Outcomes of acute pulmonary embolism in hospitalized patients with cancer

Background Cancer-associated pulmonary embolism (PE) places a significant burden on patients and health care systems. Methods A retrospective cross-sectional analysis of the National Inpatient Sample (NIS) database was performed in patients with acute PE from 2002 to 2014. Among patients hospitalized with PE, we investigated the differences in clinical outcomes and healthcare utilization in patients with and without cancer. A multivariate logistic regression model was applied to calculate adjusted odds ratios (OR) to estimate the impact of cancer on clinical outcomes. Wilcoxon rank sum tests were used to determine the differences in healthcare utilization between the two cohorts. Results Among 3,313,044 patients who were discharged with a diagnosis of acute PE, 84.2% did not have cancer, while 15.8% had cancer as a comorbidity (56% metastatic cancer, 35% solid tumor without metastasis, and 9% lymphoma). Patients with cancer had a higher mean age but lower rates of common comorbidities except for coagulation deficiency than patients without a cancer diagnosis. In patients with cancer, the rate of IVC filter placement was higher (21.7% vs. 13.11%, OR 1.76 (95% CI 1.73–1.79); p < 0.0001) and thrombolytic use lower (1.34% vs. 2.15%, OR 0.68 (95% CI 0.64–0.72); p < 0.0001). Patients with cancer hospitalized for PE had a higher all-cause in-hospital mortality (11.8% vs. 6.6%, OR 1.79 (95% CI 1.75–1.83); p < 0.0001), longer length of stay (6 vs. 5 days; p < 0.0001), higher total charge per hospitalization ($30,885 vs. $27,273; p < 0.0001), and higher rates of home health services upon discharge (35.8% vs. 23.2%; p < 0.0001) compared with those without cancer. Conclusion Concurrent cancer diagnosis in patients hospitalized for acute PE was associated with a 90% increase in all-cause mortality, longer length of stay, higher total charge per hospitalization, and higher rates of home health services upon discharge. The majority (56%) of patients with cancer had metastatic disease. Furthermore, there were identifiable differences in the intervention for acute PE between the two groups.

Influences of Prejudice and Stereotyping in the Direct Care Workforce

Direct Care Workers (DCW; nursing assistants, personal care aides, home health aides) have the most one on one care with sexual and gender minority (SGM) older adults who reside in residential care facilities or use home health services. DCWs make up a vast majority of the healthcare workforce, holding almost five million jobs in 2019, with approximately 70% of the positions held being in residential care facilities. In a qualitative design study, 11 DCWs were interviewed using an open-ended, semi-structured format to describe their perceptions of care provided to SGM older adults in residential care facilities and the home health setting. These results were part of a larger qualitative study which found there were cues of stereotyping and prejudice in DCW narratives toward SGM older adults. The category DCWs’ care and social system referred to characteristics of the DCWs’ work environment and the perspectives, attitudes, and reported care toward SGM older adults and diverse populations. It was determined that there are synergies among SGM older adults’ care and DCW along with DCW workforce issues (short staffed, low wages, lack of health benefits) that may prevent the DCW from being accepting of implicit bias training or culture change within these facilities/agencies. Implications for practice, policy, and future research are discussed.

188. Visualizing the Impact of a Wedding Leading to COVID-19 Outbreaks in Healthcare Settings, Washington State, July – August 2020

Background Large social gatherings during the COVID-19 pandemic have been linked to extensive community transmission. Healthcare workers (HCW) that engage in these social gatherings pose a risk to the vulnerable patients they serve. Public Health—Seattle & King County identified a COVID-19 outbreak associated with a wedding in July 2020 when the 14-day incidence rate was 105 cases per 100,000 residents. HCW who attended the wedding were subsequently linked to 45 outbreaks in healthcare settings across three counties in the next month. Methods COVID-19 case interview data was used to identify HCW cases who reported the wedding as their exposure event. The Washington Disease Reporting System (WDRS), the state database in which COVID-19 cases and epi-linkages are tracked, was queried to identify healthcare outbreaks linked to the HCW wedding-attendee cases and the HCW that they infected. NodeXL was used to visualize the resulting chains of wedding-associated healthcare transmission using a Harel-Koren Fast Multiscale layout where the network visualization’s directed arrows represent putative links and direction of transmission. Numbers of associated settings, cases, and deaths were calculated. Results Seven HCW wedding attendees were linked to outbreaks in healthcare facilities that they worked at while infectious; HCWs linked to as many as six subsequent healthcare outbreaks. In total, the wedding was connected to 45 healthcare facilities: adult family homes (N=1), hospitals (N=1), supported living agencies (N=7) and associated group homes (N=38), assisted living (N=1), home health services (N=1), behavioral health (N=2), and rehab centers (N=1). Across the settings, 277 cases were identified, including 15 deaths. Conclusion A series of COVID-19 healthcare outbreaks was traced back to a wedding. Cases worked in multiple homes, agencies, and other healthcare settings which likely facilitated rapid and wide transmission; the structure of these healthcare settings often do not facilitate a single job providing enough hours and income to support an individual. In terms of public health learnings, addressing these outbreaks require effective contact tracing, multijurisdictional coordination, and for supported living, interventions need to be applied across households sharing staff. Disclosures All Authors: No reported disclosures

Lengths of Stay and Discharge Dispositions after Total Knee Arthroplasty: A Comparison of Robotic-Assisted and Manual Techniques

As evidence signifies that short-stay total knee arthroplasties (TKA) can be safe options, it is important to identify factors that contribute to early discharge. There is evidence that robotic-assisted TKAs may lead to shorter lengths of postoperative stays. However, this has not been evaluated as the primary outcome of interest in a large-scale population. The purpose of this study was to compare manual and robotic-assisted TKAs with regard to: (1) length of stay (LOS) and (2) discharge dispositions. TKAs performed between January 1, 2018, to March 31, 2019, were identified. After applying inclusion and exclusion criteria, a total of 10,296 patients were included: 5,993 in the manual and 4,303 in the robotic-assisted group. Length of stay, discharge dispositions, and Charlson comorbidity indices (CCIs) were recorded for all patients. The mean LOS was significantly lower in robotic-assisted (1.68 ± 0.86 days) compared with manual (1.86 ± 0.94 days) TKA procedures (p < 0.00001). In the robotic-assisted group, 2,049 (47.6%) were discharged in 1 day or less compared with 2,325 (38.8%) in the manual group (p < 0.0001). The proportion discharged home was significantly higher for patients who underwent robotic-assisted (91.3%) compared with manual (87.4%) TKAs (p < 0.00001). When comparing only patients who were discharged home and who did not have home health services, the rate was 51.8% in the robotic-assisted group compared with 44.0% in the manual group (p < 0.00001). The mean CCI was similar for patients who underwent robotic-assisted (2.9 ± 1.4 points) compared with manual (3.0 ± 1.5 points) TKAs. There was a trend toward shorter mean LOS for robotic-assisted versus manual TKA at 17 of the 24 included hospital sites (70.8%). Compared with manual, robotic-assisted TKAs demonstrated shorter lengths of postoperative stays and less need for skilled care after discharge. These results suggest the health care burden resulting from an upsurge of TKA procedures in our aging population might be addressed in part by increased utilization of robotic assistance.