OBJECTIVES/GOALS: Building community-engaged research capacity is imperative to improve translation, but not everyone exhibits capacity to conduct research, especially community. We modified the research institute planning and implementation process between 2022 and 2023 to increase community appeal and engagement. METHODS/STUDY POPULATION: The 2022 and 2023 Community-Engaged Research Institutes (CERI) varied in their formats. For 2022, we hosted a one-hour planning session with community-academic dyads from our Community Advisory Board facilitated by the CEO director and co-director. The 2022 CERI consisted of five sessions totaling 12 hours. The first session was hybrid, followed by four virtual sessions. For 2023, we hosted two, facilitated one-hour planning sessions with community partners who attended the 2022 CERI, based on feedback and attendance from 2022. The 2023 CERI was consolidated to a seven-hour, one-day hybrid session. RESULTS/ANTICIPATED RESULTS: In 2022, two community partners participated as CERI panelists. There were 95 unique attendees spanning five days. Of the 95 attendees, 67% (n=64) were researchers and 33% (n=31) were community members. In 2023, eight community partners participated as CERI panelists and presenters. There were 57 unique attendees, of which 61% (n=34) were researchers and 39% (n=23) were community members. When comparing attendance for 2022 (29%, n=28) and 2023 (86%, n=49), in-person attendance was increased by 57%. DISCUSSION/SIGNIFICANCE: In 2023, we focused on research capacity building for community partners to align with community engagement principles and increasing research impact across the translational spectrum. Partnering with community elevated appeal for community participation and an increase in-person attendance.

OBJECTIVES/GOALS: The goal of this study is to leverage a national database to see if autologous reconstruction rates differ in patient and clinical characteristics, readmission rates, and overall survival (OS) compared to other forms of reconstruction. Autologous reconstruction has not been looked at in this way before. METHODS/STUDY POPULATION: • Aim 1: Use the National Cancer Data Base to construct three patient cohorts for women under 70 and above 18 treated surgically for breast cancer with A) mastectomy only, B) implant-based reconstruction, and C) autologous breast reconstruction. • Aim 2: Examine receipt rates of surgical intervention in Cohorts A vs. B vs. C based on clinical and patient demographic/socioeconomic characteristics. • Aim 3: Compare readmission and overall survival (OS) rates for Cohorts A vs. B vs. C while controlling for age and other key variables. RESULTS/ANTICIPATED RESULTS: Based on the literature, we expect rates of autologous reconstruction (Cohort C) to be lower for patients of minority backgrounds compared to white individuals. In addition, we do not expect overall survival to differ between implant-based (Cohort B) and Cohort C reconstruction. Still, we expect mastectomy-only (Cohort A) survival to vary from the two cohorts even when adjusting for different clinical factors, as similar but smaller studies have shown. Finally, we expect readmission rates to be higher for Cohort C, compared to Cohorts A & B, as it is a more complicated procedure typically done in academic institutions with skilled surgeons. DISCUSSION/SIGNIFICANCE: Autologous reconstruction is now considered the gold standard due to its ability to restore the breast shape with higher patient satisfaction and superior long-term outcomes. Multiple studies have documented ongoing racial disparities in post-mastectomy breast reconstruction and autologous reconstruction, with lower rates and referrals.

OBJECTIVES/GOALS: Super refractory status epilepticus (SRSE) is associated with high mortality, often due to withdrawal of life sustaining therapy (WLST) based on perceived poor neurological prognosis. Factors influencing decision making are underreported and poorly understood. We surveyed clinicians who treat SRSE to identify factors that influence WLST. METHODS/STUDY POPULATION: Health care providers (HCP), including physicians, pharmacists, and advanced practice providers, who treat SRSE answered a 51-question survey on respondent demographics, institutional characteristics and SRSE management that was distributed though professional societies. Respondents described approaches to prognostication and rated the importance of clinical factors in the management of two hypothetical clinical cases followed by their prediction of recovery potential for the same two cases. Neurointensivists and other HCP responses were compared using descriptive statistics to differentiate group characteristics; a p-value <0.05 was considered significant. Logistical regression models were employed to identify associations between clinician specific factors and prognostication. RESULTS/ANTICIPATED RESULTS: One-hundred and sixty-four respondents were included in the analysis. Compared to other HCPs (neurologists, epileptologists, neurosurgeons, other intensivists; n=122, 74%), neurointensivists (n=42, 26%) [Odds ratio (OR) 0.3, 95% confidence interval (CI) 0.14-0.68), p=.004)] were less likely to use prognostic severity scores and were less likely to prognosticate likelihood of good functional recovery (OR: 0.28 (95% CI: 0.13-0.62), p=.002) compared to non-neurointensivist HCPs, controlling for potential confounders including professional degree, years of experience, country of practice, and annual volume of SRSE cases. There was, however, significant overlap in factors deemed necessary for determining futility in care escalation. DISCUSSION/SIGNIFICANCE: Neurointensivists value similar clinical factors to other HCPs when evaluating medical futility in SRSE but are less likely to predict definitive outcomes. Pending final survey results, future studies aimed at understanding why neurointensivists may be less likely to decisively prognosticate (i.e. avoiding nihilism) in SRSE may be warranted.

