OBJECTIVES/GOALS: Patient-specific definition of extent of surgical excision is foundational to the safety offered by computer assisted interventions. Consequently, this study aims to develop a pipeline for automated segmentation of bone removed during cortical mastoidectomy, a technically complex otologic surgery. METHODS/STUDY POPULATION: A simulator, previously developed in our lab, allows fully immersive simulation of mastoidectomy using segmented temporal bones generated from CT data. Using the simulator, one attending surgeon will perform three trials of mastoidectomy on 20 different temporal bones. From the simulator we will obtain data on the volume of bone removed for a specific anatomy, averaged between trials. No new U-net (nnU-net), an open-source three-dimensional segmentation network, will then be trained to predict the volume of bone removed using segmented pre-operative CT imaging. Segmentation accuracy will be evaluated with the Dice coefficient, modified Hausdorff distance (mHD), sensitivity and specificity. RESULTS/ANTICIPATED RESULTS: We expect the mean pairwise Dice coefficient to be high indicating relative similarity of volume removed between trials. Moreover, we predict that following five-fold cross-validation the best model will result in a Dice coefficient, mHD, sensitivity, and specificity indicative of volume removed predictions consistent with surgeon-generated data. Finally, given that network training will penalize overlap of the predicted excised bone segment and previously segmented anatomic structures, we expect that no critical anatomical structures will be marked as tissue removed. DISCUSSION/SIGNIFICANCE: We hope to show that deep learning architectures can accurately predict bone removed during mastoidectomy. These predictions can be used for preoperative planning, as clinical endpoints in surgical simulators, or be used in conjunction with surgical robots, all ultimately improving patient safety.

Objectives/Goals: Research supports the use of music to improve the care and well-being of adults living with dementia; however, the practice and implementation of music in elder care communities is not regulated. The goal of this qualitative study was to survey elder care communities in Northeast Kansas to determine the use of music with people living with dementia. Methods/Study Population: We interviewed staff (n = 10) at five elder care communities in the Kansas City Metro area and observed musical activities and artifacts in shared living spaces within each community. Interview questions included details of the frequency and purpose of using music, who determined which music to use, and any effects, positive or negative, the interviewee believed to be associated with the use of music. Musical events, visiting musicians or music therapists leading group sing-alongs were observed at two communities, and music-related activities led by staff were observed at two others. Results/Anticipated Results: Music was used in some way at each of the five communities. Each location had recorded music available to residents in the shared living spaces, and most had a piano in the main lounge area. During the sing-along and music-related activities, residents were observed singing along to songs from memory, engaging with one another and the group leader and smiling. Staff employed by each community varied in their level of musical training and experience, from none to a full-time music therapist in residence. Staff interviewed said they believed music was helpful to aid memory recall, reduce anxiety, and to engage interest. Interestingly, a music therapist at one site also described how music during mealtimes created too much of a distraction for residents and interfered with dietary care. Discussion/Significance of Impact: It is clear from both the staff interviews and direct observations of musical activities that music is important to consider for people living with dementia in care communities. Guidelines for implementation and minimum standards would be helpful to ensure all care community residents can experience benefits highlighted by staff in this study.

