Sixiu Wang, Yan Zhu, Tao Chen, Chunying Lin, Liming Chen, Yongdong Niu, Congzhu Li
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引用次数: 0
Abstract
Introduction
Tumor patients take a high risk of SARS-CoV-2 infection, high incidence of serious events, poor prognosis and high mortality in the coronavirus disease 2019 (COVID-19) epidemic, but there is still lack of supporting evidence that the COVID-19 vaccination is beneficial for tumor patients to encourage them to receive the vaccination.
Methods
A cross-sectional study was conducted in Shantou, China and questionnaires were collected in the hospitals from February 13, 2023 to April 23, 2023. Using the receiving of COVID-19 vaccination as the primary outcome, descriptive, univariate and multivariate analyses were generated.
Results
161 out of 241 patients (66.80%) had received at least one dose of COVID-19 vaccine and 61.00% patients had been infected with SARS-CoV-2. Patients with general symptoms (p = 0.013) and others (p = 0.022) had a higher proportion of nonvaccinated patients than vaccinated ones. In the multivariate analysis, age (aOR = 0.971, 95% CI = 0.946–0.997, p = 0.031), the cognition of vaccines' impact on tumor treatment (aOR = 4.475, 95% CI = 1.772–11.299, p = 0.002), time since tumor diagnosis (aOR = 4.586, 95% CI = 2.122–9.909, p < 0.001) were identified as factors of COVID-19 vaccination uptake.
Conclusion
COVID-19 vaccination in China offers numerous advantages for tumor patients, helping to alleviate symptoms following infection and potentially decreasing the chances of tumor metastasis and recurrence.
期刊介绍:
Immunity, Inflammation and Disease is a peer-reviewed, open access, interdisciplinary journal providing rapid publication of research across the broad field of immunology. Immunity, Inflammation and Disease gives rapid consideration to papers in all areas of clinical and basic research. The journal is indexed in Medline and the Science Citation Index Expanded (part of Web of Science), among others. It welcomes original work that enhances the understanding of immunology in areas including:
• cellular and molecular immunology
• clinical immunology
• allergy
• immunochemistry
• immunogenetics
• immune signalling
• immune development
• imaging
• mathematical modelling
• autoimmunity
• transplantation immunology
• cancer immunology