OBJECTIVES/GOALS: To evaluate the association of maternal delivery history with a brachial plexus birth injury (BPBI) risk in subsequent deliveries, and to estimate the effect of subsequent delivery method on BPBI risk. METHODS/STUDY POPULATION: We conducted a retrospective cohort study of all livebirth deliveries occurring in California-licensed hospitals from 1996-2012. The primary outcome was recurrent BPBI in a subsequent pregnancy. The exposure was prior delivery history (parity, shoulder dystocia in a previous delivery, or previously delivering an infant with BPBI). Multiple logistic regression was used to model adjusted associations of prior delivery history with BPBI in a subsequent pregnancy. The adjusted risk (AR) and adjusted risk difference (ARD) for BPBI between vaginal and cesarean delivery in subsequent pregnancies were determined, stratified by prior delivery history, and the number of cesarean deliveries needed to prevent one BPBI was determined. RESULTS/ANTICIPATED RESULTS: Of 6,286,324 infants delivered by 4,104,825 individuals, 7,762 (0.12%) were diagnosed with a BPBI. Higher parity was associated with a 5.7% decrease in BPBI risk with each subsequent delivery (aOR 0.94, 95%CI 0.92, 0.97). Previous shoulder dystocia or BPBI were associated with 5-fold (aOR=5.39, 95%CI 4.10, 7.08) and 17-fold increases (aOR=17.22, 95%CI 13.31, 22.27) in BPBI risk, respectively. Among individuals with a history of delivering an infant with a BPBI , cesarean delivery was associated with a 73.0% decrease in BPBI risk (aOR=0.27, 95%CI 0.13, 0.55), compared with an 87.9% decrease in BPBI risk (aOR=0.12, 95%CI 0.10, 0.15) in individuals without this history. Among individuals with a previous history of BPBI, 48.1 cesarean deliveries are needed to prevent one BPBI. DISCUSSION/SIGNIFICANCE: Parity, previous shoulder dystocia, and previously delivering a BPBI infant are associated with future BPBI risk. These factors are identifiable prenatally and can inform discussions with pregnant individuals regarding BPBI risk and planned mode of delivery.

OBJECTIVES/GOALS: In 2022, Chicago created the COVID-19 Response Corps, a cohort of community health workers (CHWs), trained to conduct contact tracing and vaccine outreach. Through an Earn and Learn program, corps members studied community-engaged participatory research, and co-led a rapid assessment with researchers to assess vaccine hesitancy in communities. METHODS/STUDY POPULATION: The Chicago COVID-19 Community Response corps worked to mitigate COVID-19 transmission in disadvantaged neighborhoods by activating CHWs, a diverse public health workforce from communities most affected by health and economic inequities. The Earn and Learn Program allotted 600 corps members up to 7.5 hrs/week of paid capacity building opportunities to learn new skills, pursue training programs, or college courses. Embodying a praxis of participatory action research and intergenerational organizing, corps members co-designed research questions and survey instruments, pilot tested the tools, trained other corps members on how to recruit and collect data, and contributed to the analysis and interpretation of the results. They generated evidenced-informed solutions to address future real-world problems. RESULTS/ANTICIPATED RESULTS: Corps members brought insight, cultural literacy, and lived experience that was invaluable in reaching the priority population of unvaccinated Chicagoans. They enhanced all aspects of the rapid assessment while conducting their work safely and comfortably in neighborhoods that outsiders consider challenging. Community member responses as to why they had not yet received a COVID-19 vaccine included being unable to risk putting what they saw as a rushed or improperly tested product into their bodies, to not being able to risk becoming ill even temporarily due to the potential for lost wages, as well as having other priorities in their lives which took precedence over concern about COVID-19, such as paying bills and feeding their families. DISCUSSION/SIGNIFICANCE: Research and evaluation benefits from the inclusion of CHWs. They are agile agents of change with the potential to replenish and repair trust in a fractured public health system. Engaging CHWs in evaluation work can strengthen community-academic partnerships and enhance the understanding of challenges and solutions to improving community health.

