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Background: Comparison of bolus gastric feeding (BGF) vs continuous gastric feeding (CGF) with respect to timing and delivery of energy and protein in mechanically ventilated (MV) pediatric patients has not been investigated. We hypothesized that bolus delivery would shorten time to goal nutrition and increase the percentage of goal feeds delivered.Methods: Multicenter, prospective, randomized comparative effectiveness trial conducted in seven pediatric intensive care units (PICUs). Eligibility criteria included patients aged 1 month to 12 years who were intubated within 24 h of PICU admission, with expected duration of ventilation at least 48 h, and who were eligible to begin enteral nutrition within 48 h. Exclusion criteria included patients with acute or chronic gastrointestinal pathology or acute surgery. Results:We enrolled 158 MV children between October 2015 and April 2018; 147 patients were included in the analysis (BGF = 72, CGF = 75). Children in the BGF group were slightly older than those in the CGF; otherwise, the two groups had similar demographic characteristics. There was no difference in the percentage of patients in each group who achieved goal feeds. Time to goal feeds was shorter in the BGF group (hazard ratio 1.5 [CI 1.02-2.33]; P = 0.0387). Median percentage of target kilocalories (median kcal 0.78 vs 0.59; P ≤ 0.0001) and median percentage of protein delivered (median protein 0.77 vs 0.59; P ≤ 0.0001) was higher for BGF patients. There was no difference in serial oxygen saturation index between groups. Conclusion:Our study demonstrated shorter time to achieve goal nutrition via BGF compared with CGF in MV pediatric patients. This resulted in increased delivery of target energy and nutrition. Further study is needed in other PICU populations.

This cross-sectional study assessed associations between social-emotional development in young children and their number of daily routines involving an electronic screen. We hypothesized children with poor social-emotional development have a significant portion of daily routines occurring with a screen. Two hundred and ten female caregivers of typically developing children 12 to 36 months old completed the Ages and Stages Questionnaire: Social-Emotional (ASQ: SE) and a media diary. Caregivers completed the diary for 1 day around 10 daily routines (Waking Up, Diapering/Toileting, Dressing, Breakfast, Lunch, Naptime, Playtime, Dinner, Bath, and Bedtime). Median number of daily routines occurring with a screen for children at risk and not at risk for social-emotional delay (as defined by the ASQ: SE) was 7 versus 5. Children at risk for social-emotional delay were 5.8 times more likely to have ≥5 routines occurring with a screen as compared to children not at risk for delay (χ = 9.28, N = 210, P = .002; 95% confidence interval = 1.66-20.39).

BACKGROUND: Bubble CPAP, used for spontaneously breathing infants to avoid intubation or postextubation support, can be delivered with different interface types. This study compared the effect that interfaces had on CPAP delivery. We hypothesized that there would be no difference between set and measured levels between interface types. METHODS: A validated preterm infant nasal airway model was attached to the ASL 5000 breathing simulator. The simulator was programmed to deliver active breathing of a surfactant-deficient premature infant with breathing frequency at 70 breaths/min inspiratory time of 0.30 s, resistance of 150 cm H 2 O/L/s, compliance of 0.5 mL/cm H 2 O, tidal volume of 5 mL, and esophageal pressure of ؊10 cm H 2 O. Nasal CPAP prongs, size 4030, newborn and infant RAM cannulas were connected to a nasal airway model and a bubble CPAP system. CPAP levels were set at 4, 5, 6, 7, 8, and 9 cm H 2 O with flows of 6, 8, and 10 L/min each. Measurements were recorded after 1 min of stabilization. The analysis was performed using SAS 9.4. The Kolmogorov-Smirnov test assessed normality of the data. The Friedman test was used to compare non-normally distributed repeated measures. The Wilcoxon signed-rank test was used to conduct post hoc analysis. All tests were 2-sided, and P values of <.05 were considered as indicating significant differences unless otherwise indicated. RESULTS: At lower set CPAP levels, 4 -6 cm H 2 O, measured CPAP dropped precipitously with the nasal prongs with the highest flow setting. At higher CPAP levels, 7-9 cm H 2 O measured CPAP concomitantly increased as the flow setting increased. Statistically significant differences in set and measured CPAP occurred for all devices across all CPAP levels, with the measured CPAP less than set for all conditions, P < .001. CONCLUSIONS: Set flow had a profound effect on measured CPAP. The concomitant drop in measured pressure with high and low flows could be attributed to increased resistance to spontaneous breathing or insufficient flow to meet inspiratory demand. Clinicians should be aware of the effect that the interface and flow have on CPAP delivery.

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