OBJECTIVES/SPECIFIC AIMS: Research overview: Providing patient-centered care is increasingly a top priority in the U.S. healthcare system.1,2 Hospitals are required to publicly report patient-centered assessments, including results from the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) patient satisfaction surveys.3 Furthermore, clinician and hospital reimbursements are partially determined by performance on patient satisfaction measures.3 Consequently, hospitals and clinicians may be incentivized to improve patient satisfaction scores over other important outcomes.4 Paradoxically then, the pursuit of patient-centered care may lead clinicians to fulfill patient requests for unnecessary and potentially harmful treatments.5 Opioid prescribing during hospitalizations may be particularly affected by clinicians’ seeking to optimize patient satisfaction scores.6,7 Satisfaction with pain care is an important predictor of overall patient satisfaction in the HCAHPS surveys,8,9 and clinicians report increased pressure to fulfill patient requests for immediate pain-relief.10,11 Therefore, clinicians may prescribe opioids to avoid receiving lower patient satisfaction scores.12,13 Furthermore, clinicians lack clear guidance on opioid prescribing for some populations, including non-surgical inpatients, who represent almost half of all hospitalizations.14 To reduce clinicians’ incentive to prescribe opioids as a means of achieving patient satisfaction, the Center for Medicare and Medicaid Services (CMS) temporarily removed questions related to patient satisfaction with pain care from the clinician and hospital reimbursement formulas beginning in 2018.15 Importantly, prior research16-20 has not rigorously tested the hypothesis implied by the CMS policy change: that certain opioid prescribing practices in inpatient pain care are associated with higher patient satisfaction. Objectives: The purpose of this study was to evaluate the association between the receipt/dose of opioids during non-surgical hospitalizations and patient satisfaction measured by the HCAHPS survey. METHODS/STUDY POPULATION: Methods/Study Population: We conducted a pooled cross-sectional study of adults (18 and older) with non-surgical hospitalizations within the 11-hospital healthcare system in a Midwestern state from 2011-2016. Data were extracted from electronic health records and linked to HCAHPS patient satisfaction surveys. We estimated the propensity score for receipt of any opioids during hospitalization and separately the receipt of high dose opioids (≥100 morphine milligram equivalent [MME]) based on patient, encounter, and facility characteristics for all hospitalizations with complete data. We used nearest neighbor matching to construct two matched samples to minimize selection bias and confounding by indication. We used a standardized difference threshold of < 0.1 as an indication of the balance between matched groups. Outcomes were compared with a test on the equality of proportions using large-sample statistics. All analysis was performed in STATA 14.0 analytical software. Main outcomes: We analyzed four dependent variables. Two pain-specific patient satisfaction variables were derived from the responses to the following survey questions: 1) “During this hospital stay, how often your pain was well controlled? (pain control)” and 2) “During this hospital stay, how often did the hospital staff do everything they could to help you with your pain? (pain help)”, with 4-point Likert scale responses ranging from “Never” to “Always.” We also used two global satisfaction measures derived from the responses to the following survey questions: 1) “Using any number from 0 to 10, where 0 is the worst hospital possible and 10 is the best hospital possible, what number would you use to rate this hospital during your stay (overall patient satisfaction)?” and 2) “Would you recommend this hospital to your friends and family (willingness to recommend a hospital)? (4-point scale of “Definitely Yes” to “Definitely No”). Because the responses are not normally distributed, and the response options are truncated, we dichotomized each of these questions following previously published approaches8 and CMS methodology3 (e.g. “always” vs. all other responses or “9 or 10 rating” vs. all others). RESULTS/ANTICIPATED RESULTS: Results: Among 17,691 patients who reported that they needed pain medications during hospitalization in their HCAHPS survey, 43.7% (n=7,735) received opioids. Among the matched sample (n=8,848), 55% were female, 90% were white, 9% were black, 74% were emergency admissions, 29% had a circulatory diagnosis, 92% were discharged home, and the average pain score ranged from 0.2 to 7.1 during the hospital stay. Compared to matched patients hospitalized but did not receiving opioids, those who received opioids did not significantly differ in their rating of pain help (75% of patients without opioids rated that they always received help for their pain versus 75% of patients with opioids; p=.78), pain control (55% of patients without opioids reported that their pain was well controlled versus 54% on opioids; p=.93), willingness to recommend the hospital (69% of patients without opioids reported that they would definitely recommend a hospital versus 71% with opioids; p=.16) and overall rating of their care (47% of patients without opioids rated their hospitalization as 10 versus 46% on opioids; p=.22). DISCUSSION/SIGNIFICANCE OF IMPACT: Discussion: We found no evidence that receipt of opioids is associated with patient satisfaction, including at doses. To our knowledge, this is the first study that used propensity score matching to examine the association between inpatient opioid prescribing practices and patient satisfaction. Furthermore, our sample is unique in the inclusion of patients hospitalized for non-surgical indicators over a five year period in the multi-hospital healthcare system in a Midwestern state. Our findings add to the existing literature which has shown contradictory associations between opioid prescribing and patient satisfaction.16-22 Specifically, few studies that looked at surgical inpatients showed a lack of association between patient satisfaction16,18 and opioid prescribing, whereas others showed that receipt of opioids was associated with lower patient satisfaction.17-20 Our findings may imply that satisfaction with pain care may be achieved without administering opioids to non-surgical inpatients. Alternatively, satisfaction with pain care may not be influenced by opioid prescribing for non-surgical inpatients. Future research should further examine the association between opioid prescribing and patient satisfaction among non-surgical inpatients on a national scale to get a better understanding of the relationship between certain pain care practices and patient satisfaction.

