ABSTRACT
OBJECTIVE: Understand how high-risk infants' development changes over time. Examine whether NICU Network Neurobehavioral Scale (NNNS) profiles are associated with decrements in developmental outcomes between ages 2 and 3 years in infants born very preterm. STUDY DESIGN: The Neonatal Outcomes for Very preterm Infants (NOVI) cohort is a multisite prospective study of 704 preterm infants born <30 weeks' gestation across nine university and VON affiliated NICUs. Data included infant neurobehavior measured by NNNS profiles at NICU discharge and the Bayley Scales of Infant and Toddler Development (BSID-III) at ages 2 and 3 years. Generalized estimating equations tested associations between NNNS profiles and BSID-III composite score changes between ages 2 and 3 years. RESULTS: The final study sample included 433 infants with mean gestational age of 27 weeks at birth. Infants with dysregulated NNNS profiles were more likely to have decreases in BSID-III Cognitive (OR = 2.66) and Language scores (OR = 2.53) from age 2 to 3 years compared to infants with more well-regulated neurobehavioral NNNS profiles. Further, infants with more well-regulated NNNS profiles were more likely to have increases in BSID-III Cognitive scores (OR = 2.03), rather than no change, compared to infants with dysregulated NNNS profiles. CONCLUSIONS AND RELEVANCE: Prior to NICU discharge, NNNS neurobehavioral profiles identified infants at increased risk for developing later language and cognitive challenges. Findings suggests that neonatal neurobehavior provides a unique, clinically significant contribution to the evaluation of very preterm infants to inform treatment planning for the most vulnerable.
Subject(s)
Child Development , Infant, Extremely Premature , Humans , Male , Female , Child, Preschool , Infant, Newborn , Child Development/physiology , Infant, Extremely Premature/growth & development , Infant, Extremely Premature/physiology , Infant Behavior/physiology , Infant, Premature/growth & development , Infant, Premature/physiology , Developmental Disabilities/epidemiologyABSTRACT
Children born less than 30 weeks gestational age (GA) are at high risk for neurodevelopmental delay compared to term peers. Prenatal risk factors and neonatal epigenetics could help identify preterm children at highest risk for poor cognitive outcomes. We aimed to understand the associations among cumulative prenatal risk, neonatal DNA methylation, and child cognitive ability at age 3 years, including whether DNA methylation mediates the association between prenatal risk and cognitive ability. We studied 379 neonates (54% male) born less than 30 weeks GA who had DNA methylation measured at neonatal intensive care unit discharge along with 3-year follow-up data. Cumulative prenatal risk was calculated from 24 risk factors obtained from maternal report and medical record and epigenome-wide neonatal DNA methylation was assayed from buccal swabs. At 3-year follow-up, child cognitive ability was assessed using the Bayley Scales of Infant and Toddler Development (third edition). Cumulative prenatal risk and DNA methylation at two cytosine-phosphate-guanines (CpGs) were uniquely associated with child cognitive ability. Using high-dimensional mediation analysis, we also identified differential methylation of 309 CpGs that mediated the association between cumulative prenatal risk and child cognitive ability. Many of the associated CpGs were located in genes (TNS3, TRAPPC4, MAD1L1, APBB2, DIP2C, TRAPPC9, DRD2) that have previously been associated with prenatal exposures and/or neurodevelopmental phenotypes. Our findings suggest a role for both prenatal risk factors and DNA methylation in explaining outcomes for children born preterm and suggest we should further study DNA methylation as a potential mechanism underlying the association between prenatal risk and child neurodevelopment. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
Subject(s)
DNA Methylation , Epigenesis, Genetic , Infant, Extremely Premature , Humans , Female , Male , Risk Factors , Child, Preschool , Infant, Newborn , Pregnancy , Cognition/physiology , Child Development/physiology , Follow-Up Studies , Prenatal Exposure Delayed EffectsABSTRACT
