The Effectiveness of COVID-19 Vaccination on Post-Acute Sequelae of SARS-CoV-2 Infection Among Geriatric Patients

J Med Virol. 2024 Dec;96(12):e70119. doi: 10.1002/jmv.70119.

Abstract

This study aims to evaluate the effectiveness of anti-severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccines in preventing the post-acute sequelae of SARS-CoV-2 infection (PASC), commonly known as long COVID, and reducing all-cause mortality among older patients. A retrospective cohort study was conducted using the TriNetX database. The study cohort consisted of older patients (age ≥ 65 years) with their first COVID-19 illness between January 1, 2022, and May 31, 2024. Participants were divided into vaccinated and unvaccinated groups based on their vaccination status. Propensity score matching (PSM) was used to balance baseline characteristics. Cox regression models and log-rank tests were applied to estimate the hazard ratio (HR) for PASC and all-cause mortality during 30-180 days of follow-up. The study included 189 059 geriatric patients who contracted SARS-CoV-2, with 5615 vaccinated and 183 444 unvaccinated. After PSM, each group contained 5615 patients. Vaccinated patients exhibited a significantly lower incidence of PASC symptoms (HR = 0.852, 95% CI: 0.778-0.933, p = 0.0005), particularly anxiety and depression, with a HR of 0.710 (95% CI: 0.575-0.878, p = 0.0015). Vaccination was also significantly associated with reduced all-cause mortality (HR = 0.231, 95% CI: 0.136-0.394, p < 0.0001). The findings highlight the effectiveness of COVID-19 vaccination in mitigating the development of PASC and decreasing mortality among older patients.

Keywords: COVID‐19; elder; geriatric; long COVID‐19; vaccination.

MeSH terms

  • Aged
  • Aged, 80 and over
  • COVID-19 Vaccines* / administration & dosage
  • COVID-19 Vaccines* / immunology
  • COVID-19* / epidemiology
  • COVID-19* / mortality
  • COVID-19* / prevention & control
  • Female
  • Humans
  • Male
  • Post-Acute COVID-19 Syndrome
  • Retrospective Studies
  • SARS-CoV-2* / immunology
  • Vaccination* / statistics & numerical data

Substances

  • COVID-19 Vaccines