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.
| Original language | English |
|---|---|
| Article number | 101195 |
| Number of pages | 12 |
| Journal | Cell Reports Medicine |
| Volume | 4 |
| Issue number | 10 |
| Early online date | 15 Sept 2023 |
| DOIs | |
| Publication status | Published - 17 Oct 2023 |
Bibliographical note
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/).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.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.
Funding
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 Government (principal investigator, I.C.K.W.; ref. no. C7154-20GF); and a research grant from the Health Bureau, the HKSAR Government (principal investigator, I.C.K.W.; ref. no. COVID19F01). I.C.K.W. and F.T.T.L. are partially supported by the Laboratory of Data Discovery for Health (D24H) funded by the AIR@InnoHK administered by Innovation and Technology Commission.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Humans
- Cardiovascular Diseases/epidemiology
- BNT162 Vaccine
- Cohort Studies
- Retrospective Studies
- COVID-19/epidemiology
- Vaccination
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