OBJECTIVES/SPECIFIC AIMS: MicroRNAs are small, non-coding RNAs that control gene expression by inhibiting protein translation. Preclinical studies in rodent stroke models suggest that changes in microRNA expression contribute to neural repair mechanisms. To our knowledge, no one has previously assessed microRNA changes during the recovery phase of human stroke. Our goal was to determine whether patients with significant upper limb recovery following stroke have alteration of neural repair-related microRNA expression when compared to those with poor recovery. METHODS/STUDY POPULATION: Plasma was collected at 19 days post-stroke from 27 participants with mild-moderate upper extremity impairment enrolled in the Critical Periods After Stroke Study. MicroRNA expression was assessed using TaqMan microRNA assays (Thermo Fisher Scientific). Good recovery was defined as ≥6 point change in the Action Research Arm Test (ARAT) score from baseline to 6 months. Bioinformatics analysis compared the plasma microRNA expression profiles of participants with good Versus poor recovery. Candidate biomarkers were identified after correcting for multiple comparisons using a false discovery rate <0.05. RESULTS/ANTICIPATED RESULTS: Eleven microRNAs had significantly altered expression in the good (n=22) Versus poor (n=5) recovery groups, with 2 showing increased expression—miR-371-3p and miR-520g, and 9 showing decreased expression—miR-449b, miR-519b, miR-581, miR-616, miR-892b, miR-941, miR-1179, miR-1292, and miR1296. Three of these could be implicated in neural repair mechanisms. Elevated miR-371-3p levels increase the likelihood that pluripotent stem cells will differentiate into neural progenitors. MiR-892b decreases levels of amyloid precursor protein, which has been implicated as a regulator of synapse formation. Finally miR-941, the only known human-specific microRNA, downregulates the CSPα protein which is involved in neurotransmitter release. DISCUSSION/SIGNIFICANCE OF IMPACT: This preliminary study suggests that circulating microRNAs in the plasma may help serve as biomarkers of neural repair and aid in understanding human neural repair mechanisms. If validated in larger studies with appropriate controls, these markers could aid in timing rehabilitation therapy or designing recovery-based therapeutics.

ABSTRACT IMPACT: Improve healthcare of patients with Cystic Fibrosis by reducing the time needed to generate results. OBJECTIVES/GOALS: We developed an automated framework capable of segmenting the lungs, extract the airways, and create a skeletonize map of the airways from CT scans of Cystic Fibrosis patients. As future expansion, the framework will be expanded to measure the airways diameters, detect the abnormal airways, and count the number of visible airways generations. METHODS/STUDY POPULATION: For this study, 35 CT scans from CF patients with different levels of severity were used to test the developed framework. The lungs segmentation was performed using an algorithm based on Gaussian Mixture Models for mild cases, and for severe cases a technique that uses convex hull and the recurrent addition of ‘dots’ was implemented. The airways extraction was performed using a 26-points connected components algorithm in conjunction with a curve fitting technique over the histogram of voxel values. Medial axis transform was used to perform the skeletonization of the extracted airways, and airways diameters determined via ray-casting. RESULTS/ANTICIPATED RESULTS: The framework was able to correctly obtain the segmented lungs in all 35 sample volumes regardless of disease severity. In contrast, it tends to fail to skeletonize the airways for severe cases where the framework is unable to differentiate between abnormal lungs conditions and dilated airways. Fine tuning is required to achieve better results. The expected result of the future implemented sections of the framework are focused to characterize the extracted airways by: 1) measuring the airways diameters; 2) detect and count the number of abnormal airways sizes; and 3) count the number of visible airways branching which will permit determination of stage and grade of the lungs of CF patients. DISCUSSION/SIGNIFICANCE OF FINDINGS: The proposed framework allows a fast and reproducible way to segment the lungs and create a skeletonized map of the airways that are independent of clinical training. In addition, this framework will be extended to obtain measurements of airway dilation and branching level, which could provide a deeper insight of the airways in CF patients.

