Outcomes in Hematopoietic Cell Transplant and Chimeric Antigen Receptor T Cell Therapy Recipients with Pre-Cellular Therapy SARS-CoV-2 Infection.

BACKGROUND: Hematopoietic cell transplant (HCT) or chimeric antigen receptor T cell (CAR-T) therapy recipients have high morbidity from severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. There are limited data on outcomes from SARS-CoV-2 infection shortly before cellular therapy and uncertainty whether to delay therapy. METHODS: We conducted a retrospective cohort study of patients with SARS-CoV-2 infection within 90 days prior to HCT or CAR-T therapy between January 2020 and November 2022. We characterized the kinetics of SARS-CoV-2 detection, clinical outcomes following cellular therapy, and impact on delays in cellular therapy. RESULTS: We identified 37 patients (n=15 allogeneic HCT, n=11 autologous HCT, n=11 CAR-T therapy) with SARS-CoV-2 infections within 90 days of cellular therapy. Most infections (73%) occurred between March and November 2022, when Omicron strains were prevalent. Most patients had asymptomatic (27%) or mild (68%) coronavirus disease 2019 (COVID-19). SARS-CoV-2 positivity lasted a median of 20.0 days [IQR, 12.5-26.25]. The median time from first positive SARS-CoV-2 test to cellular therapy was 45 days [IQR, 37.75-70]; one patient tested positive on the day of infusion. After cellular therapy, no patients had recrudescent SARS-CoV-2 infection or COVID-19-related complications. Cellular therapy delays related to SARS-CoV-2 infection occurred in 70% of patients for a median of 37 days. Delays were more common after allogeneic (73%) and autologous (91%) HCT compared to CAR-T cell therapy (45%). CONCLUSIONS: Patients with asymptomatic or mild COVID-19 may not require prolonged delays in cellular therapy in the context of contemporary circulating variants and availability of antiviral therapies.

Clinical outcomes and frequency of persistent infection among immunosuppressed patients treated with bebtelovimab for COVID-19 infection at an ambulatory cancer center.

BACKGROUND: There are limited data on clinical outcomes associated with the use of bebtelovimab for the treatment of coronavirus disease 2019 (COVID-19) among cancer patients. We aimed to define the clinical characteristics and outcomes among patients receiving bebtelovimab as part of the COVID-19 therapeutics program at our cancer center. METHODS: This is a retrospective cohort study of immunosuppressed adult patients who received bebtelovimab at Fred Hutchinson Cancer Center between March 2022, and November 2022. We reviewed medical records to capture the date of the first positive COVID-19 test, clinical characteristics, outcomes, and follow-up COVID-19 testing for 60 days after the first positive. Persistent infection was defined as a positive test beyond day 30; these patients were reviewed beyond day 60. RESULTS: Among 93 patients who received bebtelovimab, 64 (69%) had hematologic malignancy. Sixty-nine (74%) patients received bebtelovimab within 2 days after diagnosis. Two (2%) patients were hospitalized, none required ICU care, and one patient died on day 52; although it is unknown if death was directly related to COVID-19. Ten (11%) patients had persistent COVID-19 infection; of these, four received additional COVID-19 therapy with either nirmatrelvir/ritonavir or remdesivir, and five out of six patients with sequencing data available had spike protein mutations associated with bebtelovimab resistance. CONCLUSION: A coordinated systems-based approach led to prompt initiation of bebtelovimab within two days of testing positive in most patients. We observed few hospitalizations or deaths. Persistent infection was noted in 11% of patients with four requiring additional therapies, highlighting a need for novel strategies to manage immunosuppressed patients.

Fine-scale spatial and social patterns of SARS-CoV-2 transmission from identical pathogen sequences.

Pathogen genomics can provide insights into disease transmission patterns, but new methods are needed to handle modern large-scale pathogen genome datasets. Genetically proximal viruses indicate epidemiological linkage and are informative about transmission events. Here, we leverage pairs of identical sequences using 114,298 SARS-CoV-2 genomes collected via sentinel surveillance from March 2021 to December 2022 in Washington State, USA, with linked age and residence information to characterize fine-scale transmission. The location of pairs of identical sequences is highly consistent with expectations from mobility and social contact data. Outliers in the relationship between genetic and mobility data can be explained by SARS-CoV-2 transmission between postal codes with male prisons, consistent with transmission between prison facilities. Transmission patterns between age groups vary across spatial scales. Finally, we use the timing of sequence collection to understand the age groups driving transmission. This work improves our ability to characterize transmission from large pathogen genome datasets.