Silica nanoparticles with encapsulated DNA (SPED) to trace the spread of pathogens in healthcare

Background To establish effective infection control protocols, understanding pathogen transmission pathways is essential. Non-infectious surrogate tracers may safely explore these pathways and challenge pre-existing assumptions. We used silica nanoparticles with encapsulated DNA (SPED) for the first time in a real-life hospital setting to investigate potential transmission routes of vancomycin-resistant enterococci in the context of a prolonged outbreak. Methods The two study experiments took place in the 900-bed University Hospital Zurich, Switzerland. A three-run ‘Patient experiment’ investigated pathogen transmission via toilet seats in a two-patient room with shared bathroom. First, various predetermined body and fomite sites in a two-bed patient room were probed at baseline. Then, after the first patient was contaminated with SPED at the subgluteal region, both patients sequentially performed a toilet routine. All sites were consequently swabbed again for SPED contamination. Eight hours later, further spread was tested at predefined sites in the patient room and throughout the ward. A two-run ‘Mobile device experiment’ explored the potential transmission by mobile phones and stethoscopes in a quasi-realistic setting. All SPED contamination statuses and levels were determined by real-time qPCR. Results Over all three runs, the ‘Patient experiment’ yielded SPED in 59 of 73 (80.8%) predefined body and environmental sites. Specifically, positivity rates were 100% on subgluteal skin, toilet seats, tap handles, and entertainment devices, the initially contaminated patients’ hands; 83.3% on patient phones and bed controls; 80% on intravenous pumps; 75% on toilet flush plates and door handles, and 0% on the initially not contaminated patients’ hands. SPED spread as far as doctor’s keyboards (66.6%), staff mobile phones (33.3%) and nurses’ keyboards (33.3%) after eight hours. The ‘Mobile device experiment’ resulted in 16 of 22 (72.7%) positive follow-up samples, and transmission to the second patient occurred in one of the two runs. Conclusions For the first time SPED were used to investigate potential transmission pathways in a real hospital setting. The results suggest that, in the absence of targeted cleaning, toilet seats and mobile devices may result in widespread transmission of pathogens departing from one contaminated patient skin region.

Lighting the Patient Room of the Future: Evaluating Different Lighting Conditions From the Patient Perspective

Objective: This study explores whether “future” lighting systems that provide greater control and opportunity for circadian synchronization are acceptable to participants in the role of patients. Background: Tunable, dimmable light emitting diode systems provide multiple potential benefits for healthcare. They can provide significant energy savings, support circadian synchronization by varying the spectrum and intensity of light over the course of the day, address nighttime navigation needs, and provide user-friendly control. There is an emerging understanding of the important visual and nonvisual effects of light; however, important questions remain about the experience and acceptability of this “future” lighting if we are to adopt it broadly. Methods: Volunteer participants (34) performed a series of tasks typical of patients, such as reading or watching a video, in a full-scale simulated inpatient room. Each participant conducted these tasks under 12 lighting conditions in a counterbalanced order that included varying illuminance levels, correlated color temperatures (CCTs), and in a few conditions, saturated colors. The participants rated each lighting condition on comfort, intensity, appropriateness, and naturalness. Results and Conclusions: The participants found that conditions with CCTs of 5,000 K and higher were significantly less comfortable and less natural than conditions with lower CCTs. Conditions with lighting distributed in multiple zones in the patient room were viewed more favorably than a traditional overbed configuration. The participants in this simulated patient study reacted negatively to colored lighting on the footwall of the room but found a mixture of warmer and cooler luminaire CCTs acceptable.