OBJECTIVES/GOALS: Our objective was to evaluate the FLEX Leadership Development Program for School of Medicine Women Faculty affiliated with 4 independent hospital systems throughout Northern Ohio to determine whether women faculty develop leader self and means efficacy. We also examined whether self-efficacy is sustained over time following program completion. METHODS/STUDY POPULATION: We did a prospective multiple cohort study to determine whether FLEX Program graduates develop and sustain leader self and means efficacy as measured by the Leader Efficacy Questionnaire (LEQ) (Hannah & Avolio, 2012). The LEQ assesses both leader confidence in their capabilities (self-efficacy) and the availability of sufficient external resources (means efficacy) to achieve their goals. We surveyed participants from 5 FLEX cohorts (2017-2021) using a pre-, post-, and 1-year follow-up LEQ, which allowed each participant to act as their own control subject, pre-test, and experimental post-test. The follow-up tested whether the change from pre- to post-test was sustained over time. The comparison group was non-participant women faculty from the same institutions over a similar 2-year period. RESULTS/ANTICIPATED RESULTS: Diverse FLEX graduates from 5 different cohorts showed highly significant increases in pre- to post-program leader self-efficacy which were sustained up to one year after program completion. Overall leader efficacy as well as its three component sub-constructs (action-, means- and self-regulation- efficacy) all significantly increased equally, suggesting both that the FLEX program had robust effects on its participants, and all aspects of leader efficacy improved. We observed a mildly significant decrease at 1-year follow-up in the overall LEQ, which appeared to be driven entirely by the leader means efficacy. The large comparison group of women faculty did not show any significant changes in leader self-efficacy over a comparable 2-year period. DISCUSSION/SIGNIFICANCE: FLEX confers sustainable gains in leader self-efficacy. Post-program self-efficacy decreases are driven by the leader means efficacy which measures how work environments affect their leadership. This suggests that institutions must take responsibility for making structural changes to improve the working environment for women leaders.

OBJECTIVES/SPECIFIC AIMS: Metachromatic leukodystrophy (MLD) is a rare, lysosomal storage disorder caused by decreased enzymatic activity of arylsulfatase A. This can be the result of mutations in the ASA gene, or in rare cases PSAP. Historically, MLD has been subdivided into 3 forms based on age of onset: late infantile, juvenile, and adult. These subtypes were defined decades ago, prior to the appreciation of the full clinical spectrum of this lysosomal storage disorder and the advent of genetic testing. As a consequence, these empiric age-based historical definitions do not fully account for the spectrum of disease and are not founded in evidence-based analysis of phenotypic cohorts. Additionally, the antiquated definitions do not fully predict presenting features or disease course, and they fail to stratify outcomes in the few therapies currently available to treat this disease. As novel targeted therapeutics are developed, it is essential to have a clear understanding of the clinical presentation and natural history of MLD. Without properly defined sub-populations, it is difficult to design a therapeutic clinical trial that can demonstrate efficacy in a heterogeneous group. METHODS/STUDY POPULATION: In this project, we collected the retrospective natural history of over 50 individuals from around the world. We created an electronic database in REDCap to able to longitudinally collect clinical information. Using this retrospective natural history approach to understanding the disease course of individuals affected by MLD, we were able to characterize age of onset, delay to diagnosis, and common presenting features. RESULTS/ANTICIPATED RESULTS: Our results suggest distinct clinical phenotypic subgroups, with distinct presentations. DISCUSSION/SIGNIFICANCE OF IMPACT: With a better understanding of the natural history of MLD, we will be able to better counsel families and to design clinical trials with more coherent cohorts and more appropriate clinical endpoints.

OBJECTIVES/GOALS: The goal of this study is to develop a multi-centered Translational Studio model that can help in the development of quality translational studies using resources from four different institutional partners (University of Texas Medical Branch, Texas Southern University, University of Houston Clear Lake and Houston Methodist). METHODS/STUDY POPULATION: We conducted two rounds of four Futures Workshops for a total participation of 28 stakeholders from four different partners. Future Workshops were used to critique, envision, and articulate novel “futures” that can be achieved at least partly through design practices (Muller, 2002). In the first round of workshops, we asked participants about their institutions’ strengths, weaknesses, resources and investigator needs regarding the Studio. In the second round we asked about different studio models, pros and cons of each model and guiding principles for a studio. Alongside a pragmatic content analysis, multi-stage deductive and inductive qualitative analyses were used to understand people’s views on the future of a multi-institutional Clinical Trials Studio. RESULTS/ANTICIPATED RESULTS: The first-round workshops’ analysis described peoples’ goals for what the studio should be. The future desired studio was described as guide, matchmaker, initiator and advocate. The second-round workshops’ analysis discussed the pros and cons of a variety of possible models including, centralized, decentralized, and topic-specific (and allowed other suggestions) while also describing principles for the guidance of a studio. Here the analysis showed people wanted certain characteristics for the studio (i.e. effective, efficient, locally-responsive, consistent, etc.). They also prescribed four principles that a studio should be guided by: non-hierarchical partnership, user-centeredness, respect/collegiality, and sharing. DISCUSSION/SIGNIFICANCE: The future workshops were useful in developing a shared multi-institutional Clinical Trials Studio model that is planned to be deployed in 2025. Participants valued a studio that was both directly supportive to participants and played a role in creating or advocating for institutional resources and policy for research.

