MADDSP) and Special Education Database of Metropolitan Atlanta (SEDMA) to determine developmental outcomes at 8 years of age and 3 through 10 years of age, respectively. Medical and educational records were examined to consider factors contributing to developmental outcomes. Results Of 97 children with a metabolic disorder identified with newborn screening, 12 (12.4%) were identified by SEDMA as receiving special education services and 2 (2.7%) were identified by MADDSP as having a developmental disability. Of the 34 children with a clinically identified metabolic disorder, 8 (23.5%) were identified with SEDMA, and 5 (17.2%) were identified with a MADDSP developmental disability. Conclusion Early identification and treatment have been successful in limiting the impact of severe developmental disabilities. Continued surveillance and research are needed to monitor less severe developmental outcomes.

Purpose: There is limited information on long-term outcomes among children with Duarte galactosemia and controversy about treatment of this potentially benign condition. This study examined developmental disabilities and issues that required special education services within a population-based sample of children with Duarte galactosemia. Methods: Children born between 1988 and 2001 who were diagnosed with Duarte galactosemia and resided in the five-county metropolitan Atlanta area at birth and from 3 to 10 years of age were linked to the (1) Metropolitan Atlanta Developmental Disabilities Surveillance Program, an ongoing, population-based surveillance system for selected developmental disabilities and (2) Special Education Database of Metropolitan Atlanta. Special education records were reviewed for children who linked. Clinical genetics records were reviewed to assess laboratory levels at the time of diagnosis and metabolic control during treatment. Results: Of the 59 eligible children, none were found to have intellectual disability, cerebral palsy, hearing loss, vision impairment, or an autism spectrum disorder. However, five, 8.5% of 3 to 10 years or 15.2% of eligible 8 years, were identified as having received special education services, four of whom were confirmed with a speech or language disorder, or were receiving services for speech or language or both compared with 4.5% and 5.9% of children without Duarte galactosemia, respectively. Conclusions: Despite galactose restriction until 1 year, select developmental issues associated with special education, specifically involving speech and language, have been found among some children with Duarte galactosemia.

This article reviews the historical background, classification, and etiology of cerebral palsy (CP), the most common motor disability of childhood. The various methods employed to measure the prevalence of CP in the population are examined. Causes of CP are numerous, and the etiology multi-factorial. Risk factors are categorized by the timing of their proposed occurrence: prenatal, perinatal, and postnatal. The leading prenatal and perinatal risk factors for CP are birth weight and gestational age. Other risk factors include neonatal encephalopathy, multiple pregnancy, infection and inflammation, and a variety of genetic factors.

Background Cerebral palsy (CP) is the most common cause of motor disability in children and an important public health issue in the United States. The Autism and Developmental Disabilities Monitoring (ADDM) Network is a multisite program funded by the Centers for Disease Control and Prevention to determine trends in the prevalence of children with developmental disabilities, including CP, in the United States. This report describes population-based estimates of CP prevalence among 8-year-old children in three sites in the United States. Methods The ADDM Network conducted surveillance of CP among 8-year-old children living in north central Alabama, metropolitan Atlanta, and south central Wisconsin in 2004 (N = 68,272). This multisite collaboration involved the retrospective collection, linking, and analysis of data from multiple service providers and the population census estimates. Results The average prevalence of CP in 2004 across the three sites was 3.3 per 1,000 (95% confidence interval, 2.9−3.8). The prevalence was significantly higher in boys than in girls overall (male/female ratio, 1.4:1). The most common subtype across all three sites was spastic CP, ranging from 85% in Georgia to 89% in Alabama and Wisconsin. Conclusions Ongoing, systematic, population-based surveillance in different areas of the United States is needed to describe and monitor CP prevalence. In addition, enhancing the surveillance system to include information about functional abilities is needed to better understand the public health impact of CP and strategies for improving quality of life and participation in activities at home and in the community.