Sampling for SARS-CoV-2 Aerosols in Hospital Patient Rooms

Evidence varies as to how far aerosols spread from individuals infected with SARS-CoV-2 in hospital rooms. We investigated the presence of aerosols containing SARS-CoV-2 inside of dedicated COVID-19 patient rooms. Three National Institute for Occupational Safety and Health BC 251 two-stage cyclone samplers were set up in each patient room for a six-hour sampling period. Samplers were place on tripods, which each held two samplers at various heights above the floor. Extracted samples underwent reverse transcription polymerase chain reaction for selected gene regions of the SARS-CoV-2 virus nucleocapsid. Patient medical data were compared between participants in rooms where virus-containing aerosols were detected and those where they were not. Of 576 aerosols samples collected from 19 different rooms across 32 participants, 3% (19) were positive for SARS-CoV-2, the majority from near the head and foot of the bed. Seven of the positive samples were collected inside a single patient room. No significant differences in participant clinical characteristics were found between patients in rooms with positive and negative aerosol samples. SARS-CoV-2 viral aerosols were detected from the patient rooms of nine participants (28%). These findings provide reassurance that personal protective equipment that was recommended for this virus is appropriate given its spread in hospital rooms.

The Continuous Learning Cycle: A Multi-phase Post-occupancy Evaluation (POE) of Decentralized Nursing Unit Design

Purpose: This study aims to demonstrate how multiphase postoccupancy evaluation (POE) research was integrated into multiple projects to develop a continuous learning cycle. Background: Despite the well-recognized importance of POE, few studies have reported how knowledge from POE is applied in new designs. Method: This study is developed as a multiphase POE that spanned 3 years and across three units. Phase I POE compared an existing unit (Unit A) in Hospital A and a new Unit B in Hospital B that has implemented innovative design features such as decentralized nurse stations. The idea was to understand the challenges of the existing facility in Hospital A and gather lessons learned from the new design in Unit B to inform the design of the Hospital A expansion (Unit C). After the new expansion was occupied, the Phase II POE was conducted using the same set of POE tools in both Unit C and Unit A. The POE applied the following methods: (1) patient room evaluations using the Center for Health Design standardized POE tools, (2) space syntax analysis of visibility, and (3) a pre- and postmove analysis of Press Ganey data. Results: The results demonstrated that by incorporating lessons learned from the Phase I POE, Unit C has further improvement on patient room design ratings, improved patient satisfaction, and better visibility among nurse work areas compared to Unit A and Unit B. Conclusions: The multiphase, multisite POE with standardized tools has demonstrated its value as an important tool for continuous design quality improvement.

380. Environmental Contamination with SARS-CoV-2 in Nursing Homes

Background The COVID-19 pandemic has disproportionately affected nursing home (NH) patients, accounting for 5% of all cases and 32% of all COVID-19 deaths nationwide. Little is known about the frequency and persistence of SARS-CoV-2 environmental contamination in NHs. We characterize SARS-CoV-2 contamination in the rooms of COVID-19 patients and common areas in and around COVID-19 units. Methods A prospective cohort study was conducted at four NHs in Michigan between October 2020 and January 2021. Clinical research personnel obtained swab specimens from high-touch room surfaces of COVID-19 infected patients, up to three times per patient. Weekly swab specimens from six high-touch surfaces in common areas were also obtained. Demographic and clinical data were collected from patient clinical records. Our primary outcome of interest was the probability of SARS-CoV-2 detection from specific environmental surfaces in COVID-19 patient rooms. Results One hundred four patients with COVID-19 were enrolled and followed for 241 visits. Patient characteristics included: 61.5% over the age of 80; 67.3% female; 89.4% non-Hispanic white; 50.1% short-stay. The study population had significant disabilities in activities of daily living (ADL; 81.7% dependent in four or more ADLs) and comorbidities including dementia (55.8%), diabetes (40.4%) and heart failure (32.7) (Table 1). Over the 3-month study period, 2087 swab specimens were collected (1896 COVID-19 patient room surfaces, 191 common area swabs). Figure 1 shows contamination rates at sites proximate and distant to the patient bed. SARS-CoV-2 positivity was 28.4% (538/1896 swabs) on patient room surfaces and 3.7% (7/191 swabs) on common area surfaces. Over the course of follow-up, 89.4% (93/104) of patients had SARS-CoV-2 contamination in their room at least once (Figure 2). Environmental contamination detected on enrollment correlated with contamination of the same site during follow-up. Functional independence increased the odds of proximate contamination. Table 1. Clinical and Demographic Characteristics of the Study Population Including Short- and Long-stay Patients Figure 1. Contamination of Environmental Surfaces Relative to Distance from Patient Bed Figure 2. SARS-CoV-2 on Swab Specimens Collected – Patient-level, Visit-level, and Swab-level Conclusion We conclude that environmental contamination of surfaces in the rooms of COVID-19 patients is nearly universal and persistent. Patients with greater independence are more likely than fully dependent patients to contaminate their immediate environment. Disclosures All Authors: No reported disclosures

