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COVID-19 vaccine effectiveness against the Omicron variant of SARS-CoV-2 in multimorbidity: A territory-wide case-control study

  • Francisco Tsz Tsun Lai
  • , Vincent Ka Chun Yan
  • , Eric Yuk Fai Wan
  • , Cheyenne I. Ying Chan
  • , Cuiling Wei
  • , Franco Wing Tak Cheng
  • , Celine Sze Ling Chui
  • , Xue Li
  • , Carlos King Ho Wong
  • , Ching Lung Cheung
  • , Ian Chi Kei Wong
  • , Esther Wai Yin Chan

Research output: Contribution to journalArticlepeer-review

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Abstract

Multimorbidity entails a higher risk of SARS-CoV-2 infection and COVID-19 complications. We examined vaccine effectiveness (VE) stratified by multimorbidity using a case-control study of territory-wide electronic health records in Hong Kong. Cases of infection (testing positive), hospitalization, and mortality were identified from January to March 2022. Controls were matched by age, sex, outpatient attendance/hospitalization date, and Charlson Comorbidity Index. We demonstrated a consistently good VE among people with increased multimorbidity burden; even more so than among those with minimal such burden. There was also a significantly greater VE after a third dose of BNT162b2 or CoronaVac against infection. The difference in VE between those with multimorbidity and those without was less pronounced for hospitalization, and such difference for COVID-19-related mortality was negligible. In conclusion, VE of both examined vaccines against SARS-CoV-2 infection among people with more complex multimorbidity burden is significant. Further vaccine roll-out should prioritize people with multimorbidity.
Original languageEnglish
Article number109428
Number of pages12
JournaliScience
Volume27
Issue number4
Early online date4 Mar 2024
DOIs
Publication statusPublished - 19 Apr 2024

Bibliographical note

Copyright © 2024 The Authors. This is an open access article under the CC BY-NC license (https://creativecommons.org/licenses/by-nc/4.0/).

Funding

This work was funded by a research grant from the Food and Health Bureau ; HMRF Research on COVID-19 , The Government of the Hong Kong Special Administrative Region ( Principal Investigator (WP2): E.W.Y.C. ; Principal Applicant PL ; Ref: COVID1903011 ). F.T.T.L. and I.C.K.W. are partially supported by the Laboratory of Data Discovery for Health (D24H) funded by the AIR@InnoHK administered by Innovation and Technology Commission . The funders played no role in the design, conduct and dissemination of the study.

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