BACKGROUND: Very preterm infants are at high risk for neurodevelopmental impairments. We used a child-centered approach (latent profile analysis [LPA]) to describe 2-year neurobehavioral profiles for very preterm infants based on cognitive, motor, and behavioral outcomes. We hypothesized that distinct outcome profiles would differ in the severity and co-occurrence of neurodevelopmental and behavioral impairment. METHODS: We studied children born <33 weeks' gestation from the Environmental influences on Child Health Outcomes Program with at least one neurobehavioral assessment at age 2 (Bayley Scales of Infant and Toddler Development, Child Behavior Checklist, Modified Checklist for Autism in Toddlers, cerebral palsy diagnosis). We applied LPA to identify subgroups of children with different patterns of outcomes. RESULTS: In 2036 children (52% male; 48% female), we found four distinct neurobehavioral profiles. Most children (~85%) were categorized into one of two profiles characterized by no/mild neurodevelopmental delay and a low prevalence of behavioral problems. Fewer children (~15%) fell into one of two profiles characterized by severe neurodevelopmental impairments. One profile consisted of children (5%) with co-occurring neurodevelopmental impairment and behavioral problems. CONCLUSION: Child-centered approaches provide a comprehensive, parsimonious description of neurodevelopment following preterm birth and can be useful for clinical and research purposes. IMPACT: Most research on outcomes for children born very preterm have reported rates of impairment in single domains. Child-centered approaches describe profiles of children with unique combinations of cognitive, motor, and behavioral strengths and weaknesses. We capitalized on data from the nationwide Environmental influences on Child Health Outcomes Program to examine these profiles in a large sample of children born <33 weeks gestational age. We found four distinct neurobehavioral profiles consisting of different combinations of cognitive, motor, and behavioral characteristics. This information could aid in the development of clinical interventions that target different profiles of children with unique developmental needs.
Subject(s)
Infant, Premature , Premature Birth , Infant , Humans , Infant, Newborn , Male , Female , Child, Preschool , Prospective Studies , Gestational Age , Fetal Growth Retardation , Outcome Assessment, Health Care , Child DevelopmentABSTRACT
Importance: Use of the Modified Checklist for Autism in Toddlers, Revised With Follow-Up, a 2-stage parent-report autism risk screening tool, has been questioned due to reports of poor sensitivity and specificity. How this measure captures developmental delays for very preterm infants may provide support for continued use in pediatric care settings. Objective: To determine whether autism risk screening with the 2-stage parent-report autism risk screening tool at age 2 years is associated with behavioral and developmental outcomes at age 3 in very preterm infants. Design, Setting, and Participants: Neonatal Neurobehavior and Outcomes for Very Preterm Infants was a longitudinal, multisite cohort study. Enrollment occurred April 2014 to June 2016, and analyses were conducted from November 2022 to May 2023. Data were collected across 9 university-affiliated neonatal intensive care units (NICUs). Inclusion criteria were infants born less than 30 weeks' gestational age, a parent who could read and speak English and/or Spanish, and residence within 3 hours of the NICU and follow-up clinic. Exposures: Prematurity and use of the 2-stage parent-report autism risk screening tool at age 2 years. Main Outcomes and Measures: Outcomes include cognitive, language, motor composites on Bayley Scales for Infant and Toddler Development, third edition (Bayley-III) and internalizing, externalizing, total problems, and pervasive developmental disorder (PDD) subscale on the Child Behavior Checklist (CBCL) at age 3 years. Generalized estimating equations tested associations between the 2-stage parent-report autism risk screening tool and outcomes, adjusting for covariates. Results: A total of 467 children (mean [SD] gestational age, 27.1 [1.8] weeks; 243 male [52%]) were screened with the 2-stage parent-report autism risk screening tool at age 2 years, and outcome data at age 3 years were included in analyses. Mean (SD) maternal age at birth was 29 (6) years. A total of 51 children (10.9%) screened positive on the 2-stage parent-report autism risk screening tool at age 2 years. Children with positive screening results were more likely to have Bayley-III composites of 84 or less on cognitive (adjusted odds ratio [aOR], 4.03; 95% CI, 1.65-9.81), language (aOR, 5.38; 95% CI, 2.43-11.93), and motor (aOR, 4.74; 95% CI, 2.19-10.25) composites and more likely to have CBCL scores of 64 or higher on internalizing (aOR, 4.83; 95% CI, 1.88-12.44), externalizing (aOR, 2.69; 95% CI, 1.09-6.61), and PDD (aOR, 3.77; 95% CI, 1.72-8.28) scales. Conclusions and Relevance: Results suggest that the 2-stage parent-report autism risk screening tool administered at age 2 years was a meaningful screen for developmental delays in very preterm infants, with serious delays detected at age 3 years.