OBJECTIVES/GOALS: Recent studies have assessed the association between surgery with general anesthesia and cognitive decline in longitudinal cohorts of older adults. Patients diagnosed with dementia more frequently drop out of these longitudinal studies or are unable to complete the test battery. We revisit this aim with focus on methods for informative dropout. METHODS/STUDY POPULATION: We use data from the Mayo Clinic Study of Aging (MCSA), a longitudinal epidemiological study of the prevalence, incidence, and risk factors for mild cognitive impairment (MCI) and dementia. Our primary outcome of interest was global cognitive z-score, assessed at study visits every 15 months. We implement linear mixed effects models to assess the association between post-enrollment exposure to surgery/anesthesia and subsequent cognitive decline trajectories. Demented patients more frequently drop out of MCSA, so, subjects with the worst cognitive outcomes are unobserved and missing data may be informative. Since this missingness may be missing not at random, we use shared parameter models to analyze continuous cognitive outcomes while jointly modeling time to dementia. RESULTS/ANTICIPATED RESULTS: A total 1948 subjects, non-demented at baseline, from the MCSA were included. Median age was 79, 51% of subjects were male, and 16% had MCI at enrollment. Among median follow-up of 4 study visits over median 5.4 years, 172 patients developed dementia and dropped out from further assessments of cognitive function. In adjusted linear mixed effects models, our data suggest post-enrollment exposure to surgery/anesthesia is associated with a decline in cognitive function over time (change in slope = −0.07 standard deviations of cognitive z-score per year, 95%CI = −0.08, −0.05, p<.001). After adjusting for informative dropout using shared parameter models, surgery/anesthesia is associated with greater cognitive decline (change in slope = −0.14 per year, 95%CI = −0.16, −0.12, p<.001). DISCUSSION/SIGNIFICANCE OF IMPACT: We revisited a prior analysis by our group with consideration of informative dropout. Subjects who dropout due to dementia may have different trajectories of cognitive decline compared to non-demented subjects. Shared parameter models estimate the association between surgery/anesthesia and cognitive decline accounting for informative dropout.

OBJECTIVES/GOALS: To determine if decellularized costal cartilage (DCC), which could theoretically be obtained “off the shelf,” would provide similar results to autologous cartilage grafts previously studied in this lab, thereby widening the application of our novel nipple engineering approach to all patients undergoing nipple reconstruction. METHODS/STUDY POPULATION: PLA scaffolds (diameter: 1.0 cm, height: 1.0 cm) were printed using a PRUSA 3D printer and sterilized. Lamb costal cartilage was minced (1 mm3) or zested (<0.2 mm3) and then decellularized. The quality of decellularization was assessed using DNA quantification and histological analysis. DCC was then packed into PLA scaffolds and implanted subcutaneously into immunocompetent Sprague Dawley rats using a CV flap technique. The constructs were explanted and evaluated up to 6 months after implantation. RESULTS/ANTICIPATED RESULTS: All nipple reconstructions showed well-preserved diameter and projection due to persistence of the external scaffolds at 1, 3, and 6 months. Mass and volume of engineered tissue was well-preserved over all timepoints. Compared to implantation values, engineered zested nipples demonstrated a 12% mass increase and a 22% volume increase at 6 months. Minced nipples illustrated a similar mass and volume gain with a 21% increase in mass and a 13% increase in volume at 6 months secondary to infiltration of fibrovascular tissue and growth through scaffold wall pores, respectively. Histologic analysis demonstrated a mild inflammatory infiltrate 1 month after implantation which was replaced by fibrovascular tissue by 3 months that remained stable through 6 months. The processed DCC structure remained unchanged over time. DISCUSSION/SIGNIFICANCE: Using acellular ovine xenograft within bioabsorbable scaffolds, we have engineered neonipples that maintain their volume for at least 6 months. DCC architecture is well-preserved with minimal evidence of immune-mediated degradation. By using DCC, this novel approach to nipple engineering may be applied to any patient requiring reconstruction.

