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Introduction SARS-CoV-2 changed the lives of children and their parents in 2020. To our knowledge, no studies have examined infant and toddler sleep during this pandemic. We sought to compare parent-reported sleep characteristics of infants and toddlers over successive quarters of the past year. Methods Parents of children aged 0–36 months were surveyed primarily in the Midwestern USA between 01/17/2020 and 12/07/2020. Each parent responded only once. Age was categorized as: $150,000. The year was divided into quarters. Multivariable linear regression included Total Sleep Time (TST), Sleep Onset Latency (SOL) and parental frustration with sleep (any frustration, scale of 1–5) as dependent variables and year quarter, child’s age, prematurity, child’s comorbidities, maternal age (during their child’s birth), parenting experience, household income, and room sharing as independent variables. Logistic regression included nap consistency (napping at the same time daily) as the dependent variable, and year quarter, child’s age, prematurity, comorbidity, maternal age, parenting experience, household income, and room sharing as independent variables. Results Of 594 children, mean age was 18.5±9.7 months and 52% were female. Prematurity and comorbidities were reported for 8% and 15%, respectively. Mean maternal age was 31.8±4.5 years. Neither TST (β=-0.488; p= 0.16) nor SOL (β= 0.029; p=0.23) were associated with year quarter. SOL was 3 minutes less for each increase in income category (β =-0.051; p= 0.003). TST (β = -0.994; p Conclusion Parent-estimated TST, nap consistency and sleep-related frustration did not differ significantly over the first 12 months of the pandemic. Yet, our results underscore that special attention should be given to the sleep of infants and toddlers with comorbidities, who share a room, and who have a lower household income. Support (if any) 2T32HL110952-06

Objectives The neurological examination of critically ill neonates is largely limited to reflexive behavior. The exam often ignores sleep-wake physiology that may reflect brain integrity and influence long-term outcomes. We assessed whether polysomnography and concurrent cerebral near-infrared spectroscopy (NIRS) might improve prediction of 18-month neurodevelopmental outcomes. Methods Term newborns with suspected seizures underwent standardized neurologic examinations to generate Thompson scores and had 12-hour bedside polysomnography with concurrent cerebral NIRS. For each infant, the distribution of sleep-wake stages and electroencephalogram delta power were computed. NIRS-derived fractional tissue oxygen extraction (FTOE) was calculated across sleep-wake stages. At age 18-22 months, surviving participants were evaluated with Bayley Scales of Infant Development (Bayley-III), 3rd edition. Results Twenty-nine participants completed Bayley-III. Increased newborn time in quiet sleep predicted worse 18-month cognitive and motor scores (robust regression models, adjusted r2 = 0.22, p = .007, and 0.27, .004, respectively). Decreased 0.5-2 Hz electroencephalograph (EEG) power during quiet sleep predicted worse 18-month language and motor scores (adjusted r2 = 0.25, p = .0005, and 0.33, .001, respectively). Predictive values remained significant after adjustment for neonatal Thompson scores or exposure to phenobarbital. Similarly, an attenuated difference in FTOE, between neonatal wakefulness and quiet sleep, predicted worse 18-month cognitive, language, and motor scores in adjusted analyses (each p Conclusions These prospective, longitudinal data suggest that inefficient neonatal sleep-as quantified by increased time in quiet sleep, lower electroencephalogram delta power during that stage, and muted differences in FTOE between quiet sleep and wakefulness-may improve prediction of adverse long-term outcomes for newborns with neurological dysfunction.