Abstract Background The COVID-19 pandemic has led to widespread implementation of public health measures, such as stay-at-home orders, social distancing, and masking mandates. In addition to decreasing spread of SARS-CoV2, these measures also impact the transmission of seasonal viral pathogens, which are common triggers of COPD exacerbations. Whether reduced viral prevalence mediates reduction in COPD exacerbation rates is unknown. Methods We performed retrospective analysis of data from a large, multicenter healthcare system to assess admission trends associated with community viral prevalence and with initiation of COVID-19 pandemic control measures. We applied difference-in-differences (DiD) analysis to compare season-matched weekly frequency of hospital admissions for COPD before and after implementation of public health measures for COVID-19. Community viral prevalence was estimated using regional Center for Disease Control and Prevention test positivity data and correlated to COPD admissions. Results Data involving 4,422 COPD admissions demonstrated a season-matched 53% decline in COPD admissions during COVID-19 pandemic, which correlated to community viral burden (r=0.73; 95% CI: 0.67 to 0.78) and represented a 36% greater decline over admission frequencies observed in other medical conditions less affected by respiratory viral infections (IRR, 0.64; 95% CI, 0.57 to 0.71, p<0.001). The post-COVID-19 decline in COPD admissions was most pronounced in patients with fewer comorbidities and without recurrent admissions. Conclusion The implementation of public health measures during the COVID-19 pandemic was associated with decreased COPD admissions. These changes are plausibly explained by reduced prevalence of seasonal respiratory viruses.
e13771 Background: The heterogeneity in health and functional ability among older patients makes the management of cancer a unique challenge. The Geriatric Oncology Program at the University of Maryland Baltimore Washington Medical Center (BWMC) was created to optimize cancer management and recommendations for older patients. This study aimed to assess the benefits of the implementation of such a program at a community- based academic cancer center. Materials and Methods: We retrospectively analyzed patients aged ≥80 years presenting to the Geriatric Oncology Program between January 2017 and July 2022. A multidisciplinary team of specialists collectively reviewed each patient using geriatric-specific domains and stratified each patient into one of three management groups- Group 1: those deemed fit to receive standard oncologic care (SOC); Group 2: those recommended to receive optimization services prior to reassessment for SOC; and Group 3: those deemed to be best suited for supportive care and/ or hospice care. ANOVA, chi-square, and Kaplan-Meier analyses were used to assess patient outcomes. Results: Among 233 patients included, 76 (32.6%) received SOC (Group 1), 43 (18.5%) were optimized (Group 2), and 114 (49.0%) received supportive care or hospice referral (Group 3). There was no significant difference in sex, race, or age among all three groups. The Canadian Study of Health and Aging-Clinical Frailty Scale (CSHA-CFS) score was implemented in 2019 (n=90). Patients receiving supportive/ hospice care only had an average score of 5.8, while the averages for those in the optimization and SOC groups were 4.6 and 4.1, respectively (p=< .001). SOC patients had the longest average survival of 2.71 years compared to the optimization (2.30 years) and supportive care groups (0.93 years) (p= <0.001). 69.8% of optimized patients were deemed fit for SOC upon re-evaluation following optimization services. For all patients that underwent surgical interventions, post- operatively, 23 patients (85%) were discharged home and 4 (15%) were discharged to a rehab facility. The average survival after surgery for all patients was 3.16 years, while patients who were optimized prior to surgery had an average survival after surgery of 3.21 years. Conclusions: The present study demonstrates the need for specialized consideration of the heterogeneity that cancer diagnoses present in older individuals. The Geriatric Oncology Program at BWMC is able to maximize treatment outcomes for geriatric patients through the provision of SOC therapies and optimization services, while also minimizing unnecessary interventions on an individual patient-centric level.