OBJECTIVES/GOALS: As hospitals across the nation respond to the need to address community violence, there is a dearth of Hospital-based Violence Intervention Programs (HVIPs) in the South despite having disproportionate rates. This research aims to identify key factors and strategies for implementation of an HVIP among rural patient populations in a southern state. METHODS/STUDY POPULATION: Semi-structured interviews will be conducted with medical providers, social service organizations, and patients transferred from four high-risk rural areas in Arkansas. Data will be analyzed using Framework Analysis, a rapid analysis approach involving framework development, code application, impactful statement identification, and content analysis. Evidence- Based Quality Improvement (EBQI), a group consensus making process, will be conducted to identify key implementation strategies and factors to adapt based interview findings. Priority areas for adaptation will be identified via systematic rating. The EBQI team, including researchers and key rural stakeholders will engage in a series of discussion, vote on final strategies, and develop a guide for future HVIP implementation and pilot testing. RESULTS/ANTICIPATED RESULTS: Findings from this study will result in a prioritized list of barriers and facilitators across sample groups. Factors will be rated by level of importance. Cluster maps will display the relationships among factors. Go and no-go zones will be identified based on importance and feasibility. Implementation strategies will be mapped to barriers and facilitators. DISCUSSION/SIGNIFICANCE: The findings will result in a culturally and geographically relevant HVIP model and package of implementation strategies to test in future hybrid trials (feasibility pilot & multi-site RCT); and shape the future of violence prevention efforts in healthcare settings across the rural South.

OBJECTIVES/GOALS: Febrile infants are a model population for exploring communication, implicit bias, and health disparities in the pediatric emergency department. Using mixed methods, we performed an in-depth analysis of disparities and physician-parent communication, a potentially modifiable driver of inequities. METHODS/STUDY POPULATION: We performed a multicenter cross-sectional study of febrile infants with low-risk for invasive bacterial infection evaluated between 2018-19 across 32 institutions. We performed logistic regression to assess the association between 1) race and ethnicity (Non-Hispanic White [NHW], Non-Hispanic Black [NHB], Hispanic [H], Other Race and/or Ethnicity [O]) and 2) limited English proficiency (LEP) with the standard of care, discharge without lumbar puncture and without antibiotics. We concurrently performed in-depth semi-structured interviews with physicians to explore physician–parent communication and implicit bias in the management decisions for febrile infants. RESULTS/ANTICIPATED RESULTS: Of 3629 low-risk febrile infants, 74.2% received standard of care. NHB, compared to NHW, infants were more likely to receive standard of care (aOR 1.3 [95% CI 1.0-1.7]; aOR H: 1.1 [95% CI 0.9-1.4]; aOR O: 1.0 [95%CI 0.8-1.4]). There was no association between LEP and standard of care (aOR 0.8 [0.61–1.1]). When accounting for documented use of professional interpretation, families with LEP without documented professional interpretation were less likely than families without LEP to receive standard of care (aOR 0.6 [95% CI 0.4–0.9]). Thematic analysis of 13 physician interviews is expected to elucidate aspects of the physician-parent interaction that influence management decisions. DISCUSSION/SIGNIFICANCE: Infant race, ethnicity, and use of professional interpretation, are associated with the management of low-risk febrile infants. Physician behaviors that are influenced by the physician-parent interaction may represent modifiable targets for future interventions to promote health equity.

