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

  • Boyan Liu
  • , Song Song*
  • , Wenlong Liu
  • , Yuqi Hu
  • , Cuiling Wei
  • , Lingyue Zhou
  • , Qi Sun
  • , Wenxin Tian
  • , Rachel Yui Ki Chu
  • , Ian Chi Kei Wong
  • , Ivan Fan Ngai Hung
  • , Eric Yuk Fai Wan
  • , Xue Li
  • , Celine Sze Ling Chui
  • , Esther Wai Yin Chan
  • , Carlos King Ho Wong
  • , Francisco Tsz Tsun Lai*
  • *Corresponding author for this work
  • Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China.
  • Laboratory of Data Discovery for Health
  • Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China.
  • Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China.
  • School of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China.
  • The University of Hong Kong, Shenzhen Institute of Research and Innovation, Shenzhen, China.
  • Department of Infectious Disease Epidemiology and Dynamics, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine

Research output: Contribution to journal › Article › peer-review

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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 1000 person-years (95% CI: 68.18–69.37). In contrast, the COVID-19/unvaccinated group (9455 cases) exhibited a significantly higher rate (86.58; 95% CI: 84.85–88.35). The COVID-19/vaccinated group (8232 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.

Original languageEnglish
Article number106597
Number of pages8
JournalJournal of Infection
Volume91
Issue number3
Early online date21 Aug 2025
DOIs
Publication statusPublished - Sept 2025

Bibliographical note

Copyright © 2025 The Author(s). Published by Elsevier Ltd on behalf of The British Infection Association. This is an open access article under the CC BY license (https://creativecommons.org/licenses/by/4.0/).

Funding

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 Committee, The Government of the Hong Kong Special Administrative Region (Ref. No. C7154-20GF). F.T.T.L., C.K.H.W., and I.C.K.W.’s post received partial funding from D24H. Hence, this work was also partially supported by InnoHK initiative of the Innovation and Technology Commission of the Hong Kong Special Administrative Region Government.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • COVID-19
  • Long-COVID
  • Multimorbidity
  • Primary health care
  • Public health
  • Vaccination

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