Subject(s)
Autistic Disorder , Infant, Premature, Diseases , Infant , Infant, Newborn , Humans , Male , Child, Preschool , Adult , Infant, Premature , Cohort Studies , Infant, Very Low Birth Weight , Gestational AgeABSTRACT
OBJECTIVE: Broadband parent rating scales are commonly used to assess behavioral problems in children. Multiple rating scales are available, yet agreement between them is not well-understood. The objective of this study was to evaluate agreement between the Behavior Assessment System for Children, Third Edition (BASC-3), and Child Behavior Checklist 1.5 to 5 years (CBCL) in a sample of children born very preterm. METHOD: We assessed 73 children born < 30 weeks' gestational age whose caregivers completed the BASC-3 and CBCL at age 4. We examined correlations, within-person differences, and agreement in clinical categorization for all corresponding subscales and composites. RESULTS: Comparable subscales on the BASC-3 and CBCL were significantly correlated, albeit to differing magnitudes. Subscales indexing hyperactivity and attention problems were the most comparable across the 2 measures, evidenced by strong correlations and few to no differences in mean T-scores. Composite scores indexing internalizing, externalizing, and total problems were also strongly correlated, and there were no differences in the mean T-scores for externalizing or total problems across measures. Agreement in clinical classifications were weak to moderate, though again, the highest agreement was found for hyperactivity, attention, externalizing, and total problems. CONCLUSION: Agreement between BASC-3 and CBCL subscales was weak to moderate, with the exception of subscales related to attention and hyperactivity, as well as composite scores indicating overall behavior problems. Researchers and clinicians should consider these discrepancies when interpreting the results of behavior rating scales with preschool children because conclusions could differ based on the assessment that is used.
Subject(s)
Child Behavior Disorders , Problem Behavior , Infant, Newborn , Child, Preschool , Child , Humans , Behavior Rating Scale , Child Behavior Disorders/diagnosis , Child Behavior Disorders/etiology , Infant, Extremely PrematureABSTRACT
Tools for assessing multiple exposures across several domains (e.g., physical, chemical, and social) are of growing importance in social and environmental epidemiology because of their value in uncovering disparities and their impact on health outcomes. Here we describe work done within the Environmental influences on Child Health Outcomes (ECHO)-wide Cohort Study to build a combined exposure index. Our index considered both environmental hazards and social stressors simultaneously with national coverage for a 10-year period. Our goal was to build this index and demonstrate its utility for assessing differences in exposure for pregnancies enrolled in the ECHO-wide Cohort Study. Our unitless combined exposure index, which collapses census-tract level data into a single relative measure of exposure ranging from 0-1 (where higher values indicate higher exposure to hazards), includes indicators for major air pollutants and air toxics, features of the built environment, traffic exposures, and social determinants of health (e.g., lower educational attainment) drawn from existing data sources. We observed temporal and geographic variations in index values, with exposures being highest among participants living in the West and Northeast regions. Pregnant people who identified as Black or Hispanic (of any race) were at higher risk of living in a "high" exposure census tract (defined as an index value above 0.5) relative to those who identified as White or non-Hispanic. Index values were also higher for pregnant people with lower educational attainment. Several recommendations follow from our work, including that environmental and social stressor datasets with higher spatial and temporal resolutions are needed to ensure index-based tools fully capture the total environmental context.
