Nature has developed myriad ways for organisms to interact with their environment using light and electronic signals. Optical and electronic properties can be observed macroscopically by measuring light emission or electrical current, but are conferred at the molecular level by the arrangement of small biological molecules, specifically proteins. Here, we present a brief overview of the current uses of proteins for applications in optical and electronic materials. We provide the natural context for a range of light-emitting, light-receiving, and electronically conductive proteins, as well as demonstrate uses in biomaterials. Examples of how genetic engineering has been used to expand the range of functional properties of naturally occurring proteins are provided. We touch on how approaches to patterning and scaffolding optical and electronic proteins can be achieved using proteins with this inherent capability. While much research is still required to bring their use into the mainstream, optical and electronic proteins have the potential to create biomaterials with properties unmatched using conventional chemical synthesis.

There is mounting evidence for the potential for the natural dietary antioxidant and anti-inflammatory amino acid l-Ergothioneine (ERGO) to prevent or mitigate chronic diseases of aging. This has led to the suggestion that it could be considered a ‘longevity vitamin.’ ERGO is produced in nature only by certain fungi and a few other microbes. Mushrooms are, by far, the leading dietary source of ERGO, but it is found in small amounts throughout the food chain, most likely due to soil-borne fungi passing it on to plants. Because some common agricultural practices can disrupt beneficial fungus–plant root relationships, ERGO levels in foods grown under those conditions could be compromised. Thus, research is needed to further analyse the role agricultural practices play in the availability of ERGO in the human diet and its potential to improve our long-term health.

Background: Staphylococcus aureus–colonized hospitalized patients are at risk for invasive infection and can transmit S. aureus to other patients in the absence of symptoms. Infection isolation precautions do not reduce the risk of infection in colonized patients and are untenable in health systems with high rates of S. aureus colonization. Objective: We implemented an inpatient S. aureus screening and targeted decolonization program across hospital campuses to reduce transmission and invasive infection. We screen and decolonize for methicillin-susceptible S. aureus (MSSA) and methicillin-resistant S. aureus (MRSA) because MSSA makes up more than half of all S. aureus isolated from clinical cultures in our health system. Methods: All medicine, pediatrics, and transplant patients receive S. aureus nares culture at admission and upon change in level of care for medicine, and at admission and weekly for pediatrics and transplant patients. All S. aureus–colonized patients receive decolonization with nasal mupirocin ointment and chlorhexidine baths. Two implementation frameworks guide our processes for S. aureus screening and decolonization: the Consolidated Framework for Implementation Research, to evaluate factors affecting implementation at different levels of the health system, and the Dynamic Sustainability Framework, to account for iterative changes as the hospital setting and patient population change over time. Implementation interventions focus on education of patients and bedside nurses who perform S. aureus screening and decolonization; utilization of the electronic health record to identify patients for screening and/or decolonization and avoid human error; and introduction of a clinical nurse specialist to oversee the program and to provide iterative feedback. Results: At baseline, 21% of patients had S. aureus colonization, 20% of which was MRSA, and the MRSA bloodstream infection rate was 0.06 per 1,000 patient days. After program implementation, there was no change in S. aureus colonization and the MRSA bloodstream infection rate fell to 0.04 per 1,000 patient days. Screening compliance improved from 39% (N = 1,805) of eligible patients in the 6-month period before the introduction of the clinical nurse specialist to 52% (N = 2,024) after the introduction of the clinical nurse specialist. In the same periods, decolonization increased from 18.6% to 41% of eligible patients. Conclusions: We used 2 implementation frameworks to design our S. aureus screening and decolonization program and to make iterative changes to the program as it evolved to include new patient populations and different hospital settings. This resulted in a large-scale, sustainable, health system program for S. aureus control that avoids reliance on infection isolation precautions.