OBJECTIVES/GOALS: We compared the validity of an International Classification of Diseases, Clinical Modification (ICD) algorithm for identifying high-grade cervical intraepithelial neoplasia and adenocarcinoma in situ (together referred to as CIN2+) from ICD 9th revision (ICD-9) and 10th revision (ICD-10) codes. METHODS/STUDY POPULATION: Using Tennessee Medicaid data, we identified cervical diagnostic procedures in 2008-2017 among females aged 18-39 years in Davidson County, TN. Gold-standard cases were pathology-confirmed CIN2+ diagnoses validated by HPV-IMPACT, a population-based surveillance project in catchment areas of five US states. Procedures in the ICD transition year (2015) were excluded to account for implementation lag. We pre-grouped diagnosis and procedure codes by theme. We performed feature selection using least absolute shrinkage and selection operator (LASSO) logistic regression with 10-fold cross validation and validated models by ICD-9 era (2008-2014, N = 6594) and ICD-10 era (2016-2017, N = 1270). RESULTS/ANTICIPATED RESULTS: Of 7864 cervical diagnostic procedures, 880 (11%) were true CIN2+ cases. LASSO logistic regression selected the strongest features of case status: Having codes for a CIN2+ tissue diagnosis, non-specific CIN tissue diagnosis, high-grade squamous intraepithelial lesion, receiving a cervical treatment procedure, and receiving a cervical/vaginal biopsy. Features of non-case status were codes for a CIN1 tissue diagnosis, Pap test, and HPV DNA test. The ICD-9 vs ICD-10 algorithms predicted case status with 68% vs 63% sensitivity, 95% vs 94% specificity, 63% vs 64% positive predictive value, 96% vs 94% negative predictive value, 92% vs 89% accuracy, and C-indices of 0.95 vs 0.92, respectively. DISCUSSION/SIGNIFICANCE OF IMPACT: Overall, the algorithm’s validity for identifying CIN2+ case status was similar between coding versions. ICD-9 had slightly better discriminative ability. Results support a prior study concluding that ICD-10 implementation has not substantially improved the quality of administrative data from ICD-9.

OBJECTIVES/SPECIFIC AIMS: To examine the relationship between healthy eating, physical activity (PA), sleep problem and hours of sleep and cognitive function among elderly population and the racial/ethnic differences in this relation. METHODS/STUDY POPULATION: We analyzed data from National Health and Nutrition Examination Survey 2014-2016 for 882 population 60 years and older. Cognitive status was measured by the Digit Symbol Substitution (DSS) exercise score and the Consortium to Establish a Registry for Alzheimer’s Disease (CERAD) total score. Healthy eating index (HEI), PA, and sleep problem and hours of sleep were assessed by questionnaire. The association between cognitive function and HEI, PA, sleep problem and hours of sleep were assessed by linear regression after adjusting for age, gender, race/ethnicity, poverty level, lipid profile, fasting glucose level, alcohol, body mass index, stroke and education. Data were analyzed using Stata 14 considering design and sample weight and p<0.05 is statistically significant. RESULTS/ANTICIPATED RESULTS: CERAD total score was associated with HEI (Adjusted B = 0.07, 95% Confidence Interval (CI) = 0.01-0.13, p = 0.02) and not associated with physical activity or sleep problem or hours of sleep (p > 0.05). Animal fluency score was associated only with HEI (Adjusted B = 0.05, 95% CI = 0.01-0.09, p = 0.02). DDS score was not associated with HEI, PA, or sleep problem (p > 0.05) but associated with hours of sleep (p = 0.03). Stratified analysis by race/ethnicity showed that CERAD total score was associated with HEI only in White (Adjusted B = 0.08, 95% CI = 0.01-0.15, p = 0.02). DISCUSSION/SIGNIFICANCE OF IMPACT: CERAD total score was associated with HEI and not associated with PA or sleep problem. Promoting healthy eating is important for improving cognition in elderly population. Culturally sensitive and linguistically appropriate programs that involve community and care providers are needed to promote healthy eating for elderly population.

OBJECTIVES/GOALS: The Clinical Research Professionals (CRP) group was founded in 2000 by research managers at Cincinnati Children’s Hospital Medical Center (CCHMC) as an avenue to share research processes, ideas, successes, and community. The group has developed and evolved at CCHMC to meet the needs of CRP members. METHODS/STUDY POPULATION: CRP has evolved to meet the needs of the clinical research community at CCHMC. In 2008, monthly education meetings and a Research Educator supported a standardized onboarding process. CRP hosted the inaugural CRP Appreciation Day in 2010 to recognize researchers. The group established the CRP Leadership Committee (CRPLC) in 2011 and by 2016 expanded to include subcommittees. Career development opportunities include onsite clinical research certification exams and a centralized process for advancement. CRP updated processes and onboarding materials to electronic formats during the pandemic and now includes nursing, data management, and University of Cincinnati representation on the CRPLC. RESULTS/ANTICIPATED RESULTS: The culmination of 20+ years of CRP has led to the current state of CRP at CCHMC. CRP operates an internal website to collate all activities and resources, including educational opportunities and helpful links related to CCHMC research processes. CRP currently has leadership, membership, education, and regulatory committees providing opportunities for all clinical research professionals to join, collaborate, and grow within CCHMC and beyond. Established career pathways and centralized CRP advancement guidelines support career development. The centralized REDCap onboarding tool is accessible at any time for initial onboarding and then continuing education. DISCUSSION/SIGNIFICANCE: The formation and evolution of CRP, developed by work of past CRPs, has fostered an innovative community to meet clinical research needs through education, career development, and process standardization. We aim to continue to disseminate knowledge and lessons learned beyond our institutional walls.

