804. Infection Control and Clinical Support in Long-Term Care Homes During the COVID-19 Pandemic in North Toronto: A Quasi-Experimental Study

Abstract Background Wave one of the COVID-19 pandemic in Ontario, Canada, resulted in significant institutional outbreaks associated with high case fatality among older adults. Our hospital formally partnered with congregate care homes in north Toronto to support infection control and clinical management before wave two of the COVID-19 pandemic. Our aim was to evaluate the impact of this program on resident and healthcare worker (HCW) outcomes. Methods A multicentre quasi-experimental study was conducted comparing outcomes between wave one (March-June, 2020) and wave two (October-December, 2020) among 17 congregate care homes (4 long term care homes and 13 residential homes). During wave two, weekly meetings and 42 on-site visits were conducted along with on-site daily hospital presence for all COVID-19 outbreaks to support infection control and resident management. The primary outcomes included COVID-19-case fatality rate as well as overall resident fatality including COVID-19 and non-COVID-19 related causes. Secondary outcomes included healthcare worker COVID-19 infections, and infection control practices among homes with paired audits (n=6), including hand hygiene, use of personal protective equipment, environmental cleaning and physical distancing practices. Results Among 2203 residents during wave one and 2287 residents during wave two, there was reduction in COVID-19 case fatality rate (38.1% vs. 13.4%; p< 0.01), overall COVID-19-related fatality (2.3% vs. 1.0%; p< 0.01) and non COVID-19 related fatality (8.3% vs. 3.5%; p< 0.01). Weekly staff testing and increased syndromic surveillance was implemented during wave two. Among 2590 staff, there were 2.6% vs.4.2% staff who tested positive for COVID-19 during wave one and two, respectively. Changes in infection control practice were observed in regard to directly observed hand hygiene (83.3% vs. 100%), use of personal protective equipment (16.7% vs. 83.3%), environmental cleaning (66.7% vs. 100%) and physical distancing (66.7% vs. 83.3%). Conclusion Integration of hospital with community congregate care homes was associated with improvements in resident outcomes during wave two of the pandemic. Further longitudinal support and evaluation is needed to ensure sustainability. Disclosures All Authors: No reported disclosures

Methods. Behavioral and structural interventions to limit acquisition from WWD sites were informed by an environmental analysis and rolled out in staged fashion beginning in September 2019. Pre-and post-intervention colonization surveys were performed on the unit to assess for patient and WWD site P. aeruginosa colonization. Whole genome sequencing (WGS) was performed on select isolates. A sensitivity analysis performed accounted for the unconfirmed patient isolates. BSI data was collected retrospectively.
Results. Characteristics of the pre-and post-intervention groups are presented in Table 1. Five of 27 (18.5%) and 1 of 26 (3.8%) patients in the pre-and post-intervention point prevalence survey, respectively, were confirmed to be colonized with P. aeruginosa (Figure 2), corresponding to a prevalence rate ratio of 0.21 (0.03,1.66). If the two indeterminate samples in the pre-intervention period were positive, the prevalence rate ratio would instead be 0.15 (0.02,1.12). The most frequent P. aeruginosa strains identified by WGS from the patients and environment were 111, 308 and 446. At least 87% of rooms were colonized with P. aeruginosa from at least one WWD site, from pre-and post-intervention periods (Table 2). Conclusion. P. aeruginosa WWD colonization on our HM/HCT unit may predispose patients to colonization and BSI. The prevalence of patient colonization decreased following implementation of the interventions, despite persistent environmental colonization. We will follow the incidence of P. aeruginosa BSI to determine the long-term impact of these interventions.
Disclosures. Background. Wave one of the COVID-19 pandemic in Ontario, Canada, resulted in significant institutional outbreaks associated with high case fatality among older adults. Our hospital formally partnered with congregate care homes in north Toronto to support infection control and clinical management before wave two of the COVID-19 pandemic. Our aim was to evaluate the impact of this program on resident and healthcare worker (HCW) outcomes.