Funding: None

Disclosures: None

Background: Contaminated surfaces within patient rooms and on shared equipment is a major driver of healthcare-acquired infections (HAIs). The emergence of Candida auris in the New York City metropolitan area, a multidrug-resistant fungus with extended environmental viability, has made a standardized assessment of cleaning protocols even more urgent for our multihospital academic health system. We therefore sought to create an environmental surveillance protocol to detect C. auris and to assess patient room contamination after discharge cleaning by different chemicals and methods, including touch-free application using an electrostatic sprayer. Surfaces disinfected using touch-free methods may not appear disinfected when assessed by fluorescent tracer dye or ATP bioluminescent assay. Methods: We focused on surfaces within the patient zone which are touched by the patient or healthcare personnel prior to contact with the patient. Our protocol sampled the over-bed table, call button, oxygen meter, privacy curtain, and bed frame using nylon-flocked swabs dipped in nonbacteriostatic sterile saline. We swabbed a 36-cm2 surface area on each sample location shortly after the room was disinfected, immediately inoculated the swab on a blood agar 5% TSA plate, and then incubated the plate for 24 hours at 36°C. The contamination with common environmental bacteria was calculated as CFU per plate over swabbed surface area and a cutoff of 2.5 CFU/cm2 was used to determine whether a surface passed inspection. Limited data exist on acceptable microbial limits for healthcare settings, but the aforementioned cutoff has been used in food preparation. Results: Over a year-long period, terminal cleaning had an overall fail rate of 6.5% for 413 surfaces swabbed. We used the protocol to compare the normal application of either peracetic acid/hydrogen peroxide or bleach using microfiber cloths to a new method using sodium dichloroisocyanurate (NaDCC) applied with microfiber cloths and electrostatic sprayers. The normal protocol had a fail rate of 9%, and NaDCC had a failure rate of 2.5%. The oxygen meter had the highest normal method failure rate (18.2%), whereas the curtain had the highest NaDCC method failure rate (11%). In addition, we swabbed 7 rooms previously occupied by C. auris–colonized patients for C. auris contamination of environmental surfaces, including the mobile medical equipment of the 4 patient care units that contained these rooms. We did not find any C. auris, and we continue data collection. Conclusions: A systematic environmental surveillance system is critical for healthcare systems to assess touch-free disinfection and identify MDRO contamination of surfaces.

Funding: None

Disclosures: None

Background: Although definitions from the CDC were developed to increase the reliability of surveillance data, reduce the burden of surveillance in healthcare facilities, and enhance the utility of surveillance data for improving patient safety, the algorithm is still laborious for manual use. We implemented an automated surveillance system that combines 2 CDC pneumonia surveillance definitions to identify pneumonia infection in inpatients. Methods: The program was implemented at an academic health center with >40,000 inpatient admission per year. We used Window Task Scheduler with a batch file daily to run a validated pneumonia surveillance algorithm program written with SAS version 9.4 software (SAS Institute, Cary, NC) and a natural language processing tool that queries variables (Table 1) and text found in the electronic medical records (EMR) to identify pneumonia cases (Fig. 1). We uploaded all computer-identified positive cases into a Microsoft Access database daily to be reviewed by a hospital epidemiologist. Every week, we also validated 5 computer-identified negative cases from the prior 2 weeks to ensure accuracy of the computer algorithm. We defined negative cases as pneumonia present on admission or chest x-ray indicative of pneumonia but without CDC-defined surveillance symptoms. We also wrote a program to automatically send e-mails to key stakeholders and to prepare summary reports. Results: Since November 2019, we have successfully implemented the automated computer algorithm or program to notify, via e-mail, infection prevention staff and respiratory therapy providers of CDC-defined pneumonia cases on a daily basis. This automated program has reduced the number of manual hours spent reviewing each admission case for pneumonia. A summary report is created each week and month for distribution to hospital staff and the Department of Health, respectively. Conclusions: The implementation of an automated pneumonia surveillance system proves to be a timelier, more cost-effective approach compared to manual pneumonia surveillance. By allowing an automated algorithm to review pneumonia, timely reports can be sent to infection prevention control staff, respiratory therapy providers, and unit staff about individual cases. Hospitals should leverage current technology to automate surveillance definitions because automated programs allow near real-time identification and critical review for infection and prevention activities.