Subject(s)
Air Pollutants , Female , Humans , Pregnancy , Air Pollutants/analysis , Cohort Studies , Environmental Exposure/analysis , Environmental Health , Hispanic or Latino , Outcome Assessment, Health Care , White , Black or African AmericanABSTRACT
OBJECTIVE: To identify neonatal characteristics and 2-year neurodevelopmental outcomes associated with positive screening for risk of autism. STUDY DESIGN: Nine university-affiliated neonatal intensive care units (NICUs) enrolled infants born at <30 weeks of gestation. Infants underwent the NICU Network Neurobehavioral Scale examination before discharge and the Bayley Scales of Infant and Toddler Development, Third Edition, the Child Behavior Checklist, and the Modified Checklist for Autism in Toddlers, revised with follow-up (M-CHAT-R/F) at 2 years of corrected age. Generalized estimating equations examined associations between M-CHAT-R/F, neurobehavioral test results, and neonatal medical morbidities. RESULTS: At 2 years of corrected age, data were available for 466 of 744 enrolled infants without cerebral palsy. Infants with hypoaroused NICU Network Neurobehavioral Scale profiles were more likely to screen M-CHAT-R/F-positive (OR 2.76, 95% CI 1.38-5.54). Infants with ≥2 medical morbidities also were more likely to screen positive (OR 2.65, 95% CI 1.27-5.54). Children with positive M-CHAT-R/F scores had lower Bayley Scales of Infant and Toddler Development, Third Edition, Cognitive (t [451] = 5.43, P < .001, d = 0.82), Language (t [53.49] = 7.82, P < .001, d = 1.18), and Motor (t [451] = 7.98, P < .001, d = 1.21) composite scores and significantly greater Child Behavior Checklist Internalizing (t [457] -6.19, P < .001, d = -0.93) and Externalizing (t [57.87] = -5.62, P < .001, d = -0.84) scores. CONCLUSIONS: Positive M-CHAT-R/F screens at 2 years of corrected age were associated with neonatal medical morbidities and neurobehavioral examinations as well as toddler developmental and behavioral outcomes. These findings demonstrate the potential utility of the M-CHAT-R/F as a global developmental screener in infants born very preterm, regardless of whether there is a later autism diagnosis.
Subject(s)
Autistic Disorder , Infant, Newborn , Infant , Humans , Autistic Disorder/diagnosis , Infant, Extremely PrematureABSTRACT
OBJECTIVE: To assess whether prenatal risk phenotypes are associated with neurobehavioral impairment for children born <30 weeks of gestation at discharge from the neonatal intensive care unit (NICU) and at 24-month follow-up. STUDY DESIGN: We studied infants from the Neonatal Neurobehavior and Outcomes in Very Preterm Infants (NOVI) study, a multisite investigation of infants born <30 weeks of gestation. There were 704 newborns enrolled in the NOVI study; of these, 679 (96%) had neonatal neurobehavioral data and 556 (79%) had 24-month follow-up data. Maternal prenatal phenotypes (physical and psychological risk groups) were characterized from 24 physical and psychological health risk factors. Neurobehavior was assessed at NICU discharge using the NICU Network Neurobehavioral Scales and at 2-year follow-up using the Bayley Scales of Infant and Toddler Development and the Child Behavior Checklist. RESULTS: Children born to mothers in the psychological risk group were at increased risk for dysregulated neonatal neurobehavior (OR, 2.04; 95% CI, 1.08-3.87) at NICU discharge, and for severe motor delay (OR, 3.80; 95% CI, 1.48-9.75), and clinically significant externalizing problems (OR, 2.54; 95% CI, 1.15-5.56) at age 24 months, compared with children born to mothers in the low-risk group. Children born to mothers in the physical risk group were more likely to have severe motor delay (OR, 2.70; 95% CI, 1.07-6.85) compared with the low-risk group. CONCLUSIONS: High-risk maternal prenatal phenotypes were associated with neurobehavioral impairment for children born very preterm. This information could identify newborns at risk for adverse neurodevelopmental outcomes.