OBJECTIVES/GOALS: An evidence-based approach for childhood obesity is family-based treatment (FBT). Research supports that motivation and income level may impact treatment success; however, the relationship between the two is understudied. Therefore, the objective of this study was to examine whether motivation for beginning FBT is associated with income levels. METHODS/STUDY POPULATION: 459 parent and child dyads from the PLAN (Pediatric, Learning, Activity, Nutrition) with Families multisite study were included in this study. PLAN consists of FBT through personalized health coaching over the course of two years, focusing on nutrition, physical activity, and parenting skills. Parent and child also attend height and weight assessments every 6 months in the study. Outcomes of the study include weight change and mastery of behavioral skills. Motivation and income level were provided by self-report at the beginning of the study. Motivation was based on a scale from 1-10 (1 = no motivation, 10 = high motivation). Income levels were grouped into one of three broader categories- low income ($80,000/year). RESULTS/ANTICIPATED RESULTS: The mean level of motivation for the parent was 8.76 and for the child was 7.87. There was a significant difference in the mean level of motivation for the child and parent, t = 7.73, p = < .001. Post-hoc multiple comparisons using Tukey’s HSD test indicated that children in the high-income group had lower levels of motivation (M = 7.29, SD = 2.07) compared to children in the middle (M = 8.18) and low (M = 8.70) income groups. Level of motivation did not differ for children in the middle and low-income groups. Finally, parent motivation level did not differ significantly by income group. While there were significant differences between parent and child motivation levels, the motivation remained high for both groups. DISCUSSION/SIGNIFICANCE OF IMPACT: The data suggests a significant difference in mean child motivation and income level. Child’s high motivation may be from the idea of participating in something new, a rare opportunity for low-income children. To improve the implementation and efficacy of FBT, further study into the relationship between motivation and income level should be done.

ABSTRACT IMPACT: Within three EDs in a regional health system in Connecticut, African American race, male gender, non-Hispanic ethnicity, lack of private insurance, and homelessness were associated with significant odds of being physically restrained during a visit. OBJECTIVES/GOALS: Agitated patient encounters in the Emergency Department (ED) are on the rise, and physical restraints are used to protect staff and prevent self-harm. However, these are associated with safety risks and potential stigmatization of vulnerable individuals. We aim to determine factors that are associated with odds of being restrained in the ED. METHODS/STUDY POPULATION: We conducted a retrospective cohort analysis of all patients (≥18 yo) placed in restraints during an ED visit to three hospitals within a large tertiary health system from Jan 2013-Aug 2018. We undertook descriptive analysis of the data and created a generalized linear mixed model with a binary logistic identity link to model restraint use and determine odds ratios for various clinically significant demographic factors. These include gender, race, ethnicity, insurance status, alcohol use, illicit drug use, and homelessness. Our model accounted for patients nested across the three EDs and also accounted for multiple patient visits. RESULTS/ANTICIPATED RESULTS: In 726,417 total ED visits, 7,090 (1%) had associated restraint orders. Restrained patients had an average age of 45, with 64% male, 54% Caucasian and 29% African American. 17% had private insurance, 36% endorsed illicit substances, 51.4% endorsed alcohol use and 2.3% were homeless. African Americans had statistically significant odds of being restrained compared to Caucasians with adjusted odds ratio (AOR) of 1.14 (1.08,1.21). Females (AOR 0.75 [0.71, 0.79] had lower odds of being restrained compared to males while patients with Medicaid (AOR 1.57 [1.46, 1.68]) and Medicare (AOR 1.70 [1.57, 1.85]) had increased odds compared to the privately insured. Illicit substance use (AOR 1.55 [1.46, 1.64]), alcohol use (AOR 1.13 [1.07, 1.20] and homelessness (AOR 1.35 [1.14, 1.16]) had increased odds of restraint use. DISCUSSION/SIGNIFICANCE OF FINDINGS: We showed statistically significant effects of patient demographics on odds of restraint use in the ED. The increased odds based on race, insurance status, and substance use highlight the potential effects of implicit bias on the decision to physically restrain patients and underscores the importance of objective assessments of these patients.