Developmental disabilities are a heterogeneous group of chronic conditions that may result in substantial activity limitations. The type and number of limitations may vary by impairment characteristics. Economic and social constraints may impact activity limitations beyond those attributable to their impairment. Using the International Classification of Functioning (ICF), Disability, and Health conceptual framework, this study tests the hypothesis that activity limitations in young adulthood are not inevitable consequences of childhood impairment. The Metropolitan Atlanta Developmental Disabilities Follow-up Study of Young Adults, a cohort of young adults ages 21-25, is used to examine the relationship between childhood impairment and activity limitations in young adulthood. For young adults with isolated impairment, activity limitations are not probable outcomes. This situation is not the case for those with severe intellectual disability and/or multiple impairments. The type and extent of activity limitations vary by impairment characteristics. With the goal of improving and preventing activity limitations in young adults with various types and severities of childhood impairment, additional research is needed to further identify areas for secondary and tertiary prevention of the consequences of childhood impairment. The conceptual framework of the ICF provides a useful tool for testing hypotheses to pinpoint areas of intervention.

Recent studies in the US and Europe have found an increased risk of cerebral palsy (CP) associated with socio-economic disadvantage.1–6 Some have found this association to persist, though somewhat attenuated, after controlling for perinatal risk factors such as low birthweight.1,3–5 Previous studies in the US have also reported higher prevalence of CP among black children relative to white children. 5,7–10 One study found no excess prevalence of CP in black children after adjusting for birthweight. 5 What is unclear from previous studies is the extent to which the excess prevalence of CP in black children in the US is explained by socio-economic disparities. In the present study, we evaluated available indicators of socio-economic status (SES), including maternal educational attainment when a child is born, and their association with the risk of CP in a large, diverse cohort of US children. We also sought to determine whether racial and ethnic disparities in CP risk persist after controlling for SES. More specifically, we designed the study to test the following three hypotheses: (1) consistent with recent studies, we will find the risk of CP to decline with increasing SES as indicated by maternal education or a census-based indicator of SES; (2) the observed racial and ethnic disparity in CP risk is caused by confounding or is mediated by racial disparities in SES and, therefore, will no longer be present after controlling for SES; and (3) perinatal factors such as preterm birth and small for gestational age mediate the association between race as well as maternal education and CP risk, so that after controlling for these perinatal risk factors, CP risk will not differ by race or maternal education.

This study examined the prevalence and characteristics of autism spectrum disorder (ASD), cerebral palsy (CP), hearing loss (HL), intellectual disability (ID), and vision impairment (VI) over a 15-20 year time period, with specific focus on concurrent changes in ASD and ID prevalence. We used data from a population-based developmental disabilities surveillance program for 8-year-olds in metropolitan Atlanta. From 1991-2010, prevalence estimates of ID and HL were stable with slight increases in VI prevalence. CP prevalence was constant from 1993-2010. The average annual increase in ASD prevalence was 9.3% per year from 1996-2010, with a 269% increase from 4.2 per 1,000 in 1996 to 15.5 per 1,000 in 2010. From 2000-2010, the prevalence of ID without ASD was stable; during the same time, the prevalence of ASD with and without co-occurring ID increased by an average of 6.6% and 9.6% per year, respectively. ASD prevalence increases were found among both males and females, and among nearly all racial/ethnic subgroups and levels of intellectual ability. Average annual prevalence estimates from 1991-2010 underscore the significant community resources needed to provide early intervention and ongoing supports for children with ID (13.0 per 1,000), CP, (3.5 per 1,000), HL (1.4 per 1,000) and VI (1.3 in 1,000), with a growing urgency for children with ASD.

The framework of the International Classification of Functioning, Disability, and Health (ICF) was applied to examine the factors associated with childhood impairment and leisure activity. Information on leisure activity was obtained using a structured questionnaire from a population-based cohort of young adults with childhood impairment. The results underscore the differences in leisure lifestyles by impairment type and severity. Activity limitations, educational attainment, and the acquisition of adult social roles were significant predictors of leisure activity. This study emphasizes the importance of improving daily activities, increasing attendance of postsecondary school and opportunities for competitive employment and participation in impairment-related programs to help increase the number and scope of types of leisure activities for young adults with developmental disabilities.

