The main goal of this paper is to construct universal spaces for asymptotic dimension by generalizing to the coarse context an approach to constructing universal spaces for covering dimension using a factorization result due to Mardesic.

Many factors affect patient outcome after congenital heart surgery, including the complexity of the heart disease, pre-operative status, patient specific factors (prematurity, nutritional status and/or presence of comorbid conditions or genetic syndromes), and post-operative residual lesions. The Residual Lesion Score is a novel tool for assessing whether specific residual cardiac lesions after surgery have a measurable impact on outcome. The goal is to understand which residual lesions can be tolerated and which should be addressed prior to leaving the operating room. The Residual Lesion Score study is a large multicentre prospective study designed to evaluate the association of Residual Lesion Score to outcomes in infants undergoing surgery for CHD. This Pediatric Heart Network and National Heart, Lung, and Blood Institute-funded study prospectively enrolled 1,149 infants undergoing 5 different congenital cardiac surgical repairs at 17 surgical centres. Given the contribution of echocardiographic measurements in assigning the Residual Lesion Score, the Residual Lesion Score study made use of a centralised core lab in addition to site review of all data. The data collection plan was designed with the added goal of collecting image quality information in a way that would permit us to improve our understanding of the reproducibility, variability, and feasibility of the echocardiographic measurements being made. There were significant challenges along the way, including the coordination, de-identification, storage, and interpretation of very large quantities of imaging data. This necessitated the development of new infrastructure and technology, as well as use of novel statistical methods. The study was successfully completed, but the size and complexity of the population being studied and the data being extracted required more technologic and human resources than expected which impacted the length and cost of conducting the study. This paper outlines the process of designing and executing this complex protocol, some of the barriers to implementation and lessons to be considered in the design of future studies.

Human-designed objects have traditionally been constructed of relatively inert matter, and some recently examples been enhanced using stimuli-responsive ‘active matter’. Biotechnology offers the opportunity to consider living cells as constructional matter. However, living cells are distinct from familiar categories of matter because they were once independent organisms themselves. Construction with living cells involves cybernetic and behavioural concepts as well as the laws of mechanics: cells are ‘agential matter’. They make decisions and solve problems in ways that can be exploited by engineers, much as they have been exploited by evolution in creating multicellular organisms. Building with agential matter poses unique challenges, requiring the bioengineer to tame collective behaviours of cellular swarms by exploiting techniques of top-down control (behaviour-shaping signals) alongside bottom-up reconfiguration of molecular hardware. However, exploiting the multiscale competency of life offers unprecedented opportunities for engineering, regenerative medicine, and robotics. Agential materials have transformative potential but require complex design methods that go beyond our current methods of engineering and the reductionism present in biological research. We invite contributions that design, explain or test these methods.