Subject(s)
Infant, Extremely Premature , Mothers , Infant, Newborn , Humans , Pregnancy , Female , Intensive Care Units, Neonatal , Patient Discharge , PhenotypeABSTRACT
OBJECTIVE: To identify psychological, medical, and socioenvironmental risk factors for maternal postpartum depression (PPD) and severe psychological distress (SPD) at intensive care nursery discharge among mothers of very preterm infants. STUDY DESIGN: We studied 562 self-identified mothers of 641 infants born <30 weeks who were enrolled in the Neonatal Neurobehavior and Outcomes in Very Preterm Infants Study (NOVI) conducted in nine university-affiliated intensive care nurseries. Enrollment interviews collected socioenvironmental data, depression, and anxiety diagnoses prior to and during the study pregnancy. Standardized medical record reviews ascertained prenatal substance use, maternal and neonatal medical complications. The Edinburgh Postnatal Depression Scale and Brief Symptom Inventory were administered at nursery discharge to screen for PPD and SPD symptoms, respectively. RESULTS: Unadjusted analyses indicated mothers with positive screens for depression (n = 76, 13.5%) or severe distress (n = 102, 18.1%) had more prevalent prepregnancy/prenatal depression/anxiety, and their infants were born at younger gestational ages, with more prevalent bronchopulmonary dysplasia, and discharge after 40 weeks postmenstrual age. In multivariable analyses, prior depression or anxiety was associated with positive screens for PPD (risk ratio [RR]: 1.6, 95% confidence interval [CI]: 1.1-2.2) and severe distress (RR: 1.6, 95% CI: 1.1-2.2). Mothers of male infants had more prevalent depression risk (RR: 1.7, 95% CI: 1.1-2.4), and prenatal marijuana use was associated with severe distress risk (RR: 1.9, 95% CI: 1.1-2.9). Socioenvironmental and obstetric adversities were not significant after accounting for prior depression/anxiety, marijuana use, and infant medical complications. CONCLUSION: Among mothers of very preterm newborns, these multicenter findings extend others' previous work by identifying additional indicators of risk for PPD and SPD associated with a history of depression, anxiety, prenatal marijuana use, and severe neonatal illness. Findings could inform designs for continuous screening and targeted interventions for PPD and distress risk indicators from the preconception period onward. KEY POINTS: · Preconceptional and prenatal screening for postpartum depression and severe distress may inform care.. · Prior depression, anxiety, and neonatal complications predicted severe distress and depression symptoms at NICU discharge.. · Readily identifiable risk factors warrant continuous NICU screening and targeted interventions to improve outcomes..
ABSTRACT
BACKGROUND: Single-cohort studies have identified distinct neurobehavioral profiles that are associated with prenatal and neonatal factors based on the NICU Network Neurobehavioral Scale (NNNS). We examined socioeconomic, medical, and substance use variables as predictors of NNNS profiles in a multi-cohort study of preterm and term-born infants with different perinatal exposures. METHODS: We studied 1112 infants with a neonatal NNNS exam from the Environmental influences on Child Health Outcomes (ECHO) consortium. We used latent profile analysis to characterize infant neurobehavioral profiles and generalized estimating equations to determine predictors of NNNS profiles. RESULTS: Six distinct neonatal neurobehavioral profiles were identified, including two dysregulated profiles: a hypo-aroused profile (16%) characterized by lethargy, hypotonicity, and nonoptimal reflexes; and a hyper-aroused profile (6%) characterized by high arousal, excitability, and stress, with low regulation and poor movement quality. Infants in the hypo-aroused profile were more likely to be male, have younger mothers, and have mothers who were depressed prenatally. Infants in the hyper-aroused profile were more likely to be Hispanic/Latino and have mothers who were depressed or used tobacco prenatally. CONCLUSIONS: We identified two dysregulated neurobehavioral profiles with distinct perinatal antecedents. Further understanding of their etiology could inform targeted interventions to promote positive developmental outcomes. IMPACT: Prior research on predictors of neonatal neurobehavior have included single-cohort studies, which limits generalizability of findings. In a multi-cohort study of preterm and term-born infants, we found six distinct neonatal neurobehavioral profiles, with two profiles being identified as dysregulated. Hypo- and hyper-aroused neurobehavioral profiles had distinct perinatal antecedents. Understanding perinatal factors associated with dysregulated neurobehavior could help promote positive developmental outcomes.