Objective Measure select Healthy People 2010 Leading Health Indicators in young adults with and without a history of developmental disabilities (DD) using a population-based cohort. Methods Young adults were interviewed to assess the prevalence of seven Leading Health Indicators: physical activity, overweight and obesity, tobacco use, substance abuse, responsible sexual behavior, injury and violence, and access to healthcare. Results Young adults with a history of DD were less likely to be involved in tobacco use, substance abuse and sexual activity. Areas of concern included below normal Body Mass Index, lack of HIV/AIDS and sex education, preventive healthcare services for women, and victimization. Conclusions Despite some healthy lifestyle indicators, health gaps may place young adults with a history of DD at risk for poor health and quality of life.

Summary Serious developmental disabilities (DD) are quite common and affect approximately 2% of all school-aged children. The impact of DDs with respect to the need for special education services, medical care and the demand on family members can be enormous. While this impact can be magnified for families with more than one child with a DD, little is known regarding the epidemiology of recurrence of DDs. When the cause of a DD is unknown, genetic counsellors rely on recurrence risk estimates which for DDs are over 10 years old. The objectives of our study were to: (1) assess the contribution of recurrent cases to the prevalence of DDs; (2) provide current, population-based recurrence risk estimates; and (3) examine characteristics of the first affected child as predictors of recurrence. Two population-based data sources were used to identify all children born to the same mother during the period 1981–91 in the five-county metropolitan Atlanta area with at least one of four DDs: mental retardation (MR), cerebral palsy, hearing loss, or vision impairment. Recurrence risk estimates for these DDs ranged from 3% to 7% and were many times higher than the background prevalences. The risk of recurrence of DDs was greatest for MR – approximately eight times greater than the baseline MR prevalence. Isolated mild MR (IQ 50–70) was highly concordant between siblings with MR. Sex, race, and birthweight of the index child, maternal education, and maternal age were not significantly associated with recurrence risk. Further research is needed to investigate the roles of genetic and environmental factors on the recurrence of DDs, particularly isolated mild MR.

BACKGROUND: Population-based information on special education service needs among children with congenital heart defects (CHDs) is limited. We investigated the prevalence of receipt of special education services among children with CHDs. METHODS: Children born from 1982-2004 in metropolitan Atlanta with CHDs (n=3,744) were identified from a population-based birth defect surveillance program, and contemporaneous children born without major birth defects (n=860,715) were identified from birth certificates. Cohorts were linked to special education files for 1992-2012 school years to identify receipt of special education services. Children with CHDs and non-cardiac defects or genetic syndromes were excluded; children with isolated CHDs were classified by presence or absence of critical CHDs (i.e., defects needing intervention in the first year of life). We evaluated prevalence of special education services and calculated prevalence ratios (PRs) using children without birth defects as reference. RESULTS: Children with CHDs were 50% more likely than those without birth defects to use special education services (PR 1.5; 95% Confidence interval 1.4-1.7). Similar to children without birth defects, the most common eligibility among children with CHDs was speech/language impairment. Compared to children without birth defects, the prevalence of several special education eligibilities were significantly higher among children with all CHDs: any intellectual disability (PR 3.8), sensory impairment (PR 3.0), other health impairment (PR 2.8), significant developmental delay (PR 1.9), orthopedic impairment (PR 1.9), and specific learning disability (PR 1.4). For most special education eligibilities, there was no significant variation in the elevated prevalence ratios by presence or absence of critical CHDs. CONCLUSIONS: Children with many types of CHDs received special education services more often than children without birth defects. These findings highlight important resource needs for children with CHDs. Furthermore, they suggest that recommendations to perform developmental screening only on children with select CHDs may miss or delay identification of children with other CHDs, who may also need special education services.

