OBJECTIVES/GOALS: This study seeks to comprehensively evaluate the extent to which participants in clinical trials (CT) for Atopic Dermatitis (AD) accurately mirror the demographics and characteristics of the broader AD-affected populations. We will achieve this objective by analyzing data from AD CTs spanning the years 2011 to 2022. METHODS/STUDY POPULATION: We examined completed trials for 10 FDA approved treatments for AD, utilizing data sourced fromclinicaltrials.gov [http://clinicaltrials.gov]. In light of the increased number of AD clinical trials over the past decade, we tailored our search parameters to encampass all trials related to approved treatments from 2011-2022. To assess the characteristics of the participant population in these trials, information including inclusion and exclusion criteria, age, location, sex, and disease severity were collected for each trial. Furthermore, race and ethnicity data were also extracted and analyzed. Additionally, comparisons were drawn between trials completed before and after April 2017, when the FDA began requiring that researchers publish race and ethnicity data toclinicaltrials.gov [http://clinicaltrials.gov]. RESULTS/ANTICIPATED RESULTS: Across 67 CTs examined, 45% of trials were restricted to adult patients, 28% were restricted to pediatric patients, and 27% included both. 77% of CTs occurred in urban settings and 23% occurred in rural settings according to the The Economic Research Service definition. 36% of CTs included mild-to-moderate AD patients, and 64% of CTs included moderate-to-severe AD patients. Race distribution of CTs revealed 67% White, 14% Black/African American, 16% Asian, and 3% others. 13% of participants identified as Hispanic or Latino. With further analysis, we will determine whether there is a difference in ethnic distribution between trials completed before and after April 2017, when the FDA started requiring race/ethnicity data to be submitted. DISCUSSION/SIGNIFICANCE: The findings highlight a significant concern in AD CTs: the insufficient representation of Black and Asian populations. The findings emphasize the need for a more inclusive selection process that accurately reflects the diversity of patients. Failing to do so could undermine the assessment of treatment effectiveness in such populations.