Three doses of vaccine before infection may prevent Long COVID

Written By :  Dr.Niharika Harsha B
Medically Reviewed By :  Dr. Kamal Kant Kohli
Published On 2023-10-17 05:45 GMT   |   Update On 2024-02-12 19:07 GMT
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In a groundbreaking systematic literature review and meta-analysis, a group of dedicated researchers has delved into the real-world impact of COVID-19 vaccination on post-COVID conditions, commonly known as "long COVID." The study aimed to provide a comprehensive understanding of the potential benefits of vaccination, particularly in relation to the timing of vaccine doses. 

The study results were published in the journal Cambridge University Press. 

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This comprehensive research endeavor followed a meticulous systematic literature review and meta-analysis approach. An extensive search was conducted across reputable databases, including PubMed, Cumulative Index to Nursing and Allied Health, EMBASE, Cochrane Central Register of Controlled Trials, Scopus, and Web of Science. The search period spanned from December 1, 2019, to June 2, 2023. The researchers meticulously selected studies that scrutinized the effectiveness of COVID-19 vaccines against post-COVID conditions, specifically focusing on fully vaccinated individuals who had received the recommended two vaccine doses. The study defined post-COVID conditions as any symptoms persisting for four weeks or more after a COVID-19 infection. A critical component of the analysis was the calculation of the pooled diagnostic odds ratio (DOR) with a 95% confidence interval for post-COVID conditions in fully vaccinated and unvaccinated individuals. The vital metric of vaccine effectiveness was calculated as 100% x (1-DOR).

Insights of the study: 

  • The comprehensive analysis integrated data from a substantial thirty-two studies, collectively encompassing 775,931 individuals.
  • These participants were meticulously assessed to gauge the impact of vaccination on post-COVID conditions.
  • Within this extensive dataset, twenty-four studies were subjected to the rigorous meta-analysis process.
  • The results presented a compelling narrative: the pooled diagnostic odds ratio (DOR) for post-COVID conditions among fully vaccinated individuals was 0.680 (95% CI: 0.523–0.885), a figure that translated into an estimated vaccine effectiveness of 32.0% (with a range of 11.5%–47.7%).
  • Those individuals who had received two doses of the COVID-19 vaccine before contracting COVID-19 enjoyed a vaccine effectiveness rate estimated at 36.9% (with a range of 23.1%–48.2%).
  • Meanwhile, individuals who received three doses prior to their COVID-19 infection demonstrated a notably higher vaccine effectiveness rate of 68.7% (with a range of 64.7%–72.2%).
  • It's crucial to note that a stratified analysis brought to light an essential revelation where receiving the COVID-19 vaccine after contracting COVID-19 did not provide protection against the occurrence of post-COVID conditions.

These research outcomes hold significant implications for public health and the global response to the ongoing COVID-19 pandemic. They underscore the critical importance of completing the recommended vaccination regimen in reducing the risk of post-COVID conditions, even amidst the emergence of concerning variants like Omicron. Furthermore, the findings emphasize the considerable benefits of timely administration and supplementary doses of the vaccine. This knowledge further empowers healthcare providers, policymakers, and the general population in making informed decisions and shaping the future course of the battle against COVID-19. The research not only contributes to a deeper understanding of the long-term consequences of COVID-19 but also highlights the protective potential of vaccination, further bolstering the case for widespread vaccine adoption.

Further reading: Marra AR, Kobayashi T, Callado GY, et al. The effectiveness of COVID-19 vaccine in the prevention of post-COVID conditions: a systematic literature review and meta-analysis of the latest research. Antimicrobial Stewardship & Healthcare Epidemiology. 2023;3(1):e168. doi:10.1017/ash.2023.447

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Article Source : Cambridge University Press

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