Subject(s)
Mental Disorders , Parturition , Infant, Newborn , Infant , Child , Pregnancy , Female , Humans , Male , Cohort Studies , Wakefulness , Mothers , Infant BehaviorABSTRACT
OBJECTIVE: To examine the relationship between maternal pre-pregnancy body mass index (BMI) and neonatal neurobehavior in very premature infants. STUDY DESIGN: Multi-center prospective observational study of 664 very preterm infants with 227 born to obese mothers. The NICU Network Neurobehavioral Scale (NNNS) assessed neurobehavior at NICU discharge. RESULTS: Elevated BMI combined with infection increased the odds of having the most poorly regulated NNNS profile by 1.9 times per BMI SD. Infants born to mothers with elevated BMI in combination with: infection had poorer self-regulation, chorioamnionitis had increased asymmetrical reflexes, diabetes had poorer attention, and low SES required more handling. CONCLUSION: Maternal pre-pregnancy BMI alone did not affect short-term neonatal neurobehavior in infants born before 30 weeks gestation. Infants born to mothers with elevated pre-pregnancy weight in addition to infections, diabetes, or socioeconomic adversity demonstrated increased risk of having the most poorly regulated NNNS profile and deficits in multiple domains.
Subject(s)
Infant, Premature, Diseases , Infant, Premature , Body Mass Index , Female , Gestational Age , Humans , Infant , Infant, Newborn , Mothers , PregnancyABSTRACT
BACKGROUND: Infants born <30 weeks postmenstrual age (PMA) are at increased risk for neurodevelopmental impairment by age 2. Prior studies report rates of impairment for individual outcomes separately. Our objective was to describe neurodevelopmental profiles of children born <30 weeks PMA, using cognitive, language, motor, and behavioral characteristics. METHODS: We studied 587 children from a multi-center study of infants born <30 weeks PMA. Age 2 outcomes included Bayley-III subscale scores, Child Behavior Checklist syndrome scores, diagnosis of cerebral palsy (CP), and positive screen for autism spectrum disorder (ASD) risk. We used latent profile analysis (LPA) to group children into mutually exclusive profiles. RESULTS: We found four discrete neurodevelopmental profiles indicating distinct combinations of developmental and behavioral outcomes. Two of the profiles included 72.7% of the sample with most having Bayley scores within the normal range. The other two profiles included the remaining 27.3% of the sample with most having Bayley scores outside of the normal range. Only one profile (11% of sample) was comprised of children with elevated behavioral problems. CONCLUSION: Child-centered analysis techniques could facilitate the development of targeted intervention strategies and provide caregivers and practitioners with an integrative understanding of child behavior. IMPACT: Most studies examining neurodevelopmental outcomes in very preterm children report rates of impairment for individual outcomes separately. Comprehensive, "child-centered" approaches that integrate across multiple domains can be used to identify subgroups of children who experience different types of neurodevelopmental impairments. We identified four discrete neurodevelopmental profiles indicating distinct combinations of developmental and behavioral outcomes in very preterm children at 24 months. "Child-centered" analysis techniques may provide clinically useful information and could facilitate the development of targeted intervention strategies for high-risk children.
Subject(s)
Autism Spectrum Disorder , Cerebral Palsy , Neurodevelopmental Disorders , Autism Spectrum Disorder/complications , Autism Spectrum Disorder/diagnosis , Child , Child Development , Child, Preschool , Developmental Disabilities/complications , Developmental Disabilities/diagnosis , Female , Gestational Age , Humans , Infant , Infant, Newborn , Infant, Premature , Neurodevelopmental Disorders/diagnosis , Neurodevelopmental Disorders/etiology , Pregnancy , Prospective StudiesABSTRACT
BACKGROUND: Prenatal risk factors are related to poor health and developmental outcomes for infants, potentially via epigenetic mechanisms. We tested associations between person-centered prenatal risk profiles, cumulative prenatal risk models, and epigenome-wide DNA methylation (DNAm) in very preterm neonates. METHODS: We studied 542 infants from a multi-center study of infants born < 30 weeks postmenstrual age. We assessed 24 prenatal risk factors via maternal report and medical record review. Latent class analysis was used to define prenatal risk profiles. DNAm was quantified from neonatal buccal cells using the Illumina MethylationEPIC Beadarray. RESULTS: We identified three latent profiles of women: a group with few risk factors (61%) and groups with elevated physical (26%) and psychological (13%) risk factors. Neonates born to women in higher risk subgroups had differential DNAm at 2 CpG sites. Higher cumulative prenatal risk was associated with methylation at 15 CpG sites, 12 of which were located in genes previously linked to physical and mental health and neurodevelopment. CONCLUSION: We observed associations between prenatal risk factors and DNAm in very preterm infants using both person-centered and cumulative risk approaches. Epigenetics offers a potential biological indicator of prenatal risk exposure.
