Device utilization, while primarily a process-based measure in the prevention of device-associated infections can also serve as an important outcome in the evaluation of an infection prevention program. Device utilization can be an important and resource-efficient measurement when coupled with measurements of risk-adjusted infection rates. The measurement of the device utilization ratio can provide insight into the risk of device-associated harms, including non-infectious harms, which would not be captured with currently used infection-based surveillance metrics. Further study and validation of standardized, risk-adjusted device utilization measurements is an important area for future exploration.
Background Previous scoring systems have been proposed to predict COVID19 outcomes, however none have been universally adopted. Two scoring systems of interest are Monoclonal Antibody Screening Score (MASS) and Oral Antiviral and Monoclonal Antibody Screening Score (OMASS). MASS prioritized patients for outpatient monoclonal antibody treatment based on risk of hospitalization, and OMASS was a modified version of MASS used to prioritize outpatient oral antivirals. We created a modified scoring system (UCH2021) incorporating vaccination status. These scores (table 1) have not been used to predict in-hospital clinical outcomes. We investigate these systems’ abilities to predict mortality and oxygen requirements in hospitalized COVID19 patients. They do not require blood tests and allow for more rapid triage. Table 1:MASS, OMASS, UCH2021 Scoring Criteria Methods A retrospective chart review was performed on 133 patients in two tertiary care centers between March and Sept. 2020 with RT-PCR confirmed SARS CoV2. Baseline risk factors were collected and MASS, OMASS, and UCH2021 were calculated. Primary outcomes included mortality, need for intubation, and need for supplemental oxygen >6L during hospitalization. Secondary analysis assessed if any individual risk factors were associated with those outcomes. These systems were evaluated via area under the curve calculations. Two groups based on an outcome were compared using two-sample t-tests for continuous variables and Fisher’s exact tests for categorical variables. Results All three systems demonstrated some discriminative power for mortality (table 2), but not for oxygen and intubation requirements. There was statistically significant difference in age between survivors and deceased (table 3), and BMI for oxygen requirements (table 4). Other risk factors were not predictive of mortality or oxygen requirement. Table 2:MASS, OMASS, UCH2021 Scores and Mortality in Hospitalized COVID19 PatientsTable 3:Age and Mortality in Hospitalized COVID19 PatientsTable 4:BMI and Oxygen Requirements in Hospitalized COVID19 Patients Conclusion The MASS, OMASS, and UCH2021 score all had predictive power in determining in-hospital mortality, with moderate accuracy, however none were predictive of oxygen requirements. Age and BMI were also good predictors of mortality and oxygen requirements respectively. This study was completed prior to vaccine distribution in the US. Further studies would be helpful to assess if UCH2021 score has greater discriminative power in samples with vaccinated patients. Disclosures All Authors: No reported disclosures.
Background Antimicrobial stewardship programs (ASP) have been essential during the coronavirus disease 2019 (COVID-19) pandemic response. Use of monoclonal antibodies for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has proven difficult to operationalize, despite being available through emergency use authorization (EUA). Utilizing existing ASP and multidisciplinary approach to lead the effort, we aim to describe our experience in operationalizing monoclonal antibody therapy. Methods Retrospective study of SARS-CoV-2 infected adults receiving monoclonal antibody therapy under EUA (December 2020-April 2021). An algorithm developed by the ASP provided education and an interactive online tool allowing referring physicians and patients to assess eligibility prior to hospital arrival. Patients were screened and approved by existing ASP which included; Infectious Disease (ID) physicians, pharmacist, and ID Nurse. A multidisciplinary approach with ER staff and development of pharmacy workflow with order set were utilized as eligible patients received infusion in dedicated ER location. Data such as demographics, co-morbid condition, infusion related complications, hospitalization, and death were reviewed and collected regularly by the ASP team with frequent monitoring and regulatory reporting. Primary patient outcome was preventing hospitalization. Results 107 patients received monoclonal antibody therapy. 47% patients were male, 50% White, and 79% non-Hispanic. 87% received monotherapy (bamlanivimab) and 13% received dual therapy (bamlanivimab/etesevimab). 17 patients required hospitalization post infusion. 1 death occurred. COVID-19 related hospitalization within 30-days was avoided in 84% of treated patients. No adverse event directly related to infusion were seen. Conclusion Use of monoclonal antibody therapy under EUA for patients for SARS-CoV-2 infection led to decrease in hospitalization in this cohort. An existing ASP using an algorithmic approval process, frequent monitoring, and multidisciplinary approach successfully operationalized the use of monoclonal antibody therapy. ASP’s provide benefit and versatility beyond monitoring of antimicrobials alone and should continue to receive support by hospital leadership. Disclosures All Authors: No reported disclosures
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