Funding: None

Disclosures: None

Background: Whole-genome sequencing (WGS) has a high discriminatory power in confirming outbreaks. Outbreak investigation models that categorize the possibility of an outbreak based on the degree of genetic relatedness of isolates are highly dependent on the single-nucleotide polymorphism (SNP) threshold used. Methods: NYU Langone Medical center is a 725-bed academic center that has implemented WGS of methicillin-resistant Staphylococcus aureus (MRSA) isolates since 2016. Patients admitted to a medical or intensive care unit were screened on admission and transfer. The first surveillance and clinical MRSA isolate during each hospitalization was sequenced. We conducted a retrospective analysis to identify strong epidemiologic links among patients involved in genetically related clusters. We used different SNP thresholds to define genetic relatedness to identify the optimal threshold that should prompt an outbreak investigation. We considered strong hospital epidemiologic links sharing the same room or unit or having resided in the same room or unit within 7 days. A pairwise analysis was conducted to compare the epidemiologic links among patients involved in genetically related clusters. Results: Among 1,070 isolates, our analysis focused on 777 belonging to USA100 and USA300 clones. For USA100 isolates, we identified 8, 14, and 20 clusters comprising of 16, 29, and 42 patients when the threshold for genetic relatedness was set at 20, 40, and 60 SNP differences, respectively. Patients identified in a cluster yielded a strong hospital epidemiologic link in 62.5%, 87.5%, and 91.7% of cases (Fig. 1). For USA300 isolates, SNP differences of 10, 20, and 30 were used, identifying 20, 34, and 40 clusters of 43, 79, and 127 patients. The expansion of the threshold from 10 to 30 resulted in a decrease of the percentage of pairwise analyses with a strong hospital epidemiologic link from 57.7% to 13.6% by increasing 13-fold the number of analyses that were conducted to identify only 3 times more cases with strong epidemiologic links (Fig. 2). Conclusions: The results of our study indicate that SNPs thresholds determined by intrapatient variability of MRSA isolates might need to be tailored to the individual setting to guide infection control interventions because optimal thresholds might vary depending on characteristics of the population, MRSA isolates, and screening practices. Establishing conservative thresholds might allow the identification and quantification over time of the locations (eg, rooms or units) where transmission is occurring as well as the investigation of the clusters without strong epidemiologic links that might be valuable in elucidating unrecognized routes of transmission.

Funding: None

Disclosures: None

OBJECTIVES/GOALS: Provider and hospital factors influence quality, but granular data is lacking to assess their impact on renal cancer surgery. The Maryland Health Service Cost Review Commission (HSCRC) is an independent state agency that promotes cost containment, access to care and accountability. Within HSCRC, we aimed to assess the impact of surgeon and hospital volume on 30-day outcomes after renal cancer surgery. METHODS/STUDY POPULATION: Data on renal surgery were abstracted from the Maryland HSCRC from 2000-2018. We excluded patients younger than 18, patients without a diagnosis of renal cancer, and patients concurrently receiving another major surgery. Volume categories were derived from the distribution of mean cases performed per year. We used adjusted multivariable logistic and linear regression models to identify associations of surgeon and hospital volume with the length of stay, days in intensive care, cost, 30-day mortality, readmission, and complications. RESULTS/ANTICIPATED RESULTS: A total of 10,590 surgeries, completed by 669 surgeons at 48 hospitals, met criteria. The 25th percentile for cases per year was 1, the 50th percentile was 1.2, and the 75th percentile was 2.6. After adjusting for patient factors and cumulative surgeon experience, high volume surgeons had the greatest decrease in length of stay (β: −1.65, P<0.001) and mortality risk (OR: 0.27, 95% CI: 0.10-0.71) compared to rare volume surgeons. Low volume surgeons had the greatest cost decrease (β: -$7,300, P<0.001) compared to rare volume surgeons. Medium volume hospitals had statistically lower average costs than rare volume hospitals (β: $−2,862, P = 0.005). There were no other clinically and statistically significant relationships between volume and measured outcomes. DISCUSSION/SIGNIFICANCE OF IMPACT: Almost half of the urologists studied performed an average of one renal cancer case per year. Greater surgeon volume was associated with shorter length of stay and decreased mortality risk. Hospital volume did not have a meaningful relationship to outcomes. Other factors such as tumor, surgeon, and hospital characteristics or case-mix may associate with outcomes and could be confounders.