Methods.
A multicentre quasi-experimental study was conducted comparing outcomes between wave one (March-June, 2020) and wave two (October-December, 2020) among 17 congregate care homes (4 long term care homes and 13 residential homes). During wave two, weekly meetings and 42 on-site visits were conducted along with on-site daily hospital presence for all COVID-19 outbreaks to support infection control and resident management. The primary outcomes included COVID-19-case fatality rate as well as overall resident fatality including COVID-19 and non-COVID-19 related causes. Secondary outcomes included healthcare worker COVID-19 infections, and infection control practices among homes with paired audits (n=6), including hand hygiene, use of personal protective equipment, environmental cleaning and physical distancing practices.
Conclusion. Integration of hospital with community congregate care homes was associated with improvements in resident outcomes during wave two of the pandemic. Further longitudinal support and evaluation is needed to ensure sustainability.
Disclosures. Background. Ralstonia pickettii are aerobic non fermenter gram negative bacilli isolated in water and soil. It is related to nosocomial infection outbreaks and considered an opportunistic pathogen. There have been outbreaks reports due to contaminated water systems and sterile drug solutions which mainly occurs during manufacturing. We present the report of an outbreak of R. pickettii bacteremia secondary to a contamination of hydromorphone vials.
Methods. In February 2021 an outbreak of R. pickettii bacteremia was identified. All isolates were from blood cultures with slow growth, thus indicating the culturing of liquid inputs, intravenous administration solutions and commonly used drugs among patients including hydromorphone. Mass spectrometry (MALDI-TOF) was used for the identification and automated microdilution to determine sensitivity to antimicrobials of the isolates and clonality analysis of genetic relationships was carried out using the DICE coefficient, UPGMA algorithm Results. During the outbreak, 19 patients with R. pickettii bacteremia were identified The global attack rate was 1,9%. 11/19 (58%) were women and 13/19 (68%) of the isolations were from inward patients and 6/19 (32%) were from intensive care unit. Factors that could contribute to the appearance of the outbreak were underlying pathology, 2 patients with a diagnosis of diabetes mellitus, 10 patients with a diagnosis of arterial hypertension, 5 patients with obesity, 6 patients with heart disease, additionally 7 patients with a diagnosis of SARS COV 2 and 6 patients with the use of corticosteroids. The global attack rate was 1,9% and mortality was 31.5% (6 patients). R. pickettii was identified from two batches of hydromorphone by MALDI-TOF and the clonality study concluded that the isolates analyzed, were clonal with a 100% similarity. The associated mortality rate was 5/29 (26.3%).
Conclusion. We confirmed an outbreak of R. pickettii due to the contamination of two hydromorphone badges in Colombia. It is crucial to acknowledge the importance of infection control and surveillance during the COVID-19 pandemic as well as maintaining adequate quality control of medication production in order to avoid presenting this kind of outbreaks. Background. Newly identified multi-drug resistant organisms (MDRO) isolated from hospitalized patients with shared epidemiological characteristics can either represent transmission events or independent, unrelated acquisitions. Whole genome sequencing (WGS) can improve the efficiency of investigations triggered by MDRO cases with apparent epidemiological linkages by early exclusion of clonality. We report an implementation of WGS to investigate a cluster of methicillin-resistant Staphylococcus aureus (MRSA) and a cluster of carbapenem-resistant Enterobacterales (CRE) inpatient nosocomial infections.
Methods. Study participants included five Neonatal ICU (NICU) patients with nosocomial MRSA isolates recovered between June and August 2020, and two Respiratory Acute Care Unit (RACU) patients with nosocomial CRE infections in October 2020. Routine unit surveillance activities and characterization using standard epidemiologic criteria identified the isolates as nosocomial to their respective unit. The isolates then underwent WGS and single nucleotide polymorphism (SNP)-based relatedness analysis.
Results. The MRSA cluster included five neonates with either clinical or surveillance isolates. WGS identified one of the five isolates as methicillin susceptible S. aureus due to the absence of the mecA or mecC resistance gene, despite growth on chromogenic MRSA screening agar. WGS revealed each of the five isolates as belonging to a distinct multi locus sequence type (MLST) group with thousands of SNP differences between samples. The CRE cluster included two patients with Klebsiella pneumoniae isolated from clinical cultures within five days of each other with identical antimicrobial susceptibility profiles. WGS of the two isolates revealed that they belonged to different MLSTs and had tens of thousands of differing SNPs. WGS results suggest that a nosocomial transmission linking these infections was highly unlikely. For both investigations, WGS returned results within thirty-six hours of sample receipt. Background. Healthcare associated infections (HAIs) are a major contributor to patient morbidity and mortality worldwide. HAIs are increasingly important due to the rise of multidrug resistant pathogens which can lead to deadly nosocomial outbreaks. Current methods for investigating transmissions are slow, costly, or have poor detection resolution. A rapid, cost-effective and high-resolution method to identify transmission events is imperative to guide infection control. Whole genome sequencing of infecting pathogens paired with a single nucleotide polymorphism (SNP) analysis can provide high-resolution clonality determination, yet these methods typically have long turnaround times. Here we examined the utility of the Oxford Nanopore Technologies (ONT) platform, a rapid sequencing technology, for whole genome sequencing based transmission analysis.
Methods. We developed a SNP calling pipeline customized for ONT data, which exhibit higher sequencing error rates and can therefore be challenging for transmission