Publication date: Feb 14, 2025
Viral mutations and immune dysfunction still lead to recurrent infections of COVID-19 in cancer patients. Our aim in this study was to explore the differences in cumulative risk of COVID-19 death from different cancer types and characterise clinical and demographic factors associated with COVID-19 death. We conducted a population-based study using the National Cancer Database, which included all cancer types. We calculated age-standardised mortality, cancer mortality, and COVID-19 mortality. Further, we employed a multivariate competing risk analysis to calculate the cumulative risk of COVID-19 death in different cancer types. 5. 3% of cancer patients suffered from COVID-19 death. The highest COVID-19 mortality was in chronic lymphocytic leukaemia, while lung and bronchus cancer exhibited lower risk. Notably, years from cancer diagnosis independently predict COVID-19 death. The hazard ratios (HR) in different types of cancers were as follows: lung and bronchus cancer HR = 1. 29 (95% confidence interval (CI) = 1. 20-1. 40, P
Concepts | Keywords |
---|---|
Cancers | Adult |
Competing | Aged |
Leukaemia | Aged, 80 and over |
Viral | COVID-19 |
Databases, Factual | |
Female | |
Humans | |
Male | |
Middle Aged | |
Neoplasms | |
Risk Factors | |
SARS-CoV-2 |
Semantics
Type | Source | Name |
---|---|---|
disease | MESH | COVID-19 |
disease | MESH | death |
disease | MESH | cancer |
disease | MESH | recurrent infections |
disease | MESH | Long Covid |