OBJECTIVES/GOALS: Current long bone fracture standard of care uses inert metal intramedullary nails (IMN), 10x stiffer than femur cortex. Consequent “stress-shielding” bone loss sees >5% of patients needing revision surgery. To improve nonunion healing, we develop automated design optimization methods for biodegradable Mg alloy IMNs to control local reloading. METHODS/STUDY POPULATION: Finite element analysis (FEA) is performed on 3D bone-IMN representations to establish this study’s baseline strain states for existing inert IMN geometries within QCT-informed femoral models under simulated biomechanical loading. FEA with Mg alloy properties for same IMN designs simulate transient IMN material loss through discrete time-step models with experimental in vivo Mg corrosion rates and strain-based bone density evolution using remodeling algorithms from literature. Transient stability and strength metrics, fracture zone stress profiles under gradual reloading and manufacturing constraints are formulated through gradient-based sensitivity analysis into a topology optimization framework (TOF) incorporating a reaction-diffusion degradation model to generate IMN topologies. RESULTS/ANTICIPATED RESULTS: TOF designs for Mg alloy IMNs with transient allowable strength constraints, using safety factors to prevent IMN failure, demonstrate higher compliance than standard inert IMNs with mechanical properties closer to native cortical bone. The biodegradation model within the TOF, informed by corrosion behavior from bone-IMN FEA study, predicts how potential design evolutions affect transient strain states of the system. Thus, local fracture region stress states are controlled by the algorithm optimizing for desirable transient stiffness profiles based on a minimum variance objective of fracture zone stress compared to a target bone stress profile. Optimized IMNs with porous, high surface area features achieve 50% decrease in IMN stiffness over 6 months recovery time and complete in vivo degradation in 24 months. DISCUSSION/SIGNIFICANCE: Our TOF reduces “stress-shielding” effects via design for controlled IMN biodegradation to gradually increase fracture zone loading, stimulating remodeling and reducing current risk of post-operative fracture and surgical removal in ~15k cases/yr. in the U.S. In vitro mechanical and in vivo clinical testing is required to validate design results.

OBJECTIVES/GOALS: Obesity is associated with increased incidence of breast cancer (BC), yet is not included in many lifetime-risk calculators. Obesity may impact breast cancer screening sensitivity. Retrospective studies show that bariatric surgery is associated with a lower risk of BC, but the effects of surgical weight loss on breast tissue are poorly understood. METHODS/STUDY POPULATION: We proposed a mixed-methods before and after study design to investigate the effects of surgical weight loss on breast tissue via pre- and post-weight loss breast tissue biopsies and imaging. In addition, we aimed to better understand barriers to BC screening for patients with obesity by conducting qualitative interviews. With institutional review board approval, we have begun recruiting 14 cisgender women who plan to undergo Roux-en-Y gastric bypass or sleeve gastrectomy. Participants must be at least 40 years old, with no prior history of breast biopsies or breast cancer and will undergo comprehensive breast cancer screening including mammography with quantitative density assessment, breast MRI, as well as breast core biopsies. RESULTS/ANTICIPATED RESULTS: We hypothesize that obesity and its associated metabolic changes lead to altered breast stroma, including increased inflammation, and tissue stiffness, with subsequent risk of carcinogenesis. If true, we expect to find obese women will have measurably increased inflammatory markers in their breast tissue, which are reduced after bariatric surgery. We expect that change in mammographic density may correlate with fibroglandular volume change on MRI; there are little data on change in background parenchymal enhancement in the setting of obesity and weight change and quantifying this will provide preliminary data for future work. Last, we expect that undergoing BC screening will be easier for patients after weight loss due to constraints of imaging equipment and potential bias in the screening process. DISCUSSION/SIGNIFICANCE: Screening for BC is paramount to improving outcomes yet people with obesity are screened less with worse outcomes. Studying the effects of weight loss on the breast may improve interpretation of breast imaging in the setting of obesity and identify markers of risk. Understanding barriers to screening may help us develop strategies to improve screening.

