Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2024 Nov 18:12:1437388.
doi: 10.3389/fpubh.2024.1437388. eCollection 2024.

Assessing the impact of vaccines on COVID-19 efficacy in survival rates: a survival analysis approach for clinical decision support

Juan Luis González Rodríguez #  1 , Andreea M Oprescu #  2 , Sergio Muñoz Lezcano  3 , Jaime Cordero Ramos  4   5 , Juan Luis Romero Cabrera  6   7 , Miguel Ángel Armengol de la Hoz  1 , Ángel Estella  8
Affiliations

Assessing the impact of vaccines on COVID-19 efficacy in survival rates: a survival analysis approach for clinical decision support

Juan Luis González Rodríguez et al. Front Public Health. .

Abstract

Background: The global COVID-19 pandemic, caused by the SARS-CoV-2 virus, has presented significant challenges to healthcare systems worldwide.

Objective: This study, based on an analysis of a cohort from the Public Health System of Andalusia (Spain), aims to evaluate how vaccination affects case-fatality rate in patients hospitalized due to COVID-19 infection in Andalusia.

Methods: The cohort consists of 37,274 individuals after applying the inclusion criteria. We conducted survival analyses employing the Cox proportional hazards models and generated adjusted survival curves to examine the outcomes. The analyses were performed from three perspectives: vaccinated vs. unvaccinated patients, vaccinated and unvaccinated patients grouped by age, and stratified by vaccination status.

Results: Results indicate a substantial correlation between vaccination and a 20% reduction in the risk of case-fatality. Age-specific effects reveal varying degrees of protection across different age groups.

Conclusion: These findings emphasize the pivotal role of vaccination status in COVID-19 risk assessment, supporting the development of a clinical decision support system for accurate predictions and optimizing healthcare management at admission.

Keywords: COVID-19; clinical decision support system; clinical decision-making; predictive modeling; vaccine.

PubMed Disclaimer

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Criteria for inclusion/exclusion and reasons for data removal.
Figure 2
Figure 2
Adjusted survival analysis for Cox proportional hazards general model for case-mortality rate between unvaccinated and vaccinated population.
Figure 3
Figure 3
Forest plot of hazard ratios for general model for case-mortality rate between unvaccinated and vaccinated population.
Figure 4
Figure 4
Adjusted survival curves for Cox proportional hazards model by age groups.
See this image and copyright information in PMC

Similar articles

See all similar articles

Cited by

References

    1. Zhu N, Zhang D, Wang W, Li X, Yang B, Song J, et al. . A novel coronavirus from patients with pneumonia in China, 2019. N Engl J Med. (2020) 382:727–33. 10.1056/NEJMoa2001017 - DOI - PMC - PubMed
    1. Dong E, Du H, Gardner L. An interactive web-based dashboard to track COVID-19 in real time. Lancet Infect Dis. (2020) 20:533–4. 10.1016/S1473-3099(20)30120-1 - DOI - PMC - PubMed
    1. Weiss P, Murdoch DR. Clinical course and mortality risk of severe COVID-19. Lancet. (2020) 395:1014–5. 10.1016/S0140-6736(20)30633-4 - DOI - PMC - PubMed
    1. Richardson S, Hirsch JS, Narasimhan M, Crawford JM, McGinn T, Davidson KW, et al. . Presenting characteristics, comorbidities, and outcomes among 5700 patients hospitalized with COVID-19 in the New York City area. JAMA. (2020) 323:2052–9. 10.1001/jama.2020.6775 - DOI - PMC - PubMed
    1. Lu R, Zhao X, Li J, Niu P, Yang B, Wu H, et al. . Genomic characterisation and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding. Lancet. (2020) 395:565–74. 10.1016/S0140-6736(20)30251-8 - DOI - PMC - PubMed

Substances

LinkOut - more resources