OBJECTIVES/GOALS: Early life pain/stress impacts infants’ neurodevelopmental outcomes. Mitochondrial dysfunction may interface between infants’ stress and neurodevelopment. The study aims to investigate the associations between pain/stress, proteins associated with mitochondrial dysfunction, and neurobehavioral responses in preterm infants. METHODS/STUDY POPULATION: A prospective cohort study was conducted with 33 preterm infants enrolled between September 2017 and July 2022 at two affiliated NICUs in Hartford and Farmington, CT. Daily pain/stress experienced during NICU was documented. At 36-38 weeks post-menstrual age (PMA), neurobehavioral outcomes were evaluated using the NICU Network Neurobehavioral Scale (NNNS) and buccal swabs for Mass spectrometry-based proteomics analysis. Lasso statistical methods were conducted to study the association between protein abundance and infants’ NNNS summary scores. Multiple linear regression and Gene Ontology (GO) enrichment analyses were performed to examine how clinical characteristics and neurodevelopmental outcomes may be associated with protein levels and underlying molecular pathways. RESULTS/ANTICIPATED RESULTS: During NICU hospitalization, preterm premature rupture of membrane (PPROM) was negatively associated with neurobehavioral outcomes. The protein functions, including leptin receptor binding activity, glutathione disulfide oxidoreductase activity, and response to oxidative stress, lipid metabolism, phosphate, and proton transmembrane transporter activity, were negatively associated with neurobehavioral outcomes. In contrast, cytoskeletal regulation, epithelial barrier, and protection function were found to be positively associated with neurodevelopmental outcomes. In addition, mitochondrial dysfunction-related proteins (SPRR2A, PAIP1, S100A3, MT-CO2, PiC, GLRX, PHB2, and BNIPL-2, ABLIM1, UNC45A, Keratins, MUC1, and CYB5B) were found to be associated with neurobehavioral outcomes. DISCUSSION/SIGNIFICANCE: Mitochondrial dysfunction-related proteins were observed to be associated with early life pain/stress and neurodevelopmental outcomes in infants. Buccal proteins could be used to predict potential neurobehavioral outcomes. In addition, individualized skin integrity protection should be provided to preterm infants during their NICU stay.

OBJECTIVES/GOALS: We aimed to conduct an updated genome-wide meta-analysis of keloids in expanded populations, including those most afflicted by keloids. Our overall objective was to improve understanding of keloid development though the identification and further characterization of keloid-associated genes with genetically predicted gene expression (GPGE). METHODS/STUDY POPULATION: We used publicly available summary statistics from several large-scale DNA biobanks, including the UK Biobank, FinnGen, and Biobank Japan. We also leveraged data from the Million Veterans Program and performed genome-wide association studies of keloids in BioVU and eMERGE. For each of these datasets, cases were determined from ICD-9/ICD-10 codes and phecodes. With these data we conducted fixed effects meta-analysis, both across ancestries and stratified by broad ancestry groups. This approach allowed us to consider cumulative evidence for genetic risk factors for keloids and explore potential ancestry-specific components of risk. We used FUMA for functional annotation of results and LDSC to estimate ancestry-specific heritability. We performed GPGE analysis using S-PrediXcan with GTEx v8 tissues. RESULTS/ANTICIPATED RESULTS: We detected 30 (23 novel) genomic risk loci in the cross-ancestry analysis. Major risk loci were broadly consistent between ancestries, with variable effects. Keloid heritability estimates from LDSC were 6%, 21%, and 34% for European, East Asian, and African ancestry, respectively. The top hit (P = 1.7e-77) in the cross-ancestry analysis was at a replicated variant (rs10863683) located downstream of LINC01705. GPGE analysis identified an association between decreased risk of keloids and increased expression of LINC01705 in fibroblasts (P = 3.6e10-20), which are important in wound healing. The top hit in the African-ancestry analysis (P = 5.5e-31) was a novel variant (rs34647667) in a conserved region downstream of ITGA11. ITGA11 encodes a collagen receptor and was previously associated with uterine fibroids. DISCUSSION/SIGNIFICANCE: This work significantly increases the yield of discoveries from keloid genetic association studies, describing both common and ancestry-specific effects. Stark differences in heritability support a potential adaptive origin for keloid disparities. Further work will continue to examine keloids in the broader context of other fibrotic diseases.