Subject(s)
DNA Methylation/genetics , Epigenesis, Genetic , Fetal Growth Retardation/genetics , Infant, Premature/growth & development , Prenatal Exposure Delayed Effects/genetics , Prenatal Exposure Delayed Effects/physiopathology , Adult , Age Factors , Female , Genome-Wide Association Study , Humans , Infant , Infant, Newborn , Male , Pregnancy , Risk Factors , Socioeconomic FactorsABSTRACT
BACKGROUND: Preterm birth places infants at higher risk of adverse long-term behavioral and cognitive outcomes. Combining biobehavioral measures and molecular biomarkers may improve tools to predict the risk of long-term developmental delays. METHODS: The Neonatal Neurobehavior and Outcomes in Very Preterm Infants study was conducted at nine neonatal intensive care units between April 2014 and June 2016. Cries were recorded and buccal swabs collected during the neurobehavioral exam. Cry episodes were extracted and analyzed using a computer system and the data were summarized using factor analysis. Genomic DNA was extracted from buccal swabs, quantified using the Qubit Fluorometer, and aliquoted into standardized concentrations. DNA methylation was measured with the Illumina MethylationEPIC BeadArray, and an epigenome-wide association study was performed using cry factors (n = 335). RESULTS: Eighteen CpGs were associated with the cry factors at genome-wide significance (α = 7.08E - 09). Two CpG sites, one intergenic and one linked to gene TCF3 (important for B and T lymphocyte development), were associated with acoustic measures of cry energy. Increased methylation of TCF3 was associated with a lower energy-related cry factor. We also found that pitch (F0) and hyperpitch (F0 > 1 kHz) were associated with DNA methylation variability at 16 CpG sites. CONCLUSIONS: Acoustic cry characteristics are related to variation in DNA methylation in preterm infants. IMPACT: Preterm birth is a major public health problem and its long-term impact on health is not well understood. Cry acoustics, related to prematurity, has been linked to a variety of medical conditions. Biobehavioral measures and molecular biomarkers can improve prediction tools for long-term developmental risks of preterm birth. Variation in epigenetic modulation in preterm infants provides a potential link between preterm birth and unfavorable developmental outcomes.
Subject(s)
Acoustics , Crying , Epigenesis, Genetic , Epigenome , Infant, Premature/physiology , Humans , Infant, NewbornABSTRACT
BACKGROUND: Psychosocial adversity escalates medical risk for poor outcomes in infants born <30 weeks gestation. Neonatal neurobehavior and maternal psychological and socioenvironmental assessments may identify the earliest specific intervention needs. We hypothesized that maternal prenatal anxiety, depression, and adverse medical and socioenvironmental conditions would be associated with less optimal neonatal neurobehavior at neonatal intensive care unit (NICU) discharge. METHODS: We studied 665 infants at 9 university NICUs. Risk indices of socioenvironmental, maternal, and neonatal medical factors were obtained from standardized, structured maternal interviews and medical record reviews. Brain injuries were classified by consensus ultrasonogram readings. NICU Network Neurobehavioral Scale (NNNS) exams were conducted at NICU discharge. RESULTS: On the NNNS, generalized estimating equations indicated infants of mothers with prenatal anxiety had less optimal attention, and those born to mothers with prenatal depression had increased lethargy. Maternal medical complications predicted suboptimal reflexes. Socioenvironmental risk predicted lower self-regulation and movement quality. Infants with more severe neonatal medical complications had lower attention, increased lethargy, and suboptimal reflexes. CONCLUSIONS: Combined information from the observed associations among adverse prenatal maternal medical and psychosocial conditions, and neonatal complications may assist in the early identification of infants at elevated neurobehavioral risk.
