Post-COVID-19 multimorbidity incidence by prior vaccination status in people with a pre-existing comorbidity: A population-based cohort study

Abstract

Background Long-term health consequences of COVID-19, particularly among individuals with pre-existing chronic diseases, are not fully understood. This study investigates whether SARS-CoV-2 infection increases the risk of developing multimorbidity (≥2 chronic conditions) and evaluates protective effects of vaccination. Methods We analyzed territory-wide electronic health records from Hong Kong, linking Hospital Authority data with COVID-19 infection and vaccination records from the Department of Health. A retrospective matched-cohort study was conducted among patients with one pre-existing chronic condition. Participants were stratified into three groups: (1) no documented COVID-19 infection, (2) COVID-19 infection with incomplete vaccination (<3 doses), and (3) COVID-19 infection with full vaccination (≥3 doses). The primary outcome was the incidence of a second chronic condition from a pre-specified list. Results Among 1,038,175 eligible individuals, 68,975 (6.64%) developed multimorbidity over a median follow-up of 192 days (IQR: 96–313). The non-COVID-19 group (51,288 cases) had an incidence rate of 68.88 per 1,000 person-years (95% CI: 68.18–69.37). In contrast, the COVID-19/unvaccinated group (9,455 cases) exhibited a significantly higher rate (86.58; 95% CI: 84.85–88.35). The COVID-19/vaccinated group (8,232 cases) showed a moderated rate (72.84; 95% CI: 71.27–74.43). Adjusted incidence rate ratios were 1.26 (95% CI: 1.23–1.29) for unvaccinated and 1.08 (95% CI: 1.05–1.11) for vaccinated individuals compared to the non-COVID-19 group. Results remained consistent across age, sex, and comorbidity subgroups. Interpretation COVID-19 infection is associated with an increased risk of multimorbidity in patients with pre-existing conditions. Full vaccination attenuates this risk substantially, highlighting its critical role in mitigating post-infection complications.

Publication DOI: https://doi.org/10.1016/j.jinf.2025.106597
Divisions: College of Health & Life Sciences > Aston Pharmacy School
College of Health & Life Sciences
Aston University (General)
Funding Information: This study received support from the Health Bureau, The Government of the Hong Kong Special Administrative Region through the Health and Medical Research Fund (Ref. No. COVID19F01 and 22211202) and the Collaborative Research Fund, University Grants Commit
Additional Information: Copyright © 2025 The Author(s). Published by Elsevier Ltd on behalf of The British Infection Association. This is an open access article distributed under the terms of the Creative Commons CC-BY license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. You are not required to obtain permission to reuse this article.
Publication ISSN: 1532-2742
Last Modified: 28 Aug 2025 11:29
Date Deposited: 27 Aug 2025 15:20
Full Text Link:
Related URLs: https://www.jou ... 0197-5/fulltext (Publisher URL)
PURE Output Type: Article
Published Date: 2025-08-21
Published Online Date: 2025-08-21
Accepted Date: 2025-08-13
Authors: Liu, Boyan
Song, Song
Liu, Wenlong
Hu, Yuqi
Wei, Cuiling
Zhou, Lingyue
Sun, Qi
Tian, Wenxin
Chu, Rachel Yui Ki
Wong, Ian Chi Kei (ORCID Profile 0000-0001-8242-0014)
Hung, Ivan Fan Ngai
Wan, Eric Yuk Fai
Li, Xue
Chui, Celine Sze Ling
Chan, Esther Wai Yin
Wong, Carlos King Ho
Lai, Francisco Tsz Tsun

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