Objective The objective of the study was to investigate the association between maternal self-reported infections, fever, and smoking in the prenatal period and the subsequent risk for congenital cerebral palsy (CP). Study Design We included the 81,066 mothers of singletons born between 1996 and 2003 who participated in the Danish National Birth Cohort. Children were followed up through December 2008. Information on maternal infections, fever, smoking, and other demographic and lifestyle factors during pregnancy were reported by mothers in computer-assisted telephone interviews in early and midgestation. We identified 139 CP cases including 121 cases of spastic CP (sCP) as confirmed by the Danish National Cerebral Palsy Register. Cox proportional hazards regression models were used to estimate adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs). Results Self-reported vaginal infections were associated with an increased risk of CP and sCP (aHR, 1.52; 95% CI, 1.04–2.24; and aHR, 1.73; 95% CI, 1.16–2.60, respectively) and particularly untreated vaginal infections were associated with an increased risk of sCP (aHR, 1.95; 95% CI, 1.16–3.26). Fever was associated with the risk of CP (aHR, 1.53; 95% CI, 1.06–2.21). Smoking 10 or more cigarettes per day during pregnancy was also associated with sCP (aHR, 1.80; 95% CI, 1.10–2.94). There was a modest excess in risk for children exposed to both heavy smoking and vaginal infections. No other self-reported infections were significantly associated with CP. Conclusion Self-reported vaginal infections, fever, and smoking 10 or more cigarettes per day during pregnancy were associated with a higher risk of overall CP and/or sCP.

Aim Differential migration and choice of denominator have been hypothesized to contribute to differences between period prevalence and birth prevalence of cerebral palsy (CP). The purpose of this study was to evaluate the effects of migration and choice of denominator on the prevalence of CP. Method Data from the Metropolitan Atlanta Developmental Disabilities Surveillance Program and census and birth certificate files were used to calculate various CP prevalence estimates for 2000. Results The overall CP period prevalence was 3.2 (95% confidence interval [CI] 2.7–3.8) per 1000 8-year-olds and was similar for those born in Atlanta who resided there at age 8 years (3.3; 95% CI 2.7–4.1) and those born outside Atlanta who moved into Atlanta by age 8 years (3.0; 95% CI 2.3–3.9). CP prevalence in these two migration strata was similar by sex and race/ethnicity. CP birth prevalence of 8-year-olds in Atlanta in 2000 was 2.0 (95% CI 1.6–2.5) per 1000 live births in 1992. Interpretation The authors found no evidence to support the hypothesis that differential in-migration explained higher period than birth prevalence of CP in Atlanta. Comparability of CP prevalence across geographic areas will be enhanced if future studies report both period and birth prevalence.

Dental care among young adults with intellectual disability (ID) is poorly documented and largely unmet. By using population-based data from the Metropolitan Atlanta Developmental Disabilities Follow-Up Study, we assessed factors associated with at least one or two dental visits per year among young adults with and without ID. Significantly fewer young adults with ID (45%) visited a dentist at least once per year, compared with those without ID (58%). ID severity and the presence of co-occurring developmental disabilities predicted dental care use. Sociodemographics, daily functioning, societal participation, dental services, and dental health factors were examined as predictors of dental care frequency. Our findings can help focus efforts toward improving the frequency of dental care visits among young adults with ID.