Subject(s)
Child Development , Infant Behavior , Infant, Newborn, Diseases/diagnosis , Infant, Premature , Mothers/psychology , Nervous System/growth & development , Neurologic Examination , Adult , Age Factors , Anxiety/epidemiology , Anxiety/psychology , Depression/epidemiology , Depression/psychology , Female , Gestational Age , Humans , Infant, Newborn , Infant, Newborn, Diseases/epidemiology , Infant, Newborn, Diseases/physiopathology , Infant, Newborn, Diseases/psychology , Infant, Premature/growth & development , Infant, Premature/psychology , Intensive Care Units, Neonatal , Male , Maternal Health , Mental Health , Mother-Child Relations , Predictive Value of Tests , Pregnancy , Premature Birth , Risk Assessment , Risk Factors , Social Determinants of Health , Socioeconomic Factors , United States/epidemiologyABSTRACT
BACKGROUND AND OBJECTIVES: Extremely low gestational age neonates are more likely than term infants to develop cognitive impairment. Few studies have addressed antenatal risk factors of this condition. We identified antenatal antecedents of cognitive impairment determined by the Mental Development Index (MDI) portion of the Bayley Scales of Infant Development, Second Edition (BSID-II), at 24 months corrected age. METHODS: We studied a multicenter cohort of 921 infants born before 28 weeks of gestation during 2002 to 2004 and assessed their placentas for histologic characteristics and microorganisms. The mother was interviewed and her medical record was reviewed. At 24 months adjusted age, children were assessed with BSID-II. Multinomial logistic models were used to estimate odds ratios. RESULTS: A total of 103 infants (11%) had an MDI <55, and 99 infants (11%) had an MDI between 55 and 69. No associations were identified between organisms recovered from the placenta and developmental delay. Factors most strongly associated with MDI <55 were thrombosis of fetal vessels (OR 3.1; 95% confidence interval [CI] 1.2, 7.7), maternal BMI >30 (OR 2.0; 95% CI 1.1, 3.5), maternal education ≤12 years (OR 3.4; 95% CI 1.9, 6.2), nonwhite race (OR 2.2; 95% CI 1.3, 3.8), birth weight z score < -2 (OR 2.8; 95% CI 1.1, 6.9), and male gender (OR 2.7; 95% CI 1.6, 4.5). CONCLUSIONS: Antenatal factors, including thrombosis of fetal vessels in the placenta, severe fetal growth restriction, and maternal obesity, convey information about the risk of cognitive impairment among extremely premature newborns.
Subject(s)
Cognition Disorders/diagnosis , Developmental Disabilities/diagnosis , Infant, Extremely Low Birth Weight , Infant, Premature, Diseases/diagnosis , Pregnancy Complications/diagnosis , Prenatal Diagnosis , Child Development , Child, Preschool , Cognition Disorders/epidemiology , Cohort Studies , Developmental Disabilities/epidemiology , Female , Fetal Growth Retardation/diagnosis , Fetal Growth Retardation/epidemiology , Follow-Up Studies , Humans , Incidence , Infant , Infant, Newborn , Infant, Premature, Diseases/epidemiology , Logistic Models , Male , Multivariate Analysis , Placenta Diseases/diagnosis , Placenta Diseases/epidemiology , Pregnancy , Pregnancy Complications/epidemiology , Risk Assessment , Time FactorsABSTRACT
BACKGROUND: Sepsis in premature infants is associated with adverse neurodevelopmental outcomes. No previous studies have assessed acute changes in brain function during sepsis that might precede these adverse outcomes. METHODS: We performed amplitude-integrated electroencephalography (aEEG) monthly, from 28 weeks until 36 weeks of postmenstrual age, on 108 premature infants born before 28 weeks of gestation. Additional aEEG recordings were performed during infants' first episode of sepsis. Two independent readers who were blinded to the infant's gestational age at birth and chronologic age, as well as to whether the infant had sepsis, evaluated aEEG recordings for the presence of burst suppression and assigned a maturation score. RESULTS: Burst supression was found in 22% of aEEG recordings from infants without sepsis and 57% of recordings from infants with sepsis at the time of the recording (odds ratio=4.2; 95% confidence limits=2.4, 7.2; p<0.001). After adjustment for postmenstrual age at the time of the recording, the association between sepsis and burst suppression persisted (odds ratio=2.4; 95% confidence limits=1.2, 4.8; p=0.01). No statistically significant difference was found in the rate of increase in aEEG maturation score between infants with sepsis and those without. CONCLUSION: Sepsis is associated with acute electroencephalographic changes, as indicated by burst supression, but not with a decreased rate of brain wave maturation.