We describe an ultra-wide-bandwidth, low-frequency receiver recently installed on the Parkes radio telescope. The receiver system provides continuous frequency coverage from 704 to 4032 MHz. For much of the band ( ${\sim}60\%$ ), the system temperature is approximately 22 K and the receiver system remains in a linear regime even in the presence of strong mobile phone transmissions. We discuss the scientific and technical aspects of the new receiver, including its astronomical objectives, as well as the feed, receiver, digitiser, and signal processor design. We describe the pipeline routines that form the archive-ready data products and how those data files can be accessed from the archives. The system performance is quantified, including the system noise and linearity, beam shape, antenna efficiency, polarisation calibration, and timing stability.

The 2012 Supreme Court decision in National Federation of Independent Business v Sebelius gave states the option to adopt the Medicaid expansion as part of the Affordable Care Act. Many states, especially those under Republican control, have since grappled with their decision to implement the expansion. We conduct a comparative analysis of how Republican governors framed their stance on the Medicaid expansion. We analyze public statements on the Medicaid expansion published in two major in-state newspapers from all Republican governors from June 2012 through June 2018. In total we collected, coded and analyzed 3277 statements from 66 newspapers. Several key themes emerge from our analysis. While every Republican governor used oppositional framing as part of their rhetorical response to the Medicaid expansion, the policy had a destabilizing effect on the previously unified opposition to health reform. We find that Republican framing split after the results of the 2012 election and that overall Republican governors shifted towards more supportive framing prior to the 2016 presidential election. Republican governors transformed how they framed their stance towards Medicaid expansion after Donald Trump was elected in 2016, with both supportive and oppositional moral-based framing of expansion increasing. These findings inform how policymakers use rhetoric to support their stance on controversial policies in a hyper-partisan and polarized political environment.

Rapidly-rising jökulhlaups, or glacial outburst floods, are a phenomenon with a high potential for damage. The initiation and propagation processes of a rapidly-rising jökulhlaup are still not fully understood. Seismic monitoring can contribute to an improved process understanding, but comprehensive long-term seismic monitoring campaigns capturing the dynamics of a rapidly-rising jökulhlaup have not been reported so far. To fill this gap, we installed a seismic network at the marginal, ice-dammed lake of the A.P. Olsen Ice Cap (APO) in NE-Greenland. Episodic outbursts from the lake cause flood waves in the Zackenberg river, characterized by a rapid discharge increase within a few hours. Our 6 months long seismic dataset comprises the whole fill-and-drain cycle of the ice-dammed lake in 2012 and includes one of the most destructive floods recorded so far for the Zackenberg river. Seismic event detection and localization reveals abundant surface crevassing and correlates with changes of the river discharge. Seismic interferometry suggests the existence of a thin basal sedimentary layer. We show that the ballistic part of the first surface waves can potentially be used to infer medium changes in both the ice body and the basal layer. Interpretation of time-lapse interferograms is challenged by a varying ambient noise source distribution.

Academic medical centers (AMCs) face challenges in conducting research among traditionally marginalized communities due to long-standing community mistrust. Evidence suggests that some AMC faculty and staff lack an understanding of the history of distrust and social determinants of health (SDH) affecting their communities. Wake Forest Clinical and Translational Science Institute Program in Community Engagement (PCE) aims to build bridges between communities and Wake Forest Baptist Health by equipping faculty, clinicians, administrators, and staff (FCAS) with a better understanding of SDH. The PCE collaborated with community partners to develop and implement community tours to improve cross-community AMC understanding and communication, enhance knowledge of SDH, and build awareness of community needs, priorities, and assets. Nine day-long tours have been conducted with 92 FCAS. Tours included routes through under-resourced neighborhoods and visits to community assets. Participant evaluations assessed program quality; 89% reported enhanced understanding of access-to-care barriers and how SDH affect health; 86% acknowledged the experience would improve future interactions with participants and patients; and 96% agreed they would recommend the tour to colleagues. This work supports the use of community tours as a strategy to improve cross-community AMC communication, build trust, and raise awareness of community needs, priorities, and assets.