OBJECTIVES/GOALS: The objectives of the Academy of Community Reviewers (ACR) serve to: (1) provide comprehensive education and training to community members about clinical research and the community review process for clinical research grants; and (2) collaborate with the community in the development of the training to ensure benefice and meaningful engagement. METHODS/STUDY POPULATION: This training targets community members who will serve as future grant reviewers for The Ohio State University Center for Clinical Translational Science (CCTS) pilot grant submissions, other grant submissions and as expert consultants on other projects needing community perspectives. In 2019 and 2020, this training was offered as a live session. Thirty-eight community reviewers were trained and have served as grant reviewers and consultants on over 70 projects. Based on feedback of former graduates, time demands, logistics, and technology advances warranted transitioning the course to an online learning platform. ACR graduates were consulted in course redesign and updates. Course revisions include material on DEIA, implicit bias and health equity in clinical research with narrated lectures. RESULTS/ANTICIPATED RESULTS: Each of the 7 modules (including a total of 15 submodules) will have a brief summary knowledge check. The module “How to incorporate diversity, equity, inclusion and accessibility in health research” will invite trainees to independently explore their own social identity and biases through a guided exercise. The last (7th) module will have interactive opportunities for submitting grant reviews and participation in an online grant review session, geared to The Ohio State University CCTS. ACR graduates have been invited to consult on educational material and pilot the new course. Demographic, knowledge assessments and module evaluations will be collected. An overall course evaluation and focus group interviews with graduates will also be analyzed for quality improvement and contributions in grant reviews. DISCUSSION/SIGNIFICANCE: The increased accessibility of the ACR course will foster more inclusive community engagement and support the development of clinical and translational research that is innovative, efficient, equitable, and relevant to its beneficiaries. This in depth community reviewer training has been designed to be used and customized to other CTSA Hubs.

OBJECTIVES/GOALS: ICD-10 coding inconsistencies hinder timely recognition and treatment of metabolic syndrome (MetS), posing a significant risk for cardiometabolic disease progression. This study employed a digital phenotype for MetS and compared odds for medication and lifestyle intervention compared to those coded for MetS. METHODS/STUDY POPULATION: MetS is a cluster of cardiometabolic risk factors that increase risk for numerous adverse clinical outcomes. Patients with MetS were identified through electronic medical records on TriNetX LLC using the standard ICD-10 code or through a digital phenotype, involving grouping codes for the individual components. Percentage of patients with MetS not captured with the standard code was identified. In addition, disparities in blood pressure, glucose, lipid-lowering medication, and lifestyle intervention between the coding schemas were assessed, shedding light on healthcare inequities and informing targeted interventions. Odds ratios (RR) were presented for all outcomes. RESULTS/ANTICIPATED RESULTS: Patient demographics and lab values were similar between the standard code and digital phenotype cohorts. Of the 4.3 million individuals aged 50 to 80 identified as having MetS using the digital phenotype in the TriNetX research network, only 1.78% of participants shared the standard code. Individuals with the digital phenotype for MetS were at lower odds in receiving glucose lowering medication (OR: 2.11, 95% CI: 1.98–2.13, p <0.001) and exercise or nutrition-based intervention advice (OR: 1.76, 95% CI: 1.55–1.96, p <0.001) after controlling for demographics and lab values for each MetS component. DISCUSSION/SIGNIFICANCE: This project utilized TriNetX to create a digital phenotype for MetS, and suggests most patients are not coded for it using the standard ICD-10 system. This is troublesome given those with the standard code are less likely to receive certain interventions.