OBJECTIVES/SPECIFIC AIMS: The purpose of the present secondary data analysis was to examine the effect of moderate-severe disturbed sleep before the start of radiation therapy (RT) on subsequent RT-induced pain. METHODS/STUDY POPULATION: Analyses were performed on 676 RT-naïve breast cancer patients (mean age 58, 100% female) scheduled to receive RT from a previously completed nationwide, multicenter, phase II randomized controlled trial examining the efficacy of oral curcumin on radiation dermatitis severity. The trial was conducted at 21 community oncology practices throughout the US affiliated with the University of Rochester Cancer Center NCI’s Community Oncology Research Program (URCC NCORP) Research Base. Sleep disturbance was assessed using a single item question from the modified MD Anderson Symptom Inventory (SI) on a 0–10 scale, with higher scores indicating greater sleep disturbance. Total subjective pain as well as the subdomains of pain (sensory, affective, and perceived) were assessed by the short-form McGill Pain Questionnaire. Pain at treatment site (pain-Tx) was also assessed using a single item question from the SI. These assessments were included for pre-RT (baseline) and post-RT. For the present analyses, patients were dichotomized into 2 groups: those who had moderate-severe disturbed sleep at baseline (score≥4 on the SI; n=101) Versus those who had mild or no disturbed sleep (control group; score=0–3 on the SI; n=575). RESULTS/ANTICIPATED RESULTS: Prior to the start of RT, breast cancer patients with moderate-severe disturbed sleep at baseline were younger, less likely to have had lumpectomy or partial mastectomy while more likely to have had total mastectomy and chemotherapy, more likely to be on sleep, anti-anxiety/depression, and prescription pain medications, and more likely to suffer from depression or anxiety disorder than the control group (all p’s≤0.02). Spearman rank correlations showed that changes in sleep disturbance from baseline to post-RT were significantly correlated with concurrent changes in total pain (r=0.38; p<0.001), sensory pain (r=0.35; p<0.001), affective pain (r=0.21; p<0.001), perceived pain intensity (r=0.37; p<0.001), and pain-Tx (r=0.35; p<0.001). In total, 92% of patients with moderate-severe disturbed sleep at baseline reported post-RT total pain compared with 79% of patients in the control group (p=0.006). Generalized linear estimating equations, after controlling for baseline pain and other covariates (baseline fatigue and distress, age, sleep medications, anti-anxiety/depression medications, prescription pain medications, and depression or anxiety disorder), showed that patients with moderate-severe disturbed sleep at baseline had significantly higher mean values of post-RT total pain (by 39%; p=0.033), post-RT sensory pain (by 41%; p=0.046), and post-RT affective pain (by 55%; p=0.035) than the control group. Perceived pain intensity (p=0.066) and pain-Tx (p=0.086) at post-RT were not significantly different between the 2 groups. DISCUSSION/SIGNIFICANCE OF IMPACT: These findings suggest that moderate-severe disturbed sleep prior to RT is an important predictor for worsening of pain at post-RT in breast cancer patients. There could be several plausible reasons for this. Sleep disturbance, such as sleep loss and sleep continuity disturbance, could result in impaired sleep related recovery and repair of tissue damage associated with cancer and its treatment; thus, resulting in the amplification of pain. Sleep disturbance may also reduce pain tolerance threshold through increased sensitization of the central nervous system. In addition, pain and sleep disturbance may share common neuroimmunological pathways. Sleep disturbance may modulate inflammation, which in turn may contribute to increased pain. Further research is needed to confirm these findings and whether interventions targeting sleep disturbance in early phase could be potential alternate approaches to reduce pain after RT.