ABSTRACT IMPACT: Analyzing the types of technical assistance (basic, targeted or intensive) provided by the Opioid Response Network (ORN) to unique and hard-to-reach populations (UHRP) informs addiction health services and translational research by identifying technical assistance needs in these populations which may require a higher level of intensity. OBJECTIVES/GOALS: To improve ORN dissemination and implementation efforts, the project classifies TA requests into one of three categories: basic, targeted, and intensive. This TA Framework assists the ORN project team in understanding the level of TA required in the delivery of evidence-based practices to address opioids with communities with respect to UHRP. METHODS/STUDY POPULATION: TA requests from April 1, 2019, to April 1, 2020, were selected. The ORN classifies TA requests in one of three categories: basic (dissemination & brief consultation), targeted (services to enhance readiness and capacity), and intensive (full incorporation of innovation considering context, culture, and linguistics) (Fixsen, et. al., 2009; Becker, et al., 2020). Unique and hard-to-reach populations (UHRP) are defined based on physical location (i.e., remote or isolated), social position, or other vulnerabilities (i.e. member of an ethnic or racial minority group) (Thurman, & Harrison, 2020). ORN classifies 26 types of UHRP these types are not mutually exclusive. A frequency analysis of the UHRP types was conducted. Bivariate correlations between UHRP types that had a minimum of 30 cases were performed. RESULTS/ANTICIPATED RESULTS: Among 746 TA requests selected, 226 had missing information about UHRP types and 29 had missing information TA levels. These requests were excluded from the frequency analysis. The three most common UHRP types were people living in rural or remote areas (n=262, 50%), people who are uninsured or underinsured (n=162, 31%), and people who inject drugs (n=158, 30%). Most TA requests were targeted (69%), 23% were intensive, and 9% were basic. Bivariate correlations were performed between 21 UHRP types. Moderate (Pearson’s r=0.4-0.6) or strong correlations (r>0.6) were found for 11 occurrences for the UHRP type of ‘LGBT’, 8 for ‘Mental Illness’, and 7 for ‘Veterans’. Strong correlations were found between ‘Justice Involved’ and ‘Incarcerated’ (r=0.645), and between ‘Disabilities’ and ‘Chronic Pain’ (r=0.603). DISCUSSION/SIGNIFICANCE OF FINDINGS: There were more TA requests at targeted and intensive levels than basic levels suggesting the need for services to enhance readiness and build capacity. The moderate/strong correlations indicate that UHRP types were likely to coexist with other types. Future research can explore combining UHRP types that have moderate/strong correlations.

Background: Rapidly identifying patients colonized with multidrug-resistant organisms (MDROs) upon ICU admission is critical to control and prevent the spread of these pathogens in healthcare facilities. Electronic health records (EHR) provide a rich source of data to predict the likelihood of MDRO colonization at admission, whereas surveillance methods are resource intensive and results are not immediately available. Our objectives were (1) to predict VRE and CRO colonization at ICU admission and (2) to identify patient subpopulations at higher risk for colonization with these MDROs. Methods: We conducted a retrospective analysis of patients aged ≥16 years admitted to any of 6 medical or surgical intensive care units (ICU) in the Johns Hopkins Hospital from July 1, 2016, through June 30, 2018. Perirectal swabs were collected at ICU unit admission and were tested for VRE and CRO. Patient demographic data, prior hospitalizations, and preadmission clinical data, including prior medication administration, prior diagnoses, and prior procedures, were extracted to develop prediction models. We employed the machine-learning algorithms logistic regression (LR), random forest (RF), and XGBoost (XG). The sum of sensitivity and specificity (ie, Youden’s index) was selected as the performance metric. Results: In total, 5,033 separate ICU visits from 3,385 patients were included, where 555 (11%) and 373 (7%) admissions tested positive for VRE and CRO, respectively. The sensitivity and specificity of our models for VRE were 78% and 80% with LR, 80% and 82% with RF, and 77% and 87% with XG. Predictions for CRO were not as precise, with LR at 73% and 53%, RF at 81% and 48%, and XG at 69% and 61%. The XG algorithm was the best-performing algorithm for both VRE and CRO. Prior VRE colonization, recent (<180 days) long-term care facility stay, and prior hospitalization >60 days were the key predictors for VRE, whereas the primary predictor for CRO colonization was prior carbapenem use. Conclusions: We demonstrated that EHR data can be used to predict >75% of VRE positive cases with a <15% false-positive rate and ~70% of CRO cases with a <40% false-positive rate. Future studies using larger sample sizes may improve the prediction accuracy and inform model generalizability across sites and thus reduce the risk of transmission of MDROs by rapidly identifying MDRO-colonized patients.

Funding: This work was funded by the Centers for Disease Control and Prevention (CDC) Epicenters Program (Grant Number 1U54CK000447) and the CDC MInD-Healthcare Program (Grant Number 1U01CK000536).