Autism spectrum disorders (ASD) prevalence estimates derived from a single data source under-identify children and provide a biased profile of case characteristics. We analyzed characteristics of 1,919 children with ASD identified by the Autism and Developmental Disabilities Monitoring Network. Cases ascertained only at education sources were compared to those identified at health sources. 38 % were education-only. These were older at their earliest evaluation (54.5 vs. 42.0 months, p

Limited population-based data on prevalence of childhood vision impairment (VI) and hearing loss (HL), and their co-occurrence with autism spectrum disorder (ASD) exists.To examine prevalence and characteristics of VI, HL and co-occurring ASD among 8-year-olds in metropolitan Atlanta 2000-2008.We used data from the population-based Metropolitan Atlanta Developmental Disabilities Surveillance Program. Prevalence, birth and parental characteristics, presence and severity of other co-occurring developmental disabilities, and age of earliest identification of ASD, were examined for children with VI and HL, by co-occurring ASD.VI and HL prevalences were 1.2 and 1.3 per 1000 8-year-olds, respectively. Approximately 6-7% of children with VI or HL had co-occurring ASD. Children with VI or HL with co-occurring ASD differed from those without co-occurring ASD by select birth characteristics and the presence of other co-occurring DDs. The median age of earliest known ASD diagnosis was significantly later among children with VI and ASD compared to children with ASD without VI (79 vs. 56 months). Children with HL and ASD were first evaluated by a community provider significantly earlier than those with ASD without HL (40 vs. 50 months).The frequency of co-occurring ASD with VI and HL is higher than the population prevalence of ASD. The significant delays in diagnosis of ASD in children with VI and lack of earlier diagnosis of ASD among children with HL despite earlier evaluation highlight the importance of developing screening tools for early identification of ASD among children with VI and HL.

This study estimated medical expenditures attributable to cerebral palsy (CP) among children enrolled in Medicaid, stratified by the presence of co-occurring intellectual disability (ID), relative to children without CP or ID. The MarketScan(®) Medicaid Multi-State database was used to identify children with CP for 2003-2005 by using the International Classification of Diseases, Ninth Revision; Clinical Modification (ICD-9-CM) code 343.xx. Children with ID were identified for 2005 by using ICD-9-CM code 317.xx-319.xx. Children without CP or ID during the same period served as control subjects. Medical expenditures were estimated for case and control children for 2005. The difference between the average expenditures for children with and without CP was used as a proxy for attributable expenditures for the condition. The attributable expenditures of co-occurring ID were calculated similarly as the difference in average expenditures among children with CP with and without ID. A total of 9927 children with CP were identified. Among them, 2022 (20.3%) children had co-occurring ID recorded in medical claims. Children with CP but without ID incurred medical expenditures that were $15,047 higher than those of control children without CP or ID. By contrast, children with CP and co-occurring ID incurred costs that were $41,664 higher, compared with control children, and $26,617 more than children with CP but without ID. Administrative data from a large, multistate database demonstrated high medical expenditures for publicly insured children with CP. Expenditures approximately tripled for children with CP and co-occurring ID.

Background Previous studies of the frequency of cerebral palsy in the United States have found excess prevalence in black children relative to other groups. Whether the severity of cerebral palsy differs between black and white children has not previously been investigated. Methods A population-based surveillance system in 4 regions of the United States identified 476 children with cerebral palsy among 142,338 8-year-old children in 2006. Motor function was rated by the Gross Motor Function Classification System and grouped into 3 categories of severity. We used multiple imputation to account for missing information on motor function and calculated the race-specific prevalence of each cerebral palsy severity level. Results The prevalence of cerebral palsy was 3.7 per 1000 black children and 3.2 per 1000 white children (prevalence odds ratio [OR] = 1.2 [95% confidence interval = 1.0-1.4]). When stratified by severity of functional limitation, the racial disparity was present only for severe cerebral palsy (black vs. white prevalence OR=1.7 [1.1-2.4]). The excess prevalence of severe cerebral palsy in black children was evident in term and very preterm birth strata. Conclusion Black children in the United States appear to have a higher prevalence of cerebral palsy overall than white children, although the excess prevalence of cerebral palsy in black children is seen only among those with the most severe limitations. Further research is needed to explore reasons for this disparity in functional limitations; potential mechanisms include racial differences in risk factors, access to interventions, and under-identification of mild cerebral palsy in black children.

