Association between BNT162b2 and CoronaVac vaccination and risk of CVD and mortality after COVID-19 infection: A population-based cohort study

Abstract

It is unknown if vaccination affects the risk of post-COVID-19 cardiovascular diseases (CVDs). Therefore, this retrospective cohort study examines the short-term and long-term risks of post-infection CVD among COVID-19 patients with different vaccination status utilizing data from electronic health databases in Hong Kong. Cox proportional hazards regression adjusted with inverse probability of treatment weighting is used to evaluate the risks of incident CVD (coronary heart disease, stroke, heart failure) and all-cause mortality in COVID-19 patients. Compared with unvaccinated patients, vaccinated patients have a lower risk of CVD and all-cause mortality, and the lowest risk is observed in those who completed three doses of vaccine. Similar patterns in the subgroups of different vaccine platforms, age, gender, Charlson comorbidity index, and disease severity are observed. These findings highlight a positive dose-response relationship between overall CVD risk reduction and the number of vaccine doses received.

Publication DOI: https://doi.org/10.1016/j.xcrm.2023.101195
Divisions: College of Health & Life Sciences > Aston Pharmacy School
Funding Information: This work was supported by funding from HMRF Research on COVID-19, The Hong Kong Special Administrative Region (HKSAR) Government (principal investigator, E.W.C.; ref. no. COVID1903011); Collaborative Research Fund, University Grants Committee, the HKSAR
Additional Information: Copyright © 2023 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/).
Uncontrolled Keywords: Humans,Cardiovascular Diseases/epidemiology,BNT162 Vaccine,Cohort Studies,Retrospective Studies,COVID-19/epidemiology,Vaccination
Publication ISSN: 2666-3791
Data Access Statement: The original code for the main analysis has been deposited on github (https://github.com/kcyan96/hope_vaccine_cvd) and is publicly available as of the date of publication. Any additional information required to reanalyze the data reported in this paper is available from the lead contact upon request.<br/><br/>The electronic health records, vaccination records and COVID-19 infection records datasets cannot be deposited in a public repository because these are confidential medical records and the data custodians (the Hospital Authority and the Department of Health of the Hong Kong Special Administrative Region) have not given permission for sharing due to patient confidentiality and privacy concerns. For access, please approach the lead contact to direct your request to the Hospital Authority’s data sharing portal. In addition, processed datasets derived from these data which were used in the analyses reported in this paper will be shared by the lead contact upon request. Any additional information required to reanalyze the data reported in this work paper is available from the lead contact upon request.
Last Modified: 06 Aug 2024 10:37
Date Deposited: 19 Jul 2024 17:16
Full Text Link:
Related URLs: https://www.sci ... 666379123003622 (Publisher URL)
PURE Output Type: Article
Published Date: 2023-10-17
Published Online Date: 2023-09-15
Accepted Date: 2023-08-22
Authors: Wan, Eric Yuk Fai
Mok, Anna Hoi Ying
Yan, Vincent Ka Chun
Chan, Cheyenne I. Ying
Wang, Boyuan
Lai, Francisco Tsz Tsun
Chui, Celine Sze Ling
Li, Xue
Wong, Carlos King Ho
Yiu, Kai Hang
Tse, Hung Fat
Lau, Chak Sing
Wong, Ian Chi Kei (ORCID Profile 0000-0001-8242-0014)
Chan, Esther Wai Yin

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