COVID-19 vaccine uptake trends in SARS-CoV-2 previously infected cancer patients.

Purpose: Cancer patients are at high risk of developing severe illness from SARS-CoV-2 infection, but risk is lowered with receipt of COVID-19 vaccine. COVID-19 vaccination uptake among previously infected cancer patients may be influenced by an assumption of natural immunity, predicted weak immune response, or concerns about vaccine safety. The objective of this study was to evaluate COVID-19 vaccine uptake trends in cancer patients previously infected with SARS-CoV-2. Materials and Methods: Medical records of 579 sequential cancer patients undergoing active treatment at Levine Cancer Institute who tested positive for COVID-19 between January 2020 and January 2021 were evaluated. Patients who died prior to vaccine eligibility were excluded from the analysis. Demographic, clinical, and COVID-19 related characteristics were analyzed to identify prognostic factors for COVID-19 vaccine uptake as this information could be important for health policy design for future pandemics. Results: Eighty-one patients died prior to the availability of COVID-19 vaccines. The acceptance rate of COVID-19 vaccination among 498 previously infected cancer patients was 54.6%. Of the patients with known vaccination dates, 76.8% received their first vaccine by April 17th, 2021. As of November 30, 2021, 23.7.% of eligible patients were boosted. In univariate models, older age, female sex, higher income, solid tumor cancer type, and hormone therapy were significantly associated with higher vaccine uptake, while Hispanic/Latino ethnicity was significantly associated with lower vaccine uptake. In a multivariable model, age (OR 1.18, 95% CI 1.10-1.28; p < 0.001), female sex (OR 1.80, 95% CI 1.22-2.66; p = 0.003), and higher income (OR 1.11, 95% CI 1.01-1.22; p = 0.032), were predictive of COVID-19 vaccine uptake. Conclusions: Overall, vaccine uptake was low among our cohort of previously infected cancer patients. Older age, female sex, and higher income were the only variables associated with COVID-19 vaccine uptake within this vulnerable patient population.

Changes Over Time in COVID-19 Severity and Mortality in Patients Undergoing Cancer Treatment in the United States: Initial Report From the ASCO Registry.

PURPOSE: People with cancer are at increased risk for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. ASCO's COVID-19 registry promotes systematic data collection across US oncology practices. METHODS: Participating practices enter data on patients with SARS-CoV-2 infection in cancer treatment. In this analysis, we focus on all patients with hematologic or regional or metastatic solid tumor malignancies. Primary outcomes are 30- and 90-day mortality rates and change over time. RESULTS: Thirty-eight practices provided data for 453 patients from April to October 2020. Sixty-two percent had regional or metastatic solid tumors. Median age was 64 years. Forty-three percent were current or previous cigarette users. Patients with B-cell malignancies age 61-70 years had twice mortality risk (hazard ratio = 2.1 [95% CI, 1.3 to 3.3]) and those age > 70 years had 4.5 times mortality risk (95% CI, 1.8 to 11.1) compared with patients age ≤ 60 years. Association between survival and age was not significant in patients with metastatic solid tumors (P = .12). Tobacco users had 30-day mortality estimate of 21% compared with 11% for never users (log-rank P = .005). Patients diagnosed with SARS-CoV-2 before June 2020 had 30-day mortality rate of 20% (95% CI, 14% to 25%) compared with 13% (8% to 18%) for those diagnosed in or after June 2020 (P = .08). The 90-day mortality rate for pre-June patients was 28% (21% to 34%) compared with 21% (13% to 28%; P = .20). CONCLUSION: Older patients with B-cell malignancies were at increased risk for death (unlike older patients with metastatic solid tumors), as were all patients with cancer who smoke tobacco. Diagnosis of SARS-CoV-2 later in 2020 was associated with more favorable 30- and 90-day mortality, likely related to more asymptomatic cases and improved clinical management.

Implementation, adherence, and results of systematic SARS-CoV-2 testing for asymptomatic patients treated at a tertiary care regional radiation oncology network.

BACKGROUND: Coronavirus disease 2019 (COVID-19) caused by the SARS-CoV-2 virus is a current pandemic. We initiated a program of systematic SARS-CoV-2 polymerase chain reaction (PCR) testing in all asymptomatic patients receiving radiotherapy (RT) at a large radiation oncology network in the Charlotte, NC metropolitan region and report adherence and results of the testing program. METHODS: Patients undergoing simulation for RT between May 18, 2020 and July 10, 2020 within the Levine Cancer Institute radiation oncology network who were asymptomatic for COVID-19 associated symptoms, without previous positive SARS-CoV-2 testing, and without recent high-risk contacts were included. PCR testing was performed on nasal cavity or nasopharyngeal swab samples. Testing was performed within 2 weeks of RT start (pre-RT) and at least every 4 weeks during RT for patients with prolonged RT courses (intra-RT). An automated task based process using the oncology electronic medical record (EMR) was developed specifically for this purpose. RESULTS: A total of 604 unique patients were included in the cohort. Details on testing workflow and implementation are described herein. Pre-RT PCR testing was performed in 573 (94.9%) patients, of which 4 (0.7%) were positive. The adherence rate to intra-RT testing overall was 91.6%. Four additional patients (0.7%) tested positive during their RT course, of whom 3 were tested due to symptom development and 1 was asymptomatic and identified via systematic testing. A total of 8 (1.3%) patients tested positive overall. There were no known cases of SARS-CoV-2 transmission from infected patients to clinic staff and/or other patients. CONCLUSIONS: We detailed the workflows used to implement systematic SARS-CoV-2 for asymptomatic patients at a large radiation oncology network. Adherence rates for pre-RT and intra-RT testing were high using this process. This information allowed for appropriate delay in initiating RT, minimizing the occurrence of RT treatment interruptions, and no known cases of transmission from infected patients to clinic staff and/or other patients.