OBJECTIVES/GOALS: We aim to identify neurodevelopment delays among children who were born prematurely. We will also calculate the sensitivity and specificity of the assessment tools used to measure the neurodevelopmental profile in early childhood of children exposed to the Neonatal Intensive Care Unit (NICU). METHODS/STUDY POPULATION: This cross-sectional study will include 100 premature children who were born between 32 to 37 weeks of gestational age and admitted to NICU at the University Pediatric Hospital in Puerto Rico. Their neurodevelopment will be measured with the Bayley III. Statistical analysis will be performed using IBM SPSS Statistics 25.0. Descriptive statistics will be used, normality distributions among all continuous variables, frequency distribution for categorical variables and logistic regressions to test association of GA and neurodevelopment delay. We will use the raw item scores for each domain of the Bayley III assessments to measure internal consistency using Cronbach’s alpha and factor analysis. RESULTS/ANTICIPATED RESULTS: We anticipate identifying the ND among children born prematurely between 32 to 37 weeks of gestational age and who were admitted to NICU at the University Pediatric Hospital in Puerto Rico. We also expect to find if gestational age impacts adversely ND in children who were born between 32 to 37 weeks of gestation. We will be able to assess if lower gestational age will impact global ND in contrast to higher gestational age neurodevelopment delays in one specific area of development. We will also be able to assess the sensitivity and specificity of the Bayley- III. DISCUSSION/SIGNIFICANCE: Premature is a major global health problem with a 12.0% prevalence. We want to promote early identification of ND in a diverse Hispanic Puerto Rican population so we can guide public health decisions and lead research initiatives to improve outcomes in the future or facing prematurity.