RESUMO
Background: We sought to describe factors associated with treatment delay among cancer patients with COVID-19. Methods: We conducted a retrospective analysis of de-identified data from the ASCO COVID-19 Cancer Data Registry, a longitudinal cohort study launched in April 2020 with 60 community and academic practices. We evaluated all patients who were documented as having therapy (anticancer drug therapy, surgery or radiation therapy) scheduled at the time of entry into the registry due to a positive SARS-CoV-2 test result. Treatment delay were defined based on length of delay: on schedule or within 14 days, and delay > 14 days or discontinued entirely. The latter is defined as “delay in care”. We used univariate and multivariate logistic analyses to address these questions. Results: At the time of data analysis, 3028 patients were included in the registry, of which 2103 had scheduled drug therapy, 125 had scheduled surgery, and 202 had scheduled radiation. 46% of patients had a drug delay or discontinuation of care. A multivariable logistic regression found that delays were higher among Black patients relative to white patients (OR 1.73, 95%CI 1.27, 2.35), and Hispanic or Latino patients compared to non-Hispanic or Latino patients (OR 1.95, 95%CI 1.36, 2.80). Compared with patients with 0-1 comorbidities, having 2 or more comorbidities was associated with delay in treatment (OR 1.26, 95%CI 1.01, 1.56). Having metastatic disease, rather than local or regional disease (OR 1.61, 95%CI 1.28, 2.04), and having any COVID-19 complications compared to none (OR 1.49, 95%CI 1.22, 1.83) were associated with delay. Relative to the initial outbreak of the pandemic from March-June 2020, having a COVID-19 diagnosis later in the pandemic was associated with lower likelihood of delay (OR 0.45, 95%CI 0.26, 0.74). 47% (95/202) of patients had a radiation delay or discontinuation of care. Factors associated with radiation delay included having 2 or more comorbidities (OR 2.78, 95%CI 1.22, 6.53). 71% (89/125) of patients had a surgical delay or discontinuation care. Factors associated with surgical delay included female sex (OR 6.05, 95%CI 1.34, 34.6), being in the South compared with being in the Midwest (OR 9.00, 95%CI 1.97, 49.0). Counter-intuitively, having 2 or more comorbidities was associated with a lower likelihood of delay (OR 0.27, 95%CI 0.09, 0.90). Being diagnosed with COVID-19 in July-Sept 2020 was associated with lower likelihood of delay (OR 0.07, 95%CI 0.01, 0.49). Conclusions: Previous data has shown persistent disparities in COVID-19-related outcomes in subgroups of disadvantaged and minority patients and populations. Data from our study shows that another disparity borne of treatment delays for chronic disease in the setting of a positive SARS-CoV2 test may also contribute to overall poor outcomes in these vulnerable populations.