OBJECTIVES/GOALS: Investigators are looking to integrate DE&I into trials, increasing study population diversity. In response, the Community and Recruitment programs of the Oregon Clinical and Translational Research Institute (OCTRI), built a collaborative, community-focused system for investigators interested in community engagement and recruitment. METHODS/STUDY POPULATION: Historically, the OCTRI Community and Recruitment programs operated independently. To build a community-focused support system for investigators, we began with the programs learning about each other’s goals, values, and operations over a six-month period. Over the next two years, we then began integrating into each other’s team meetings and processes. Each team has their own process for providing services to investigators, consisting of intake and consultations. To these, we added tags for the other’s program topics. This allowed efficient identification of opportunities for referrals and joint consultations. Program leads meet regularly to discuss referrals and partnerships allowing for more effective and consistent collaboration. RESULTS/ANTICIPATED RESULTS: Over the last two years, OCTRI Community and Recruitment built a collaborative process that allows investigators to work with both programs, receiving comprehensive, supportive assistance and education on how to design their study, engage with community, and recruit participants in a community-based setting. During this time, the programs have: provided consultations that discussed the other’s program (N=21); made direct referrals to the other program (N=4); and, provided joint consultations (N=2). Studies that are investigator-initiated, in planning phase, and population focused were found to benefit most from the collaborative efforts. Additionally, we have improved the collaborative process during this time, resulting in more streamlined, efficient support services for investigators. DISCUSSION/SIGNIFICANCE: Diverse study populations and DE&I are essential to research. This collaborative, community-engaged recruitment approach by our programs allows investigators to leverage both programs’ resources and expertise. We continue to identify best practices and study types that benefit from this collaborative approach to improve our services.

OBJECTIVES/GOALS: Our project aims to assess the composition or characteristics of research papers that score high on alternative metrics. These alternative metrics including the number of newspaper mentions, social media mentions, and the attention score as catalogued on Altmetric, a tool used to document community attention for a given research paper. METHODS/STUDY POPULATION: Our study intends to 1) Utilize topic modeling to identify prevalent themes on Altmetric, and 2) Apply network analysis to elucidate the interconnectedness among universities, funding sources, journals, and publishers associated with high-attention papers. 3) Examine how these patterns vary when attention metrics shift, such as social media mentions, newspaper mentions, or the Altmetric score. We'll first perform this analysis on all types of papers and then limit the networks to Biomedical and Clinical Sciences, and Public and Allied Health Sciences to help inform what health topics garner attention. RESULTS/ANTICIPATED RESULTS: Our initial Altmetric topic models revealed sustained attention for COVID-19 and vaccination-related publications well beyond the pandemic (specifically, papers from January 2023). Health topics like cancer, dementia, and obesity also garnered high attention. Additionally, political papers (elections, democracy), climate change, and battery research had notable attention values. Further analysis needs to be done to explain why these topics gain attention and the type of attention they garner. We will construct networks to see the relationship between attention and entities like universities, funding sources, journals, and publishers. This will identify whether certain clusters of these entities produce papers with high attention or if attention is distributed evenly amoung them. DISCUSSION/SIGNIFICANCE: To gauge the broader impact of scholarly research alternative metrics beyond citations are needed. Altmetric is used widely by CTSA’s to measure the community interest in research. Understanding the types of research that gain traction on Altmetric can help researchers understand how to garner interest from the community.

OBJECTIVES/GOALS: Clinical Issue/ Practice Problem: A high turnover rate for research nurses was identified between 2017-2022 in the clinical research center at an urban Midwest academic health center. Inexperienced staff and high turnover are barriers to maintaining high-quality research integrity, efficacy, and safety for research projects and participants. METHODS/STUDY POPULATION: Project Implementation: A formal mentorship program was developed based on a curriculum from the International Association of Clinical Research Nursing Scope and Standards of Practice. The six-week project was implemented for research nurses with less than 2 years of experience. Mentees were paired with senior research nurses and met one-on-one weekly. Mentees completed the Anticipated Turnover Scale (ATS) survey in week 1 and week 6. All program participants completed a final evaluation survey. RESULTS/ANTICIPATED RESULTS: Outcomes: There was a one-point average reduction in pre- and post-ATS survey scores. This result supports the theory that mentees were less likely to leave their research role after a formal mentorship program. Qualitative results from the final evaluation survey demonstrate the program had a positive impact and benefits for both the mentees and the mentors. DISCUSSION/SIGNIFICANCE: Clinical Implications: By decreasing turnover rates, a highly competent and knowledgeable research nursing staff is attained to ensure appropriate nursing action and safety profiles for novel therapies.