419. SARS-CoV-2 Environmental Surface Contamination of Healthcare Staff Common Areas

Background There are limited data regarding SARS-CoV-2 (SC2) environmental contamination in staff areas of healthcare settings. We performed environmental sampling of staff areas in wards where coronavirus disease 19 (COVID-19) patients received care and compared findings to surfaces within COVID-19 patient rooms. Methods The study was conducted at the Hospital of the University of Pennsylvania (Philadelphia, PA) from 9/15/20-1/26/21. Sampling of 20cm2 surfaces in staff common areas (breakroom high-touch surfaces comprising tables and microwave/refrigerator handles; bathroom surfaces comprising toilet, sink, and doorknob; and floors), nurse workstations (computer mice and floors), and COVID-19 patient rooms (high-touch surfaces comprising bedrail, computer mice/keyboards, and doorknobs; bathroom surfaces; and floors) was performed using flocked swabs one or more times per week. Specimens underwent RNA extraction and quantitative real-time polymerase chain reaction to detect the SC2 N1 region. Median comparisons were performed using Wilcoxon rank sum test. Trends in odds were evaluated using Score test. Results Proportions of surface specimens with detectable SC2 RNA are summarized in Table 1. Median copy numbers were lower among staff toilets compared to COVID-19 patient toilets (135.6 vs. 503.8 copies/specimen, p=0.02), lower among staff breakroom compared to patient room high-touch surfaces (104.3 vs. 220.3 copies/specimen, p=0.007), and similar between staff and patient room samples from sinks and floors. At nurse workstations, SC2 RNA was detected among 22/177 (12.4%) computer mouse and 147/178 (82.6%) floor samples. Odds of SC2 detection increased by study week among common area (p< 0.001) and nurse workstation samples (p< 0.001) (Figures 1 and 2). Table 1. SARS-CoV-2 (SC2) RNA detection on staff common area and coronavirus disease 19 (COVID-19) patient room surfaces at the Hospital of the University of Pennsylvania, 9/15/20-1/26/21. Figure 1. Proportion of environmental surface specimens with detectable SARS-CoV-2 RNA from a) staff common areas and b) nurse workstations of inpatient wards where coronavirus disease-19 patients received care at the Hospital of the University of Pennsylvania, 9/15/20-1/26/21. Figure 2. Proportion of environmental surface specimens with detectable SARS-CoV-2 RNA in staff common areas of inpatient wards where coronavirus disease-19 patients received care at the Hospital of the University of Pennsylvania, 9/15/20-1/26/21, by surface type: a) staff breakroom surfaces, b) staff bathroom surfaces, c) staff common area floors. Conclusion A low prevalence of detectable SC2 RNA was observed among staff area high-touch surfaces; however, the likelihood of detection increased over time. Environmental SC2 RNA detection may reflect primary contamination from infected healthcare workers or secondary contamination from contact with infected patients, though a direct relationship between surface SC2 RNA viral detection and transmission risk has not been established. Disclosures Michael Z. David, MD PhD, GSK (Board Member) Ebbing Lautenbach, MD, MPH, MSCE, Merck (Other Financial or Material Support, Member of Data and Safety Monitoring Board (DSMB))