Background: The Comprehensive Post-Acute Stroke Services (COMPASS) Study is one of the first large pragmatic randomized-controlled clinical trials using comparative effectiveness research methods, funded by the Patient-Centered Outcomes Research Institute. In the COMPASS Study, we compare the effectiveness of a patient-centered, transitional care intervention versus usual care for stroke patients discharged home from acute care. Outcomes include stroke patient post-discharge functional status and caregiver strain 90 days after discharge, and hospital readmissions. A central tenet of Patient-Centered Outcomes Research Institute-funded research is stakeholder engagement throughout the research process. However, evidence on how to successfully implement a pragmatic trial that changes systems of care in combination with robust stakeholder engagement is limited. This combination is not without challenges. Methods: We present our approach for broad-based stakeholder engagement in the context of a pragmatic trial with the participation of patients, caregivers, community stakeholders, including the North Carolina Stroke Care Collaborative hospital network, and policy makers. To maximize stakeholder engagement throughout the COMPASS Study, we employed a conceptual model with the following components: (1) Patient and Other Stakeholder Identification and Selection; (2) Patient and Other Stakeholder Involvement Across the Spectrum of Research Activities; (3) Dedicated Resources for Patient and Other Stakeholder Involvement; (4) Support for Patient and Other Stakeholder Engagement Through Organizational Processes; (5) Communication with Patients and Other Stakeholders; (6) Transparent Involvement Processes; (7) Tracking of Engagement; and (8) Evaluation of Engagement. Conclusion: In this paper, we describe how each component of the model is being implemented and how this approach addresses existing gaps in the literature on strategies for engaging stakeholders in meaningful and useful ways when conducting pragmatic trials.

Despite the adversity presented by COVID-19 pandemic, it also pushed for experimenting with innovative strategies for community engagement. The Community Research Advisory Council (C-RAC) at Johns Hopkins University (JHU), is an initiative to promote community engagement in research. COVID-19 rendered it impossible for C-RAC to conduct its meetings all of which have historically been in person. We describe the experience of advancing the work of the C-RAC during COVID-19 using digital and virtual strategies. Since March 2020, C-RAC transitioned from in person to virtual meetings. The needs assessment was conducted among C-RAC members, and individualized solutions provided for a successful virtual engagement. The usual working schedule was altered to respond to COVID-19 and promote community engaged research. Attendance to C-RAC meetings before and after the transition to virtual operation increased from 69% to 76% among C-RAC members from the community. In addition, the C-RAC launched new initiatives and in eighteen months since January 2020, it conducted 50 highly rated research reviews for 20 research teams. The experience of the C-RAC demonstrates that when community needs are assessed and addressed, and technical support is provided, digital strategies can lead to greater community collaborations.

Multisector stakeholders, including, community-based organizations, health systems, researchers, policymakers, and commerce, increasingly seek to address health inequities that persist due to structural racism. They require accessible tools to visualize and quantify the prevalence of social drivers of health (SDOH) and correlate them with health to facilitate dialog and action. We developed and deployed a web-based data visualization platform to make health and SDOH data available to the community. We conducted interviews and focus groups among end users of the platform to establish needs and desired platform functionality. The platform displays curated SDOH and de-identified and aggregated local electronic health record data. The resulting Social, Environmental, and Equity Drivers (SEED) Health Atlas integrates SDOH data across multiple constructs, including socioeconomic status, environmental pollution, and built environment. Aggregated health prevalence data on multiple conditions can be visualized in interactive maps. Data can be visualized and downloaded without coding knowledge. Visualizations facilitate an understanding of community health priorities and local health inequities. SEED could facilitate future discussions on improving community health and health equity. SEED provides a promising tool that members of the community and researchers may use in their efforts to improve health equity.

