10 research outputs found

    Pediatr Blood Cancer

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    BackgroundPediatric cancer is associated with a host of negative psychosocial consequences; however, outcomes vary extensively suggesting a need to better understand this variation. Empirical research suggests a positive association between time since diagnosis (TSD) and Quality of Life (QoL). In addition to TSD, family stressors have been found to be particularly important in predicting QoL among children. The current study examined parental chronic stress beyond TSD in explanation of QoL functioning among a sample of pediatric patients with cancer.ProcedureParticipants included 43 pediatric patients aged 5\u201318 years (Mage = 10.2 \ub1 3.6) who were undergoing oncological treatment. Parents reported on TSD, child\u2019s QoL, and their own chronic stress.ResultsTSD was associated with greater physical functioning (r = 0.30, P< 0.05). Parental chronic stress was associated with poorer emotional (r = 120.54, P< 0.01), physical (r = 120.41, P<0.01), and social functioning (r = 120.44, P<0.01). Further, hierarchal linear regression analyzes indicated parental chronic stress contributed incrementally beyond TSD in the explanation of physical (\u3b2 = 120.37, t = 122.58, P< 0.01), emotional (\u3b2 = 120.47, t = 123.51, P< 0.00), and social functioning (\u3b2 = 120.38, t = 122.67, P< 0.01).ConclusionsParental chronic stress is associated with reduced levels of emotional, physical, and social functioning among pediatric patients. Future research is needed to further investigate the process by which chronic stress within the family interferes with adaptive coping among pediatric patients. In addition, clinical services may benefit from increased consideration of family factors, such as parental chronic stress, during oncological treatment.CC999999/Intramural CDC HHS/United States2018-03-06T00:00:00Z25755193PMC5839300vault:2747

    Children with perinatal stroke are at increased risk for autism spectrum disorder: Prevalence and co-occurring conditions within a clinically followed sample.

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    OBJECTIVE: Children with perinatal stroke are at increased risk for developmental language disorders, learning difficulties, and other mental health conditions. However to date, autism (ASD) prevalence in this group has not been reported. Given that early identification of ASD is essential to promoting optimal outcomes, our goal was to establish prevalence of ASD in children with perinatal stroke. METHOD: A prospectively enrolled, single-center stroke registry maintained at our institution since 2005 was queried for all potentially eligible patients with a history of perinatal stroke. Information regarding stroke features, ASD diagnosis/concern, intellectual disability/global developmental delay, cerebral palsy/hemiparesis, epilepsy, and language disorder were collected via retrospective chart review from electronic health records. RESULTS: 311 children were identified, of which 201 complete records were analyzed. Twenty-three cases were formally diagnosed with ASD (11.4%). First concerns were noted in toddlerhood (Mage = 2.66 years), yet the average age of diagnosis was 6.26 years. Children with ASD were more likely to have earlier diagnoses of intellectual disability/global developmental delay or a mixed receptive-expressive language disorder ( DISCUSSION: Children with perinatal stroke have an increased prevalence of ASD (11.4%) than in the general population. ASD concerns arise at a similar age as the general population, yet ASD is diagnosed almost two years later than the general population and 3.60 years after first concerns present. Co-occurring neurological conditions are common. Clinicians must be aware of increased prevalence and implement screening as part of routine care for all pediatric patients with perinatal stroke

    Pediatric Brain Development in Down Syndrome: A Field in Its Infancy

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    AbstractObjectives:As surprisingly little is known about the developing brain studiedin vivoin youth with Down syndrome (DS), the current review summarizes the small DS pediatric structural neuroimaging literature and begins to contextualize existing research within a developmental framework.Methods:A systematic review of the literature was completed, effect sizes from published studies were reviewed, and results are presented with respect to the DS cognitive behavioral phenotype and typical brain development.Results:The majority of DS structural neuroimaging studies describe gross differences in brain morphometry and do not use advanced neuroimaging methods to provide nuanced descriptions of the brain. There is evidence for smaller total brain volume (TBV), total gray matter (GM) and white matter, cortical lobar, hippocampal, and cerebellar volumes. When reductions in TBV are accounted for, specific reductions are noted in subregions of the frontal lobe, temporal lobe, cerebellum, and hippocampus. A review of cortical lobar effect sizes reveals mostly large effect sizes from early childhood through adolescence. However, deviance is smaller in adolescence. Despite these smaller effects, frontal GM continues to be largely deviant in adolescence. An examination of age-frontal GM relations using effect sizes from published studies and data from Lee et al. (2016) reveals that while there is a strong inverse relationship between age and frontal GM volume in controls across childhood and adolescence, this is not observed in DS.Conclusions:Further developmentally focused research, ideally using longitudinal neuroimaging, is needed to elucidate the nature of the DS neuroanatomic phenotype during childhood and adolescence. (JINS, 2018,24, 966–976)</jats:p

    Autism screening and diagnostic outcomes among toddlers born preterm.

