In a nationwide prospective cohort of Korean infants with very low birthweights (VLBW, birth weight < 1500 g) from 70 neonatal intensive care units of the Korean Neonatal Network, we investigated neurodevelopmental outcomes in preterm infants with retinopathy of prematurity (ROP) from 2132 infants with VLBW who had undergone developmental assessments at 18–24 months of corrected age. Motor, cognitive, or language delay was determined using developmental scores that were less than 1 standard deviation from the average. Comparative analyses and multivariate regression analyses were performed to validate the association between ROP or its treatment and developmental delay. Motor (52.8% vs. 36.3%), cognitive (46.8% vs. 31.6%), and language delays (42.5% vs. 28.4%) were noted more frequently in infants with ROP than in those without ROP; this was statistically significant (all P < 0.001). Multivariate analyses showed that motor and cognitive delays were significantly associated with ROP. There were no remarkable differences between the neurodevelopmental outcomes and the treatment modalities (laser photocoagulation, anti-vascular endothelial growth factor injection, or both) for ROP, and both stratification and multivariate regression analyses confirmed no significant association between anti-vascular endothelial growth factor therapy and neurodevelopmental delay. As ROP is significantly associated with poor neurodevelopmental outcomes independent of extreme prematurity, neurodevelopmental functions should be given attention in infants with ROP.

Background: The aim of this study was to determine the feasibility and outcomes of early surgical ligation in preterm neonates with hemodynamically significant patent ductus arteriosus (HSPDA) and to investigate predictors for surgical treatment after unsuccessful medical management. Methods: Medical records from the neonatal intensive care unit of Hanyang University Seoul Hospital from January 2010 to December 2018 were retrospectively reviewed. 233 preterm neonates weighing less than 1500g with HSPDA were enrolled in our study. Of these preterm neonates, 134 underwent surgical ligation and were subdivided into the early ligation group (n = 49; within 10 days of age) and the late ligation group (n = 85; after 10 days of age). Results: The mean gestational age and birth weight were significantly lower in the patent ductus arteriosus (PDA) ligation group than in the Non-ligation group (p < 0.001). PDA ductal diameter > 2.0 mm (p < 0.001), low Apgar score at 5 min (p = 0.033), and chorioamnionitis (p = 0.037) were the predictors for receiving surgical treatment for PDA. Early ligation was significantly associated with a low incidence of culture-proven sepsis (p = 0.004), mechanical ventilator time > 4 weeks (p = 0.007), necrotizing enterocolitis stage (NEC) ≥ III (p = 0.022), and intraventricular hemorrhage (IVH) grade ≥ III (p = 0.035). Conclusions: Early surgical ligation minimizes the adverse effects of HSPDA in predicted preterm neonates who subsequently require surgical treatment for PDA. This result suggests that in preterm neonates weighing less than 1500g with HSPDA that is unresponsive to medical treatment, delayed ductal closure should be avoided to reduce severe NEC, severe IVH, culture-proven sepsis, and facilitate earlier endotracheal extubation.

Preterm infants may exhibit altered developmental patterns of the brain structural network by endogenous and exogenous stimuli, which are quantifiable through hub and modular network topologies that develop in the third trimester. Although preterm brain networks can compensate for white matter microstructural abnormalities of core connections, less is known about how the network developmental characteristics of preterm infants differ from those of full-term infants. We identified 13 hubs and 4 modules and revealed subtle differences in edgewise connectivity and local network properties between 134 preterm and 76 full-term infants, identifying specific developmental patterns of the brain structural network in preterm infants. The modules of preterm infants showed an imbalanced composition. The edgewise connectivity in preterm infants showed significantly decreased long- and short-range connections and local network properties in the dorsal superior frontal gyrus. In contrast, the fusiform gyrus and several nonhub regions showed significantly increased wiring of short-range connections and local network properties. Our results suggested that decreased local network in the frontal lobe and excessive development in the occipital lobe may contribute to the understanding of brain developmental deviances in preterm infants.

Intestinal perforation (IP) in preterm infants is a life-threatening condition that may result in serious complications and increased mortality. Early Prediction of IP in infants is important, but challenging due to its multifactorial and complex nature of the disease. Thus, there are no reliable tools to predict IP in infants. In this study, we developed new machine learning (ML) models for predicting IP in very low birth weight (VLBW) infants and compared their performance to that of classic ML methods. We developed artificial neural networks (ANNs) using VLBW infant data from a nationwide cohort and prospective web-based registry. The new ANN models, which outperformed all other classic ML methods, showed an area under the receiver operating characteristic curve (AUROC) of 0.8832 for predicting IP associated with necrotizing enterocolitis (NEC-IP) and 0.8797 for spontaneous IP (SIP). We tested these algorithms using patient data from our institution, which were not included in the training dataset, and obtained an AUROC of 1.0000 for NEC-IP and 0.9364 for SIP. NEC-IP and SIP in VLBW infants can be predicted at an excellent performance level with these newly developed ML models. https://github.com/kdhRick2222/Early-Prediction-of-Intestinal-Perforation-in-Preterm-Infants.