Perovskite solar cells continue to garner significant attention in the field of photovoltaics. As the optoelectronic properties of the absorbers become better understood, attention has turned to more deeply understanding the contribution of charge transport layers for efficient extraction of carriers. Titanium oxide is known to be an effective electron transport layer (ETL) in planar perovskite solar cells, but it is unlikely to result in the best device performance possible. To investigate the importance of band energy alignment between the electron transport layer and perovskite, we employ numerical modeling as a function of conduction band offset between these layers, interface recombination velocity, and ETL doping levels. Our simulations offer insight into the advantages of energy band alignment and allow us to determine a range of surface recombination velocities and ETL doping densities that will allow us to identify novel high performance ETL materials.

Cadmium telluride (CdTe) is one of the leading photovoltaic technologies with a market share of around 5%. However, there still exist challenges to fabricate a rear contact for efficient transport of photogenerated holes. Here, etching effects of various iodine compounds including elemental iodine (I2), ammonium iodide (NH4I), mixture of elemental iodine and NH4I (I−/I3− etching), and formamidinium iodide were investigated. The treated CdTe surfaces were investigated using Raman spectroscopy, X-ray diffraction (XRD), scanning electron microscopy, and energy-dispersive X-ray spectroscopy. The CdTe devices were completed with or without treatments and tested under simulated AM1.5G solar spectrum to find photoconversion efficiency (PCE). Based on Raman spectra, XRD patterns, and surface morphology, it was shown that treatment with iodine compounds produced Te-rich surface on CdTe films, and temperature-dependent current–voltage characteristics showed reduced back barrier heights, which are essential for the formation of ohmic contact and reduce contact resistance. Based on current–voltage characteristics, the treatment enhanced open-circuit voltage (VOC) up to 841 mV, fill factor (FF) up to 78.2%, and PCE up to 14.0% compared with standard untreated CdTe devices (VOC ∼ 814 mV, FF ∼ 74%, and PCE ∼ 12.7%) with copper/gold back contact.

To determine whether deep surgical site infection (dSSI) rate exhibits temporal variability, dSSI rates following 98,068 cases were analyzed. The overall dSSI rate decreased significantly between 2009 and 2018. Summer had a significantly greater rate of dSSI than winter. There was no difference in dSSI rate in July versus other months.

Drug Safety Communications (DSCs) are used by the Food and Drug Administration (FDA) to inform health care providers, patients, caregivers, and the general public about safety issues related to FDA-approved drugs. To assess patient knowledge of the messaging contained in DSCs related to the sleep aids zolpidem and eszopiclone, we conducted a large, cross-sectional patient survey of 1,982 commercially insured patients selected by stratified random sampling from the Optum Research Database who had filled at least two prescriptions for either zolpidem or eszopiclone between July 1, 2012 and June 30, 2013. Among the 594 respondents (32.7% response rate), two-thirds reported hearing generally about drug safety information prior to starting a new drug, with the remaining one-third “rarely” or “never” hearing such information. Providers and pharmacists were primary sources of drug safety information. Two-thirds of zolpidem users and half of eszopiclone users reported having heard about the related DSC messages, ability to accurately identify the major factual messages was limited (overall median 2 correct out of 5, with men and those reporting higher educational level scoring higher [2/5 vs. 1/5, p=0.001]). Respondents reacted to new drug safety information about their sleep aids by reporting that they would want to learn about alternative ways to help them sleep (70%) and seek out more information about the safety of their specific sleeping pill (59-78%). Opportunities may exist for the FDA to work with providers and pharmacies to help ensure the DSC information is more widely received and is more fully understood by those taking the affected medications.