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    AIM: To examine the Modified Checklist for Autism in Toddlers, Revised, with Follow-Up (M-CHAT-R/F), with follow-up screening and diagnostic outcomes for children born preterm. A secondary aim was to examine diagnostic evaluation attendance after screening to inform clinical practice. METHOD: Using a cross-sectional design, 9725 toddlers (4951 males; 4774 females) whose gestational age was reported were screened at 15-month, 18-month, or 24-month well-child visits; screen-positive children were invited for an autism evaluation. Screening measure performance and diagnostic outcomes were evaluated according to preterm classification (Screening: n RESULTS: Screen-positive rates were highest for children born extremely preterm (51.35%) and lowest for children born at term (6.95%). Evaluation attendance for screen-positive cases did not differ according to preterm classification. Rates of autism diagnoses differed depending on preterm birth status: for children born extremely preterm, it was 16.05%; for children born very preterm, it was 2.00%; for children born moderately preterm, it was 2.89%; and for children born at term, it was 1.49%. M-CHAT-R/F sensitivity decreased with increasing gestational age, whereas specificity improved with increasing gestational age. Positive predictive value was highest for children born extremely preterm and children born at term. Negative predictive value was consistently strong across all groups. The likelihood ratio for positive screening increased with gestational age. INTERPRETATION: The sensitivity and specificity of the M-CHAT-R/F are acceptable in toddlers born preterm. Autism screening-positive rates and prevalence increased with earlier preterm birth. Those born extremely preterm showed the greatest likelihood of an autism diagnosis; screening should not be delayed based on adjusted age

    Development and Replication of Objective Measurements of Social Visual Engagement to Aid in Early Diagnosis and Assessment of Autism

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    IMPORTANCE: Autism spectrum disorder is a common and early-emerging neurodevelopmental condition. While 80% of parents report having had concerns for their child\u27s development before age 2 years, many children are not diagnosed until ages 4 to 5 years or later. OBJECTIVE: To develop an objective performance-based tool to aid in early diagnosis and assessment of autism in children younger than 3 years. DESIGN, SETTING, AND PARTICIPANTS: In 2 prospective, consecutively enrolled, broad-spectrum, double-blind studies, we developed an objective eye-tracking-based index test for children aged 16 to 30 months, compared its performance with best-practice reference standard diagnosis of autism (discovery study), and then replicated findings in an independent sample (replication study). Discovery and replication studies were conducted in specialty centers for autism diagnosis and treatment. Reference standard diagnoses were made using best-practice standardized protocols by specialists blind to eye-tracking results. Eye-tracking tests were administered by staff blind to clinical results. Children were enrolled from April 27, 2013, until September 26, 2017. Data were analyzed from March 28, 2018, to January 3, 2019. MAIN OUTCOMES AND MEASURES: Prespecified primary end points were the sensitivity and specificity of the eye-tracking-based index test compared with the reference standard. Prespecified secondary end points measured convergent validity between eye-tracking-based indices and reference standard assessments of social disability, verbal ability, and nonverbal ability. RESULTS: Data were collected from 1089 children: 719 children (mean [SD] age, 22.4 [3.6] months) in the discovery study, and 370 children (mean [SD] age, 25.4 [6.0] months) in the replication study. In discovery, 224 (31.2%) were female and 495 (68.8%) male; in replication, 120 (32.4%) were female and 250 (67.6%) male. Based on reference standard expert clinical diagnosis, there were 386 participants (53.7%) with nonautism diagnoses and 333 (46.3%) with autism diagnoses in discovery, and 184 participants (49.7%) with nonautism diagnoses and 186 (50.3%) with autism diagnoses in replication. In the discovery study, the area under the receiver operating characteristic curve was 0.90 (95% CI, 0.88-0.92), sensitivity was 81.9% (95% CI, 77.3%-85.7%), and specificity was 89.9% (95% CI, 86.4%-92.5%). In the replication study, the area under the receiver operating characteristic curve was 0.89 (95% CI, 0.86-0.93), sensitivity was 80.6% (95% CI, 74.1%-85.7%), and specificity was 82.3% (95% CI, 76.1%-87.2%). Eye-tracking test results correlated with expert clinical assessments of children\u27s individual levels of ability, explaining 68.6% (95% CI, 58.3%-78.6%), 63.4% (95% CI, 47.9%-79.2%), and 49.0% (95% CI, 33.8%-65.4%) of variance in reference standard assessments of social disability, verbal ability, and nonverbal cognitive ability, respectively. CONCLUSIONS AND RELEVANCE: In two diagnostic studies of children younger than 3 years, objective eye-tracking-based measurements of social visual engagement quantified diagnostic status as well as individual levels of social disability, verbal ability, and nonverbal ability in autism. These findings suggest that objective measurements of social visual engagement can be used to aid in autism diagnosis and assessment
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