ABSTRACT IMPACT: Olfactory dysfunction is a defining symptom of COVID-19 infection. As the number of total, confirmed COVID-19 cases approaches 7 million in the United States, it is estimated that there will be up to 500,000 new cases of chronically diminished smell. We offer a promising treatment. OBJECTIVES/GOALS: The primary aim is to explore the main effects and interaction of bimodal visual-olfactory training and patient-preferred scents on olfactory training in patients with post-COVID-19 hyposmia or anosmia. METHODS/STUDY POPULATION: The study will utilize a 2x2 factorial design. The two effects we will explore are unimodal versus bimodal training and conventional versus patient-preferred odors. All 4 arms will undergo 12 weeks of olfactory training. Participants will be assessed pre and post-intervention. Measurements of olfactory function include the objective smell identification test and subjective measures including the Clinical Global Impression Scale and Olfactory Dysfunction Outcomes Rating. Individuals eligible for the study include men and women between 18 and 70 years of age with olfactory dysfunction of at least 3 months duration initially diagnosed within 2 weeks of a COVID-19 infection. Of note, we will enroll nationally. RESULTS/ANTICIPATED RESULTS: We anticipate that the bimodal, patient-preferred scents training group will have the greatest improvement in smell scores, number of responders, and patient-reported sense of smell and health-related quality of life due to an additive interaction between the bimodal visual-olfactory and patient-preferred interventions. DISCUSSION/SIGNIFICANCE OF FINDINGS: The pathophysiology of COVID-19 olfactory dysfunction is mediated through damage to the peripheral and central olfactory pathways. This suggests that interventions most likely to be efficacious target both pathways, as olfactory training does.

OBJECTIVES/GOALS: To increase public awareness and access to research opportunities at the University of Minnesota (UMN) utilizing StudyFinder, a public-facing website that features actively enrolling UMN research studies and directly connects website visitors with study teams. METHODS/STUDY POPULATION: Promote the University of Minnesota CTSI’s StudyFinder website to the public via social media ad campaigns and community outreach. Upon completion of the latest StudyFinder enhancement project in 2021, CTSI focused 2022 efforts on marketing and promotion of the site. CTSI created three StudyFinder social media ad campaigns in January, June, and October. CTSI also planned outreach events during the week of Clinical Trials Day, the Minnesota State Fair (1.8M attendees over 12 days), and the UMN’s Urban Research and Outreach-Engagement Center Community Day. RESULTS/ANTICIPATED RESULTS: Website traffic data from Google Analytics indicated a 72.76% increase in StudyFinder sessions from 2021 (Jan 1, 2021 to Nov 1, 2021) to 2022 (Jan 1, 2022 to Nov 1, 2022), with 16,262 sessions to 28,094 sessions, respectively. Direct emails from potential participants to study teams increased 89% in that same timeframe, from 3,082 emails to 5,819 emails. Targeted marketing campaigns and attending community events can improve the visibility of an institution’s research and connections of potential research participants to research teams. DISCUSSION/SIGNIFICANCE: Recruitment remains a main challenge in clinical and translational research. StudyFinder is an important patient-facing tool to connect individuals to specific studies. Future directions include expanding marketing efforts, events, and public feedback.

OBJECTIVES/GOALS: The purpose of this 4-phase exploratory study is to create a human-centered protocol for a new program, CAPABLE-FAMILY, to address older adults with physical disability and dementia and their caregivers. METHODS/STUDY POPULATION: The Szanton-Gill Resilience Model, Verbrugge & Jett Disablement, and Life Span Theory of Control are theoretical frameworks guiding this study. Phase 1. Using qualitative research (n = 10 dyads) methods (ex. Photovoice) we seek to understand the context for older adults with dementia regarding disability. Phase 2. Using synthesis/ideation (n = 10 dyads) tools (ex. Journey Maps) we will synthesize the qualitative research during group ideation sessions with stakeholders. Phase 3. Using prototype testing (n = 3 dyads) methods (ex. Semantic Differentials, Storyboards), we will build the most promising prototypes. Phase 4. Using an open-label pilot (n = 3 dyads), we will test the interventions. RESULTS/ANTICIPATED RESULTS: We will assess disability (ADL, IADL), environmental changes pain, depression, polypharmacy, provider communication needs, and caregiver burden. We will interview the dyads and multiple CAPABLE Registered Nurses (RN), Occupational Therapists (OT), and Handymen (HM) about their prior experiences and perceptions of the pilot. CFQ, MocA, pain (BPI), and ZBI will be measured pre/post RN, OT, HM visit. While there are evidence-based programs to separately address cognitive impairment and physical disability, we anticipate this is the first study to develop a community-based goal-directed, human-centered approach for the maintenance of physical function for persons with dementia in the home. DISCUSSION/SIGNIFICANCE OF IMPACT: Persons with more cognitive impairment did not improve as much as those with less cognitive impairment in the original CAPABLE study, an evidenced based program which reduced disability. This suggests the need to adapt CAPABLE to reduce the burden of disability in persons with Alzheimer’s dementia. CONFLICT OF INTEREST DESCRIPTION: None