780. Carbapenem-resistant Enterobacteriaceae (CRE) Contamination of In-room Sinks in a New Bed Tower

Background Time from opening of a new bed tower to CREcontamination of patient room hospital sinks is poorly understood. Methods A 26-bed patient care unit in a new bed tower was opened on 7/18/2020. Patients admitted to this unit underwent weekly rectal cultures to survey for carbapenemase-producing (CP) CRE. Additionally, infection preventionists performed routine surveillance of all clinical cultures for CP-CRE. In-room sinks were located opposite the patient headwall in each patient room and were cultured monthly beginning 9/14/2020 for 3 months. Samples were obtained from the drain cover, handles, and top of bowl using sponges soaked in neutralizing buffer and processed using the stomacher technique. The tailpipe was sampled using a flocked mini-tip swab soaked in neutralizing buffer; the p-trap water was sampled with sterile tubing attached to a 50mL syringe. All samples were plated on HARDYCHROM-ESBL and KPC Colorex medias and incubated at 37°C for 24 hours. Carbapenem resistance genes (NDM1, KPC, IMP, VIM and OXA48) were detected by multiplex PCR and species were confirmed using MALDI-TOF. Environmental pathogens with intrinsic carbapenem resistance and no detected carbapenem-resistance genes were excluded. Results Generally, patients admitted to study rooms were similar across samplings (Table 1). No CP-CRE-positive patients were identified from weekly screening or clinical cultures from the opening of the unit through the end of the study. On the first sampling we discovered KPC-positive Enterobacter cloacae complex on a drain cover (1,400 CFU) and two environmental pathogens housing IMP or KPC genes. On the second sampling we discovered five environmental pathogens housing IMP or KPC genes. On the third sampling we discovered two environmental pathogens housing the IMP gene in p-traps (Figure 1). Table 1. Patient Characteristics Figure 1. Bacterial species and carbapenem-resistance genes found over time Conclusion In a new bed tower open for 58 days with no evidence of CRE positive patients, CRE and CRE genes were discovered in in-room sinks in clinically important (KPC) and environmental pathogens (KPC, IMP). We observed transient colonization of sink drains with potentially important pathogens during a short observation period. Observation over longer time is required to determine transient versus persistent colonization and risk factors for persistent drain colonization. Disclosures All Authors: No reported disclosures

Intelligent Dust Monitoring Application in Patient Room

Due to an ongoing epidemic, the number of hospitalized bedridden patients has increased. It is imperative to closely monitor the hospital room and maintain and clean it regularly to avoid harm to the patients. The accommodations may not be within the standards for a bed-bound patient’s room. The patient has a risk of contracting a respiratory disease, or having an asthmatic attack, if exposed to high levels of PM1, PM2.5, or PM10 dust that cannot be seen with bare eyes so the risk factor is not easy to notice. The goal of this study was to develop a dust monitoring system for hospital bedrooms using IoT, so that the caregivers can monitor air quality in the room. By applying the Internet of Things (IoTs) technology to communicate between sensors and mobile phones, the internet serves as the medium for communication. The demonstration system in the room was equipped with 5 sensor cluster, each measuring: temperature, humidity and dust sensors for PM1, PM2.5, and PM10. Decision trees were trained to predict the outcome of cases after collecting data. The final decision tree model reached an overall classification accuracy of 92.8%. The system could alert for housekeeping or turn on or off an automatic dust remover based on the amount of dust in the room. It also supports cleaning and dust removal to ensure that the bed patient’s room is appropriate and reduces the risk of respiratory diseases caused by dust.

The Parent–Child Patient Unit (PCPU): Evidence-Based Patient Room Design and Parental Distress in Pediatric Cancer Centers

Children with cancer are frequently hospitalized during diagnosis and treatment. Since the early 1980s, parents are co-admitted because their presence positively affects children’s adjustment to hospitalization and reduces post-traumatic stress. However, the size and overall architectural design of the rooms were never adapted to the doubling of the occupancy rate. Since studies show that many parents experience high levels of distress due to their child’s illness, the purpose of this study was to investigate the impact of the architecture of the aged patient rooms on parental distress. A video observation targeted parent–child interaction related to five architectural determinants: (a) function and place of interaction, (b) distance between parent and child, (c) used space, (d) withdrawal, and (e) duration of the interaction. A total of 22 families were included in two Dutch children’s hospitals. Results show a significant association between parental distress and three architectural determinants: The less anxious the parents were and the better they estimated their child’s well-being, the more distance they created between themselves and their child, and the more space, privacy, and withdrawal options were used. These findings are discussed within a new patient room typology, the parent–child patient unit (PCPU), which reacts to the evident association of parental distress and the design.