RESUMO
This dataset offers an insight into the neurodevelopmental trajectories of preterm infants, encapsulating a wide array of neonatal and maternal factors. The data variables include demographic details alongside a detailed account of maternal health during pregnancy, encompassing aspects and other complications. Furthermore, the dataset documents neonatal health conditions. It also records critical indicators of neonatal health. The dataset is enriched with data on medical interventions and hospitalization details. It also contains information on the mother's drug usage during pregnancy and sonography results. A significant portion of the dataset is dedicated to the developmental assessment of the infants, utilizing the Bayley Scales to evaluate various domains such as cognitive, language, perceptual, fine motor, and coarse motor skills. The data are categorized to denote normal and abnormal outcomes in these domains, providing a detailed view of the developmental progress of the infants. The reuse potential of this dataset is substantial, serving as a rich resource for researchers and clinicians aiming to delve deeper into the multifaceted influences on preterm infant development. It can significantly contribute to the formulation of early intervention strategies, fostering a better understanding and enhancement of developmental outcomes in preterm infants.
RESUMO
OBJECTIVE: This retrospective cohort study aimed to evaluate neurodevelopmental outcomes of preterm infants (≤ 34 weeks gestational age) in the NICU. METHODS: This retrospective cohort study included 89 preterm infants admitted to the NICU of Ghaem hospital, Mashhad, between 2016 and 2020. Data on neonatal and maternal factors were collected. By recalling the mentioned infants in 2021, the neurodevelopmental outcomes were assessed using the Bayley Scales of Infant and Toddler Development. Data analysis included descriptive statistics, non-parametric tests, and binary logistic regression conducted with SPSS V.26 and R program software. RESULTS: The sample comprised 48.3 % males with a mean gestational age of 32.10 weeks. Bayley Scale analysis revealed significant associations of Intrauterine Growth Restriction, Pneumothorax, and Bronchopulmonary Dysplasia with impairments in all domains. Diabetes in Pregnancy, Surfactant use, and Necrotizing Enterocolitis were also significantly linked to various impairments. Lower Apgar scores, gestational age, birth weight, and extended hospitalization and oxygen therapy durations correlated with several domain impairments. Logistic regression showed hospitalization duration impacted the coarse motor domain (OR = 0.92, p = 0.019), oxygen therapy duration influenced cognitive, perceptual, and fine motor domains. CONCLUSION: This study underscores the importance of considering neonatal and maternal factors when assessing developmental outcomes in preterm infant. Long hospital stays and increase duration of oxygen therapy associated with negative developmental outcomes in different domains of Bayley scales. Early identification of these risk factors and targeted interventions may improve long-term outcomes for preterm children.