OBJECTIVES/GOALS: We seek to develop an automated deep learning-based method for segmentation and volumetric quantification of the fetal brain on T2-weighted fetal MRIs. We will evaluate the performance of the algorithm by comparing it to gold standard manual segmentations. The method will be used to create a normative sample of brain volumes across gestational ages. METHODS/STUDY POPULATION: We will adapt a U-Net convolutional neural network architecture for fetal brain MRIs using 3D volumes. After re-sampling 2D fetal brain acquisitions to 3mm3 3D volumes using linear interpolation, the network will be trained to perform automated brain segmentation on 40 randomly-sampled, normal fetal brain MRI scans of singleton pregnancies. Training will be performed in 3 acquisition planes (axial, coronal, sagittal). Performance will be evaluated on 10 test MRIs (in 3 acquisition planes, 30 total test samples) using Dice scores, compared to radiologists’ manual segmentations. The algorithm’s performance on measuring total brain volume will also be evaluated. RESULTS/ANTICIPATED RESULTS: Based on the success of prior U-net architectures for volumetric segmentation tasks in medical imaging (e.g. Duong et al., 2019), we anticipate that the convolutional neural network will accurately provide segmentations and associated volumetry of fetal brains in fractions of a second. We anticipate median Dice scores greater than 0.8 across our test sample. Once validated, the method will retrospectively generate a normative database of over 1500 fetal brain volumes across gestational ages (18 weeks to 30 weeks) collected at our institution. DISCUSSION/SIGNIFICANCE OF IMPACT: Quantitative estimates of brain volume, and deviations from normative data, would be a major advancement in objective clinical assessments of fetal MRI. Such data can currently only be obtained through laborious manual segmentations; automated deep learning methods have the potential to reduce the time and cost of this process.

OBJECTIVES/GOALS: The objectives of this study are to: 1) Examine the feasibility of using concurrent multi-methodology to quantify the affective, decisional, physical symptom domains of Family Intensive Care Unit Syndrome. 2) Describe the associations between the Family Intensive Care Unit Syndrome symptom domains (affective, decisional, physical). METHODS/STUDY POPULATION: Using a repeated-measures, correlational design, we recruited surrogate decision makers of incapacitated, mechanically ventilated patients within four adult intensive care units at a tertiary medical center in northeast Ohio. We collected baseline data (T1) after obtaining informed consent and follow-up data three (T2) and seven (T3) days post-baseline. We used self-report instruments, behavioral tasks, and accelerometry to measure affective (anxiety & depression), decisional (working memory ability & decision fatigue), and physical (sleep quality & sleep disturbance), symptom domains. For objective 1, we computed completion percentages of each time-point and overall compliance with wearing the accelerometer device. For objective 2, we inspected Spearman correlations. RESULTS/ANTICIPATED RESULTS: We recruited and collected baseline data (T1) for 33 participants. Nineteen participants completed the T2 interview and twenty participants completed T3. Eight participants wore the accelerometer device for less than 72 hours and 15 wore the accelerometer for the full study period. At baseline, the physical symptoms (sleep quality & disturbance) were strongly correlated with the affective (anxiety & depression) symptoms, all of which were moderately correlated with one decisional symptom (decision fatigue). One cognitive symptom (working memory dysfunction), was weakly associated with the affective and physical symptom domains, and moderately correlated with the other cognitive symptom (decision fatigue) These associative trends were maintained within and between each time point. DISCUSSION/SIGNIFICANCE: This study identifies potential opportunities for examining the various symptom domains of Family Intensive Care Unit Syndrome. The associations between the domains are consistent with the extant literature, and highlights the need for supportive interventions that mitigate affective and physical symptoms that can compromise decision-making.

We assessed the rigor and reproducibility (R&R) activities of institutions funded by the National Center for Advancing Translational Sciences (NCTSA) through a survey and website search (N = 61). Of 50 institutional responses, 84% reported incorporating some form of R&R training, 68% reported devoted R&R training, 30% monitored R&R practices, and 10% incentivized them. Website searches revealed 9 (15%) freely available training curricula, and 7 (11%) institutional programs specifically created to enhance R&R. NCATS should formally integrate R&R principles into its translational science models and institutional requirements.