OBJECTIVES/GOALS: The SC CTSI Quality by Design (QbD) program aims to improve the execution of clinical research studies identifying and addressing possible issues before implementation. The program’s overall goal is to optimize operational design to achieve an 80% on-time completion rate. METHODS/STUDY POPULATION: Adapted from the Clinical Trials Transformation Initiative, our QbD program applies principles of quality management, project management, and team science to SC CTSI-funded studies. The process begins with a Design Studio for systematic review of critical-to-quality factors and a discussion of risks and mitigation plans. Studio attendees generally include the research team, SC CTSI faculty, and at least one community member. Outcomes include mitigation plans, a study project plan, and continued support from the project-tailored advisory board. We will iteratively evaluate satisfaction, quality improvement, and study completion rates. RESULTS/ANTICIPATED RESULTS: In an evaluation of the pilot phase, QbD participants responded that careful planning and expert input added value to their studies. The QbD process improved the quality of their studies, and all participants plan to apply QbD tools and resources to future studies. Beyond quality improvement, other anticipated outcomes include higher on-time study completion rates and uptake of QbD resources by other research teams. We also plan to assess the comparative benefit of QbD by study type. DISCUSSION/SIGNIFICANCE: Broader application of the CTSI QbD program has the potential for widespread benefit on research processes and outcomes. Studies implemented with minimal avoidable errors are more likely to complete on time, helping ensure efficient use of valuable resources and participant time.

OBJECTIVES/GOALS: LSD1 is a histone demethylase important in GBM regulation. Our goal is to design a therapeutic strategy for LSD1 inhibitors to meet clinical needs in GBM. Despite the abundance of LSD1 inhibitors, resistance emerges in GBM mouse models. We aim to understand the relevance of proliferative signaling pathways, such as MAPK, in LSD1 inhibitor resistance. METHODS/STUDY POPULATION: Following LSD1 knockdown in GBM cells, we determined differentially expressed genes using RNA-seq and gene set enrichment analysis (GSEA). Kinase signaling processes enriched for LSD1 expression were identified. Utilizing western blot, we assessed LSD1’s impact on MAPK signaling in patient-derived GBM stem cells (GSCs) and pediatric high-grade glioma cell models. Pharmacological evaluation of LSD1 involved five inhibitor candidates. Additionally, we explored LSD1 inhibition in combination with brain penetrant kinase inhibitors, osimertinib and ulixertinib, directed against the epidermal growth factor receptor (EGFR) and MAPK, respectively. The treatment combinations were assessed at multiple concentrations and analyzed using SynergyFinder. RESULTS/ANTICIPATED RESULTS: Pharmacological LSD1 inhibition after 24 hours induced increased phosphorylated ERK1/2 across multiple glioma cell lines. Concurrent LSD1 and EGFR/MAPK inhibition demonstrated improvedin vitro efficacy compared to individual agents. Notably, the combination of Iadademstat (ORY-1001) and osimertinib demonstrated the highest synergy score of 37.2 using the bliss synergy model in the GSC17s. Furthermore, 11 out of the 12 combination treatments tested had a synergistic relationship, with bliss synergy scores greater than 10. DISCUSSION/SIGNIFICANCE: Our study addresses the pressing need for novel therapeutic strategies in GBM. We leveraged pharmacological tools of LSD1 inhibition to determine how they could be used most effectively, revealing kinase inhibition as a promising strategy with demonstrated in vitro efficacy. Future efforts will focus on validating these findingsin vivo.

