Infection with alternate frequencies of SARS-CoV-2 vaccine boosting for patients undergoing antineoplastic cancer treatments
Year: 2023
Type: article
Abstract: Patients undergoing antineoplastic therapies often exhibit reduced immune response to COVID-19 vaccination, necessitating assessment of alternate booster vaccination frequencies. However, data on reinfection risks to guide clinical decision making are limited. Here, we quantified reinfection risks for patients undergoing distinct antineoplastic therapies, given alternative frequencies of boosting with Pfizer-BioNTech BNT162b2. Integrating antibody data following vaccination with long-term antibody data from other coronaviruses in an evolutionary framework, we estimated infection probabilities based on antibody levels and calculated cumulative probabilities of breakthrough infection for alternate booster schedules over 2 years. Annual boosting reduced risks for targeted or hormonal treatments, immunotherapy, and chemotherapy-immunotherapy combinations similarly to the general population. Patients receiving no treatment or chemotherapy exhibited higher risks, suggesting that accelerated vaccination schedules should be considered. Patients treated with rituximab therapy presented the highest infection risk, suggesting that a combination of frequent boosting and additional interventions may be warranted for mitigating SARS-CoV-2 infection.
DOI: 10.1093/jnci/djad158
Language: English
Subfield: Infectious Diseases
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $4,978
Awards: G1044130170, RAPID: Analyses of polymorphism and divergence to illuminate molecular evolution permissive of zoonoses in SARS and COVID-19, STOCHASTIC ECONOMIC MODELS OF POVERTY, JOB SEARCH AND RACIAL DISCRIMINATION, Expeditions: Collaborative Research: Global Pervasive Computational Epidemiology, Yale Clinical and Translational Science Award
OpenAlex ID: W4386019485