Studies document various associated health risks for children with developmental disabilities (DDs). Further study is needed by disability type. Using the 2006-2010 National Health Interview Surveys, we assessed the prevalence of numerous medical conditions (e.g. asthma, frequent diarrhea/colitis, seizures), health care use measures (e.g. seeing a medical specialist and >9 office visits in past year), health impact measures (e.g. needing help with personal care), and selected indicators of unmet health needs (e.g. unable to afford needed prescription medications) among a nationally representative sample of children ages 3-17 years, with and without DDs. Children in four mutually exclusive developmental disability groups: autism (N = 375), intellectual disability (ID) without autism (N = 238); attention-deficit/hyperactivity disorder (ADHD) without autism or ID (N = 2901); and learning disability (LD) or other developmental delay without ADHD, autism, or ID (N = 1955); were compared to children without DDs (N = 35,775) on each condition or health care measure of interest. Adjusted odds ratios (aORs) were calculated from weighted logistic regression models that accounted for the complex sample design. Prevalence estimates for most medical conditions examined were moderately to markedly higher for children in all four DD groups than children without DDs. Most differences were statistically significant after adjustment for child sex, age, race/ethnicity, and maternal education. Children in all DD groups also had significantly higher estimates for health care use, impact, and unmet needs measures than children without DDs. This study provides empirical evidence that children with DDs require increased pediatric and specialist services, both for their core functional deficits and concurrent medical conditions.

Surveillance and epidemiologic research on intellectual disability often do not incorporate adaptive functioning (AF) data. Exclusion of AF data leads to overestimation of the prevalence of intellectual disability, the extent of which is not known. In this study, the authors evaluated the effect of incorporating AF data on overall intellectual disability prevalence according to sociodemographic, economic, and severity characteristics. Between 2002 and 2006, the Metropolitan Atlanta Developmental Disabilities Surveillance Program identified 1,595 8-year-old children who met the study's intellectual disability surveillance-case definition of IQ ≤ 70. AF scores were not available for 9.2% of the case children, specifically those with mild intellectual disability and low socioeconomic backgrounds. Prevalence estimates showed few substantive changes when incorporating AF data. The authors conclude that use of IQ data alone appears to be appropriate for measuring population intellectual disability prevalence.

A 57% increase in the U.S. prevalence of autism spectrum disorders (ASD) for 8-year-old children born in 1994 versus 1998 was recently reported.To quantify the possible contributions of given risk/predictive factors on the recent ASD prevalence increase, we formulated a mathematical model based on the baseline risk factor prevalence (RFP), the proportionate change in RFP (cRFP), and the magnitude of the association between the risk factor and ASD [estimated relative risk (RR)]. We applied this model to several pregnancy-related factors (preterm, very preterm, low and very low birth weight, multiple birth, cesarean delivery, breech presentation, and assisted reproductive technology use). RFP and cRFP estimates for each factor were obtained from U.S. population-based surveillance datasets. Estimated RRs were obtained from a series of systematic literature reviews.We estimate that each risk factor examined, alone or in various combinations, accounted for a very small proportion (1%) of the ASD increase. Additionally, hypothetical scenarios indicate RFP, cRFP, and RR all need to be sizable for a risk factor to appreciably influence ASD prevalence.Thus, although various pregnancy factors have been found to be associated with ASDs, the contribution of many of these factors to the recently observed ASD increase is likely minimal.

To estimate the prevalence of cerebral palsy (CP) and the frequency of co-occurring developmental disabilities (DDs), gross motor function (GMF), and walking ability using the largest surveillance DD database in the US.We conducted population-based surveillance of 8-year-old children in 2006 (N=142,338), in areas of Alabama, Georgia, Wisconsin, and Missouri. This multi-site collaboration involved retrospective record review at multiple sources. We reported CP subtype, co-occurring DDs, Gross Motor Function Classification System (GMFCS) level, and walking ability as well as CP period prevalence by race/ethnicity and sex.CP prevalence was 3.3 (95% confidence interval [CI]: 3.1-3.7) per 1000 and varied by site, ranging from 2.9 (Wisconsin) to 3.8 (Georgia) per 1000, 8-year olds (p0.02). Approximately 81% had spastic CP. Among children with CP, 8% had an autism spectrum disorder and 35% had epilepsy. Using the GMFCS, 38.1% functioned at the highest level (I), with 17.1% at the lowest level (V). Fifty-six percent were able to walk independently and 33% had limited or no walking ability.Surveillance data are enhanced when factors such as functioning and co-occurring conditions known to affect clinical service needs, quality of life, and health care are also considered.

