Underuse of SARS-CoV-2-Neutralizing Monoclonal Antibodies in Skilled Nursing Facilities.

OBJECTIVE: Little is known about deployment of SARS-CoV-2-neutralizing monoclonal antibodies (mab) in skilled nursing facilities (SNFs), a high-risk population for COVID-19-related complications. We assessed the utilization of mabs in SNFs and identified facility characteristics associated with effective use. DESIGN: Retrospective cohort study assessing the correlation of SNF characteristics with increasing mab use. SETTING AND PARTICIPANTS: United States SNFs participating in Project ECHO (Extensions for Community Health Outcomes). METHODS: The primary outcome was percentage of total mabs per COVID-19 cases in SNFs. Facilities were divided into 3 groups based on the percentage of the administration of mabs per number of cases: 0%, >0% to 20%, >20%. Ordinal logistic regression was applied to assess whether facility characteristics-study group, state, location, type, size, rating at baseline, weekly average of residents vaccinated, weekly average of staff vaccinated, and total weeks short staffed-correlated with the primary outcome. A multivariable model was used to evaluate the independent effect of predictors. RESULTS: A total of 130 facilities were included. Between the weeks ending on May 30, 2021, and on May 29, 2022, mean mab use when accounting for the number of COVID-19 cases was 12.96% (±26.71%) and >50% of facilities administered 0 doses of mabs. Facility location was associated with mab use (P value .030), with micropolitan facilities having the highest percentage of facilities administering mabs (30.4% in >0% to 20%, and 39.1% in >20%, respectively). There was a nonsignificant trend toward increased mab use in facilities reporting fewer staffing shortages. When the multivariable ordinal logistic regression model was applied, location in a micropolitan vs metropolitan area was associated with higher odds [3.29 (1.30, 8.32), P value .012] of increasing percentage total mabs per cases. CONCLUSIONS AND IMPLICATIONS: COVID-19 mabs were underutilized in a high-risk population for COVID-19 hospitalization and death. Understanding the barriers to effective distribution is critical in shaping pandemic preparedness efforts for the future.

Accelerating guideline dissemination in nursing homes during the COVID-19 pandemic: A patient-centered randomized controlled trial.

BACKGROUND: Nursing homes were ill-equipped for the pandemic; though facilities are required to have infection control staff, only 3% have taken a basic infection control course. Little is known about the implementation of effective practices outside of the acute care setting. We proposed an intervention utilizing Project ECHO, to connect Penn State University experts with nursing home staff and administrators to explore how infection control guidelines can be implemented effectively. METHODS: A stratified cluster randomized design was used to assign nursing homes to either AHRQ-funded COVID-19 ECHO or AHRQ-funded COVID-19 ECHO+. RESULTS: 136 nursing homes participated. There were no significant differences in COVID-19 infection rate, hospitalization, deaths, or influenza, between ECHO or ECHO+. DISCUSSION: The ECHO model has significant strengths when compared to traditional training, as it allows for remote learning delivered by a multidisciplinary team of experts and utilizes case discussions that match the context of nursing homes.

Aging in COVID-19: Vulnerability, immunity and intervention.

The severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) pandemic was first reported in Wuhan, China in December 2019, moved across the globe at an unprecedented speed, and is having a profound and yet still unfolding health and socioeconomic impacts. SARS-CoV-2, a ß-coronavirus, is a highly contagious respiratory pathogen that causes a disease that has been termed the 2019 coronavirus disease (COVID-19). Clinical experience thus far indicates that COVID-19 is highly heterogeneous, ranging from being asymptomatic and mild to severe and causing death. Host factors including age, sex, and comorbid conditions are key determinants of disease severity and progression. Aging itself is a prominent risk factor for severe disease and death from COVID-19. We hypothesize that age-related decline and dysregulation of immune function, i.e., immunosenescence and inflammaging play a major role in contributing to heightened vulnerability to severe COVID-19 outcomes in older adults. Much remains to be learned about the immune responses to SARS-CoV-2 infection. We need to begin partitioning all immunological outcome data by age to better understand disease heterogeneity and aging. Such knowledge is critical not only for understanding of COVID-19 pathogenesis but also for COVID-19 vaccine development.