OBJECTIVES/GOALS: This project presents the Post-doctoral Master of Science in Clinical and Translational Research (MSc) program’s outcomes in 20 years of its implementation. This program is a joint offering between the Schools of Health Professions and School of Medicine of the University of Puerto Rico. METHODS/STUDY POPULATION: This study consists of secondary data analysis of academic and administrative documents. It also includes data from the Annual Evaluation retreats reports and an Alumni Follow-up Survey using an electronic questionnaire. All 121 Scholars admitted to the program from academic years 2003 to 2023 were included in the sample. Data analysis included descriptive statistical analysis of quantitative data and qualitative content analysis regarding recruitment/admissions, faculty composition, curriculum design, Scholars’ outcomes, and program’s financial support sources. Quantitative data were analyzed using the statistical software SPSS. RESULTS/ANTICIPATED RESULTS: Scholars of the program had been recruited from the UPR-MSC and several partner institutions with diverse backgrounds, disciplines, and research areas. Faculty and committee members have representation from the six MSC-Schools and partner institutions. The academic Program structure has changed over the years, and currently, more than 65% of the courses are offered online. Several financial sources have been identified to support the scholars. The Scholars’ portfolios of grant submission and publication productivity evidence the program’s success. Graduates have also been successful in advancing to positions that foster research impacting Hispanics. DISCUSSION/SIGNIFICANCE: The Post-doctoral Master’s in Clinical and Translational Research program (MSc) has contributed to the formation of committed Hispanic clinical and translational researchers impacting minorities and contributing to diversity in the research workforce.

OBJECTIVES/GOALS: We will reduce the number of research staff by 50% within 6 months that are non-compliant with completing the Good Clinical Practice (GCP) course without increasing costs as measured by salary and benefits for staff involved in the tracking and assignment process. We will also introduce a GCP policy to define the education requirements for GCP training METHODS/STUDY POPULATION: We touted focus groups to stakeholders for input on workflows with graphs, surveys, and meetings in the onset and throughout the project. This input prompted us to develop a staff guide outlining the modification process of removing a staff name from an IRB trial if they are no longer active in the trial. A workflow and root cause analysis were done resulting in the implementation of one gatekeeper for assigning and tracking completions, instead of three staff. Successfully reconciling the non-compliant report, which extracted data from three databases, allowed us to eliminate 174 names from the report, which originally comprised 792 names. IRB modifications were entered into the IRB system for these 174 names. We also put into effect a GCP policy for the institution, where none had previously existed. RESULTS/ANTICIPATED RESULTS: * In 3.5 months, we decreased the GCP non-compliance rate by 50% from 792 to 399. * We removed 22% of names from the 792 from the report due to their status of being non-employees, or Emeritus, or not in research anymore. * We discovered a data type issue in the non-compliance report that shuffled the MAX calculation, therefore not requiring some staff to complete the training. * We developed a new process for assigning training, resulting in faster compliance rates for the institution. It included sending emails to users two months before their training expired before we assigned the course to them. * We reconciled the non-compliance report, and it decreased the effort with staff involved in GCP for grant renewals and audits in numerous other departments. * Developed an escalation procedure for non-compliant staff. DISCUSSION/SIGNIFICANCE: Failure to address our GCP non-compliance rates could have put our institution at risk for potential penalties. With 4400+ research personnel listed on active trials the interventions we implemented accelerated our compliance rate by assigning the refresher course monthly and this also resulted in no disruption to staff completing the training.

OBJECTIVES/GOALS: There is a scarcity of research examining the views of Black and Latine HIV care consumers on healthcare experiences that influence medical mistrust. The present qualitative study aims to bridge the existing gaps in the literature pertaining to the experiences of Black and Latine HIV care consumers. METHODS/STUDY POPULATION: We conducted 21 semi-structured interviews with Black and Latine HIV care consumers from November to December 2021 to explore perceptions of provider behaviors that increase or decrease HIV care consumers’ trust and mistrust, experiences of stigma, and behaviors and responses when experiencing medical mistrust. Conventional content analysis was conducted to derive meaning from the narratives shared by participants. RESULTS/ANTICIPATED RESULTS: Provider behaviors that increase HIV care consumers’ mistrust include lack of person-centered care, lack of partnership in health decision making, perceived provider incompetence, lack of adequate follow-up to care, and lack of trustworthiness of providers and organizations. Perceived experiences of intersectional stigma in healthcare included feeling judged and discriminated against by healthcare providers regarding HIV status and observing differential care outcomes and delayed care delivery by race and ethnicity. DISCUSSION/SIGNIFICANCE: Findings can inform the development of provider-level interventions to address medical mistrust.