Disclosures: Aaron Milstone, BD (consulting)

Building on past research, we implement a hierarchical latent class model to analyze political participation from a comparative perspective. Our methodology allows simultaneously: (i) estimating citizens’ propensity to engage in conventional and unconventional modes of participation; (ii) classifying individuals into underlying “types” capturing within- and cross-country variations in participation; and (iii) assessing how this classification varies with micro- and macro-level factors. We apply our model to Latin American survey data. We show that our method outperforms alternative approaches used to study participation and derive typologies of political engagement. Substantively, we find that the distribution of participatory types is similar throughout the continent, and that it correlates strongly with respondents’ socio-demographic characteristics and crime victimization.

OBJECTIVES/GOALS: Regardless of their career choices, today’s biomedical researchers need to blend great science with core skills ininnovation and entrepreneurship (I&E). The objective of this NIH-funded education program was to develop and test a pragmatic training program to teach relevant I&E skills. METHODS/STUDY POPULATION: We used a modified Delphi approach to identify 15 relevant competencies for I&E and the essential topics to include in the program. Learner interviews identified preferences for online training programs (short, high-quality audio-visual content, ability to self-navigate, peer and instructor interactions). The inaugural program included 7 short, online courses that addressed how to identify and validate opportunities for innovation, sell your innovation to diverse audiences, assess its ethical consequences, work in teams, and develop resilience as an innovator. It also included mentor support, a team-based capstone project, and an optional in-person boot camp. RESULTS/ANTICIPATED RESULTS: 51 students enrolled and 41 participants from 9 institutions completed the program, including pre- and post-doctoral students and junior faculty. They organized into 10 teams to complete the capstone project, with 6 teams pitching their innovation to fellow students and mentors at the boot camp. Students rated satisfaction with courses highly overall, with 79% stating they would be disappointed if the program was no longer available. Preliminary results suggest participants increased their knowledge about and ability to perform tasks taught throughout the program. Suggestions for improvement included providing more practical advice and real-world examples to complement educational videos. DISCUSSION/SIGNIFICANCE OF IMPACT: The inaugural E4B program was well received and effective in increasing I&E skills. Improvements will include increased opportunity for mentor interactions and for advanced entrepreneurial training. The program is open for biomedical research trainees from all institutions with a CTSA award.

The Canadian Multiple Sclerosis Working Group has updated its treatment optimization recommendations (TORs) on the optimal use of disease-modifying therapies for patients with all forms of multiple sclerosis (MS). Recommendations provide guidance on initiating effective treatment early in the course of disease, monitoring response to therapy, and modifying or switching therapies to optimize disease control. The current TORs also address the treatment of pediatric MS, progressive MS and the identification and treatment of aggressive forms of the disease. Newer therapies offer improved efficacy, but also have potential safety concerns that must be adequately balanced, notably when treatment sequencing is considered. There are added discussions regarding the management of pregnancy, the future potential of biomarkers and consideration as to when it may be prudent to stop therapy. These TORs are meant to be used and interpreted by all neurologists with a special interest in the management of MS.

Does attentiveness matter in survey responses? Do more attentive survey participants give higher quality responses? Using data from a recent online survey that identified inattentive respondents using instructed-response items, we demonstrate that ignoring attentiveness provides a biased portrait of the distribution of critical political attitudes and behavior. We show that this bias occurs in the context of both typical closed-ended questions and in list experiments. Inattentive respondents are common and are more prevalent among the young and less educated. Those who do not pass the trap questions interact with the survey instrument in distinctive ways: they take less time to respond; are more likely to report nonattitudes; and display lower consistency in their reported choices. Inattentiveness does not occur completely at random and failing to properly account for it may lead to inaccurate estimates of the prevalence of key political attitudes and behaviors, of both sensitive and more prosaic nature.

Northern China has been identified as an independent centre of domestication for various types of millet and other plant species, but tracing the earliest evidence for the exploitation of wild cereals and thus the actual domestication process has proven challenging. Evidence from microscopic analyses of stone tools, including use-wear, starch and phytolith analyses, however, show that in the Shizitan region of north China, various plants have been exploited as far back as 28000 years ago, and wild millets have been harvested and processed by the time of the Last Glacial Maximum, 24000 years ago. This is some 18000–14000 years before the earliest evidence for domesticated millet in this region.