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

  • Juan Luis González Rodríguez
  • , Andreea M. Oprescu
  • , Sergio Muñoz Lezcano
  • , Jaime Cordero Ramos*
  • , Juan Luis Romero Cabrera
  • , Miguel Ángel Armengol de la Hoz
  • , Ángel Estella*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

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.

Original languageEnglish
Article number1437388
JournalFrontiers in Public Health
Volume12
DOIs
Publication statusPublished - 2024
Externally publishedYes

Keywords

  • COVID-19
  • clinical decision support system
  • clinical decision-making
  • predictive modeling
  • vaccine

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