OBJECTIVES/GOALS: With a growing intеrеst in tailoring disеasе diagnosis to еach individual as opposеd to a “onе-sizе-fits-all” approach, our aim is to еnhancе thе robustnеss of thе Itеrativе Clustеring for Subtypе Discovеry (iKCAT) algorithm in charactеrizing lung cancеr subtypеs for individualizеd trеatmеnt. METHODS/STUDY POPULATION: Our mеthod еxplorеs thе robustnеss of thе prеviously dеvеlopеd iKCAT algorithm. This itеrativе clustеring mеthod finds robust—homogеnеous and diffеrеntiablе—subtypеs of lung nodulеs through itеrativе K-mеans clustеring that hеlps classify thеm and lеavеs somе data unclustеrеd. This sеt of unclustеrеd or “hard” data rеprеsеnts imagеs that cannot confidеntly bе assignеd to any subtypеs and may rеquirе morе rеsourcеs (е.g., timе or radiologists) to diagnosе. Wе еxplorе thе robustnеss of iKCAT across multiplе fеaturе spacеs, including dеsignеd imagе fеaturеs (which arе еnginееrеd to capturе somе propеrtiеs such as lеvеl of еlongation, еccеntricity and circularity), rеducеd dеsignеd imagе fеaturеs using Principal Componеnt Analysis (PCA) and Uniform Manifold Approximation and Projеction (UMAP). RESULTS/ANTICIPATED RESULTS: Whеn running our еxpеrimеnt on thе 64 imagе fеaturеs, our rеsults consistеntly carvеd out a singlе purе, homogеnеous clustеr ovеr thе coursе of 30 iKCAT runs. From an initial datasеt of 1490 data points, 1430 points wеrе lеft unclustеrеd in this fеaturе spacе. Whеn conducting thе 30 iKCAT runs on thе PCA fеaturе spacе with 10 componеnts, wе found it did not producе any distinct clustеr abovе thе dеfinеd homogеnеity thrеshold. Thе 2D UMAP fеaturе spacе consistеntly gеnеratеd 8 clustеrs with an avеragе homogеnеity of 87. 22% ovеr 30 runs, and only lеft 9 points unclustеrеd. Ovеr 30 iKCAT runs, wе idеntifiеd 8 pеrsistеnt clustеrs or subtypеs, 3 mostly malignant and 5 mostly bеnign clustеrs. DISCUSSION/SIGNIFICANCE: Through our еxpеrimеnt using thе iKCAT algorithm, wе found that iKCAT’s clustеring functionality producеd thе most pеrsistеnt rеsults on thе 2D UMAP fеaturе spacе duе to its high avеragе homogеnеity scorеs and consistеncy in idеntifying clustеrs/subtypеs, hеlping improvе tailorеd disеasе diagnosis.

OBJECTIVES/GOALS: To describe the creation, use and outcome of a successful multi-session case study for team science education and training. Creating a case study that spans multiple sessions can aid in emphasizing many team science concepts using one ongoing scenario. METHODS/STUDY POPULATION: We will describe the creation and use of a multi-session case study used in a team science graduate course. This case study incorporates the interpretation and use of assessments that coincide with concepts presented in each session. Participants engage with the case study as a team. The use of this case study allows participants to draw conclusions and make decisions about team interventions using concepts they’ve just learned. The multi-session case study also allows participants to see the outcome of their decisions in the next session. Further, the continuous nature of this case study allows participants to build on their knowledge from session to session and make connections between concepts. RESULTS/ANTICIPATED RESULTS: Incorporating a multi-session case study should help participants better understand team science concepts and practice incorporating the use of those concepts into teams in a more realistic way over time. The case study framework has been used in a team science graduate course for the last two years. The teaching team has incorporated continuous improvement into optimizing the case study over time. We’ll share preliminary results collected over the use of the case study so far along with the improvements made over time. DISCUSSION/SIGNIFICANCE: This education framework is very versatile and can be incorporated into a team science course or series of workshops and provides a real-world situation that allows participants to practice incorporating team science concepts and interventions in a team.