For conditions with wide-ranging consequences, such as cerebral palsy (CP), population-based surveillance provides an estimate of the prevalence of case status but only the broadest understanding of the impact of the condition on children, families or society. Beyond case status, information regarding health, functional skills and participation is necessary to fully appreciate the consequences of the condition. The purpose of this study was to assess the feasibility and reliability of enhancing population-based surveillance by classifying gross motor function (GMF) from information available in medical records of children with CP. We assessed inter-rater reliability of two GMF classification methods, one the Gross Motor Function Classification System (GMFCS) and the other a 3-category classification of walking ability: (1) independently, (2) with handheld mobility device, or (3) limited or none. Two qualified clinicians independently reviewed abstracted evaluations from medical records of 8-year-old children residing in southeast Wisconsin, USA who were identified as having CP (n = 154) through the Centers for Disease Control and Prevention's Autism and Developmental Disabilities Monitoring Network. Ninety per cent (n = 138) of the children with CP had information in the record after age 4 years and 108 (70%) had adequate descriptions of gross motor skills to classify using the GMFCS. Agreement was achieved on 75.0% of the GMFCS ratings (simple kappa = 0.67, 95% confidence interval [95% CI 0.57, 0.78], weighted kappa = 0.83, [95% CI 0.77, 0.89]). Among case children for whom walking ability could be classified (n = 117), approximately half walked independently without devices and one-third had limited or no walking ability. Across walking ability categories, agreement was reached for 94% (simple kappa = 0.90, [95% CI 0.82, 0.96], weighted kappa = 0.94, [95% CI 0.89, 0.98]). Classifying GMF in the context of active records-based surveillance is feasible and reliable. Future surveillance efforts that include functional level among children with cerebral palsy may provide important information for monitoring the impact of the condition for programmatic and policy purposes.

We conducted the first study that estimates the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of a population-based autism spectrum disorders (ASD) surveillance system developed at the Centers for Disease Control and Prevention. The system employs a records-review methodology that yields ASD classification (case versus non-ASD case) and was compared with classification based on clinical examination. The study enrolled 177 children. Estimated specificity (0.96, [CI(.95) = 0.94, 0.99]), PPV (0.79 [CI(.95) = 0.66, 0.93]), and NPV (0.91 [CI(.95) = 0.87, 0.96]) were high. Sensitivity was lower (0.60 [CI(.95) = 0.45, 0.75]). Given diagnostic heterogeneity, and the broad array of ASD in the population, identifying children with ASD is challenging. Records-based surveillance yields a population-based estimate of ASD that is likely conservative.

The magnitude and causes of death among a cohort of children with epilepsy were determined. A follow-up study with a population-based cohort of 10-year-old children in the metropolitan Atlanta area with epilepsy was conducted. The National Death Index and linkage to State of Georgia death certificates were used to identify deaths. The authors estimated the expected numbers of deaths by applying mortality rates adjusted by age, race, and sex for the entire state of Georgia to the population for the follow-up period. Among the 688 children who were in the final epilepsy cohort, 64 deaths occurred; 20.6 deaths were expected (mortality ratio adjusted for age, race, and sex = 3.11). The mortality ratios for children with Lennox-Gastaut syndrome and infantile spasms were 13.92 and 11.91, respectively. Children and adolescents with epilepsy, especially those with Lennox-Gastaut syndrome or infantile spasms, have an increased risk of death.