Severe COVID-19 among recent cancer (within three years of positive COVID-19 test; n = 6,143) and non-cancer patients (n = 41,545) who tested positive and have non-missing covariates. The results were from the model logit P(YSevereCOVID = 1|X, Cancer, Covariate) = β0 + βXX + βCancerCancer + βIntX × Cancer + βCovCovariate, where Covariate = Age + Race/Ethnicity + Sex + Disadvantage Index (quartile) + Comorbidity Score. Reference groups were age: 18 to 35, sex: female, BMI: 18.5 to 25, race: white/non-Hispanic, smoking status: never. A unit change in the continuous age variable is 10 years. The comorbidity score ranges from 0 to 6 and is the sum of indicators for presence of six categories of preexisting conditions in the electronic health record.
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Salvatore et al. (2024) studied this question.
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