OBJECTIVES/GOALS: Our aims are to 1) describe changes in thumb Carpometacarpal (CMC1) joint stability following an 8-week clinic-based dynamic stability exercise program using computerized tomography (CAT) and 2) to evaluate the agreement between ultrasound and CAT (reference standard) when quantifying thumb CMC stability. METHODS/STUDY POPULATION: Aim 1: We have enrolled 13/49 participants in a prospective pre-post interventional study of an 8-week clinic-based occupational therapy dynamic stability program. The primary outcome will be change in stability (thumb metacarpal subluxation in mm) when forcefully loading the thumb as per CAT from pre-treatment to post-treatment at 9 weeks. Aim 2: Same 49 participants are undergoing a one-time ultrasound during baseline assessment. Agreement of ultrasound and CAT measurements (thumb metacarpal subluxation in mm) will be assessed by the Bland-Altman method. RESULTS/ANTICIPATED RESULTS: Exercise is a first-line treatment of CMC1 OA yet there is insufficient evidence to support this. Progression of CMC1 OA is characterized by altered joint mechanics. Joint replacement surgery may reduce pain but often worsens thumb mechanics and overall hand function. This study is the first to test the sustained biomechanical effects of non-invasive thumb exercises. Should these benefits exist, this will further support exercise as a first-tier intervention. Should ultrasound be a suitable proxy for CAT, therapists/physicians could monitor thumb CMC mechanics in response to treatment without risk of radiation exposure. We anticipate 1) a statistically significant reduction in thumb CMC subluxation at 9 weeks follow up and 2) high agreement between sonographic and CAT measures of thumb stability. DISCUSSION/SIGNIFICANCE: This study will lay the foundation for future work and may offer critical support for the use of a non-pharmacological and non-surgical approach as first-line treatment of a highly disabling disease. Future study should include controlled trials where hand function, activity limitation, disease progression, and costs are the outcomes in interest.

OBJECTIVES/GOALS: The aim of thispaper is to raise awareness of the limitations of the current pMRI training paradigm and to recommend a standardization of skills to expand diversity among field-based neuroimaging technicians. METHODS/STUDY POPULATION: Currently, there are seven international brain research initiatives. The goal is to establish and understand the cultural values a society holds and how the outcomes of research may be adopted into societal practice. We must also consider the benefits of early detection amongst minoritized communities in neuroscience research. Neuroimaging in remote settings can allow patients to advocate more accurately for timely medical care which can lead to better health outcomes. According to the Journal of Neurological Sciences, neuroscience accounts for 9% of total medical publications. RESULTS/ANTICIPATED RESULTS: Neuroimaging research continues to evolve in terms of resolution and portability. T By harnessing diverse data, we are able to utilize advanced neuroimaging techniques and software technology to recognize trends amongst subgroups of individuals who were previously considered geographically inaccessible. DISCUSSION/SIGNIFICANCE: Despite the excitement and promise of portable neuroimaging devices, there is a fundamental need to establish standardized training procedures that can be accessed by individuals of all socioeconomic backgrounds.

OBJECTIVES/GOALS: Characterizing and analyzing research studies presents several challenges given the various ways studies may be labeled or organized. The Medical Subject Headings (MeSH) thesaurus is a hierarchical vocabulary that can index and organize research foci using common business intelligence tools to enable rapid exploration of research portfolios. METHODS/STUDY POPULATION: Metadata from ClinicalTrials.gov on 455,437 trials were downloaded and all MeSH terms associated with trials in the condition_browse section were loaded into a database. The corresponding MeSH trees for each term were then identified and mapped to their ancestor terms within the tree. Trials were then indexed based on top four hierarchical levels for each associated MeSH term. Trials performed at the University of Miami (UM) were identified based on locations associated with the trial as well as matching National Clinical Trial (NCT) numbers identified from internal research administration systems. Business intelligence software (Microsoft PowerBI) was applied to the corresponding dataset to enable end user exploration and analysis of the trials within ClinicalTrials.gov. RESULTS/ANTICIPATED RESULTS: A total of 3,271 studies associated with UM were identified, of which, 3,054 (93.3%) had at least one condition MeSH term linked. A total of 7,711 MeSH terms were associated with the trials overall, representing 1,112 unique MeSH terms; the most common terms were carcinoma (164), lymphoma (155), HIV Infections (139), neoplasms (136), and leukemia (122). Utilizing MeSH hierarchy, trials were characterized were categorized into 36 different trees. The most common top tree nodes were neoplasms (1,181), followed by pathological conditions/signs and symptoms (913), immune system diseases (574), nervous system diseases (513), and digestive system diseases (483). Within trees, a total of 184, 681, and 1057 different MeSH terms were specified at the second, third, and fourth nodes in the hierarchy respectively. DISCUSSION/SIGNIFICANCE: Utilizing existing metadata from trials posted on ClinicalTrials.gov and MeSH tree structures can enable organizations to readily explore the foci of clinical trials research. High rates of MeSH term association to research study conditions are necessary to ensure adequate representation of research foci.