Objectives/Goals: Aged keratinocytes are less proliferative than adult, and aged skin heals more slowly. We examined the proliferation kinetics of aged and adult human keratinocytes. We then tested whether an extrinsic agent, sh-oligopeptide-72, can ameliorate these defects. Methods/Study Population: We used live cell imaging (LCI) to examine the proliferation kinetics of aged (73–92y) and adult (34–49y) passage zero human keratinocytes. We then incubated aged keratinocytes with a peptide, sh-oligopeptide-72 (purported to improve keratinocyte proliferation), or vehicle (PBS). Lineage trees of cell divisions were constructed to determine cell cycle duration and the proliferation/differentiation outcomes of each division. To assess wound healing, cells were isolated from 3 patients, 82–92y, and plated in 2-well culture dishes with inserts. Wells were treated with sh-oligopeptide-72 (100 ng/ml) or vehicle (PBS). At confluence, the insert was removed leaving a well-defined 500 μm gap. The time until 100% closure of the defect was obtained using LCI and the wound healing size tool. Results/Anticipated Results: There was no significant difference in the number of stem cell (SC) colonies between aged and adult keratinocytes. However, aged keratinocytes produced more aged committed progenitor (CP) colonies (P<0.0001). Adult CP, but not stem, colonies were significantly larger than aged (P = 0.0001), and this was associated with earlier terminal differentiation (P = 0.0005). Aged SC and CP colonies exhibited a higher proportion of differentiation divisions, and their cell cycle duration (CCD) was increased. Sh-oligopeptide-72 rescued the increased terminal differentiation as well as decreased the CCD in SC colonies. Sh-oligopeptide decreased the mean closure time of the wound assays (143h vs. 204h, P = 0.04). Discussion/Significance of Impact: Sh-oligopeptide-72 reversed many of the proliferation defects that develop in aged SC colonies. Wound assays show that this results in improved keratinocyte function. These results suggest that the age-related changes in growth dynamics can be modified in response to extrinsic signals in vitro.

ABSTRACT IMPACT: Despite its importance in systemic diseases such as diabetes, the eye is notably difficult to examine for non-specialists; this study introduces a fully automated approach for eye disease screening, coupling a deep learning algorithm with a robotically-aligned optical coherence tomography system to improve eye care in non-ophthalmology settings. OBJECTIVES/GOALS: This study aims to develop and test a deep learning (DL) method to classify images acquired from a robotically-aligned optical coherence tomography (OCT) system as normal vs. abnormal. The long-term goal of our study is to integrate artificial intelligence and robotic eye imaging to fully automate eye disease screening in diverse clinical settings. METHODS/STUDY POPULATION: Between August and October 2020, patients seen at the Duke Eye Center and healthy volunteers (age ≥18) were imaged with a custom, robotically-aligned OCT (RAOCT) system following routine eye exam. Using transfer learning, we adapted a preexisting convolutional neural network to train a DL algorithm to classify OCT images as normal vs. abnormal. The model was trained and validated on two publicly available OCT datasets and two of our own RAOCT volumes. For external testing, the top-performing model based on validation was applied to a representative averaged B-scan from each of the remaining RAOCT volumes. The model’s performance was evaluated against a reference standard of clinical diagnoses by retina specialists. Saliency maps were created to visualize the areas contributing most to the model predictions. RESULTS/ANTICIPATED RESULTS: The training and validation datasets included 87,697 OCT images, of which 59,743 were abnormal. The top-performing DL model had a training accuracy of 96% and a validation accuracy of 99%. For external testing, 43 eyes of 27 subjects were imaged with the robotically-aligned OCT system. Compared to clinical diagnoses, the model correctly labeled 18 out of 22 normal averaged B-scans and 18 out of 21 abnormal averaged B-scans. Overall, in the testing set, the model had an AUC for the detection of pathology of 0.92, an accuracy of 84%, a sensitivity of 86%, and a specificity of 82%. For the correctly predicted scans, saliency maps identified the areas contributing most to the DL algorithm’s predictions, which matched the regions of greatest clinical importance. DISCUSSION/SIGNIFICANCE OF FINDINGS: This is the first study to develop and apply a DL model to images acquired from a self-aligning OCT system, demonstrating the potential of integrating DL and robotic eye imaging to automate eye disease screening. We are working to translate this technology for use in emergency departments and primary care, where it will have the greatest impact.